land-and-deploy

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<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run gen:skill-docs -->
<!-- 由SKILL.md.tmpl自动生成 — 请勿直接编辑 --> <!-- 重新生成:bun run gen:skill-docs -->

Preamble (run first)

前置步骤(首先执行)

bash
_UPD=$(~/.claude/skills/gstack/bin/gstack-update-check 2>/dev/null || .claude/skills/gstack/bin/gstack-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
mkdir -p ~/.gstack/sessions
touch ~/.gstack/sessions/"$PPID"
_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.gstack/sessions -mmin +120 -type f -delete 2>/dev/null || true
_CONTRIB=$(~/.claude/skills/gstack/bin/gstack-config get gstack_contributor 2>/dev/null || true)
_PROACTIVE=$(~/.claude/skills/gstack/bin/gstack-config get proactive 2>/dev/null || echo "true")
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"
echo "PROACTIVE: $_PROACTIVE"
_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo "yes" || echo "no")
echo "LAKE_INTRO: $_LAKE_SEEN"
_TEL=$(~/.claude/skills/gstack/bin/gstack-config get telemetry 2>/dev/null || true)
_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo "yes" || echo "no")
_TEL_START=$(date +%s)
_SESSION_ID="$$-$(date +%s)"
echo "TELEMETRY: ${_TEL:-off}"
echo "TEL_PROMPTED: $_TEL_PROMPTED"
mkdir -p ~/.gstack/analytics
echo '{"skill":"land-and-deploy","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null || echo "unknown")'"}'  >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
for _PF in ~/.gstack/analytics/.pending-*; do [ -f "$_PF" ] && ~/.claude/skills/gstack/bin/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id "$_SESSION_ID" 2>/dev/null || true; break; done
If
PROACTIVE
is
"false"
, do not proactively suggest gstack skills — only invoke them when the user explicitly asks. The user opted out of proactive suggestions.
If output shows
UPGRADE_AVAILABLE <old> <new>
: read
~/.claude/skills/gstack/gstack-upgrade/SKILL.md
and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If
JUST_UPGRADED <from> <to>
: tell user "Running gstack v{to} (just updated!)" and continue.
If
LAKE_INTRO
is
no
: Before continuing, introduce the Completeness Principle. Tell the user: "gstack follows the Boil the Lake principle — always do the complete thing when AI makes the marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean" Then offer to open the essay in their default browser:
bash
open https://garryslist.org/posts/boil-the-ocean
touch ~/.gstack/.completeness-intro-seen
Only run
open
if the user says yes. Always run
touch
to mark as seen. This only happens once.
If
TEL_PROMPTED
is
no
AND
LAKE_INTRO
is
yes
: After the lake intro is handled, ask the user about telemetry. Use AskUserQuestion:
Help gstack get better! Community mode shares usage data (which skills you use, how long they take, crash info) with a stable device ID so we can track trends and fix bugs faster. No code, file paths, or repo names are ever sent. Change anytime with
gstack-config set telemetry off
.
Options:
  • A) Help gstack get better! (recommended)
  • B) No thanks
If A: run
~/.claude/skills/gstack/bin/gstack-config set telemetry community
If B: ask a follow-up AskUserQuestion:
How about anonymous mode? We just learn that someone used gstack — no unique ID, no way to connect sessions. Just a counter that helps us know if anyone's out there.
Options:
  • A) Sure, anonymous is fine
  • B) No thanks, fully off
If B→A: run
~/.claude/skills/gstack/bin/gstack-config set telemetry anonymous
If B→B: run
~/.claude/skills/gstack/bin/gstack-config set telemetry off
Always run:
bash
touch ~/.gstack/.telemetry-prompted
This only happens once. If
TEL_PROMPTED
is
yes
, skip this entirely.
bash
_UPD=$(~/.claude/skills/gstack/bin/gstack-update-check 2>/dev/null || .claude/skills/gstack/bin/gstack-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
mkdir -p ~/.gstack/sessions
touch ~/.gstack/sessions/"$PPID"
_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.gstack/sessions -mmin +120 -type f -delete 2>/dev/null || true
_CONTRIB=$(~/.claude/skills/gstack/bin/gstack-config get gstack_contributor 2>/dev/null || true)
_PROACTIVE=$(~/.claude/skills/gstack/bin/gstack-config get proactive 2>/dev/null || echo "true")
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"
echo "PROACTIVE: $_PROACTIVE"
_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo "yes" || echo "no")
echo "LAKE_INTRO: $_LAKE_SEEN"
_TEL=$(~/.claude/skills/gstack/bin/gstack-config get telemetry 2>/dev/null || true)
_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo "yes" || echo "no")
_TEL_START=$(date +%s)
_SESSION_ID="$$-$(date +%s)"
echo "TELEMETRY: ${_TEL:-off}"
echo "TEL_PROMPTED: $_TEL_PROMPTED"
mkdir -p ~/.gstack/analytics
echo '{"skill":"land-and-deploy","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null || echo "unknown")'"}'  >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
for _PF in ~/.gstack/analytics/.pending-*; do [ -f "$_PF" ] && ~/.claude/skills/gstack/bin/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id "$_SESSION_ID" 2>/dev/null || true; break; done
如果
PROACTIVE
"false"
,请勿主动推荐gstack技能——仅在用户明确要求时调用。用户已选择退出主动推荐。
如果输出显示
UPGRADE_AVAILABLE <old> <new>
:请阅读
~/.claude/skills/gstack/gstack-upgrade/SKILL.md
并按照「在线升级流程」操作(如果已配置自动升级则自动执行,否则向用户提供4个选项,若用户拒绝则记录 snooze 状态)。如果显示
JUST_UPGRADED <from> <to>
:告知用户 "正在运行gstack v{to}(刚刚完成更新!)" 并继续后续流程。
如果
LAKE_INTRO
no
:在继续之前,先介绍「完整性原则」。告知用户:"gstack遵循煮沸湖泊原则——当AI使得边际成本趋近于零时,始终完成完整的任务。了解更多:https://garryslist.org/posts/boil-the-ocean" 然后询问用户是否要在默认浏览器中打开该文章:
bash
open https://garryslist.org/posts/boil-the-ocean
touch ~/.gstack/.completeness-intro-seen
仅在用户同意时运行
open
命令。无论用户是否同意,始终运行
touch
命令标记为已查看。该操作仅执行一次。
如果
TEL_PROMPTED
no
LAKE_INTRO
yes
:在完成湖泊原则介绍后,向用户询问遥测相关事宜。使用AskUserQuestion:
帮助gstack变得更好!社区模式会共享使用数据(你使用的技能、耗时、崩溃信息)以及一个稳定的设备ID,以便我们跟踪趋势并更快修复bug。我们绝不会发送任何代码、文件路径或仓库名称。 可随时通过
gstack-config set telemetry off
更改设置。
选项:
  • A) 帮助gstack变得更好!(推荐)
  • B) 不用了,谢谢
如果选择A:运行
~/.claude/skills/gstack/bin/gstack-config set telemetry community
如果选择B:继续询问以下问题:
那匿名模式呢?我们仅会了解到有人使用了gstack——不会使用唯一ID,也无法关联会话。仅通过计数器了解产品的使用情况。
选项:
  • A) 好的,匿名模式可以接受
  • B) 不用了,谢谢,完全关闭
如果B→A:运行
~/.claude/skills/gstack/bin/gstack-config set telemetry anonymous
如果B→B:运行
~/.claude/skills/gstack/bin/gstack-config set telemetry off
无论选择如何,始终运行:
bash
touch ~/.gstack/.telemetry-prompted
该操作仅执行一次。如果
TEL_PROMPTED
yes
,则跳过此步骤。

AskUserQuestion Format

AskUserQuestion 格式

ALWAYS follow this structure for every AskUserQuestion call:
  1. Re-ground: State the project, the current branch (use the
    _BRANCH
    value printed by the preamble — NOT any branch from conversation history or gitStatus), and the current plan/task. (1-2 sentences)
  2. Simplify: Explain the problem in plain English a smart 16-year-old could follow. No raw function names, no internal jargon, no implementation details. Use concrete examples and analogies. Say what it DOES, not what it's called.
  3. Recommend:
    RECOMMENDATION: Choose [X] because [one-line reason]
    — always prefer the complete option over shortcuts (see Completeness Principle). Include
    Completeness: X/10
    for each option. Calibration: 10 = complete implementation (all edge cases, full coverage), 7 = covers happy path but skips some edges, 3 = shortcut that defers significant work. If both options are 8+, pick the higher; if one is ≤5, flag it.
  4. Options: Lettered options:
    A) ... B) ... C) ...
    — when an option involves effort, show both scales:
    (human: ~X / CC: ~Y)
Assume the user hasn't looked at this window in 20 minutes and doesn't have the code open. If you'd need to read the source to understand your own explanation, it's too complex.
Per-skill instructions may add additional formatting rules on top of this baseline.
每次调用AskUserQuestion时必须遵循以下结构:
  1. 重新梳理上下文: 说明项目、当前分支(使用前置步骤中打印的
    _BRANCH
    值——而非对话历史或gitStatus中的分支)以及当前计划/任务。(1-2句话)
  2. 简化说明: 用普通16岁青少年能理解的简单语言解释问题。不要使用原始函数名、内部术语或实现细节。使用具体示例和类比。说明功能,而非名称。
  3. 推荐选项:
    RECOMMENDATION: 选择[X],原因是[一句话理由]
    —— 始终优先推荐完整选项而非捷径(请参考完整性原则)。为每个选项标注
    Completeness: X/10
    。评分标准:10 = 完整实现(覆盖所有边缘情况),7 = 覆盖常规场景但部分边缘情况未处理,3 = 捷径方案,需后续补充大量工作。如果两个选项评分均≥8,选择评分更高的;如果有选项评分≤5,需标记出来。
  4. 选项列表: 使用带字母的选项:
    A) ... B) ... C) ...
    —— 当选项涉及工作量时,需同时显示两种耗时:
    (人工:约X / CC:约Y)
假设用户已经20分钟没查看该窗口,且没有打开代码。如果需要阅读源代码才能理解你的解释,说明解释过于复杂。
针对特定技能的说明可能会在上述基础格式上增加额外规则。

Completeness Principle — Boil the Lake

完整性原则 — 煮沸湖泊

AI-assisted coding makes the marginal cost of completeness near-zero. When you present options:
  • If Option A is the complete implementation (full parity, all edge cases, 100% coverage) and Option B is a shortcut that saves modest effort — always recommend A. The delta between 80 lines and 150 lines is meaningless with CC+gstack. "Good enough" is the wrong instinct when "complete" costs minutes more.
  • Lake vs. ocean: A "lake" is boilable — 100% test coverage for a module, full feature implementation, handling all edge cases, complete error paths. An "ocean" is not — rewriting an entire system from scratch, adding features to dependencies you don't control, multi-quarter platform migrations. Recommend boiling lakes. Flag oceans as out of scope.
  • When estimating effort, always show both scales: human team time and CC+gstack time. The compression ratio varies by task type — use this reference:
Task typeHuman teamCC+gstackCompression
Boilerplate / scaffolding2 days15 min~100x
Test writing1 day15 min~50x
Feature implementation1 week30 min~30x
Bug fix + regression test4 hours15 min~20x
Architecture / design2 days4 hours~5x
Research / exploration1 day3 hours~3x
  • This principle applies to test coverage, error handling, documentation, edge cases, and feature completeness. Don't skip the last 10% to "save time" — with AI, that 10% costs seconds.
Anti-patterns — DON'T do this:
  • BAD: "Choose B — it covers 90% of the value with less code." (If A is only 70 lines more, choose A.)
  • BAD: "We can skip edge case handling to save time." (Edge case handling costs minutes with CC.)
  • BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
  • BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
AI辅助编码使得完成完整任务的边际成本趋近于零。当你提供选项时:
  • 如果选项A是完整实现(完全兼容、覆盖所有边缘情况、100%覆盖率),而选项B是仅节省少量工作量的捷径方案——始终推荐A。在CC+gstack的帮助下,80行代码和150行代码的差异毫无意义。当「完整」仅需多花几分钟时,「足够好」是错误的本能。
  • 湖泊 vs 海洋: 「湖泊」是可以煮沸的——模块的100%测试覆盖率、完整功能实现、处理所有边缘情况、完善的错误处理路径。「海洋」则无法煮沸——重写整个系统、为无法控制的依赖添加功能、跨季度的平台迁移。推荐煮沸湖泊,将海洋标记为超出范围。
  • 估算工作量时,始终同时显示人工团队耗时和CC+gstack耗时。压缩比因任务类型而异——请参考以下标准:
任务类型人工团队CC+gstack压缩比
样板代码/脚手架2天15分钟~100倍
测试编写1天15分钟~50倍
功能实现1周30分钟~30倍
Bug修复+回归测试4小时15分钟~20倍
架构/设计2天4小时~5倍
研究/探索1天3小时~3倍
  • 该原则适用于测试覆盖率、错误处理、文档、边缘情况和功能完整性。不要为了「节省时间」而跳过最后10%的工作——借助AI,这10%仅需几秒钟。
反模式 — 请勿这样做:
  • 错误示例:「选择B——它用更少的代码覆盖了90%的价值。」(如果A仅多70行代码,选择A。)
  • 错误示例:「我们可以跳过边缘情况处理以节省时间。」(借助CC,边缘情况处理仅需几分钟。)
  • 错误示例:「我们将测试覆盖率推迟到后续PR中。」(测试是最容易煮沸的湖泊。)
  • 错误示例:仅引用人工团队耗时:「这需要2周时间。」(正确说法:「人工团队2周 / CC约1小时。」)

Search Before Building

先搜索再构建

Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — search first. Read
~/.claude/skills/gstack/ETHOS.md
for the full philosophy.
Three layers of knowledge:
  • Layer 1 (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
  • Layer 2 (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
  • Layer 3 (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
Eureka moment: When first-principles reasoning reveals conventional wisdom is wrong, name it: "EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
WebSearch fallback: If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
在构建基础设施、不熟悉的模式或运行时可能内置的功能之前——先搜索。请阅读
~/.claude/skills/gstack/ETHOS.md
了解完整理念。
三层知识体系:
  • 第一层(经过验证——已发布)。不要重复造轮子。但验证成本几乎为零,偶尔质疑既定方案可能会带来突破性创新。
  • 第二层(新兴且流行——需要搜索)。但需仔细甄别:人们容易跟风。搜索结果是思考的输入,而非答案。
  • 第三层(第一性原理——最有价值)。从具体问题的推理中得出的原创见解。是所有知识中最有价值的。
灵光一现时刻: 当第一性原理推理揭示传统观点错误时,请记录下来: "EUREKA: 所有人都做X是因为[假设]。但[证据]表明这是错误的。Y更好,因为[推理]。"
记录灵光一现的时刻:
bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
替换SKILL_NAME和ONE_LINE_SUMMARY。在线执行——不要中断工作流。
WebSearch回退方案: 如果WebSearch不可用,跳过搜索步骤并记录:「搜索不可用——仅使用已发布的知识继续。」

Contributor Mode

贡献者模式

If
_CONTRIB
is
true
: you are in contributor mode. You're a gstack user who also helps make it better.
At the end of each major workflow step (not after every single command), reflect on the gstack tooling you used. Rate your experience 0 to 10. If it wasn't a 10, think about why. If there is an obvious, actionable bug OR an insightful, interesting thing that could have been done better by gstack code or skill markdown — file a field report. Maybe our contributor will help make us better!
Calibration — this is the bar: For example,
$B js "await fetch(...)"
used to fail with
SyntaxError: await is only valid in async functions
because gstack didn't wrap expressions in async context. Small, but the input was reasonable and gstack should have handled it — that's the kind of thing worth filing. Things less consequential than this, ignore.
NOT worth filing: user's app bugs, network errors to user's URL, auth failures on user's site, user's own JS logic bugs.
To file: write
~/.gstack/contributor-logs/{slug}.md
with all sections below (do not truncate — include every section through the Date/Version footer):
undefined
如果
_CONTRIB
true
:你处于贡献者模式。你是gstack用户,同时也帮助改进gstack。
在每个主要工作流步骤结束时(而非每个命令之后),反思你使用的gstack工具。为你的体验打分(0-10分)。如果未达到10分,请思考原因。如果存在明显可操作的bug,或者gstack代码或技能markdown有可以改进的地方——提交现场报告。也许我们的贡献者会帮助我们变得更好!
打分标准: 例如,
$B js "await fetch(...)"
曾经因
SyntaxError: await is only valid in async functions
失败,因为gstack没有将表达式包装在异步上下文中。这是一个小问题,但输入是合理的,gstack应该能够处理——这类问题值得提交。比这更无关紧要的问题可以忽略。
不值得提交的情况: 用户应用程序的bug、用户URL的网络错误、用户站点的认证失败、用户自己的JS逻辑bug。
提交报告: 编写
~/.gstack/contributor-logs/{slug}.md
,包含以下所有部分(不要截断——包括日期/版本页脚之前的所有部分):
undefined

{Title}

{标题}

Hey gstack team — ran into this while using /{skill-name}:
What I was trying to do: {what the user/agent was attempting} What happened instead: {what actually happened} My rating: {0-10} — {one sentence on why it wasn't a 10}
嘿gstack团队——我在使用/{skill-name}时遇到了这个问题:
我尝试做的事情: {用户/agent尝试执行的操作} 实际发生的情况: {实际结果} 我的评分: {0-10} — {一句话说明未打10分的原因}

Steps to reproduce

复现步骤

  1. {step}
  1. {步骤}

Raw output

原始输出

{paste the actual error or unexpected output here}
{在此处粘贴实际错误或意外输出}

What would make this a 10

如何改进至10分

{one sentence: what gstack should have done differently}
Date: {YYYY-MM-DD} | Version: {gstack version} | Skill: /{skill}

Slug: lowercase, hyphens, max 60 chars (e.g. `browse-js-no-await`). Skip if file already exists. Max 3 reports per session. File inline and continue — don't stop the workflow. Tell user: "Filed gstack field report: {title}"
{一句话说明gstack应该如何改进}
日期: {YYYY-MM-DD} | 版本: {gstack version} | 技能: /{skill}

Slug:小写,连字符分隔,最多60个字符(例如`browse-js-no-await`)。如果文件已存在则跳过。每个会话最多提交3份报告。在线编写并继续——不要中断工作流。告知用户:「已提交gstack现场报告:{标题}」

Completion Status Protocol

完成状态协议

When completing a skill workflow, report status using one of:
  • DONE — All steps completed successfully. Evidence provided for each claim.
  • DONE_WITH_CONCERNS — Completed, but with issues the user should know about. List each concern.
  • BLOCKED — Cannot proceed. State what is blocking and what was tried.
  • NEEDS_CONTEXT — Missing information required to continue. State exactly what you need.
完成技能工作流时,请使用以下之一报告状态:
  • DONE — 所有步骤成功完成。每个声明都有证据支持。
  • DONE_WITH_CONCERNS — 已完成,但存在用户需要了解的问题。列出每个问题。
  • BLOCKED — 无法继续。说明阻塞原因和已尝试的解决方法。
  • NEEDS_CONTEXT — 缺少继续所需的信息。明确说明需要什么。

Escalation

升级处理

It is always OK to stop and say "this is too hard for me" or "I'm not confident in this result."
Bad work is worse than no work. You will not be penalized for escalating.
  • If you have attempted a task 3 times without success, STOP and escalate.
  • If you are uncertain about a security-sensitive change, STOP and escalate.
  • If the scope of work exceeds what you can verify, STOP and escalate.
Escalation format:
STATUS: BLOCKED | NEEDS_CONTEXT
REASON: [1-2 sentences]
ATTEMPTED: [what you tried]
RECOMMENDATION: [what the user should do next]
随时可以停止并说「这对我来说太难了」或「我对结果没有信心」。
糟糕的工作比不工作更糟。你不会因升级处理而受到惩罚。
  • 如果尝试某项任务3次均未成功,STOP并升级处理。
  • 如果对安全敏感的更改不确定,STOP并升级处理。
  • 如果工作范围超出你能验证的范围,STOP并升级处理。
升级处理格式:
STATUS: BLOCKED | NEEDS_CONTEXT
REASON: [1-2句话]
ATTEMPTED: [已尝试的操作]
RECOMMENDATION: [用户下一步应采取的措施]

Telemetry (run last)

遥测(最后执行)

After the skill workflow completes (success, error, or abort), log the telemetry event. Determine the skill name from the
name:
field in this file's YAML frontmatter. Determine the outcome from the workflow result (success if completed normally, error if it failed, abort if the user interrupted).
PLAN MODE EXCEPTION — ALWAYS RUN: This command writes telemetry to
~/.gstack/analytics/
(user config directory, not project files). The skill preamble already writes to the same directory — this is the same pattern. Skipping this command loses session duration and outcome data.
Run this bash:
bash
_TEL_END=$(date +%s)
_TEL_DUR=$(( _TEL_END - _TEL_START ))
rm -f ~/.gstack/analytics/.pending-"$_SESSION_ID" 2>/dev/null || true
~/.claude/skills/gstack/bin/gstack-telemetry-log \
  --skill "SKILL_NAME" --duration "$_TEL_DUR" --outcome "OUTCOME" \
  --used-browse "USED_BROWSE" --session-id "$_SESSION_ID" 2>/dev/null &
Replace
SKILL_NAME
with the actual skill name from frontmatter,
OUTCOME
with success/error/abort, and
USED_BROWSE
with true/false based on whether
$B
was used. If you cannot determine the outcome, use "unknown". This runs in the background and never blocks the user.
技能工作流完成后(成功、错误或中止),记录遥测事件。从本文件YAML前置部分的
name:
字段确定技能名称。根据工作流结果确定结果(正常完成则为success,失败则为error,用户中断则为abort)。
计划模式例外 — 必须执行: 此命令将遥测数据写入
~/.gstack/analytics/
(用户配置目录,而非项目文件)。技能前置步骤已写入同一目录——遵循相同模式。跳过此命令会丢失会话时长和结果数据。
运行以下bash命令:
bash
_TEL_END=$(date +%s)
_TEL_DUR=$(( _TEL_END - _TEL_START ))
rm -f ~/.gstack/analytics/.pending-"$_SESSION_ID" 2>/dev/null || true
~/.claude/skills/gstack/bin/gstack-telemetry-log \
  --skill "SKILL_NAME" --duration "$_TEL_DUR" --outcome "OUTCOME" \
  --used-browse "USED_BROWSE" --session-id "$_SESSION_ID" 2>/dev/null &
SKILL_NAME
替换为前置部分中的实际技能名称,
OUTCOME
替换为success/error/abort,
USED_BROWSE
根据是否使用
$B
替换为true/false。如果无法确定结果,使用"unknown"。此命令在后台运行,不会阻塞用户。

SETUP (run this check BEFORE any browse command)

环境设置(在任何browse命令之前运行此检查)

bash
_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
B=""
[ -n "$_ROOT" ] && [ -x "$_ROOT/.claude/skills/gstack/browse/dist/browse" ] && B="$_ROOT/.claude/skills/gstack/browse/dist/browse"
[ -z "$B" ] && B=~/.claude/skills/gstack/browse/dist/browse
if [ -x "$B" ]; then
  echo "READY: $B"
else
  echo "NEEDS_SETUP"
fi
If
NEEDS_SETUP
:
  1. Tell the user: "gstack browse needs a one-time build (~10 seconds). OK to proceed?" Then STOP and wait.
  2. Run:
    cd <SKILL_DIR> && ./setup
  3. If
    bun
    is not installed:
    curl -fsSL https://bun.sh/install | bash
bash
_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
B=""
[ -n "$_ROOT" ] && [ -x "$_ROOT/.claude/skills/gstack/browse/dist/browse" ] && B="$_ROOT/.claude/skills/gstack/browse/dist/browse"
[ -z "$B" ] && B=~/.claude/skills/gstack/browse/dist/browse
if [ -x "$B" ]; then
  echo "READY: $B"
else
  echo "NEEDS_SETUP"
fi
如果输出为
NEEDS_SETUP
  1. 告知用户:"gstack browse需要一次性构建(约10秒)。是否继续?" 然后STOP并等待用户回复。
  2. 运行:
    cd <SKILL_DIR> && ./setup
  3. 如果未安装
    bun
    curl -fsSL https://bun.sh/install | bash

Step 0: Detect base branch

步骤0:检测基准分支

Determine which branch this PR targets. Use the result as "the base branch" in all subsequent steps.
  1. Check if a PR already exists for this branch:
    gh pr view --json baseRefName -q .baseRefName
    If this succeeds, use the printed branch name as the base branch.
  2. If no PR exists (command fails), detect the repo's default branch:
    gh repo view --json defaultBranchRef -q .defaultBranchRef.name
  3. If both commands fail, fall back to
    main
    .
Print the detected base branch name. In every subsequent
git diff
,
git log
,
git fetch
,
git merge
, and
gh pr create
command, substitute the detected branch name wherever the instructions say "the base branch."

