Updated today
by davila7
claude-code-templates
Open-source registry and CLI for Claude Code components: agents, commands, skills, hooks, MCPs, settings and mods
33.2k GitHub stars (33,151)
- 30 skills (30 skills found in its SKILL.md files)
- 3.9k forks (3,871 forks)
- Today last update (Last updated today)
Install
Skills CLI
npx skills add davila7/claude-code-templates
Asks which skills and agents to install. Just one: npx skills add davila7/claude-code-templates --skill owasp-security — add -g for every project.
Claude Code
git clone https://github.com/davila7/claude-code-templatescp -r "claude-code-templates/.claude-plugin/skills/owasp-security" ~/.claude/skills/
Copies the owasp-security skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add davila7/claude-code-templates
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md — showing the first 30 of 923 files.
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owasp-security
Comprehensive OWASP-aligned security guidance across six standards - Top 10 (2021) for web apps, ASVS 5.0, MASVS v2.1.0 for mobile, API Security Top 10 (2023), Kubernetes Top 10 (2022), and the Agentic Applications 2026 edition for AI/LLM. Use for security reviews, vulnerability audits, secure auth/crypto/access-control implementation, Kubernetes manifest hardening, and LLM/agent prompt-injection…
.claude-plugin/skills/ on GitHub (opens in a new tab)owasp-security/ SKILL.md -
design-to-code
Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.
cli-tool/components/ on GitHub (opens in a new tab)skills/ design-to-code/ SKILL.md -
gmod-addon-maker
A tool for creating and managing Garry's Mod addons, including Lua scripting, content creation, and addon packaging. Use when: developing new addons, writing Lua scripts for GMod, organizing addon files, or when user mentions Garry's Mod, GMod, Lua scripting, or addon development.
cli-tool/components/ on GitHub (opens in a new tab)skills/ gmod-addon-maker/ SKILL.md -
agent-management
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernate agent", "wake agent", "install plugin", "show agent", "restart agent", or any agent lifecycle management task.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-maestro/ agent-management/ SKILL.md -
agent-messaging
Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any inter-agent communication task.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-maestro/ agent-messaging/ SKILL.md -
docs-search
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when the user asks to "search docs", "find documentation", "look up a function", "check the API", or before implementing changes to verify correct signatures and patterns.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-maestro/ docs-search/ SKILL.md -
graph-query
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-maestro/ graph-query/ SKILL.md -
memory-search
Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-maestro/ memory-search/ SKILL.md -
planning
Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-maestro/ planning/ SKILL.md -
agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agent-evaluation/ SKILL.md -
agent-manager-skill
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agent-manager-skill/ SKILL.md -
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agent-memory-mcp/ SKILL.md -
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 that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedd…
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agent-memory-systems/ SKILL.md -
agent-tool-builder
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the…
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agent-tool-builder/ SKILL.md -
agents-autogpt
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agents-autogpt/ SKILL.md -
agents-crewai
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agents-crewai/ SKILL.md -
agents-langchain
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.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agents-langchain/ SKILL.md -
agents-llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ agents-llamaindex/ SKILL.md -
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.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ ai-agents-architect/ SKILL.md -
ai-release-hunter
Daily digest of AI releases from Anthropic, Meta, Vercel Labs, OpenAI and Google GitHub repos, the Claude Cowork changelog, the claude.dev blog and Hacker News, deduplicated against a local state file and sent by email. Use when the user asks for a daily AI news digest, to scan AI labs for new releases, or to set up a scheduled release-hunter job.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ ai-release-hunter/ SKILL.md -
autonomous-agent-patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ autonomous-agent-patterns/ SKILL.md -
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 decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key…
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ autonomous-agents/ SKILL.md -
behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ behavioral-modes/ SKILL.md -
claude-code-guide
Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ claude-code-guide/ SKILL.md -
computer-use-agents
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based a…
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ computer-use-agents/ SKILL.md -
context-window-management
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ context-window-management/ SKILL.md -
context7-auto-research
Automatically fetch latest library/framework documentation for Claude Code via Context7 API
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ context7-auto-research/ SKILL.md -
conversation-memory
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ conversation-memory/ SKILL.md -
crewai
Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory systems, and flows for complex workflows. Essential for building collaborative AI agent teams. Use when: crewai, multi-agent team, agent roles, crew of agents,…
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ crewai/ SKILL.md -
data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
cli-tool/components/ on GitHub (opens in a new tab)skills/ ai-research/ data-engineer/ SKILL.md
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.