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.
45,604 skills from 2,205 repositories · updated 13 hours ago
45,602 skills
- audit-logsickn33/agentic-awesome-skillsAudit trail register: timestamp, user, module, record, action, field changed, old and new value, and the reason for the change. Use for change history and control evidence.OtherNo warnings★ 48.5K↓ —
- market-sizing-analysiswshobson/agentsCalculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business plan.FinanceNo warnings★ 41.7K↓ —
- bug-bountysickn33/agentic-awesome-skillsComplete bug bounty workflowProductivityNo warnings★ 48.5K↓ —
- protocol-reverse-engineeringwshobson/agentsMaster network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.EngineeringNo warnings★ 41.7K↓ —
- agentmailsickn33/agentic-awesome-skillsEmail infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and inspect billing balance via the AgentMail API.DevOpsNo warnings★ 48.5K↓ —
- hybrid-search-implementationwshobson/agentsCombine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.OtherNo warnings★ 41.7K↓ —
- torch-geometricK-Dense-AI/scientific-agent-skillsSupports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.DataNo warnings★ 54.5K↓ —
- llm-evaluationwshobson/agentsImplement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.TestingNo warnings★ 41.7K↓ —
- agentflowsickn33/agentic-awesome-skillsOrchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and recoverable pipeline design.DesignNo warnings★ 48.5K↓ —
- ui-scoresickn33/agentic-awesome-skillsScore a UI file's design quality 0-100 against StyleSeed's design language — per-category breakdown, the worst offenders, and a prioritized fix list. A quantified version of /ss-review.DesignNo warnings★ 48.5K↓ —
- modern-javascript-patternswshobson/agentsMaster ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.WritingNo warnings★ 41.7K↓ —
- diagnosegithub/awesome-copilotPerform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.PlanningNo warnings★ 40.4K↓ —
- supercovsickn33/agentic-awesome-skillsMeasure line, branch and MC/DC coverage of a project's existing tests with the supercov CLI, then write small, focused tests for the code no test reaches.TestingNo warnings★ 48.5K↓ —Also in 1 other repo
- prometheus-configurationwshobson/agentsSet up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.DevOpsNo warnings★ 41.7K↓ —
- ux-auditsickn33/agentic-awesome-skillsAudit screens for UX issues using Nielsen's heuristics and modern mobile UX best practicesDesignNo warnings★ 48.5K↓ —
- optimize-for-gpuK-Dense-AI/scientific-agent-skillsGPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.DataNo warnings★ 54.5K↓ —
- remotionsickn33/agentic-awesome-skillsGenerate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlaysOtherNo warnings★ 48.5K↓ —
- teachsickn33/agentic-awesome-skillsTeach the user a new skill or concept, within this workspace.OtherNo warnings★ 48.5K↓ —
- openapi-spec-generationwshobson/agentsGenerate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.PlanningNo warnings★ 41.7K↓ —
- bug-huntersickn33/agentic-awesome-skillsSystematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.EngineeringNo warnings★ 48.5K↓ —
- glassersickn33/agentic-awesome-skillsSearch, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.EngineeringNo warnings★ 48.5K↓ —
- aws-lambdasickn33/agentic-awesome-skillsBuild and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.DevOpsNo warnings★ 48.5K↓ —
- dataset-curationwshobson/agentsPrepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.WritingNo warnings★ 41.7K↓ —
- rust-prosickn33/agentic-awesome-skillsMaster Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.OtherNo warnings★ 48.5K↓ —
dotnet-best-practices
github/awesome-copilot
EngineeringUpdated 2 days ago
From the author
Ensure .NET/C# code meets best practices for the solution/project.
Install
npx skills add github/awesome-copilot --skill dotnet-best-practices -a claude-code
Installs to .claude/skills/dotnet-best-practices/ · 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
Adoption71
Files (1)
- SKILL.md