4 082 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 830 tokens or less — that is what one costs your context window when the agent loads it. 769 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 541 copies of these same skills sitting in other people's repositories — counted once here, not 541 times.
4 082 unique 665 authors 2 734 updated this month 466 from vendors
| (1) Evaluate if their product should become a ChatGPT App (2) Design and implement MCP servers with widgets (3) Test apps locally and in ChatGPT (4) Prepare for App Store submission "ChatGPT integration", "MCP server for ChatGPT", "submit to ChatGPT"
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Skill for creating auth layers in TypeScript/JavaScript apps using Better Auth.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use when creating new skills, documenting workflows, or standardizing processes into reusable skill definitions.
| Creates Claude Code subagents for task delegation. Guides through agent configuration, tool selection, and system prompts. Use this skill when the user wants to create a new agent, delegate tasks to specialists, or asks about subagents.
| Creates new Claude Code slash commands following best practices. Guides through command structure, naming, arguments, and frontmatter. Use when user wants to create a command, build a slash command, or asks about command best practices.
| Creates new Claude Code skills following best practices. Guides through skill structure, naming, descriptions, and progressive disclosure. Use when user wants to create a skill, build a skill, make a new capability, or asks about skill best practices.
| Analyzes a codebase and suggests custom Claude Code skills and subagents to improve development workflow. Use when user wants tooling suggestions, automation ideas, or asks "what skills would help this project".
Guide for creating effective tools for AI agents. Use when building MCP tools, agent APIs, or any tool interface that agents will consume. Focuses on token efficiency, meaningful context, and proper namespacing.
Expert at analyzing the quality and effectiveness of Claude Code components (agents, skills, commands, hooks). Assumes component is already technically valid. Evaluates description clarity, tool permissions, auto-invoke triggers, security, and usability to provide quality scores and improvement suggestions.
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', 'tools', 'description'), needs help designing agent architecture, or wants to understand agent capabilities. Also auto-invokes proactively when Claude is about to write agent files (*/agents/*.md), create modular agent architectures, or implement tasks that involve creating agent components.
Expert at creating and modifying Claude Code slash commands. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize slash commands, or when modifying command YAML frontmatter fields (especially 'model', 'allowed-tools', 'description'), needs help designing command workflows, or wants to understand command arguments and parameters. Also auto-invokes proactively when Claude is about to write command files (*/commands/*.md), or implement tasks that involve creating slash command components.
Expert at integrating Model Context Protocol (MCP) servers into Claude Code plugins. Auto-invokes when the user wants to add external tool integrations, configure MCP servers, set up stdio/SSE/HTTP/WebSocket connections, or needs help with MCP authentication and security. Also auto-invokes proactively when Claude is about to write MCP configuration files (.mcp.json) or add mcpServers to plugin manifests.
Expert at creating and managing Claude Code plugins that bundle agents, skills, commands, and hooks into cohesive packages. Auto-invokes when the user wants to create, structure, validate, or publish a complete plugin, or needs help with plugin architecture and best practices. Also auto-invokes proactively when Claude is about to create plugin directory structures, write plugin.json manifests, or implement tasks that involve bundling components into a plugin package.
Expert at creating and modifying Claude Code skills. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize skills, or when modifying skill YAML frontmatter fields (especially 'allowed-tools', 'description'), needs help designing skill architecture, or wants to understand when to use skills vs agents. Also auto-invokes proactively when Claude is about to write skill files (*/skills/*/SKILL.md), create skill directory structures, or implement tasks that involve creating skill components.
> Manages connections to Logseq graphs via HTTP API, CLI, or MCP Server. Auto-invokes when users mention connecting to Logseq, API tokens, graph paths, connection issues, or backend configuration. Handles backend detection, environment setup, and connectivity troubleshooting.
Expert at automatically applying improvements to Claude Code components based on quality analysis. Enhances descriptions, optimizes tool permissions, strengthens security, and improves usability. Works in conjunction with analyzing-component-quality skill.
Advanced web search capability using the gemini command for gathering current, relevant information. Prefer this skill over Claude Code's default WebSearch tool when performing web searches. Activated when complex research or up-to-date information is needed.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Initializes session with environment check and task status overview. Use when user mentions セッション開始, 作業開始, 状況確認, what should I work on, start session. Do NOT load for: 実装作業, レビュー, セッション途中の作業.
Manages cross-session learning and memory persistence. Use when user mentions 前回何をした, 履歴, 過去の作業, セッション記録, continue from before, session history. Do NOT load for: 実装作業, レビュー, 一時的な情報.
