jab-hook
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Chinese/jab-hook — Jab-jab-jab-right-hook for a personal portfolio
/jab-hook — 针对个人作品集的Jab-jab-jab-right-hook策略
Gary Vaynerchuk's framework applied to your configured portfolio: keep the feed mostly jabs (value — BIP + educational) so the hooks (promo) earn attention when they land. Drafts to your personal Typefully workspace.
One-time setup: see and to configure your real portfolio + workspace. Personal config lives in .
references/properties.mdreferences/typefully-config.md${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/将Gary Vaynerchuk的框架应用于你配置好的作品集:让动态内容以Jabs(价值导向内容——build-in-public + 教育类)为主,这样当Hooks(推广类内容)发布时才能获得关注。草稿将同步至你的个人Typefully工作区。
一次性设置:请参考和配置你的真实作品集和工作区。个人配置文件存放在目录下。
references/properties.mdreferences/typefully-config.md${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/Mental model
核心逻辑
- N rotation slots (configured in ): one per property you want to promote on rotation
~/.config/makerskills/jab-hook/properties.yaml - ~2 promo posts/week → each property cycles every ~3 weeks at equal weight
- Non-promo days: 50/50 build-in-public vs educational
- Target weekly rhythm: ~2 promo + ~2–3 BIP + ~2–3 educational
- Platforms: X + LinkedIn via your personal Typefully workspace
- N个轮换位(在中配置):每个你想要轮换推广的项目对应一个位置
~/.config/makerskills/jab-hook/properties.yaml - 每周约2篇推广帖 → 每个项目约每3周循环一次,权重均等
- 非推广日:build-in-public类与教育类内容各占50%
- 目标每周节奏:约2篇推广帖 + 2–3篇build-in-public帖 + 2–3篇教育类帖
- 平台支持:通过个人Typefully工作区发布至X + LinkedIn
Step 1 — Pick the mode
步骤1 — 选择模式
Detect from the trigger:
| User says | Mode |
|---|---|
| "plan my socials," "next week's posts" | plan |
| "what should I post," "next promo," "pick next" | pick-next |
| "audit my socials," "what's overdue," "what haven't I posted about" | audit |
| "draft a promo for X," "BIP post about Y," "educational about Z" | draft |
If ambiguous, confirm.
根据触发词自动识别:
| 用户指令 | 模式 |
|---|---|
| "plan my socials," "next week's posts" | plan(计划) |
| "what should I post," "next promo," "pick next" | pick-next(选择下一篇) |
| "audit my socials," "what's overdue," "what haven't I posted about" | audit(审计) |
| "draft a promo for X," "BIP post about Y," "educational about Z" | draft(生成草稿) |
若指令模糊,将向用户确认。
Step 2 — Load context
步骤2 — 加载上下文
- Read — the 6 rotation slots and angle ideas
references/properties.md - Read — the user's voice rules per platform
references/voice.md - Read — templates for promo / BIP / educational
references/content-types.md - Pull recent posts from your personal Typefully workspace:
- First run: call and ask which social set is your personal (X + LinkedIn). Save the ID to
mcp__typefully__typefully_list_social_setsfor future runs.references/typefully-config.md - Call filtered to the last 30 days
mcp__typefully__typefully_list_drafts - Classify each as promo / BIP / educational by content
- First run: call
- Compute days since last promo for each of the 6 slots
- 读取— 包含6个轮换位及内容方向思路
references/properties.md - 读取— 各平台的用户语气规则
references/voice.md - 读取— 推广类/BIP类/教育类内容模板
references/content-types.md - 从个人Typefully工作区拉取近期帖子:
- 首次运行:调用并询问哪个社交组属于你的个人账号(X + LinkedIn)。将ID保存至
mcp__typefully__typefully_list_social_sets以备后续使用。references/typefully-config.md - 调用筛选最近30天的草稿
mcp__typefully__typefully_list_drafts - 根据内容将每篇帖子分类为推广类/BIP类/教育类
- 首次运行:调用
- 计算6个轮换位各自的上次推广间隔天数
Step 3 — Mode logic
