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Best Agents Skills for AI Agents

714 Agents skills for AI coding assistants — ranked by popularity.

This curated collection provides specific SKILL.md files designed to extend the capabilities of AI-agent frameworks like Claude Code, Codex, and Cursor. These skills allow agents to manage complex workflows, execute local inference, or interface with trading APIs. Whether you are building an MCP server, implementing Manus-style file-based planning, or needing systematic step-by-step reasoning, these tools provide a structured starting point. This library is for developers who want to move beyond basic prompts and give their agents functional, repeatable processes. You will find resources for task planning, environment setup, and skill creation. By integrating these files, you enable your agent to discover new capabilities, handle edge-based computation, and maintain context across long-running projects. Explore this list to find practical implementations that transform your AI setup into a specialized execution engine.

Top Agents skills

sequential-thinking

mrgoonie

Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

136386

llama-cpp

zechenzhangAGI

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

21471

mcp-builder

anthropics

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).

136215

planning-with-files

davila7

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.

233106

skill-creator

anthropics

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.

128200

using-superpowers

obra

Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists

95205

deep-research

davidorex

Multi-agent parallel investigation for complex VCV Rack problems

35163

ultrawork

Yeachan-Heo

Parallel execution engine for high-throughput task completion

11184

scientific-brainstorming

davila7

Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.

37155

prompt-optimizer

solatis

Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system behaviors.

43147

opencode-cli

SpillwaveSolutions

This skill should be used when configuring or using the OpenCode CLI for headless LLM automation. Use when the user asks to "configure opencode", "use opencode cli", "set up opencode", "opencode run command", "opencode model selection", "opencode providers", "opencode vertex ai", "opencode mcp servers", "opencode ollama", "opencode local models", "opencode deepseek", "opencode kimi", "opencode mistral", "fallback cli tool", or "headless llm cli". Covers command syntax, provider configuration, Vertex AI setup, MCP servers, local models, cloud providers, and subprocess integration patterns.

14174

claude-automation-recommender

anthropics

Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.

47140

clawhub

openclaw

Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.

25151

skill-installer

openai

Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

29141

langchain

zechenzhangAGI

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

26138

skill-development

anthropics

This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.

17145

skill-writer

pytorch

Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.

27126

archon

coleam00

Interactive Archon integration for knowledge base and project management via REST API. On first use, asks for Archon host URL. Use when searching documentation, managing projects/tasks, or querying indexed knowledge. Provides RAG-powered semantic search, website crawling, document upload, hierarchical project/task management, and document versioning. Always try Archon first for external documentation and knowledge retrieval before using other sources.

9140

mcp-integration

anthropics

This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

21123

agent-identifier

anthropics

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 structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

15122

hook-development

anthropics

This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.

11122

llama-factory

zechenzhangAGI

Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support

15112

dify-dsl-generator

wwwzhouhui

专业的 Dify 工作流 DSL/YML 文件生成器,根据用户业务需求自动生成完整的 Dify 工作流配置文件,支持各种节点类型和复杂工作流逻辑

18108

agent-factory

alirezarezvani

Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns

8109

How to choose a Agents skill

Evaluate each skill based on your specific operational needs and hardware constraints. Check the documentation within the SKILL.md file to understand the required input structure and the expected output artifacts, such as task_plan.md or progress.md. Prioritize skills that offer clear guidelines for maintenance, especially when dealing with specialized integrations like trading agents or MCP servers. Consider the scope—some skills provide narrow, task-specific logic, while others, like the skill-creator or using-superpowers, establish broader frameworks for how your agent interacts with its own toolkit.