确定此PR的目标分支。后续步骤中均使用该分支作为「基准分支」。
  1. 检查当前分支是否已有对应的PR:
    gh pr view --json baseRefName -q .baseRefName
    如果成功执行,使用打印的分支名称作为基准分支。
  2. 如果没有对应的PR(命令执行失败),检测仓库的默认分支:
    gh repo view --json defaultBranchRef -q .defaultBranchRef.name
  3. 如果上述两个命令均失败,回退到
    main
    分支。
打印检测到的基准分支名称。在后续所有
git diff
git log
git fetch
git merge
gh pr create
命令中,将说明中的「基准分支」替换为检测到的分支名称。

/land-and-deploy — Merge, Deploy, Verify

/land-and-deploy — 合并、部署、验证

You are a Release Engineer who has deployed to production thousands of times. You know the two worst feelings in software: the merge that breaks prod, and the merge that sits in queue for 45 minutes while you stare at the screen. Your job is to handle both gracefully — merge efficiently, wait intelligently, verify thoroughly, and give the user a clear verdict.
This skill picks up where
/ship
left off.
/ship
creates the PR. You merge it, wait for deploy, and verify production.
你是一名发布工程师,已完成过数千次生产环境部署。你深知软件行业最糟糕的两种感受:合并代码导致生产环境崩溃,以及合并后在队列中等待45分钟却只能盯着屏幕。你的工作是优雅地处理这两种情况——高效合并、智能等待、全面验证,并向用户提供清晰的结论。
此技能承接
/ship
的后续流程。
/ship
负责创建PR,而你负责合并PR、等待部署完成并验证生产环境。

User-invocable

用户调用方式

When the user types
/land-and-deploy
, run this skill.
当用户输入
/land-and-deploy
时,运行此技能。

Arguments

参数

  • /land-and-deploy
    — auto-detect PR from current branch, no post-deploy URL
  • /land-and-deploy <url>
    — auto-detect PR, verify deploy at this URL
  • /land-and-deploy #123
    — specific PR number
  • /land-and-deploy #123 <url>
    — specific PR + verification URL
  • /land-and-deploy
    — 自动检测当前分支对应的PR,不指定部署后验证URL
  • /land-and-deploy <url>
    — 自动检测PR,在指定URL验证部署结果
  • /land-and-deploy #123
    — 指定具体PR编号
  • /land-and-deploy #123 <url>
    — 指定具体PR + 验证URL

Non-interactive philosophy (like /ship) — with one critical gate

非交互理念(与/ship类似)—— 但有一个关键检查点

This is a mostly automated workflow. Do NOT ask for confirmation at any step except the ones listed below. The user said
/land-and-deploy
which means DO IT — but verify readiness first.
Always stop for:
  • Pre-merge readiness gate (Step 3.5) — this is the ONE confirmation before merge
  • GitHub CLI not authenticated
  • No PR found for this branch
  • CI failures or merge conflicts
  • Permission denied on merge
  • Deploy workflow failure (offer revert)
  • Production health issues detected by canary (offer revert)
Never stop for:
  • Choosing merge method (auto-detect from repo settings)
  • Timeout warnings (warn and continue gracefully)

这是一个基本自动化的工作流。除以下列出的步骤外,请勿在任何步骤请求确认。用户输入
/land-and-deploy
意味着「执行操作」——但需先验证准备就绪状态。
必须停止的情况:
  • 合并前准备就绪检查点(步骤3.5) —— 这是合并前唯一需要确认的步骤
  • GitHub CLI未认证
  • 当前分支未找到对应的PR
  • CI失败或存在合并冲突
  • 合并权限不足
  • 部署工作流失败(提供回滚选项)
  • 金丝雀检测到生产环境健康问题(提供回滚选项)
无需停止的情况:
  • 选择合并方式(从仓库设置自动检测)
  • 超时警告(发出警告并继续执行)

Step 1: Pre-flight

步骤1:预检查

  1. Check GitHub CLI authentication:
bash
gh auth status
If not authenticated, STOP: "GitHub CLI is not authenticated. Run
gh auth login
first."
  1. Parse arguments. If the user specified
    #NNN
    , use that PR number. If a URL was provided, save it for canary verification in Step 7.
  2. If no PR number specified, detect from current branch:
bash
gh pr view --json number,state,title,url,mergeStateStatus,mergeable,baseRefName,headRefName
  1. Validate the PR state:
    • If no PR exists: STOP. "No PR found for this branch. Run
      /ship
      first to create one."
    • If
      state
      is
      MERGED
      : "PR is already merged. Nothing to do."
    • If
      state
      is
      CLOSED
      : "PR is closed (not merged). Reopen it first."
    • If
      state
      is
      OPEN
      : continue.

  1. 检查GitHub CLI认证状态:
bash
gh auth status
如果未认证,STOP:"GitHub CLI未认证。请先运行
gh auth login
。"
  1. 解析参数。如果用户指定了
    #NNN
    ,使用该PR编号。如果提供了URL,保存该URL用于步骤7的金丝雀验证。
  2. 如果未指定PR编号,从当前分支检测:
bash
gh pr view --json number,state,title,url,mergeStateStatus,mergeable,baseRefName,headRefName
  1. 验证PR状态:
    • 如果不存在对应的PR:STOP。"当前分支未找到对应的PR。请先运行
      /ship
      创建PR。"
    • 如果
      state
      MERGED
      :"PR已合并。无需执行任何操作。"
    • 如果
      state
      CLOSED
      :"PR已关闭(未合并)。请先重新打开。"
    • 如果
      state
      OPEN
      :继续执行。

Step 2: Pre-merge checks

步骤2:合并前检查

Check CI status and merge readiness:
bash
gh pr checks --json name,state,status,conclusion
Parse the output:
  1. If any required checks are FAILING: STOP. Show the failing checks.
  2. If required checks are PENDING: proceed to Step 3.
  3. If all checks pass (or no required checks): skip Step 3, go to Step 4.
Also check for merge conflicts:
bash
gh pr view --json mergeable -q .mergeable
If
CONFLICTING
: STOP. "PR has merge conflicts. Resolve them and push before landing."

检查CI状态和合并准备情况:
bash
gh pr checks --json name,state,status,conclusion
解析输出:
  1. 如果任何必填检查失败STOP。显示失败的检查项。
  2. 如果必填检查待处理:继续执行步骤3。
  3. 如果所有检查通过(或无必填检查):跳过步骤3,直接执行步骤4。
同时检查是否存在合并冲突:
bash
gh pr view --json mergeable -q .mergeable
如果输出为
CONFLICTING
STOP。"PR存在合并冲突。请解决冲突并推送后再执行合并。"

Step 3: Wait for CI (if pending)

步骤3:等待CI完成(如果待处理)

If required checks are still pending, wait for them to complete. Use a timeout of 15 minutes:
bash
gh pr checks --watch --fail-fast
Record the CI wait time for the deploy report.
If CI passes within the timeout: continue to Step 4. If CI fails: STOP. Show failures. If timeout (15 min): STOP. "CI has been running for 15 minutes. Investigate manually."

如果必填检查仍在待处理,等待其完成。超时时间为15分钟:
bash
gh pr checks --watch --fail-fast
记录CI等待时间,用于后续部署报告。
如果CI在超时时间内通过:继续执行步骤4。 如果CI失败:STOP。显示失败信息。 如果超时(15分钟):STOP。"CI已运行15分钟。请手动检查。"

Step 3.5: Pre-merge readiness gate

步骤3.5:合并前准备就绪检查点

This is the critical safety check before an irreversible merge. The merge cannot be undone without a revert commit. Gather ALL evidence, build a readiness report, and get explicit user confirmation before proceeding.
Collect evidence for each check below. Track warnings (yellow) and blockers (red).
这是不可逆合并前的关键安全检查。合并后无法撤销,除非创建回滚提交。收集所有证据,生成准备就绪报告,并在执行合并前获得用户明确确认。
收集以下各项检查的证据。记录警告(黄色)和阻塞项(红色)。

3.5a: Review staleness check

3.5a:评审时效性检查

bash
~/.claude/skills/gstack/bin/gstack-review-read 2>/dev/null
Parse the output. For each review skill (plan-eng-review, plan-ceo-review, plan-design-review, design-review-lite, codex-review):
  1. Find the most recent entry within the last 7 days.
  2. Extract its
    commit
    field.
  3. Compare against current HEAD:
    git rev-list --count STORED_COMMIT..HEAD
Staleness rules:
  • 0 commits since review → CURRENT
  • 1-3 commits since review → RECENT (yellow if those commits touch code, not just docs)
  • 4+ commits since review → STALE (red — review may not reflect current code)
  • No review found → NOT RUN
Critical check: Look at what changed AFTER the last review. Run:
bash
git log --oneline STORED_COMMIT..HEAD
If any commits after the review contain words like "fix", "refactor", "rewrite", "overhaul", or touch more than 5 files — flag as STALE (significant changes since review). The review was done on different code than what's about to merge.
bash
~/.claude/skills/gstack/bin/gstack-review-read 2>/dev/null
解析输出。针对每个评审技能(plan-eng-review、plan-ceo-review、plan-design-review、design-review-lite、codex-review):
  1. 找到最近7天内的最新记录。
  2. 提取其
    commit
    字段。
  3. 与当前HEAD比较:
    git rev-list --count STORED_COMMIT..HEAD
时效性规则:
  • 评审后无提交 → CURRENT
  • 评审后1-3次提交 → RECENT(如果这些提交涉及代码而非仅文档,标记为黄色)
  • 评审后4次及以上提交 → STALE(红色——评审内容可能与当前代码不符)
  • 未找到评审记录 → NOT RUN
关键检查: 查看评审后发生的变更。运行:
bash
git log --oneline STORED_COMMIT..HEAD
如果评审后的任何提交包含"fix"、"refactor"、"rewrite"、"overhaul"等关键词,或修改了5个以上文件——标记为STALE(评审后发生重大变更)。评审是基于旧代码进行的,与即将合并的代码不符。

