Results for “ai-agent”

新しいスキルの雛形（ディレクトリ + SKILL.md）を本リポジトリの規約どおりに生成する。 frontmatter（name / description / 任意の argument-hint・disable-model-invocation・metadata.version）と 本文（# /SKILL_NAME スキル → Goal / Workflow / Notes）を対話的に埋め、 `.claude/rules/skill-authoring.md` の判断軸で置き場所（ai-agents/skills / ai-agents/personal/skills / .claude/skills）を選んで配置する。 新しいスキルを新規作成・立ち上げたいときに `/skill-scaffold <スキル名> [用途の一言]` で呼び出す。

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新しいフックの雛形（スクリプト + 配線）を本リポジトリの規約どおりに生成する。 イベント選定（PreToolUse / PostToolUse / Stop / SessionStart 等）とブロッキング可否を対話的に決め、 ai-agents/hooks/ か ai-agents/settings/<cli>/hooks/ への配置と、hooks.json / settings.json への配線まで行う。 新しいフックを追加したいときに `/hook-scaffold <フック名> [用途の一言]` で呼び出す。

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ai-agent-campのレッスンをCodexで開始・進行するスキル。 「レッスン開始」「次のレッスン」「start-0-1を始めたい」「Codexでレッスン」「スラッシュコマンドのレッスン」等のリクエストで発動。

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ai-agent-campのユーティリティ・セットアップコマンドをCodexで実行するスキル。 「/guideを実行」「/setup-api-key」「ユーティリティコマンド」「Cursorのユーティリティを使いたい」等のリクエストで発動。

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ai-agent-campの教材をupstreamから安全に同期するスキル。 「教材を最新にしたい」「upstreamから更新」「コースを同期」「git pullしたい」「教材アップデート」等のリクエストで発動。

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ai-agent-campリポジトリの案内・オリエンテーションスキル。 「リポジトリ案内」「次のレッスンは？」「どこから始める」「ツールの違い」「aiagent概要」等のリクエストで発動。

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ai-agent-campのスラッシュコマンドをCodexでルーティングするスキル。 「/start-0-1を実行」「スラッシュコマンドを使いたい」「コマンドルーティング」「Cursorのコマンドを使いたい」等のリクエストで発動。

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ai-agent-campのローカル環境セットアップを確認するスキル。 「セットアップ確認」「環境チェック」「初期設定できてる？」「インストール確認」「依存関係チェック」等のリクエストで発動。

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ai-agent-camp用のCodexツーリングを設定するスキル。 「MCPサーバーを設定」「フックをインストール」「Codexの設定」「ツールセットアップ」「Codex CLIのインストール」等のリクエストで発動。

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ai-agent-campの環境変数・認証情報を安全に管理するスキル。 「APIキーを設定」「.envを管理」「環境変数の設定」「credential managerを使いたい」「秘密情報の管理」等のリクエストで発動。

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Azure.AI.Agents.Persistent (.NET) workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Azure AI Agents Persistent SDK for Java workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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AI Agent Development Workflow workflow skill. Use this skill when the user needs AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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AI Agents Architect workflow skill. Use this skill when the user needs Expert in designing and building autonomous AI agents. Masters tool and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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AI Agents Architect workflow skill. Use this skill when the user needs Expert in designing and building autonomous AI agents. Masters tool and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Investigate AI-agent and cloud infrastructure challenges in a CTF sandbox. Trace untrusted content into tool actions, compare deployment configuration with runtime behavior, and follow software artifacts from source through build and release to their actual consumers.

• Tracing untrusted content into agent tool actions
• Comparing deployment configuration with live behavior
• Following dependencies and artifacts through CI/CD

Validate changesets in openai-agents-js using LLM judgment against git diffs (including uncommitted local changes). Use when packages/ or .changeset/ are modified, or when verifying PR changeset compliance and bump level.

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Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.

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Use when installing skills from a shared ai-agent-skills library repo. Inspect with `--list` first, prefer `--collection`, and preview with `--dry-run` before installing.

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Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when "build agent, AI agent, autonomous agent, tool use, function calling, multi-agent, agent memory, agent planning, langchain agent, crewai, autogen, claude agent sdk, ai-agents, langchain, autogen, crewai, tool-use, function-calling, autonomous, llm, orchestration" mentioned.

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Azure AI Agents Persistent SDK for Java workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Azure.AI.Agents.Persistent (.NET) workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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AI Agent Development Workflow workflow skill. Use this skill when the user needs AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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AI Agents Architect workflow skill. Use this skill when the user needs Expert in designing and building autonomous AI agents. Masters tool and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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