Loading...
Loading...
Found 1,621 Skills
Prepare code for a pull request by orchestrating sync, format, lint, test, review, and doc updates. Use when user says 'create a PR', 'prepare pull request', 'get ready for PR', 'validate my changes', 'prepare for review', 'pre-merge checks', or 'is this ready to merge'. Do NOT use for only running tests, only reviewing (use review-diff), only syncing with main (use merge-main), or actually opening the PR on GitHub — this skill stops at "ready."
Run multiple AI coding agent sessions in parallel using git worktrees — each agent isolated in its own worktree, working on a separate branch. Use this skill whenever the user wants to: run two or more AI agents simultaneously on different features or bugs, set up isolated agent workspaces in the same repo, push parallel branches to GitHub and open/update PRs, coordinate between concurrent agent sessions, or clean up after merging. Triggers on: "parallel agents", "multiple agent sessions", "git worktree", "run agents in parallel", "work on two things at once", "isolated agent workspace", "spin up another agent", or any request involving simultaneous AI-assisted development streams.
Control a remote SSH server project from a local git repo with persistent project memory. Use when the user develops locally but runs remotely, wants the agent to understand remote repo mappings across sessions, needs safe local/remote git sync via GitHub, wants to inspect remote state, submit jobs, start interactive sessions, monitor logs, or recover project context at the start of a new coding session.
Research questions external to the codebase across library docs (Context7), the web (Tavily), local code through semantic source search, GitHub examples (gh), and the repo wiki (hallouminate), then synthesize with explicit confidence. Use whenever the user asks to research, look up, compare, or investigate something — phrases like "research X", "look up the API for Y", "compare libraries", "what does the doc say about Z", "find examples of how to do W", "is this library maintained", or "before I implement, what's the right approach". Use even when the user only mentions a library name without saying "research". Do NOT use for a single obvious file lookup or when the user already has enough evidence.
When you want to manage projects across your businesses using a kanban + Eisenhower methodology. One kanban per business (whatever portfolio of businesses, projects, or initiatives you run). Tool-agnostic — connects via API/MCP to whatever PM tool each business uses (Notion, GitHub Projects, Plane, Linear, Obsidian file-based, or manual mode). Async-first output. Six modes — setup (scaffold a new board for a business), triage (Eisenhower-sort the backlog), next (pick the next thing to work on, single board or across all), status (paste-ready async snapshot), unblock (diagnose Review/Blocked column), weekly (Friday pulse + week planning). Triggers on "/pm," "/pm setup," "/pm triage," "/pm next," "/pm status," "/pm unblock," "/pm weekly," "what should I work on next," "kanban status," "Eisenhower this," "triage my backlog," "what's blocked."
Turn finished local work into a commit, an ordinary pull request, or a stacked pull-request chain. Use when asked to commit, save changes, open or update a PR, publish a branch, create/sync/restack/submit a PR stack, or run /plate. Owns all staging, committing, pushing, PR creation, and stack-aware mutation. GitHub inspection, review, comments, CI, issues, releases, and repository administration remain /gh.
Run /code-review, /simplify, /brooks-review, /review, /ask-exemplar, and /zero-tech-debt on a change via parallel subagents, address the meaningful findings, fold the fixes into clean commits, and force-push with lease. Use when the user wants to review-and-fix a change before merge: uncommitted work, the current feature branch, or a GitHub PR / GitLab MR. Triggers include "review-fix", "review and fix this PR/MR", "polish this branch", or "run the reviews, address the suggestions, then force-push".
Report local Claude, Codex, Cursor, GitHub Copilot, Grok, and Kimi quota windows via the quota-axi CLI - remaining effective usable runway, percentages, reset times, cycle-average pace vs the reset clock, and provider status read from local auth sources, with no routing, provider mutation, or default ordering preference. Use before deciding whether it is safe to keep spending a provider's quota, when the user asks about usage, rate limits, pace, or remaining quota, or when comparing local provider headroom.
Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes.
Japanese-language skill that supports discovery, comparison, installation, and add-mcp connection of public MCP (Model Context Protocol) servers. Actively use this skill when receiving requests such as 'Is there an MCP server for XX?', 'Find MCP tools', or 'I want to install via add-mcp' for tasks like DB integration, external API access, file operations, GitHub collaboration, etc., and handle everything from candidate discovery to operation testing. If the 'find-mcp-server' skill exists separately, only load 'find-mcp-server-ja' and never load both 'find-mcp-server' and 'find-mcp-server-ja'.
OpenAI Codex (CLI / IDE / cloud) の公式リファレンス。 codex CLI, codex exec, AGENTS.md, rules, subagents, prompting, approvals, sandbox, permission profiles, auto-review, config.toml, profiles, MCP 設定, 環境変数, GitHub Action, Codex SDK, Agents SDK 連携, cloud 委譲, administration, roles, provisioning, analytics API, compliance API, Codex Security 脆弱性スキャン, deep scan, triage, findings, SARIF export, threat model, security hardening, cloud / local / worktree 環境, git worktrees, Record & Replay, GitHub / Linear / Slack 連携。
Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Warm Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to docx", "md2docx", "any2docx", "md转word", "md转docx", "生成word", or asks for an "editable document" from markdown source.