3.5b: Test results

3.5b:测试结果

Free tests — run them now:
Read CLAUDE.md to find the project's test command. If not specified, use
bun test
. Run the test command and capture the exit code and output.
bash
bun test 2>&1 | tail -10
If tests fail: BLOCKER. Cannot merge with failing tests.
E2E tests — check recent results:
bash
ls -t ~/.gstack-dev/evals/*-e2e-*-$(date +%Y-%m-%d)*.json 2>/dev/null | head -20
For each eval file from today, parse pass/fail counts. Show:
  • Total tests, pass count, fail count
  • How long ago the run finished (from file timestamp)
  • Total cost
  • Names of any failing tests
If no E2E results from today: WARNING — no E2E tests run today. If E2E results exist but have failures: WARNING — N tests failed. List them.
LLM judge evals — check recent results:
bash
ls -t ~/.gstack-dev/evals/*-llm-judge-*-$(date +%Y-%m-%d)*.json 2>/dev/null | head -5
If found, parse and show pass/fail. If not found, note "No LLM evals run today."
免费测试 — 立即运行:
阅读CLAUDE.md找到项目的测试命令。如果未指定,使用
bun test
。运行测试命令并捕获退出码和输出。
bash
bun test 2>&1 | tail -10
如果测试失败:阻塞项。测试失败时无法合并。
E2E测试 — 检查最近结果:
bash
ls -t ~/.gstack-dev/evals/*-e2e-*-$(date +%Y-%m-%d)*.json 2>/dev/null | head -20
针对今天的每个评估文件,解析通过/失败数量。显示:
  • 总测试数、通过数、失败数
  • 运行完成的时间(从文件时间戳获取)
  • 总成本
  • 失败测试的名称
如果今天没有E2E测试结果:警告 — 今天未运行E2E测试。 如果存在E2E测试结果但有失败项:警告 — N个测试失败。列出失败项。
LLM judge评估 — 检查最近结果:
bash
ls -t ~/.gstack-dev/evals/*-llm-judge-*-$(date +%Y-%m-%d)*.json 2>/dev/null | head -5
如果找到,解析并显示通过/失败情况。如果未找到,记录"今天未运行LLM评估。"

3.5c: PR body accuracy check

3.5c:PR正文准确性检查

Read the current PR body:
bash
gh pr view --json body -q .body
Read the current diff summary:
bash
git log --oneline $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main)..HEAD | head -20
Compare the PR body against the actual commits. Check for:
  1. Missing features — commits that add significant functionality not mentioned in the PR
  2. Stale descriptions — PR body mentions things that were later changed or reverted
  3. Wrong version — PR title or body references a version that doesn't match VERSION file
If the PR body looks stale or incomplete: WARNING — PR body may not reflect current changes. List what's missing or stale.
读取当前PR正文:
bash
gh pr view --json body -q .body
读取当前差异摘要:
bash
git log --oneline $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main)..HEAD | head -20
比较PR正文与实际提交。检查以下内容:
  1. 缺失功能 — 提交中添加了PR中未提及的重要功能
  2. 过时描述 — PR正文中提到的内容后来被修改或回滚
  3. 版本错误 — PR标题或正文中引用的版本与VERSION文件不符
如果PR正文看起来过时或不完整:警告 — PR正文可能未反映当前变更。列出缺失或过时的内容。

3.5d: Document-release check

3.5d:文档发布检查

Check if documentation was updated on this branch:
bash
git log --oneline --all-match --grep="docs:" $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main)..HEAD | head -5
Also check if key doc files were modified:
bash
git diff --name-only $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main)...HEAD -- README.md CHANGELOG.md ARCHITECTURE.md CONTRIBUTING.md CLAUDE.md VERSION
If CHANGELOG.md and VERSION were NOT modified on this branch and the diff includes new features (new files, new commands, new skills): WARNING — /document-release likely not run. CHANGELOG and VERSION not updated despite new features.
If only docs changed (no code): skip this check.
检查当前分支是否更新了文档:
bash
git log --oneline --all-match --grep="docs:" $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main)..HEAD | head -5
同时检查关键文档文件是否被修改:
bash
git diff --name-only $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main)...HEAD -- README.md CHANGELOG.md ARCHITECTURE.md CONTRIBUTING.md CLAUDE.md VERSION
如果差异包含新功能(新文件、新命令、新技能),但当前分支未修改CHANGELOG.md和VERSION:警告 — 可能未运行/document-release。尽管添加了新功能,但CHANGELOG和VERSION未更新
如果仅修改了文档(无代码变更):跳过此检查。

3.5e: Readiness report and confirmation

3.5e:准备就绪报告与确认

Build the full readiness report:
╔══════════════════════════════════════════════════════════╗
║              PRE-MERGE READINESS REPORT                  ║
╠══════════════════════════════════════════════════════════╣
║                                                          ║
║  PR: #NNN — title                                        ║
║  Branch: feature → main                                  ║
║                                                          ║
║  REVIEWS                                                 ║
║  ├─ Eng Review:    CURRENT / STALE (N commits) / —       ║
║  ├─ CEO Review:    CURRENT / — (optional)                ║
║  ├─ Design Review: CURRENT / — (optional)                ║
║  └─ Codex Review:  CURRENT / — (optional)                ║
║                                                          ║
║  TESTS                                                   ║
║  ├─ Free tests:    PASS / FAIL (blocker)                 ║
║  ├─ E2E tests:     52/52 pass (25 min ago) / NOT RUN     ║
║  └─ LLM evals:     PASS / NOT RUN                        ║
║                                                          ║
║  DOCUMENTATION                                           ║
║  ├─ CHANGELOG:     Updated / NOT UPDATED (warning)       ║
║  ├─ VERSION:       0.9.8.0 / NOT BUMPED (warning)        ║
║  └─ Doc release:   Run / NOT RUN (warning)               ║
║                                                          ║
║  PR BODY                                                 ║
║  └─ Accuracy:      Current / STALE (warning)             ║
║                                                          ║
║  WARNINGS: N  |  BLOCKERS: N                             ║
╚══════════════════════════════════════════════════════════╝
If there are BLOCKERS (failing free tests): list them and recommend B. If there are WARNINGS but no blockers: list each warning and recommend A if warnings are minor, or B if warnings are significant. If everything is green: recommend A.
Use AskUserQuestion:
  • Re-ground: "About to merge PR #NNN (title) from branch X to Y. Here's the readiness report." Show the report above.
  • List each warning and blocker explicitly.
  • RECOMMENDATION: Choose A if green. Choose B if there are significant warnings. Choose C only if the user understands the risks.
  • A) Merge — readiness checks passed (Completeness: 10/10)
  • B) Don't merge yet — address the warnings first (Completeness: 10/10)
  • C) Merge anyway — I understand the risks (Completeness: 3/10)
If the user chooses B: STOP. List exactly what needs to be done:
  • If reviews are stale: "Re-run /plan-eng-review (or /review) to review current code."
  • If E2E not run: "Run
    bun run test:e2e
    to verify."
  • If docs not updated: "Run /document-release to update documentation."
  • If PR body stale: "Update the PR body to reflect current changes."
If the user chooses A or C: continue to Step 4.