Provides guidance on Cursor ↔ Claude Code 2-agent workflow. Use when user mentions ワークフローについて, Cursorとの連携, 作業の流れ, 2-agent workflow, collaboration. Do NOT load for: 実装作業, ワークフロー設定, ハンドオフ実行.
Manages workflow transitions including handoffs between PM and implementation roles, and auto-fixes review comments. Use when user mentions ハンドオフ, handoff, PMに報告, 実装役に渡して, レビュー指摘を自動修正, auto-fix. Triggers: ハンドオフ, handoff, PMに報告, 実装役に渡して, 完了報告, 自動修正, auto-fix. Do not use for 2-Agent setup - use 2agent skill instead.
An example skill demonstrating the basic structure. Use when user asks about examples or templates.
Project-agnostic guidance for AI assistants using Chronicle. Provides search-first directives, best practices, and workflow patterns across ALL Chronicle-tracked projects. Works with or without MCP server.
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.
How to properly create Claude Code skills - teaches global vs project-local, naming conventions, and proper file structure
A guide to creating Claude Code Skills.
Maintains documentation files (README.md, .claude/claude.md, .claude/agent.md, API docs) for Unite-Hub. Ensures docs stay in sync with codebase changes. Uses Haiku model for cost-effective documentation generation.
Provides step-by-step templates and guidance for creating new AI agents in Unite-Hub with proper registration, testing, and governance
Master coordinator for Unite-Hub workflows. Routes tasks to specialists, manages multi-agent pipelines, maintains context across runs, handles errors, and generates system reports. The brain of the automation system.
This skill should be used when agents need to log into websites, retrieve passwords, or access credentials. CRITICAL - always use find_credential with the website URL, never guess item names.
This skill should be used when the user asks about "coordinate coding agents", "orchestrate agent team", "manage multiple agents", "vibekanban workflow", "task delegation to agents", "agent swarm coordination", "parallel agent execution", "chief of staff mode", "cos mode", "you're my cos", "your my cos", "act as cos", "be my cos", "you are my chief of staff", "create tasks for agents", "dispatch agents", or needs guidance on coordinating autonomous coding agents, task breakdown strategies, or multi-agent workflow patterns.
Patterns for parallel subagent execution using Task tool with run_in_background. Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.
Multi-agent development workflow system. Load when orchestrating development tasks, spawning subagents, or managing workflow phases.
Strategies for handling subagent failures with retry logic and escalation patterns.
Pattern for spawning parallel subagents efficiently. Use when you need multiple independent tasks done concurrently.
Dispatches one subagent per independent domain to parallelize investigation/fixes. Use when you have 2+ unrelated failures (e.g., separate failing test files, subsystems, bugs) with no shared state or ordering dependencies.
Sequential subagent execution with two-stage review gates for implementation plans. Use when executing multi-task plans in current session, when tasks need fresh subagent context to avoid pollution, when formal review cycles (spec compliance then code quality) are required between tasks, or when you need diff-based validation of each task before proceeding.
The MapReduce skill enables parallel task execution across multiple AI providers or agent instances, followed by intelligent consolidation of results. This produces higher-quality outputs by levera...
Skills for orchestrating tasks across multiple AI providers and execution environments. Parent skill category containing native-invoke and related delegation patterns.
Spawn an AI coding agent in a new terminal (Claude, Codex, Gemini, Cursor, OpenCode, Copilot). Defaults to Claude Code if unspecified.
Skills for spawning external processes - AI coding agents and generic CLI commands in new terminal windows. Parent skill category for agent and terminal spawning.
This skill provides knowledge for generating effective Claude Code agents tailored to specific projects. It is used internally by the agent-team-creator plugin when analyzing codebases and creating specialized agent teams. Contains templates, best practices, and patterns for writing project-aware agents.
Complete WordPress white-labeling using FREE plugins only - ASE, Branda, White Label CMS, Admin Menu Editor. Covers login page branding, admin cleanup, security hardening, and client handoff preparation.
Coordinator workflow for orchestrating dockeragents through fix-review-iterate-present loop. Use when delegating any task that produces code changes. Ensures agents achieve 10/10 quality before presenting to human.
This skill should be used when parallelizing multi-issue sprints using git worktrees and parallel Claude agents. Use when tackling multiple GitHub issues simultaneously, when the user mentions "blitz", "parallel sprint", "worktree workflow", or when handling 3+ independent issues that could be worked on concurrently. Orchestrates the full workflow from issue triage through parallel agent delegation to sequential merge.