391 skills · sorted by relevance
Escalate a support ticket to a [Linear](https://composio.dev/toolkits/linear) issue and notify the team on [Slack](https://composio.dev/toolkits/slack).
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Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
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吉里吉里Z (kirikiri Z) 本体クラス API のリファレンス。TJS2 で吉里吉里Z 上のスクリプトを書く、レビューする、デバッグするときに使う。Layer / Window / Bitmap / System / Storages / Font / Plugins / Timer / Debug / AsyncTrigger / Scripts / BinaryStream / Matrix32 / Matrix44 / Rect / ImageFunction のコア API、サウンド系 (WaveSoundBuffer / SoundBuffer / VideoOverlay)、DrawDevice (BasicDrawDevice / SDLDrawDevice / OGLDrawDevice / GPUDrawDevice / NullDrawDevice)、OpenGL 描画系 (Canvas / Texture / ShaderProgram / Offscreen / VertexBinder / VertexBuffer)、および主要プラグイン提供クラス (HttpRequest / GdiPlus.* / WIN32Dialog / CSVParser / LineParser / Process / Pad / MenuItem / Unzip / Zip / PSD / SimpleHTTPServer) を網羅。**呼び出されたら必ず「共通パターン」と「クロスカッティング概念」を確認し、必要な詳細クラスは doc/reference/*.md を Read しに行くこと。** TJS2 言語そのものや組み込みクラス (Array / Dictionary / Math 等) は別 skill (`tjs2`) を参照。エンジン内部構造 (C++ 実装、レンダリングパイプライン詳細) は対象外。
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Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
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非対話セッション（claude-code の remote-control / CI など TTY が無く SSH 鍵パスフレーズを入力できない状況）で git fetch / pull を通すスキル。remote が SSH URL で `ssh -o BatchMode=yes` による非対話 SSH 認証が実際に通る（agent の鍵・パスフレーズ無しのディスク鍵・macOS キーチェーン鍵のいずれでも可）なら素の SSH fetch を実行し、非対話 SSH 認証が通らず `git fetch`/`git pull` が `Permission denied (publickey)` で失敗する場合は、取り込みを HTTPS + gh トークン（credential.helper='!gh auth git-credential'）経由へ自動フォールバックして標準入力なしで実行する。「fetch して」「pull して」「リモートの変更を取り込んで」「最新を取ってきて」と頼まれたが SSH 認証が使えない、fetch/pull が publickey で弾かれた、remote-control からリモートの更新を取り込みたい、といった場面で使う。gh-push の取り込み（incoming）版。`/gh-fetch` で明示起動も可。GitHub(gh) 前提。
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GitHub Actions の CI 失敗を調査するスキル。失敗した run / PR / job の URL（例: https://github.com/OWNER/REPO/actions/runs/RUNID、…/pull/PR、…/job/JOBID）や run_id・PR 番号を貼られて「このCIが失敗している、原因を調査して」「ビルド/テストがコケた、なぜ落ちたか調べて」「workflow が failed、修正案を出して」「job のログを見て」と頼まれたら必ず使う。WebFetch では github.com のログは取れない（PreToolUse hook が差し戻し、HTML しか返らない）ため、gh（`gh run view --log-failed` / `gh run view --job` / `gh pr checks` / `gh api`）で失敗ジョブ・ステップと失敗ステップのログだけを決定論スクリプトで収集し、失敗原因を特定して修正案を提示する。GitHub Actions 以外（GitLab CI 等）や、URL がログではなくソース閲覧目的のときは対象外。GitHub(gh) 前提。`/gh-ci-investigate` で明示起動も可。
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非対話セッション（claude-code の remote-control / CI など TTY が無く SSH 鍵パスフレーズを入力できない状況）で git push を通すスキル。remote が SSH URL で `ssh -o BatchMode=yes` による非対話 SSH 認証が実際に通る（agent の鍵・パスフレーズ無しのディスク鍵・macOS キーチェーン鍵のいずれでも可）なら素の SSH push を実行し、非対話 SSH 認証が通らず `git push` が `Permission denied (publickey)` で失敗する場合は、push を HTTPS + gh トークン（credential.helper='!gh auth git-credential'）経由へ自動フォールバックして標準入力なしで実行する。「push して」「リモートに反映して」と頼まれたが SSH 認証が使えない、push が publickey で弾かれた、remote-control から push したい、といった場面で使う。`/gh-push` で明示起動も可。GitHub(gh) 前提。
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Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
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DNS over HTTPS (DoH) のクエリ構築やデバッグについて相談されたときに使用する。
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Sentry の Issue 一覧 URL（例 `https://<org>.sentry.io/issues/?project=<id>&environment=<env>`）を受け取り、未解決（unresolved）の Issue を列挙して1件ずつサブエージェントで並列調査する。コード上で既に解消済みと確認できたものは Sentry 側を resolved にし、未解消のものは `create-issue` スキルで GitHub Issue を作成する。「Sentryのissueをトリアージして」「Sentryの未解決エラーをチケット化して」といった依頼で使用する。
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Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
The English summary is being prepared. Showing the original description.
Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
The English summary is being prepared. Showing the original description.
Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
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Passthrough proxy for direct access to third-party APIs using managed OAuth connections, provided by [Maton](https://maton.ai). The API gateway lets y Connect to 100+ APIs (Google Workspace, Microsoft 365, GitHub, Notion, Slack, Airtable, HubSpot, etc.) with managed OAuth. Use this skill when users want to interact with external services. Security: The MATON_API_KEY authenticates with Maton.ai but grants NO access to third-party services by itself. Each service requires explicit OAuth authorization by the user through Maton's connect flow. Access is strictly scoped to connections the user has authorized. Provided by Maton (https://maton.ai).
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INVOKE THIS SKILL when adding Arize AX tracing to an application. Follow the Agent-Assisted Tracing two-phase flow: analyze the codebase (read-only), then implement instrumentation after user confirmation. When the app uses LLM tool/function calling, add manual CHAIN + TOOL spans so traces show each tool's input and output. Leverages https://arize.com/docs/ax/alyx/tracing-assistant and https://arize.com/docs/PROMPT.md.
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Diagnose why an OpenClaw browser interface or native app cannot connect. Check the network route, authentication, device pairing, and reconnect behavior against one specific Gateway, the connection server, then verify a fresh connection.
Implement and review security measures in Quarkus applications. Covers sign-in, access permissions, input validation, password hashing, secret storage, request limits, audit logs, and checks for known vulnerabilities in dependencies, with implementation and configuration examples.
Review and refactor React and Next.js code to address slow loading and interactions. Prioritized guidance covers sequential data requests, downloaded JavaScript size, server processing, repeated rendering, and browser work, with examples for choosing relevant improvements.
Review Laravel authentication, permissions, database operations, forms, APIs, and production settings for security weaknesses. Use implementation examples to address unsafe input handling, exposed secrets, session risks, and insufficient access controls.
Review Django authentication, permissions, input handling, and production settings. Use concrete configuration and code examples to address malicious queries, unwanted requests, injected scripts, unsafe uploads, and API access, alongside secret management and security logging.
Give an AI agent its own email inbox using the AgentMail CLI. Send and receive messages, handle replies and attachments, complete email verification codes, and trigger ongoing workflows when new mail arrives.
Build and test two-way integrations between Paperclip and external bots such as Dot. Cover invitations, identity, permissions, task delivery, recovery, and Cloud deployment, with evidence from real provider accounts and deployed environments.
Build web pages and interface components with a clear visual direction and working code. Shape typography, colors, layouts, and animation around the intended audience and purpose, with support for HTML/CSS/JS, React, and Vue implementations.
Investigate a username, file, code identifier, URL, or concept by exploring connected entities across relevant sources. Produce a dossier with a summary, relationship diagram, source references, and a machine-readable JSON graph.