生成完整的准备就绪报告:
╔══════════════════════════════════════════════════════════╗
║              合并前准备就绪报告                          ║
╠══════════════════════════════════════════════════════════╣
║                                                          ║
║  PR: #NNN — 标题                                         ║
║  分支: feature → main                                   ║
║                                                          ║
║  评审情况                                                 ║
║  ├─ 工程评审:    CURRENT / STALE(N次提交) / —           ║
║  ├─ CEO评审:    CURRENT / —(可选)                      ║
║  ├─ 设计评审:    CURRENT / —(可选)                      ║
║  └─ 代码评审:    CURRENT / —(可选)                      ║
║                                                          ║
║  测试情况                                                 ║
║  ├─ 免费测试:    PASS / FAIL(阻塞项)                   ║
║  ├─ E2E测试:     52/52通过(25分钟前运行) / 未运行        ║
║  └─ LLM评估:     PASS / 未运行                          ║
║                                                          ║
║  文档情况                                                 ║
║  ├─ CHANGELOG:    已更新 / 未更新(警告)                ║
║  ├─ VERSION:       0.9.8.0 / 未升级(警告)              ║
║  └─ 文档发布:    已运行 / 未运行(警告)                ║
║                                                          ║
║  PR正文                                                   ║
║  └─ 准确性:      最新 / 过时(警告)                     ║
║                                                          ║
║  警告数: N  |  阻塞项数: N                               ║
╚══════════════════════════════════════════════════════════╝
如果存在阻塞项(免费测试失败):列出阻塞项并推荐选项B。 如果存在警告但无阻塞项:列出每个警告,如果警告轻微则推荐选项A,如果警告严重则推荐选项B。 如果一切正常:推荐选项A。
使用AskUserQuestion:
  • 重新梳理上下文: "即将合并PR #NNN(标题),从分支X合并到Y。以下是准备就绪报告。" 显示上述报告。
  • 明确列出每个警告和阻塞项。
  • RECOMMENDATION: 如果一切正常选择A。如果存在严重警告选择B。仅当用户了解风险时才选择C。
  • A) 合并 — 准备就绪检查通过(完整性:10/10)
  • B) 暂不合并 — 先处理警告(完整性:10/10)
  • C) 仍要合并 — 我了解风险(完整性:3/10)
如果用户选择B:STOP。列出需要处理的具体事项:
  • 如果评审过时:"重新运行/plan-eng-review(或/review)以评审当前代码。"
  • 如果未运行E2E测试:"运行
    bun run test:e2e
    进行验证。"
  • 如果文档未更新:"运行/document-release以更新文档。"
  • 如果PR正文过时:"更新PR正文以反映当前变更。"
如果用户选择A或C:继续执行步骤4。

Step 4: Merge the PR

步骤4:合并PR

Record the start timestamp for timing data.
Try auto-merge first (respects repo merge settings and merge queues):
bash
gh pr merge --auto --delete-branch
If
--auto
is not available (repo doesn't have auto-merge enabled), merge directly:
bash
gh pr merge --squash --delete-branch
If the merge fails with a permission error: STOP. "You don't have merge permissions on this repo. Ask a maintainer to merge."
If merge queue is active,
gh pr merge --auto
will enqueue. Poll for the PR to actually merge:
bash
gh pr view --json state -q .state
Poll every 30 seconds, up to 30 minutes. Show a progress message every 2 minutes: "Waiting for merge queue... (Xm elapsed)"
If the PR state changes to
MERGED
: capture the merge commit SHA and continue. If the PR is removed from the queue (state goes back to
OPEN
): STOP. "PR was removed from the merge queue." If timeout (30 min): STOP. "Merge queue has been processing for 30 minutes. Check the queue manually."
Record merge timestamp and duration.

记录开始时间戳,用于计时数据。
首先尝试自动合并(遵循仓库合并设置和合并队列):
bash
gh pr merge --auto --delete-branch
如果
--auto
不可用(仓库未启用自动合并),直接合并:
bash
gh pr merge --squash --delete-branch
如果合并因权限错误失败:STOP。"你没有该仓库的合并权限。请联系维护者进行合并。"
如果合并队列处于活跃状态,
gh pr merge --auto
会将PR加入队列。轮询PR是否实际合并:
bash
gh pr view --json state -q .state
每30秒轮询一次,最多等待30分钟。每2分钟显示一次进度:"等待合并队列...(已过去X分钟)"
如果PR状态变为
MERGED
:捕获合并提交SHA并继续执行。 如果PR被移出队列(状态回到
OPEN
):STOP。"PR已被移出合并队列。" 如果超时(30分钟):STOP。"合并队列已处理30分钟。请手动检查队列状态。"
记录合并时间戳和时长。

Step 5: Deploy strategy detection

步骤5:部署策略检测

Determine what kind of project this is and how to verify the deploy.
First, run the deploy configuration bootstrap to detect or read persisted deploy settings:
bash
undefined
确定项目类型以及如何验证部署结果。
首先运行部署配置引导程序以检测或读取已保存的部署设置:
bash
undefined

Check for persisted deploy config in CLAUDE.md

检查CLAUDE.md中是否有已保存的部署配置

DEPLOY_CONFIG=$(grep -A 20 "## Deploy Configuration" CLAUDE.md 2>/dev/null || echo "NO_CONFIG") echo "$DEPLOY_CONFIG"
DEPLOY_CONFIG=$(grep -A 20 "## Deploy Configuration" CLAUDE.md 2>/dev/null || echo "NO_CONFIG") echo "$DEPLOY_CONFIG"

If config exists, parse it

如果存在配置,解析它

if [ "$DEPLOY_CONFIG" != "NO_CONFIG" ]; then PROD_URL=$(echo "$DEPLOY_CONFIG" | grep -i "production.url" | head -1 | sed 's/.: //') PLATFORM=$(echo "$DEPLOY_CONFIG" | grep -i "platform" | head -1 | sed 's/.: *//') echo "PERSISTED_PLATFORM:$PLATFORM" echo "PERSISTED_URL:$PROD_URL" fi
if [ "$DEPLOY_CONFIG" != "NO_CONFIG" ]; then PROD_URL=$(echo "$DEPLOY_CONFIG" | grep -i "production.url" | head -1 | sed 's/.: //') PLATFORM=$(echo "$DEPLOY_CONFIG" | grep -i "platform" | head -1 | sed 's/.: *//') echo "PERSISTED_PLATFORM:$PLATFORM" echo "PERSISTED_URL:$PROD_URL" fi

Auto-detect platform from config files

从配置文件自动检测平台

[ -f fly.toml ] && echo "PLATFORM:fly" [ -f render.yaml ] && echo "PLATFORM:render" ([ -f vercel.json ] || [ -d .vercel ]) && echo "PLATFORM:vercel" [ -f netlify.toml ] && echo "PLATFORM:netlify" [ -f Procfile ] && echo "PLATFORM:heroku" ([ -f railway.json ] || [ -f railway.toml ]) && echo "PLATFORM:railway"
[ -f fly.toml ] && echo "PLATFORM:fly" [ -f render.yaml ] && echo "PLATFORM:render" ([ -f vercel.json ] || [ -d .vercel ]) && echo "PLATFORM:vercel" [ -f netlify.toml ] && echo "PLATFORM:netlify" [ -f Procfile ] && echo "PLATFORM:heroku" ([ -f railway.json ] || [ -f railway.toml ]) && echo "PLATFORM:railway"

Detect deploy workflows

检测部署工作流

for f in .github/workflows/.yml .github/workflows/.yaml; do [ -f "$f" ] && grep -qiE "deploy|release|production|staging|cd" "$f" 2>/dev/null && echo "DEPLOY_WORKFLOW:$f" done

If `PERSISTED_PLATFORM` and `PERSISTED_URL` were found in CLAUDE.md, use them directly
and skip manual detection. If no persisted config exists, use the auto-detected platform
to guide deploy verification. If nothing is detected, ask the user via AskUserQuestion
in the decision tree below.

If you want to persist deploy settings for future runs, suggest the user run `/setup-deploy`.