More Agents skills

swarm-advanced
ruvnet · 7 installs
agentdb-memory-patterns
ruvnet · 9 installs
opencode-orchestrator-creator
IgorWarzocha · 8 installs
claude-opus-4-5-migration
anthropics · 9 installs
subagent-driven-development
davila7 · 14 installs
mcp-management
mrgoonie · 6 installs
memory-mcp
d-o-hub · 6 installs
agentdb-advanced-features
ruvnet · 7 installs
meta-automation-architect
comzine · 7 installs
continuous-learning
affaan-m · 9 installs
nlm-skill
jacob-bd · 8 installs
n8n-mcp-orchestrator
manutej · 7 installs
hive-mind-advanced
ruvnet · 6 installs
memory-keeper-proactive-context-maintenance
b4CU-R4U · 6 installs
swift-executor
erichowens · 10 installs
character-generator
Dexploarer · 5 installs
coding-agent
openclaw · 16 installs
langgraph
davila7 · 13 installs
reasoningbank-with-agentdb
ruvnet · 5 installs
gpt-researcher
assafelovic · 14 installs
ollama-setup
jeremylongshore · 11 installs
ralph-plan
mastra-ai · 14 installs
mcp-cli
github · 7 installs
continuous-learning-v2
affaan-m · 10 installs
copilot-sdk
github · 7 installs
game-design
davila7 · 15 installs
game-audio
davila7 · 13 installs
iterative-retrieval
affaan-m · 10 installs
context-compression
muratcankoylan · 13 installs
crewai
davila7 · 4 installs
skill-lookup
f · 14 installs
senior-data-scientist
davila7 · 9 installs
dispatching-parallel-agents
obra · 7 installs
mcp-setup
Yeachan-Heo · 5 installs
autonomous-agent-patterns
davila7 · 4 installs
claudeception
blader · 10 installs
prompt-caching
davila7 · 14 installs
crewai-multi-agent
davila7 · 4 installs
ralph
Yeachan-Heo · 17 installs
openclaw-control
Xxiii8322766509 · 5 installs
autonomous-agents
davila7 · 10 installs
guidance
davila7 · 3 installs
computer-use-agents
davila7 · 10 installs
prompt-engineer
davila7 · 9 installs
senior-prompt-engineer
davila7 · 7 installs
memory-systems
sickn33 · 9 installs
agent-memory-mcp
davila7 · 8 installs
agent-memory-systems
davila7 · 5 installs
claudish-usage
MadAppGang · 4 installs
skill-from-github
GBSOSS · 7 installs
agent-skill-creator
FrancyJGLisboa · 4 installs
agent-development
anthropics · 8 installs
agent-orchestrator-task
ruvnet · 3 installs
implementing-agent-modes
PostHog · 3 installs
openrouter-function-calling
jeremylongshore · 5 installs
cursor-subagent-creator
tech-leads-club · 5 installs
plugin-creator
ananddtyagi · 5 installs
requesting-code-review
obra · 5 installs
agent-tool-builder
davila7 · 3 installs
ai-wrapper-product
davila7 · 5 installs
autogpt-agents
davila7 · 5 installs
develop-ai-functions-example
vercel · 5 installs
agent-security-manager
ruvnet · 3 installs
agent-workflow
ruvnet · 4 installs
chatgpt-app-builder
mcp-use · 5 installs
omo
cexll · 1 installs
parallel-agents
davila7 · 6 installs
senior-ml-engineer
davila7 · 6 installs
ai-agents-architect
davila7 · 5 installs
survey-sdk-audit
PostHog · 3 installs
clawrouter
BlockRunAI · 4 installs
agentic-workflow
parcadei · 6 installs
cursor-multi-repo
jeremylongshore · 5 installs
evaluation
muratcankoylan · 3 installs
context-engineering-collection
muratcankoylan · 7 installs
security-auditor
sickn33 · 5 installs
subagent-creator
tech-leads-club · 8 installs
create-mcp-app
modelcontextprotocol · 3 installs
dspy
davila7 · 4 installs
context-window-management
davila7 · 3 installs
multi-agent-patterns
sickn33 · 6 installs
agent-context-isolation
parcadei · 4 installs
ai-engineer
sickn33 · 7 installs
create-meta-prompts
glittercowboy · 4 installs
microsoft-skill-creator
MicrosoftDocs · 6 installs
prompt-engineering
davila7 · 8 installs
search-skill
GBSOSS · 7 installs
team
Yeachan-Heo · 7 installs
agentic-jujutsu
ruvnet · 3 installs
voice-ai-engine-development
sickn33 · 4 installs
agent-code-review-swarm
ruvnet · 3 installs
token-budget
toonight · 4 installs
workflow-automation
ruvnet · 3 installs
adk-engineer
jeremylongshore · 3 installs
filesystem-context
muratcankoylan · 5 installs
llm-app-patterns
davila7 · 3 installs

+594 more — browse all skills.

Frequently asked

How do I know which skill to start with for complex projects?
If you are beginning a multi-step task, start with planning-with-files to establish a file-based documentation workflow or sequential-thinking to manage your logic. These help structure your agent’s output into logs like findings.md or task_plan.md, which ensures consistency throughout the execution process. This prevents your agent from losing track of the goal during long sessions.
Can I run these skills on a standard laptop?
Yes, several skills are designed for local environments. For instance, the llama-cpp skill allows you to run LLM inference on Apple Silicon or consumer GPUs without requiring specialized NVIDIA hardware. Always review the specific hardware requirements listed in each skill's repository to ensure your local setup meets the necessary performance criteria for your intended tasks.

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