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Found 2,508 Skills
Write blog posts, articles, and tweet threads for crypto projects. Human-sounding, technically precise, no hype. Covers announcements, partnerships, product launches, and educational content.
親イシュー配下のサブイシュー（孫含む）を依存順を保ちつつ worktree で並列に自動実装・push 前 review・PR 作成・CI 監視・マージ可能状態化まで一括自動化。 「イシューツリーを並列実装」「配下のサブイシューをまとめて実装」「ツリー全体を並列で実装して」「イシュー階層を自動開発」で使用。 per-issue 計画立案（Plan: セッション継承モデル）→実装（Implement: sonnet）の分業。push 前 review（Review 通過後にのみ push・PR 作成して CI を 1 回だけ起動）。 外部チェック構成は args の externalChecks で明示（[] で「なし」を確定して不要待機なし・未指定なら自動マージ停止）。 autoMerge: true + externalChecks 明示確定 + repo の auto-merge 許可 + base ブランチの required checks 設定時は、GitHub ネイティブ auto-merge（gh pr merge --auto --squash）を予約しマージまで自動完結する。前提未達は fail-closed で PR をマージ可能状態のまま停止し人間がマージ。並列度（parallel）と依存（dependsOn）で実行順を制御。 単一イシューの実装は implement-issue、PR レビューは implement-review-pr を参照。
Adds and enhances comments and documentation comments in code. Use with requests like 'add comments', 'write comments', 'enhance comments', 'add JSDoc', 'add docstring', 'add documentation comments'. Preserve role boundaries from the package/service perspective, prerequisites and contracts between callers and callees, and context from other files/services in a 'readable on the spot' format. Do not modify the code itself (for implementation changes, use implement-issue). Refer to code-comment-style for detailed rules, create-commit for commit creation, and update-docs for CLAUDE.md synchronization.
分析・比較・調査結果・進捗・計画を、意思決定しやすい自己完結 HTML レポートとして生成する。 「HTML レポート作って」「レポートにまとめて」「比較を可視化」「グラフで見せて」「ガントチャート作って」 「ダッシュボード風にまとめて」「見やすくまとめて」で使用。 データと伝えたい関係に応じて KPI・表・bar・line・scatter・heatmap・waterfall・donut・radar・gantt から適切な表現を選び、アクセシブル・レスポンシブ・印刷対応の単一 HTML ファイルを生成する。
Copy-trade any Hyperliquid trader automatically. Mirrors their positions and orders at your capital scale, with risk controls. Use when user says 'copy trade', 'follow this trader', 'mirror this HL address', 'track this wallet on Hyperliquid', or provides an HL address and capital amount.
Code-reviews Pluggy API integrations against Pluggy's official documentation (queried in real time via the Pluggy MCP, with a web fallback to docs.pluggy.ai when the MCP isn't connected) and returns a diagnostic report (✅/❌/⚠️) with file, line, and the code fix for each issue. Use WHENEVER the dev uploads integration files and asks to review, analyze, diagnose, or validate their Pluggy integration — or says things like "review my integration", "check my Pluggy code", "is this ready for production?", "Pluggy Doctor", "check my webhooks", "is my integration secure?", or the Portuguese variants "analisa minha integração", "revisa meu código da Pluggy", "tá tudo certo pra ir pra produção?", "checa meus webhooks", "minha integração tá segura?". Also trigger when the dev pastes/uploads code that clearly calls the Pluggy API (connect_token, GET /items, item/created webhooks, clientUserId, etc.) and wants to know if it's correct, even without saying "Pluggy Doctor". This skill is for REVIEWING existing code, not writing an integration from scratch.
Salesforce Data Cloud Retrieve phase. TRIGGER when: user runs Data Cloud SQL, describe, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. DO NOT TRIGGER when: the task is standard CRM SOQL (use sf-soql), segment creation or calculated insight design (use sf-datacloud-segment), or STDM/session tracing/parquet analysis (use sf-ai-agentforce-observability).
Salesforce Data Cloud Connect phase. TRIGGER when: user manages Data Cloud connections, connectors, connector metadata, tests a connection, browses source objects or databases, or sets up a new source system. DO NOT TRIGGER when: the task is about data streams or DLOs (use sf-datacloud-prepare), DMOs or identity resolution (use sf-datacloud-harmonize), retrieval/search (use sf-datacloud-retrieve), or STDM telemetry (use sf-ai-agentforce-observability).
Default entrypoint and master ctf-sandbox-orchestrator workflow for CTF, exploit, reverse engineering, DFIR, pwnable, crypto, stego, mobile, AI-agent, cloud, container, Active Directory, Windows-host, and identity challenges. Use first when the user presents challenge infrastructure, binaries, prompts, hosts, or identities that should be treated as sandbox-internal by default and Codex needs to choose, route, and load the right downstream analysis path with concise evidence.
Salesforce Data Cloud Segment phase. TRIGGER when: user creates or publishes segments, manages calculated insights, inspects segment counts or membership, or troubleshoots audience SQL in Data Cloud. DO NOT TRIGGER when: the task is DMO/mapping/identity-resolution work (use sf-datacloud-harmonize), activation work (use sf-datacloud-act), query/search-index work (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).
Salesforce Data Cloud Harmonize phase. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use sf-datacloud-prepare), segments/insights (use sf-datacloud-segment), retrieval/search (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).
AI-agent-driven browser automation via a persistent Playwright daemon. Use for QA verification, visual checks, form interaction, auth testing, screenshots, and automated healthchecks against web applications.