步骤3 — 模式逻辑
plan (7-day plan)
plan(7天计划)
- Slot the 1–2 most overdue properties as promo posts
- Fill remaining 5 days with alternating BIP and educational (50/50)
- Output as a table:
Day | Type | Property/Topic | Hook | Draft summary - Don't stack two promo on consecutive days
- After the user approves the plan, offer to draft each one in sequence
- 将1–2个最久未推广的项目安排为推广帖
- 剩余5天交替填充BIP类和教育类内容(各占50%)
- 以表格形式输出:
日期 | 类型 | 项目/主题 | 钩子 | 草稿摘要 - 避免连续两天发布推广帖
- 用户确认计划后,可依次生成每篇帖子的草稿
pick-next
pick-next(选择下一篇)
- Identify the most overdue property
- If most overdue < 14 days, suggest a BIP or educational instead (whichever is less recent)
- Draft 1 post; ask before syndicating
- 识别最久未推广的项目
- 若最久未推广间隔<14天,则建议发布BIP类或教育类内容(选择更久未发布的类型)
- 生成1篇帖子草稿;发布前需征得用户同意
audit
audit(审计)
- Report: days since last promo per property, ordered by most overdue
- Flag any property >21 days as overdue
- Suggest the next 1–2 moves
- 生成报告:按逾期时长排序,展示每个项目的上次推广间隔天数
- 将间隔>21天的项目标记为逾期
- 建议后续1–2个行动方向
draft
draft(生成草稿)
- Skip rotation logic — draft the requested post
- Use the right content-type template
- 跳过轮换逻辑 — 直接生成用户请求的帖子
- 使用对应类型的内容模板
Step 4 — Draft
步骤4 — 生成草稿
Follow and . Default: single post, one per platform (X version + LinkedIn version). Thread only if the second post earns its place.
references/voice.mdreferences/content-types.mdLink placement (load-bearing): never put a URL in the body. Default is no link at all — let curiosity drive the click. When a link is needed, draft it as a first comment for LinkedIn (Typefully supports auto-comment) or a reply for X. The body always stands alone.
遵循和的规则。默认生成单篇帖子,每个平台各一份(X版本 + LinkedIn版本)。仅当第二篇帖子有明确价值时才生成系列帖。
references/voice.mdreferences/content-types.md链接放置规则(关键):正文内绝不添加URL。默认不添加链接 — 让好奇心引导用户点击。确需添加链接时,LinkedIn平台将链接放在第一条评论中(Typefully支持自动评论),X平台放在回复帖中。正文必须独立成篇。
Optional: inspiration scan
可选:灵感参考
For and posts, optionally scan inspiration accounts () before drafting:
promoeducationalreferences/inspiration.md- Pick 1–2 accounts whose audience overlaps with the property
- Pull recent posts (agent-browser if it works on LinkedIn; otherwise ask the user to paste examples or fall back to their X/newsletter)
- Extract structural patterns: hook openers, post length, line-break rhythm, CTA styles
- Apply ONE pattern to the user's voice — never mimic phrasing
- Log new patterns in (create if missing) so they accumulate
references/patterns.md
Skip inspiration scan when the user says "just draft it" or when iterating on an existing post.
对于推广类和教育类帖子,生成草稿前可选择参考灵感账号():
references/inspiration.md- 选择1–2个受众与目标项目重叠的账号
- 拉取其近期帖子(若agent-browser支持LinkedIn则直接获取;否则请用户粘贴示例或 fallback至X/通讯内容)
- 提取结构模式:钩子开头、帖子长度、换行节奏、CTA风格
- 将一种模式应用到用户的语气中 — 绝不模仿措辞
- 将新模式记录到(若不存在则创建)以便积累
references/patterns.md
当用户要求“直接生成”或迭代现有帖子时,跳过灵感参考步骤。
Step 5 — Syndicate to Typefully
步骤5 — 同步至Typefully
Ask: "Push to Typefully now? (X + LinkedIn, your personal workspace)"
If yes:
- Read social set ID from
references/typefully-config.md - Call once for X, once for LinkedIn (or once with both platforms if the social set spans both)
mcp__typefully__typefully_create_draft - If the draft has a first-comment link, configure Typefully to add it automatically (LinkedIn auto-comment / X reply). If the MCP doesn't support auto-comment for one of the platforms, surface the comment text so the user can paste it after publishing.
