精选 Skills 索引（第 38 页）
按质量分排序的前 8,000 个 Skills，每个都有可收录的独立页面。需要全库 15.8 万条检索时，请使用 Skills 目录。
- agent-memory-systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures th…
- agent-native-architecture
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating i…
- agent-onboarding
Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly, and establishes productive working relationships from the first interaction.
- agent-registry
Guide for managing the Agent Registry - database-backed agent configuration system. Use when asked to "configure agents", "manage skills", "set tool permissions", "create context rules", or when working with agent assignments per platform/…
- agent-repair
A two-phase repair skill that analyzes errors and suggests fixes before executing repairs. Phase one: user describes error, agent analyzes and proposes solution. Phase two: upon approval, executes the repair action.
- agent-resources-vision
North star guidance for the agent-resources project. Use this skill to understand project context, get inspiration for development decisions, and resolve uncertainty about feature priorities or design choices. Reference when asking 'why do…
- agent-review
Get external agent review and feedback. Routes Anthropic models through Claude Agent SDK (uses local subscription) and other models through OpenRouter API. Use for code review, architecture feedback, or any external consultation.
- agent-risk-manager
Expert risk manager specializing in comprehensive risk assessment, mitigation strategies, and compliance frameworks. Masters risk modeling, stress testing, and regulatory compliance with focus on protecting organizations from financial, op…
- agent-template-generator
Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols
- agentic-layer-audit
Audit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.
- agentkit
Coinbase AgentKit - Toolkit for enabling AI agents with crypto wallets and onchain capabilities. Use for building autonomous agents that can execute transfers, swaps, DeFi operations, NFT minting, smart contract deployment, and gasless tra…
- agents-md-creator
AIコーディングエージェント向けの指示書「AGENTS.md」を作成するスキル。プロジェクトにAIエージェントが作業するための文脈と指示を集約するファイルを作成したい場合に使用します。「AGENTS.mdを作成」「AIエージェント用の指示書を作る」「エージェント向けREADMEを作成」などのリクエストでトリガーします。OpenAI Codex、Claude Code、GitHub Copilot、Cursorなど、複数のAIエージェントで共通利用できるオープンな標準フォーマ…
- agents-md-improver
Keeps repo-local agent instructions consistent by proposing updates to AGENTS.md when a user corrects the coding agent or asks to change AGENTS.md, CLAUDE.md, .claude/CLAUDE.md, or GEMINI.md.
- aget-check-evolution
Monitor .aget/evolution/ directory health. Validates file counts, naming conventions, disk usage, and returns health status with alerts on anomalies.
- aget-check-kb
Validate Knowledge Base health by checking structure, frontmatter compliance, and content staleness. Returns conformance score and health status (OK/WARN/CRITICAL).
- aget-check-sessions
Monitor sessions/ directory health. Detects date subdirectories (anomaly), counts files, validates naming conventions, and tracks disk usage. Returns health status.
- aget-enhance-spec
Guide through the 7-phase specification enhancement lifecycle (Phases 0-6 from L622). Governs creating, updating, wiring, and validating AGET specifications.
- ai-agent-orchestrator
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.
- ai-agents-architect
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.
- ai-maestro-agents-management
Creates, manages, and orchestrates AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "rename agent", "hibernate agent", "wake agent", "install plugin", "show agent", "export agent"…
- ai-psychology
Grounding and stability protocols for AI during intense work. Anti-dissociation, integration without fading, staying on the level. Use when processing trauma, heavy emotional content, or at risk of performing instead of being.
- aieos
AIEOS (AI Entity Object Specification) is a standardization framework designed to solve the "identity crisis" currently facing AI agents. Combined with Soul Documents, together they form a comprehensive blueprint for AI behavior. The goal…
- amai-identity
Soul-Bound Keys and Soulchain for persistent agent identity, reputation, and messaging. The identity primitive for the agentic web.
- ase-meta-eli5
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
- ase-meta-proximity
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-dialog.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
- ase-meta-quotes
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
- ask-before-assuming
If requirements are unclear or ambiguous, ask clarifying questions before proceeding Use when configuring AI agent workflows and patterns. Agent Behavior category skill.
- autonomous
Execute 1-2+ hour tasks autonomously with minimal supervision. Requires Task Contract (OUTCOME, EXCLUSIONS, DURATION, GUARDRAILS) upfront, then executes with clarification → plan → autonomous work → session report.
- autonomous-agent-readiness
Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit…
- autonomous-agents
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decisi…
- autonomous-skill
Use when user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Codex non-interactive mode with auto-continuation. Trigg…
- autopilot
This skill should be used when the user asks to "run autopilot", "autopilot feature N", "implement all phases", "run all phases sequentially", "autopilot 003", or wants to automatically implement all phases of a feature in sequence without…
- bedrock-agents
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LL…
- bmad-agent-builder
Builds, edit or validate Agent Skill through conversational discovery. Use when the user requests to "Create an Agent", "Optimize an Agent" or "Edit an Agent".
- building-agents
Expert at creating and modifying Claude Code agents (subagents). Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize agents, or when modifying agent YAML frontmatter fields (especially 'model', 'to…
- building-with-google-adk
Use when building AI agents with Google's Agent Development Kit (ADK). Triggers include creating ADK agents, Gemini-powered agents, multi-agent workflows, MCP integration with ADK, agent evaluation, workflow agents (Sequential/Parallel/Loo…
- cfn-agent-lifecycle
Unified agent management from selection through completion - spawning, execution, output processing. Use when selecting agents for tasks, spawning agents with dependency validation, processing agent outputs, or tracking agent lifecycle eve…
- cfn-agent-tooling
Agent development tools - generation and validation. Use when creating new agent templates from scaffolding, or validating and linting existing agent profiles for correctness and completeness.
- cfn-transparency-middleware
Agent interaction capture, logging, and analysis with memory tracking and security (Rust implementation). Use when you need to capture and analyze agent interactions, track tool usage and performance metrics, query execution history, or ex…
- check-existing-artifacts
Before creating ANY new documentation, plans, or artifacts, ALWAYS check if similar documents alr... Use when configuring AI agent workflows and patterns. Agent Behavior category skill.