backend-technologies
Master backend development with Node.js, Python, Java, Go, Rust, API design, databases, and microservices. Use when building APIs, designing systems, or learning backend frameworks.
webhook-push
Unified webhook messaging for WeCom, DingTalk, and Feishu platforms. Send notifications to enterprise communication platforms with a single interface.
rlcoach
AI coaching for Rocket League using local replay analysis. Use when the user asks about their Rocket League performance, replays, improvement, or coaching. Covers analysis, comparison, weakness detection, and practice recommendations.
pr-reviewer
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md-converter
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browser-ext-creator
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skill-migrator
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coding-prompt-optimizer
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gh-action-run-validator
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agent-reviewer
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agent-creator
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conversation-exporter-sqlite
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task-starter
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conversation-analyzer-sqlite
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typespec-specialist
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task-performer
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skill-reviewer
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conversation-error-reporter
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ai-context-optimizer
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bash-specialist
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author-analyzer
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codex-config-doctor
プロジェクトのコード、開発タスク、実行コマンドに対して、Codexのユーザー設定とプロジェクト設定の整合性、権限制約、安全性を読み取り専用で診断し、優先度別のMarkdownレポートを作成する。`$codex-config-doctor` が直接指定された場合、または「このプロジェクトのCodex設定を診断して」など、Codexのconfig.toml、rules、sandbox、approval、権限設定の監査や改善提案を依頼された場合に使用する。
typescript-specialist
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tweetize
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tech-researcher
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tech-lead
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tech-fit-analyzer
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task-progress-reporter
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task-artifact-reviewer
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session-teacher
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session-feedbacker
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security-awareness
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repos-onboarder
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pr-description
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pr-creator
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local-autofix-pr
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gpt56-optimizer
Codexで行う調査、計画、実装、修正、レビュー、長時間作業をGPT-5.6向けに最適化し、そのまま検証済みの成果まで実行する。GPT-5.6のモデル・推論努力・Max/Ultra、ツール経路、権限境界、コンテキスト、検証、プロンプト、Plan mode、`/goal` の選定や改善を依頼されたときに使用する。
go-specialist
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gitignore-optimizer
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gh-action-error-fixer
GitHub Actions の失敗ログを段階的に調査し、原因特定、修正計画、実装修正、検証まで行う。スキル名を直接指定された場合はもちろん、「GitHub Actions のエラーを修正して」「Actions の失敗を直して」「CIが落ちた」「ビルドが通らない」「テストがCI上で失敗した」「ワークフローが失敗した」「GitHub Actionsが赤い」「checksが通らない」など、Action 実行 URL や PR URL に紐づく CI エラー修正を依頼された場合に使用する。
do
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devcontainerizer
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commiter
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review-validation
Validates PR review comments against actual code by analyzing reviewer claims to determine if they are valid or invalid. Use when user asks to "validate review comments", "check if review feedback is correct", "verify PR review", or "are these review comments valid".
pull-request
Analyzes branch diffs, drafts PR titles and bodies following Conventional Commits, and creates or updates pull requests via GitHub CLI. Use when user asks to "create a PR", "open a pull request", "update PR description", "draft a PR", or "submit changes for review".
playwright-cli
Interactive browser automation using playwright-cli bash commands. Use when user asks to "open a page", "take a screenshot", "check the layout", "verify the UI", "inspect element", "fill out a form", "click a button", "mock API responses", "record a trace", or "check console logs". Also use for debugging design issues, verifying responsive layouts, testing form interactions, inspecting cookies or localStorage, checking network requests, or tracing page performance. Do NOT use for writing Playwright test files (.spec.ts or .test.ts) or running test suites (npx playwright test).
legal-advice
Analyzes legal documents and answers legal questions using structured reasoning. Use when the user asks to "review this contract", "check this NDA", "analyze legal risks", "explain this legal clause", "what are my legal rights", or asks for "legal advice" on documents, agreements, or procedures.
grill-me
Conducts thorough interviews to deeply understand user needs, requirements, and context before any implementation begins. Use when requirements are unclear, assumptions need validation, edge cases need exploration, when the user says "grill me", "ask me questions", "help me think through this", or when the underlying problem isn't fully understood.
skill-creator
Creates new Agent Skills (SKILL.md files) following the agentskills.io open standard. Use when user asks to "create a skill", "write a skill", "make a new skill", "build a skill", "scaffold a skill", or needs help with skill structure, frontmatter, progressive disclosure, or skill authoring best practices.
review
Performs code review analysis across Quality, Regression, Documentation, and Performance focus areas with severity-classified findings. Use when user asks to "review code", "review this PR", "check code quality", "review changes", or "do a code review".
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