'ai-agents' 검색 결과

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。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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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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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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

AI agent architecture, graph and loop composition, protocol choice, evaluation, and observability. Use when scoping or reviewing systems before implementation.

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ai-agents/ と dotfiles/ の編集内容を各 AI CLI（~/.claude, ~/.codex）と ~/.config へ反映するデプロイ手順。「設定を反映」「デプロイ」「~/.claude に配って」「スキル/エージェント/設定を更新したから配布」等を求められたときに使用する。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

permission-ledger hook が記録した permission prompt と各リポの .claude/settings.local.json から allow 昇格候補を集計し、ユーザーが選んだものだけを ai-agents/settings/claude/settings.json に反映する。 「許可ルールを見直したい」「permission prompt を減らしたい」「承認した操作を allow に入れたい」 「permission review」などと言われたときに `/permission-review` で使う。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find animation, short-video, and motion-effect references on 1human, including items saved in a shared human-agent library. Review sources and licenses to guide creative work, and publish creations only within the owner's explicit permission.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find references for a loading animation
• Use shared favorites to guide motion design
• Check source tutorials and creation recipes

Create and manage persistent Azure AI agents from Java. Covers conversation threads that retain messages, agent execution, status checks, response retrieval, and cleanup, using preview SDK examples with guidance on authentication and cloud resource handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a Java app with reusable AI agents
• Managing conversation threads and messages
• Checking execution states and handling timeouts

Helps build AI agents in .NET with persistent conversation threads. Covers messages, execution status, streaming responses, document search, and custom function calls using Azure.AI.Agents.Persistent, with examples for creating agents and cleaning up resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI assistant that retains conversation threads
• Answer questions using uploaded documents
• Connect an agent to custom functions

Design AI agents that use tools, plan tasks, retain relevant context, and recover from failures. Choose execution patterns, permission boundaries, memory handling, and runtime limits, and assess whether coordinating multiple agents is justified for the task.

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• Choosing an execution loop for a tool-using agent
• Designing memory and recovery for long-running tasks
• Setting tool permissions, runtime limits, and cost caps

Analyze a codebase to create project-specific AGENTS.md instructions and supporting rule files. Detect the package manager and relevant conventions, preview proposed changes, or update existing guidance when the project’s tools change.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create agent instructions tailored to an existing project
• Generate a minimal AGENTS.md file
• Refresh instructions after changing development tools

Guides Python agent development with PydanticAI, covering tool calls and structured outputs checked against defined data types. Explains service injection, provider switching, streaming responses, and tests that run without calling a real language model.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building agents that return validated structured data
• Connecting customer support agents to order data
• Testing agent logic without real model calls

Design AI agents that plan tasks, call tools, and retain useful information. Covers coordination between agents, evaluation, and debugging, with practical patterns for execution limits, error handling, and tracing what an agent does.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing an agent that plans and executes tasks
• Organizing tool definitions and selection
• Deciding what an agent should remember

Run final checks on reviewed SDK changes, covering code formatting, linting for code issues, type checking, and tests. Confirm completion only after every required check succeeds, with wrappers for macOS, Linux, and Windows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify runtime code changes after review
• Run final checks after test or build configuration changes
• Rerun required checks after fixing a failure

Find and retrieve official OpenAI documentation to answer API integration questions with source evidence. Check endpoint definitions, parameters, and documented limits, and receive setup guidance when the documentation connection is unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify specifications before integrating an OpenAI API
• Check endpoint parameters and schemas
• Support technical explanations with official documentation

Fix a small formatting bug in a credit note shell script while keeping the output label as credit and the amount positive. Run the specified targeted test and summarize the bug, fix, and verification command.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fix a credit note output formatting bug
• Check the credit label and positive amount
• Run the specified test and report the fix