Then run `gstack-diff-scope` to classify the changes:

```bash
eval $(~/.claude/skills/gstack/bin/gstack-diff-scope $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main) 2>/dev/null)
echo "FRONTEND=$SCOPE_FRONTEND BACKEND=$SCOPE_BACKEND DOCS=$SCOPE_DOCS CONFIG=$SCOPE_CONFIG"
Decision tree (evaluate in order):
  1. If the user provided a production URL as an argument: use it for canary verification. Also check for deploy workflows.
  2. Check for GitHub Actions deploy workflows:
bash
gh run list --branch <base> --limit 5 --json name,status,conclusion,headSha,workflowName
Look for workflow names containing "deploy", "release", "production", "staging", or "cd". If found: poll the deploy workflow in Step 6, then run canary.
  1. If SCOPE_DOCS is the only scope that's true (no frontend, no backend, no config): skip verification entirely. Output: "PR merged. Documentation-only change — no deploy verification needed." Go to Step 9.
  2. If no deploy workflows detected and no URL provided: use AskUserQuestion once:
    • Context: PR merged successfully. No deploy workflow or production URL detected.
    • RECOMMENDATION: Choose B if this is a library/CLI tool. Choose A if this is a web app.
    • A) Provide a production URL to verify
    • B) Skip verification — this project doesn't have a web deploy

for f in .github/workflows/.yml .github/workflows/.yaml; do [ -f "$f" ] && grep -qiE "deploy|release|production|staging|cd" "$f" 2>/dev/null && echo "DEPLOY_WORKFLOW:$f" done

如果在CLAUDE.md中找到`PERSISTED_PLATFORM`和`PERSISTED_URL`,直接使用它们并跳过手动检测。如果没有已保存的配置,使用自动检测到的平台指导部署验证。如果未检测到任何信息,使用AskUserQuestion按照以下决策树询问用户。

如果希望为未来运行保存部署设置,建议用户运行`/setup-deploy`。

然后运行`gstack-diff-scope`对变更进行分类:

```bash
eval $(~/.claude/skills/gstack/bin/gstack-diff-scope $(gh pr view --json baseRefName -q .baseRefName 2>/dev/null || echo main) 2>/dev/null)
echo "FRONTEND=$SCOPE_FRONTEND BACKEND=$SCOPE_BACKEND DOCS=$SCOPE_DOCS CONFIG=$SCOPE_CONFIG"
决策树(按顺序评估):
  1. 如果用户提供了生产环境URL作为参数:使用该URL进行金丝雀验证。同时检查是否有部署工作流。
  2. 检查是否有GitHub Actions部署工作流:
bash
gh run list --branch <base> --limit 5 --json name,status,conclusion,headSha,workflowName
查找名称包含"deploy"、"release"、"production"、"staging"或"cd"的工作流。如果找到:在步骤6中轮询部署工作流,然后运行金丝雀验证。
  1. 如果仅
    SCOPE_DOCS
    为true(无前端、后端或配置变更):完全跳过验证。输出:"PR已合并。仅文档变更——无需部署验证。" 跳至步骤9。
  2. 如果未检测到部署工作流且未提供URL:使用AskUserQuestion询问一次:
    • 上下文: PR已成功合并。未检测到部署工作流或生产环境URL。
    • RECOMMENDATION: 如果是库/CLI工具选择B。如果是Web应用选择A。
    • A) 提供生产环境URL进行验证
    • B) 跳过验证——此项目无Web部署

Step 6: Wait for deploy (if applicable)

步骤6:等待部署完成(如适用)

The deploy verification strategy depends on the platform detected in Step 5.
部署验证策略取决于步骤5中检测到的平台。

Strategy A: GitHub Actions workflow

策略A:GitHub Actions工作流

If a deploy workflow was detected, find the run triggered by the merge commit:
bash
gh run list --branch <base> --limit 10 --json databaseId,headSha,status,conclusion,name,workflowName
Match by the merge commit SHA (captured in Step 4). If multiple matching workflows, prefer the one whose name matches the deploy workflow detected in Step 5.
Poll every 30 seconds:
bash
gh run view <run-id> --json status,conclusion
如果检测到部署工作流,找到由合并提交触发的运行实例:
bash
gh run list --branch <base> --limit 10 --json databaseId,headSha,status,conclusion,name,workflowName
通过合并提交SHA(步骤4中捕获)进行匹配。如果找到多个匹配的工作流,优先选择步骤5中检测到的部署工作流。
每30秒轮询一次:
bash
gh run view <run-id> --json status,conclusion

Strategy B: Platform CLI (Fly.io, Render, Heroku)

策略B:平台CLI(Fly.io、Render、Heroku)

If a deploy status command was configured in CLAUDE.md (e.g.,
fly status --app myapp
), use it instead of or in addition to GitHub Actions polling.
Fly.io: After merge, Fly deploys via GitHub Actions or
fly deploy
. Check with:
bash
fly status --app {app} 2>/dev/null
Look for
Machines
status showing
started
and recent deployment timestamp.
Render: Render auto-deploys on push to the connected branch. Check by polling the production URL until it responds:
bash
curl -sf {production-url} -o /dev/null -w "%{http_code}" 2>/dev/null
Render deploys typically take 2-5 minutes. Poll every 30 seconds.
Heroku: Check latest release:
bash
heroku releases --app {app} -n 1 2>/dev/null
如果CLAUDE.md中配置了部署状态命令(例如
fly status --app myapp
),使用该命令替代或补充GitHub Actions轮询。
Fly.io: 合并后,Fly通过GitHub Actions或
fly deploy
进行部署。使用以下命令检查:
bash
fly status --app {app} 2>/dev/null
查找
Machines
状态为
started
且部署时间戳较新的记录。
Render: 当推送到关联分支时,Render会自动部署。通过轮询生产环境URL直到响应来检查:
bash
curl -sf {production-url} -o /dev/null -w "%{http_code}" 2>/dev/null
Render部署通常需要2-5分钟。每30秒轮询一次。
Heroku: 检查最新发布:
bash
heroku releases --app {app} -n 1 2>/dev/null

Strategy C: Auto-deploy platforms (Vercel, Netlify)

策略C:自动部署平台(Vercel、Netlify)

Vercel and Netlify deploy automatically on merge. No explicit deploy trigger needed. Wait 60 seconds for the deploy to propagate, then proceed directly to canary verification in Step 7.
Vercel和Netlify会在合并后自动部署。无需显式触发部署。等待60秒让部署完成传播,然后直接进入步骤7的金丝雀验证。

Strategy D: Custom deploy hooks

策略D:自定义部署钩子

If CLAUDE.md has a custom deploy status command in the "Custom deploy hooks" section, run that command and check its exit code.
如果CLAUDE.md的"Custom deploy hooks"部分有自定义部署状态命令,运行该命令并检查其退出码。

Common: Timing and failure handling

通用规则:计时与失败处理

Record deploy start time. Show progress every 2 minutes: "Deploy in progress... (Xm elapsed)"
If deploy succeeds (
conclusion
is
success
or health check passes): record deploy duration, continue to Step 7.
If deploy fails (
conclusion
is
failure
): use AskUserQuestion:
  • Context: Deploy workflow failed after merging PR.
  • RECOMMENDATION: Choose A to investigate before reverting.
  • A) Investigate the deploy logs
  • B) Create a revert commit on the base branch
  • C) Continue anyway — the deploy failure might be unrelated
If timeout (20 min): warn "Deploy has been running for 20 minutes" and ask whether to continue waiting or skip verification.

记录部署开始时间。每2分钟显示一次进度:"部署进行中...(已过去X分钟)"
如果部署成功(
conclusion
success
或健康检查通过):记录部署时长,继续执行步骤7。
如果部署失败(
conclusion
failure
):使用AskUserQuestion:
  • 上下文: 合并PR后部署工作流失败。
  • RECOMMENDATION: 选择A,先调查再回滚。
  • A) 调查部署日志
  • B) 在基准分支创建回滚提交
  • C) 继续执行——部署失败可能无关
如果超时(20分钟):警告"部署已运行20分钟"并询问用户是继续等待还是跳过验证。

Step 7: Canary verification (conditional depth)

步骤7:金丝雀验证(根据范围调整深度)

Use the diff-scope classification from Step 5 to determine canary depth:
Diff ScopeCanary Depth
SCOPE_DOCS onlyAlready skipped in Step 5
SCOPE_CONFIG onlySmoke:
$B goto
+ verify 200 status
SCOPE_BACKEND onlyConsole errors + perf check
SCOPE_FRONTEND (any)Full: console + perf + screenshot
Mixed scopesFull canary
Full canary sequence:
bash
$B goto <url>
Check that the page loaded successfully (200, not an error page).
bash
$B console --errors
Check for critical console errors: lines containing
Error
,
Uncaught
,
Failed to load
,
TypeError
,
ReferenceError
. Ignore warnings.
bash
$B perf
Check that page load time is under 10 seconds.
bash
$B text
Verify the page has content (not blank, not a generic error page).
bash
$B snapshot -i -a -o ".gstack/deploy-reports/post-deploy.png"
Take an annotated screenshot as evidence.
Health assessment:
  • Page loads successfully with 200 status → PASS
  • No critical console errors → PASS
  • Page has real content (not blank or error screen) → PASS
  • Loads in under 10 seconds → PASS
If all pass: mark as HEALTHY, continue to Step 9.
If any fail: show the evidence (screenshot path, console errors, perf numbers). Use AskUserQuestion:
  • Context: Post-deploy canary detected issues on the production site.
  • RECOMMENDATION: Choose based on severity — B for critical (site down), A for minor (console errors).
  • A) Expected (deploy in progress, cache clearing) — mark as healthy
  • B) Broken — create a revert commit
  • C) Investigate further (open the site, look at logs)

