Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
7,508 skills from 198 repositories · updated 7 minutes ago
808 skills
- blockrunsickn33/agentic-awesome-skillsBlockRun works with Claude Code and Google Antigravity.EngineeringNo warnings★ 48.2K↓ —
- debuggersickn33/agentic-awesome-skillsDebugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.EngineeringNo warnings★ 48.2K↓ —
- c-prosickn33/agentic-awesome-skillsReview and implement C systems code with explicit memory ownership, pointer bounds, error handling, and measured performance.EngineeringNo warnings★ 48.2K↓ —
- fp-asyncsickn33/agentic-awesome-skillsPractical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examplesEngineeringNo warnings★ 48.2K↓ —
- fp-reactsickn33/agentic-awesome-skillsPractical patterns for using fp-ts with React - hooks, state, forms, data fetching. Works with React 18/19, Next.js 14/15.EngineeringNo warnings★ 48.2K↓ —
- python-code-stylewshobson/agentsPython code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.EngineeringNo warnings★ 41.4K↓ —
- python-configurationwshobson/agentsPython configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.EngineeringNo warnings★ 41.4K↓ —
- mcp-cligithub/awesome-copilotInterface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.EngineeringNo warnings★ 40.3K↓ —
- zarr-pythonK-Dense-AI/scientific-agent-skillsStores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation.EngineeringNo warnings★ 53.4K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.EngineeringNo warnings★ 47.8K↓ —
- preference-optimizationwshobson/agentsAlign a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.EngineeringNo warnings★ 41.4K↓ —
- react-state-managementwshobson/agentsMaster modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.EngineeringNo warnings★ 41.4K↓ —
- githubsickn33/agentic-awesome-skillsUse the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.EngineeringNo warnings★ 48.2K↓ —
- python-anti-patternswshobson/agentsUse this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.EngineeringNo warnings★ 41.4K↓ —
- weather-fetchershanraisshan/claude-code-best-practiceInstructions for fetching current weather temperature data for Dubai, UAE from Open-Meteo APIEngineeringNo warnings★ 67.9K↓ —
- python-error-handlingwshobson/agentsPython error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.EngineeringNo warnings★ 41.4K↓ —
- python-performance-optimizationwshobson/agentsProfile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.EngineeringNo warnings★ 41.4K↓ —
- ai-readygithub/awesome-copilotMake any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".EngineeringNo warnings★ 40.3K↓ —
- parallel-debuggingwshobson/agentsDebug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.EngineeringNo warnings★ 41.4K↓ —
- fastapi-templateswshobson/agentsCreate production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.EngineeringNo warnings★ 41.4K↓ —
- python-resource-managementwshobson/agentsPython resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.EngineeringNo warnings★ 41.4K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.EngineeringNo warnings★ 47.8K↓ —
- grpo-rlvr-trainingwshobson/agentsTrain reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.EngineeringNo warnings★ 41.4K↓ —
- cohesivitysickn33/agentic-awesome-skillsProvision headless backend services for AI agents through Cohesivity: hosting, databases, storage, LLMs, and third-party APIs over one HTTP API. Use when a trusted .cohesivity file exists or the user approves a new backend.EngineeringNo warnings★ 48.2K↓ —
debugger
sickn33/agentic-awesome-skills
EngineeringUpdated 16 hours ago
From the author
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
Install
npx skills add sickn33/agentic-awesome-skills --skill debugger -a claude-code
Installs to .claude/skills/debugger/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption72
Files (1)
- SKILL.md