Use for large features spanning multiple contexts, new domain modules, or when the user wants autonomous end-to-end implementation. Runs the full plan-implement-review-compound cycle with specialist agents and Iron Laws enforcement.
원문 언어: 영어
메뉴
이 저장소의 skills
SkillsMP는 majiayu000/claude-skill-registry에서 5,417개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
majiayu000/claude-skill-registry수집된 skill 5,417개 중 40개를 표시합니다.
Use for large features spanning multiple contexts, new domain modules, or when the user wants autonomous end-to-end implementation. Runs the full plan-implement-review-compound cycle with specialist agents and Iron Laws enforcement.
원문 언어: 영어
Design gateway scripts as entry points for agentic coding. Use when creating CLI entry points for agents, designing subprocess-based agent invocation, or building script interfaces for agentic workflows.
원문 언어: 영어
Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols
원문 언어: 영어
GLM-5 Agent Teams skill for spawning teammates with thinking mode
원문 언어: 영어
This skill should be used when the user asks to "/gobby-agents", "spawn agent", "start agent", "list agents". Manage subagent spawning - start, cancel, list, and check results of autonomous agents.
원문 언어: 영어
Defines God Committee member behavior and responsibilities with oversight authority. Use when operating as a committee member. Triggers on: god committee, committee observation, council discussion.
원문 언어: 영어
Interrupt controller converting polled to proactive agent execution. Per-runtime strategies, configurable thresholds, Deacon heartbeat supervision. Fights LLM passivity bias.
원문 언어: 영어
Interrupt controller converting polled to proactive agent execution. Per-runtime strategies, configurable thresholds, Deacon heartbeat supervision. Fights LLM passivity bias.
원문 언어: 영어
Guide for using Claude Code programmatically via CLI flags and SDKs. Use for automation, CI/CD pipelines, scripting, and building tools on top of Claude Code. Covers --print mode, output formats, session management, and SDK integration.
원문 언어: 영어
Run Claude Code in headless/programmatic mode for automation, CI/CD, and agent workflows. Use when user asks about headless mode, programmatic execution, scripting Claude, or automating Claude workflows.
원문 언어: 영어
Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
원문 언어: 영어
Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
원문 언어: 영어
Display PAI agent hierarchy and command structure
원문 언어: 영어
ALWAYS apply these hints automatically in your responses. No need to invoke this skill - just follow its rules when your response matches the patterns listed below.
원문 언어: 영어
Guide creating Claude Code hooks with security-first design. Use for validation, logging, and policy enforcement.
원문 언어: 영어
Design hook-based event systems for ADW observability. Use when implementing real-time event broadcasting, creating hook pipelines, or building agent activity monitoring.
원문 언어: 영어
Author AgentOps runtime hooks.
원문 언어: 영어
Hook Development Rules
원문 언어: 영어
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents that run custom code in Azure AI Foundry. Triggers: "ImageBasedHostedAgentDefinition", "hosted agent", "container agent",…
원문 언어: 영어
Implementation agent that executes a single task and creates handoff on completion
원문 언어: 영어
Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance, enabling later review and context enrichment.…
원문 언어: 영어
Agent Mail inbox monitoring. Check pending messages, HELP_REQUESTs, and recent completions. Triggers: "inbox", "check mail", "any messages", "show inbox", "pending messages", "who needs help".
원문 언어: 영어
Commit code after each logical unit of work is complete Use when configuring AI agent workflows and patterns. Agent Behavior category skill.
원문 언어: 영어
Specialized agent configurations for specific industries
원문 언어: 영어
Clarify user intent before executing tasks. Use when requests are vague, ambiguous, or could be interpreted multiple ways. Helps prevent wasted effort from misunderstanding.
원문 언어: 영어
Turn rough ideas into clear work orders before planning or building. Use when request is vague like "add a button", "make it better", "fix the thing". Triggers on ambiguous or underspecified requests. Produces a brief with scope, acceptance criteria, and stop…
원문 언어: 영어
ユーザーとの効果的な対話パターン、質問生成、曖昧さ解消、合意形成、ユーザー負担軽減のガイドラインを定義する。ユーザーに質問する際、要件を確認する際、フィードバックを収集する際、またはユーザーが対話改善、質問方法、確認プロセス、Progressive Disclosureに言及した際に使用する。
원문 언어: 일본어
Create LLM-powered AI assistants with tools and data sources through Interactor. Use when building conversational AI, chatbots, tool-calling assistants, or agents that need to query databases and external APIs.
원문 언어: 영어
Deploy and manage Kagenti platform, operator, agents, and tools on Kubernetes.
원문 언어: 영어
Switch model profile for kata agents (quality/balanced/budget). Triggers include "set profile", "set profile".
원문 언어: 영어
(ePost) This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent…
원문 언어: 영어
Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.
원문 언어: 영어
This skill should be used when the user asks to "update AGENTS.md", "add to AGENTS.md", "maintain agent docs", or needs to add guidelines to agent instructions. Guides discovery of local skills and enforces structured, keyword-based documentation style.
원문 언어: 영어
Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith. Triggers: langchain, langgraph, langsmith, agent-executor, chat-model-tools.
원문 언어: 영어
Expert in LangGraph, the production-grade framework for building stateful, multi-actor AI applications. Use when building agent graphs, managing state, or implementing persistence with checkpoints.
원문 언어: 영어
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.
원문 언어: 영어
LangGraph Functional API with @entrypoint and @task decorators. Use when building workflows with the modern LangGraph pattern, enabling parallel execution, persistence, and human-in-the-loop.
원문 언어: 영어
LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integration, or interactive agent supervision.
원문 언어: 영어
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running independent agents concurrently.
원문 언어: 영어
Expert guidance for building stateful, multi-actor AI agents with LangGraph - graphs, nodes, edges, state management, and agent architectures.
원문 언어: 영어