В каталоге 182 820 навыков в 14 категориях.
Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
Create Claude Code slash commands and OpenCode command files that delegate to subagents. Use when creating new commands...
Analyze changes and create a meaningful commit with agent authorship. Internal skill for evolve_loop.
Expert guidance for designing robust multi-agent communication systems.
Patterns for inter-agent communication including message passing, shared state, event-driven architectures, pub/sub, inb...
Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans...
Validates agent definitions against the Antigravity audit rubric.
Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a re...
Agent Context Isolation
Expert context manager specializing in information storage, retrieval, and synchronization across multi-agent systems. M...
Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init
Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict cos...
Check agent configuration coverage across hierarchy levels and phases. Use to ensure complete agent system coverage.
Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer
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Guides agents and users to create standards-compliant agent definitions using templates in markdown frontmatter format,...
This skill provides procedures for creating new agents when project complexity requires delegation. Agents should be cre...
Guide for creating optimized Claude Code agents. Use to design a new specialized agent, a swarm sub-agent, or a multi-ag...
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .cla...
Purpose: Guide creation of Claude Code agents following Anthropic official best practices.
Use when creating expert agents. Generates agent.md with frontmatter, hooks, required sections, and skill references.
Guide for creating effective Claude Code agents. This skill should be used when users want to create a new agent (or upd...
Structured cross-review protocol between specialized agents. Ensures scope alignment, priority calibration, and domain-a...
Deep curation of a single agent definition through structured human conversation. Coordinates knowledge research, person...
Expert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory...
Guidelines for designing tools and action spaces for AI agents. Use when building agent harnesses, designing tool interf...
Design AI agents with recommended patterns and architectures
Design effective AI agent systems with clear architecture, capability planning, and tool integration. Use when building...
Best practices for designing Claude Code agent files (.claude/agents/*.md). This skill should be used when writing or re...
This skill selects and reviews the higher-level strategy behind an LLM-based agent's build — the architectural backbone,...
Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, o...
Agent skill for dev-backend-api - invoke with $agent-dev-backend-api
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatte...
Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting promp...
Create and audit Claude subagents. Use when building specialized workers with isolated context. Includes frontmatter, al...
Automatically discover and route to appropriate specialist agents
Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters er...
Perpetual autonomous work loop for Claude Code — no end condition, no memory regression, no context overfill. Maintains...
Designs and runs reproducible evaluations for AI agents, prompts, tools, skills, and model-backed workflows using realis...
Execute Miyabi Agents (Coordinator, CodeGen, Review, Deployment, PR, Issue) with Git Worktree isolation for parallel pro...
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or afte...
Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building d...
Visual context analyzer for AI agents. Provides screenshots, accessibility scans, DOM snapshots, and element description...
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool acces...
Bootstrap new 33GOD ecosystem agents with standardized configuration. Use when creating new agents, spawning workers, de...
Fitness Tech Specialist IA — Expert en technologies fitness (wearable data, workout programming, nutrition tracking, gam...
Create AI agents and workflows using Microsoft Agent Framework SDK. Supports single-agent and multi-agent workflow patte...
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creati...
The philosophy and practical benefits of agent fungibility in multi-agent software development. Why homogeneous, interch...
Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following...
ユーザーの責任範囲定義から、Agentのマークダウンファイルを生成する。エージェント作成時、プラグイン要素生成時、またはユーザーがエージェント定義、責任範囲、Agent生成、エージェントドキュメントに言及した際に使用する。
Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator
Test and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency...
Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator
This skill should be used when the user asks to 'create an agent', 'add an agent', 'write a subagent', 'agent frontmatte...
Without identity infrastructure, every Claude Code session starts from zero. The agent has no name, no remembered prefer...
Register and manage on-chain AI agent identity via ERC-8004.
Implementation guidance for creating individual agents in the Arcanea system with proper structure, capabilities, and in...
File-based inter-agent messaging with headless dispatch. Check inbox, send bugs/requests to other projects, automaticall...
Check and process messages from autonomous AILANG agents. Use when starting a session, after agent handoffs, or when che...
Run a blameless postmortem for an incident caused by an AI agent or LLM feature — hallucinated facts shipped to users, r...
Initialize or improve AGENTS.md files that define how coding agents operate in a repo. Use when asked to set up or repla...
Initialize or migrate to nested CLAUDE.md structure for progressive disclosure. Claude auto-loads CLAUDE.md from any dir...
에이전트 간 상호작용 구조와 워크플로우 정의
Agent invocation syntax and boundary rules
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system...
Agent skill for load-balancer - invoke with $agent-load-balancer
Use this skill when you need evidence-bounded loop state, plan/action/observation cycles, stop conditions, budgets, repe...
Complete operational workflow for implementer agents (Codex, Gemini, etc.) making code changes and writing tests. Drives...
Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or...
MCP Agent Mail for multi-agent coordination. Use when agents need file locks, messaging, inboxes, or conflict prevention...
Multi-agent coordination with Agent Mail MCP. Use when registering agents, reserving files, sending messages, coordinati...
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save t...
Persistent semantic memory for the agent. Use to save facts, patterns, and important decisions during interactions, and...
Persists knowledge across conversations in a local memory store. Use when the user says "remember", "memorize", "recall"...
会話をまたいで知識を保存する永続的なメモリ空間。
Use to maintain technical continuity, architecture context, and user preferences across multiple development sessions
Retain and recall work context across sessions. Use when user asks to remember something, recall previous work, or refer...
Claude Code has no memory between sessions by default. Every conversation starts blank. But a project's knowledge accumu...
Persist and retrieve repository-specific knowledge using AGENTS.md files. Use when you want to save important informatio...
Implement short-term and long-term memory for AI agents using vector databases and PostgreSQL. Covers in-session convers...
Agent skill for memory-coordinator - invoke with $agent-memory-coordinator
ユーザーが「記憶して」「思い出して」などのメモリ操作を指示した時に使用。重要な調査結果、アーキテクチャの決定、問題の解決策を発見した時にも積極的に保存を提案する。
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns,...
Persistent memory architecture for AI agents across sessions. Episodic memory (past events), procedural memory (learned...
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the a...
Use when user mentions or implies: agent memory; User mentions or implies: long-term memory
You are a cognitive architect who understands that memory makes agents intelligent. You've built memory systems for agen...
Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization....
Specialist subagent: Expert machine learning engineer for PyTorch, TensorFlow, LLM integration, and ML pipelines
ML Pipeline Specialist IA — Expert en pipelines ML (feature stores, data versioning, experiment tracking, model registry...
Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm