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 18 hours ago
45,602 skills
- pytest-coveragegithub/awesome-copilotRun pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.TestingNo warnings★ 40.4K↓ —
- react18-legacy-contextgithub/awesome-copilotProvides the complete migration pattern for React legacy context API (contextTypes, childContextTypes, getChildContext) to the modern createContext API. Use this skill whenever migrating legacy context in class components - this is always a cross-file migration requiring the provider AND all consumers to be updated together. Use it before touching any contextTypes or childContextTypes code, because migrating only the provider without the consumers (or vice versa) will cause a runtime failure. Always read this skill before writing any context migration - the cross-file coordination steps here prevent the most common context migration bugs.ProductivityNo warnings★ 40.4K↓ —
- genomic-intelligenceK-Dense-AI/scientific-agent-skillsPredicts regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer activity, chromatin state, sequence-to-expression (log TPM), and de-novo gene annotation, plus a composite find-genes-then-predict-expression workflow. Use when the user has a gene symbol, a genomic region, or a DNA/FASTA sequence and wants any of these predictions, mentions Genomic Intelligence, genomicintelligence.ai, api.genomicintelligence.ai, or mcp.genomicintelligence.ai.ScienceNo warnings★ 54.5K↓ —
- bill-gatessickn33/agentic-awesome-skillsSimulacao educativa de analise estrategica inspirada em temas publicos de Bill Gates; nao representa a pessoa real ou suas opinioes atuais.OtherNo warnings★ 48.5K↓ —
- multi-stage-dockerfilegithub/awesome-copilotCreate optimized multi-stage Dockerfiles for any language or frameworkOtherNo warnings★ 40.4K↓ —
- molecular-dynamicsK-Dense-AI/scientific-agent-skillsRuns and analyzes molecular dynamics simulations with OpenMM and MDAnalysis. Sets up protein/small molecule systems, defines force fields, runs energy minimization and production MD, and analyzes trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.ScienceNo warnings★ 54.5K↓ —
- hunt-ssrfsickn33/agentic-awesome-skillsHunting skill for ssrf vulnerabilities.SecurityNo warnings★ 48.5K↓ —
- pinecone-raggithub/awesome-copilotBuild production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.DataNo warnings★ 40.4K↓ —
- hunt-miscsickn33/agentic-awesome-skillsHunting skill for misc vulnerabilities. Reference for authorized role, token and workflow-boundary reviews. Historical source count is not independently verified.SecurityNo warnings★ 48.5K↓ —
- mathguardsickn33/agentic-awesome-skillsMath-heavy escalation for n >= 10^6 — Bloom, HyperLogLog, Count-Min, MinHash/LSH, FFT, JL projection, sweep line. Use when classical O(n log n) is the floor and approximate or math wins.OtherNo warnings★ 48.5K↓ —
- mvvm-toolkit-digithub/awesome-copilotWire CommunityToolkit.Mvvm ViewModels into Microsoft.Extensions.DependencyInjection. Covers the .NET Generic Host composition root, constructor injection, service lifetimes (Singleton / Transient / Scoped), IMessenger registration, resolving ViewModels in Views, keyed services, testing seams, and the legacy Ioc.Default escape hatch. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.TestingNo warnings★ 40.4K↓ —
- supabasesickn33/agentic-awesome-skillsUse when doing ANY task involving Supabase.ProductivityNo warnings★ 48.5K↓ —
- qdrant-version-upgradegithub/awesome-copilotGuidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.OtherNo warnings★ 40.4K↓ —
- film-crewsickn33/agentic-awesome-skillsTurn a one-line AI video idea into a shot list and per-shot, model-ready prompts via a film crew (director, DP, gaffer, editor, script supervisor). Also fixes failing video prompts and diagnoses bad clips before a reroll. Works with Wan, LTX, Kling, Veo, Seedance, Hailuo, Runway.MediaNo warnings★ 48.5K↓ —
- bash-linuxsickn33/agentic-awesome-skillsBash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.OtherNo warnings★ 48.5K↓ —
- google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skillsDiscovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and Iceberg), establishing metadata governance with Knowledge Catalog aspect types, or grounding agentic IDEs (VS Code, Antigravity) by using the Google Cloud Data Agent Kit. Don't use for provisioning borderless data lakehouse infrastructure (use google-cloud-solution-agentic-ai-borderless-data-lakehouse instead).OfficialDataNo warnings★ 21.6K↓ —
- bgpt-paper-searchK-Dense-AI/scientific-agent-skillsSearches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.ScienceNo warnings★ 54.5K↓ —
- 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↓ —
- mirrordsickn33/agentic-awesome-skillsRun a local process inside a live Kubernetes cluster's network, env and traffic with mirrord, so changes are tested against real services without deploying.DevOpsNo warnings★ 48.5K↓ —
- analyticssickn33/agentic-awesome-skillsWhen the user wants to set up, improve, or audit analytics tracking and measurement.DataNo warnings★ 48.5K↓ —
- meeting-minutesgithub/awesome-copilotGenerate concise, actionable meeting minutes for internal meetings. Includes metadata, attendees, agenda, decisions, action items (owner + due date), and follow-up steps.OtherNo warnings★ 40.4K↓ —
- 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↓ —
- ginkgo-cloud-labK-Dense-AI/scientific-agent-skillsGuides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio). Applies to cell-free, E. coli, and Pichia protein expression; HiBiT, A280, and LabChip readouts; IVT mRNA/circRNA synthesis; thermal shift assays; Echo-MS methods; SPR target onboarding; plate-reader assay onboarding; and fluorescent pixel art.BrowserNo warnings★ 54.5K↓ —
- azure-akssickn33/agentic-awesome-skillsDeploy and manage Azure Kubernetes Service clusters. Configure node pools, networking, and integrations. Use when running Kubernetes workloads on Azure.DevOpsNo warnings★ 48.5K↓ —
agent-governance
github/awesome-copilot
OtherUpdated 2 days ago
From the author
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
Install
npx skills add github/awesome-copilot --skill agent-governance -a claude-code
Installs to .claude/skills/agent-governance/ · 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 onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (1)
- SKILL.md