- Default to draft state (not scheduled) — the user reviews in Typefully UI before sending
- Return the Typefully draft URLs
询问用户:"现在同步到Typefully吗?(X + LinkedIn,你的个人工作区)"
若用户同意:
- 从读取社交组ID
references/typefully-config.md - 调用分别为X和LinkedIn生成草稿(若社交组同时包含两个平台则调用一次即可)
mcp__typefully__typefully_create_draft - 若草稿包含第一条评论链接,配置Typefully自动添加(LinkedIn自动评论 / X回复)。若MCP不支持某平台的自动评论功能,则提供评论文本供用户发布后粘贴。
- 默认设置为草稿状态(非定时发布) — 用户需在Typefully界面审核后再发布
- 返回Typefully草稿链接
Composes with
可集成工具
- — clean output for pasting into Typefully / LinkedIn / X manually if the MCP path doesn't fit
paste - — pull inspiration-account posts for structural analysis (replaces inline agent-browser)
social-fetch - — the
second-brainwiki page hoppers hooks, frameworks, stories;Content Ideasdrafts pull candidates from there/jab-hook - — when a promo needs a stat or citation the draft doesn't have yet
deep-research - — generic social frameworks, useful when teaching strategy vs shipping your own posts
marketingskills:social - — for hook / headline ideation when stuck
marketingskills:copywriting
- — 若MCP路径不适用,可生成干净的输出内容手动粘贴至Typefully/LinkedIn/X
paste - — 拉取灵感账号帖子进行结构分析(替代内置agent-browser)
social-fetch - — 从
second-brain维基页面获取钩子、框架、故事素材;Content Ideas生成草稿时会从中提取候选内容/jab-hook - — 当推广帖需要草稿中未包含的数据或引用时使用
deep-research - — 通用社交框架,适合教学策略而非发布个人帖子时使用
marketingskills:social - — 陷入瓶颈时用于构思钩子/标题
marketingskills:copywriting
Notes on quality
质量注意事项
- 1 promo per week per property is the floor, not the ceiling. Rotation compounds when it's predictable — 4 properties × 1 promo/week = 4 promo weeks/month. Educational + BIP + community fill the rest.
- Never mimic phrasing from inspiration accounts. Extract structure (hook opener type, line-break rhythm, CTA style) and apply to your own voice. Voice is the moat; copying phrasing destroys it.
- Links belong in first comments, not the body for LinkedIn + X. Documented in . Body posts with inline URLs get algorithm-suppressed on both platforms.
~/.claude/memory/feedback_social_link_placement.md - Draft state, not scheduled state. Every Typefully push defaults to draft — human review in the Typefully UI before publish is non-negotiable. Automated scheduling of unreviewed drafts has repeatedly produced posts the user regrets.
- Reader-perspective framing. "You'll know X" not "we'll teach you X." "What you're guaranteed" not "what we'd guarantee."
- Voice.local.md overrides the shipped voice.md. Personal voice rules never live in the public repo — always in .
${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/voice.local.md - Cadence cap: 2 posts/day per platform, per account. More than that degrades reach + reads as spam.
- 每个项目每周至少1篇推广帖是底线,而非上限。 可预测的轮换策略会产生复利效应 — 4个项目×每周1篇推广帖 = 每月4篇推广周。剩余内容由教育类、BIP类和社区互动内容填充。
- 绝不模仿灵感账号的措辞。 提取结构(钩子开头类型、换行节奏、CTA风格)并应用到自己的语气中。个人语气是核心竞争力;抄袭措辞会毁掉它。
- 链接应放在第一条评论中,而非正文(适用于LinkedIn + X)。该规则记录在中。正文包含内嵌URL的帖子会被两个平台的算法限流。
~/.claude/memory/feedback_social_link_placement.md - 默认草稿状态,而非定时发布状态。 所有同步至Typefully的内容默认设为草稿 — 发布前必须由人工在Typefully界面审核。自动定时发布未审核的草稿曾多次导致用户发布后悔的内容。
- 以读者视角构建内容。 用“你将了解X”而非“我们将教你X”;用“你能获得的保障”而非“我们提供的保障”。
- Voice.local.md优先级高于默认voice.md。 个人语气规则绝不存放在公开仓库中 — 始终存放在。
${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/jab-hook/voice.local.md - 频率上限:每个平台每个账号每天最多2篇帖子。 超过此频率会降低触达率,且会被视为垃圾内容。
Memory references
记忆参考
- (if present) — conviction-coded CTAs + reader-perspective framing
~/.claude/memory/feedback_promo_voice.md - (if present) — cadence cap (e.g., 2 posts/day per platform)
~/.claude/memory/feedback_social_cadence.md
- (若存在) — 强化CTA的说服力 + 读者视角构建内容
~/.claude/memory/feedback_promo_voice.md - (若存在) — 发布频率上限(例如:每个平台每天2篇帖子)
~/.claude/memory/feedback_social_cadence.md