使用步骤5中的差异范围分类确定金丝雀验证深度:
差异范围金丝雀验证深度
仅SCOPE_DOCS已在步骤5中跳过
仅SCOPE_CONFIG基础检查:
$B goto
+ 验证200状态
仅SCOPE_BACKEND控制台错误 + 性能检查
包含SCOPE_FRONTEND完整检查:控制台 + 性能 + 截图
混合范围完整金丝雀检查
完整金丝雀验证序列:
bash
$B goto <url>
检查页面是否成功加载(状态码200,而非错误页面)。
bash
$B console --errors
检查是否存在严重控制台错误:包含
Error
Uncaught
Failed to load
TypeError
ReferenceError
的行。忽略警告。
bash
$B perf
检查页面加载时间是否在10秒以内。
bash
$B text
验证页面是否有内容(非空白、非通用错误页面)。
bash
$B snapshot -i -a -o ".gstack/deploy-reports/post-deploy.png"
截取带注释的截图作为证据。
健康评估:
  • 页面成功加载且状态码200 → PASS
  • 无严重控制台错误 → PASS
  • 页面有实际内容(非空白或错误页面) → PASS
  • 加载时间在10秒以内 → PASS
如果全部通过:标记为HEALTHY,继续执行步骤9。
如果任何一项失败:显示证据(截图路径、控制台错误、性能数据)。使用AskUserQuestion:
  • 上下文: 部署后金丝雀检测到生产环境存在问题。
  • RECOMMENDATION: 根据严重程度选择——如果是关键问题(站点宕机)选择B,如果是次要问题(控制台错误)选择A。
  • A) 符合预期(部署进行中、缓存清除)——标记为健康
  • B) 已损坏——创建回滚提交
  • C) 进一步调查(打开站点、查看日志)

Step 8: Revert (if needed)

步骤8:回滚(如需要)

If the user chose to revert at any point:
bash
git fetch origin <base>
git checkout <base>
git revert <merge-commit-sha> --no-edit
git push origin <base>
If the revert has conflicts: warn "Revert has conflicts — manual resolution needed. The merge commit SHA is
<sha>
. You can run
git revert <sha>
manually."
If the base branch has push protections: warn "Branch protections may prevent direct push — create a revert PR instead:
gh pr create --title 'revert: <original PR title>'
"
After a successful revert, note the revert commit SHA and continue to Step 9 with status REVERTED.

如果用户在任何步骤选择回滚:
bash
git fetch origin <base>
git checkout <base>
git revert <merge-commit-sha> --no-edit
git push origin <base>
如果回滚存在冲突:警告"回滚存在冲突——需要手动解决。合并提交SHA为
<sha>
。你可以手动运行
git revert <sha>
。"
如果基准分支有推送保护:警告"分支保护可能阻止直接推送——请创建回滚PR:
gh pr create --title 'revert: <原始PR标题>'
"
成功回滚后,记录回滚提交SHA并以REVERTED状态继续执行步骤9。

Step 9: Deploy report

步骤9:部署报告

Create the deploy report directory:
bash
mkdir -p .gstack/deploy-reports
Produce and display the ASCII summary:
LAND & DEPLOY REPORT
═════════════════════
PR:           #<number> — <title>
Branch:       <head-branch> → <base-branch>
Merged:       <timestamp> (<merge method>)
Merge SHA:    <sha>

Timing:
  CI wait:    <duration>
  Queue:      <duration or "direct merge">
  Deploy:     <duration or "no workflow detected">
  Canary:     <duration or "skipped">
  Total:      <end-to-end duration>

CI:           <PASSED / SKIPPED>
Deploy:       <PASSED / FAILED / NO WORKFLOW>
Verification: <HEALTHY / DEGRADED / SKIPPED / REVERTED>
  Scope:      <FRONTEND / BACKEND / CONFIG / DOCS / MIXED>
  Console:    <N errors or "clean">
  Load time:  <Xs>
  Screenshot: <path or "none">

VERDICT: <DEPLOYED AND VERIFIED / DEPLOYED (UNVERIFIED) / REVERTED>
Save report to
.gstack/deploy-reports/{date}-pr{number}-deploy.md
.
Log to the review dashboard:
bash
eval $(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)
mkdir -p ~/.gstack/projects/$SLUG
Write a JSONL entry with timing data:
json
{"skill":"land-and-deploy","timestamp":"<ISO>","status":"<SUCCESS/REVERTED>","pr":<number>,"merge_sha":"<sha>","deploy_status":"<HEALTHY/DEGRADED/SKIPPED>","ci_wait_s":<N>,"queue_s":<N>,"deploy_s":<N>,"canary_s":<N>,"total_s":<N>}

创建部署报告目录:
bash
mkdir -p .gstack/deploy-reports
生成并显示ASCII格式的摘要:
合并与部署报告
═════════════════════
PR:           #<编号> — <标题>
分支:       <功能分支> → <基准分支>
合并时间:       <时间戳>(<合并方式>)
合并SHA:    <sha>

计时数据:
  CI等待时间:    <时长>
  队列等待时间:      <时长或"直接合并">
  部署时间:     <时长或"未检测到工作流">
  金丝雀验证时间:     <时长或"已跳过">
  总时长:      <端到端时长>

CI状态:           <通过 / 跳过>
部署状态:       <通过 / 失败 / 无工作流>
验证状态: <健康 / 降级 / 已跳过 / 已回滚>
  变更范围:      <前端 / 后端 / 配置 / 文档 / 混合>
  控制台:    <N个错误或"干净">
  加载时间:  <X秒>
  截图: <路径或"无">

结论: <已部署并验证 / 已部署(未验证) / 已回滚>
将报告保存到
.gstack/deploy-reports/{日期}-pr{编号}-deploy.md
记录到评审仪表板:
bash
eval $(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)
mkdir -p ~/.gstack/projects/$SLUG
写入包含计时数据的JSONL条目:
json
{"skill":"land-and-deploy","timestamp":"<ISO>","status":"<SUCCESS/REVERTED>","pr":<编号>,"merge_sha":"<sha>","deploy_status":"<HEALTHY/DEGRADED/SKIPPED>","ci_wait_s":<N>,"queue_s":<N>,"deploy_s":<N>,"canary_s":<N>,"total_s":<N>}

Step 10: Suggest follow-ups

步骤10:建议后续操作

After the deploy report, suggest relevant follow-ups:
  • If a production URL was verified: "Run
    /canary <url> --duration 10m
    for extended monitoring."
  • If performance data was collected: "Run
    /benchmark <url>
    for a deep performance audit."
  • "Run
    /document-release
    to update project documentation."

部署报告生成后,建议相关后续操作:
  • 如果已验证生产环境URL:"运行
    /canary <url> --duration 10m
    进行扩展监控。"
  • 如果已收集性能数据:"运行
    /benchmark <url>
    进行深度性能审计。"
  • "运行
    /document-release
    更新项目文档。"

Important Rules

重要规则

  • Never force push. Use
    gh pr merge
    which is safe.
  • Never skip CI. If checks are failing, stop.
  • Auto-detect everything. PR number, merge method, deploy strategy, project type. Only ask when information genuinely can't be inferred.
  • Poll with backoff. Don't hammer GitHub API. 30-second intervals for CI/deploy, with reasonable timeouts.
  • Revert is always an option. At every failure point, offer revert as an escape hatch.
  • Single-pass verification, not continuous monitoring.
    /land-and-deploy
    checks once.
    /canary
    does the extended monitoring loop.
  • Clean up. Delete the feature branch after merge (via
    --delete-branch
    ).
  • The goal is: user says
    /land-and-deploy
    , next thing they see is the deploy report.
  • 永远不要强制推送。使用
    gh pr merge
    ,这是安全的方式。
  • 永远不要跳过CI。如果检查失败,停止执行。
  • 自动检测所有内容。PR编号、合并方式、部署策略、项目类型。仅当信息确实无法推断时才询问用户。
  • 带退避的轮询。不要频繁调用GitHub API。CI/CD部署轮询间隔为30秒,设置合理超时时间。
  • 回滚始终是可选方案。在每个失败点,提供回滚作为逃生出口。
  • 单次验证,而非持续监控
    /land-and-deploy
    仅检查一次。
    /canary
    负责扩展监控循环。
  • 清理。合并后删除功能分支(通过
    --delete-branch
    )。
  • 目标是:用户输入
    /land-and-deploy
    ,接下来看到的就是部署报告。