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.
28,750 skills from 1,176 repositories · updated 13 minutes ago
28,748 skills
- what-context-neededgithub/awesome-copilotAsk Copilot what files it needs to see before answering a questionProductivityNo warnings★ 40.4K↓ —
- hunt-ssrfsickn33/agentic-awesome-skillsHunting skill for ssrf vulnerabilities.SecurityNo warnings★ 48.4K↓ —
- 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↓ —
- implementsickn33/agentic-awesome-skillsImplement a piece of work based on a PRD or set of issues.PlanningNo warnings★ 48.4K↓ —
- csharp-nunitgithub/awesome-copilotGet best practices for NUnit unit testing, including data-driven testsTestingNo warnings★ 40.4K↓ —
- julia-prosickn33/agentic-awesome-skillsMaster Julia 1.10+ with modern features, performance optimization, multiple dispatch, and production-ready practices.OtherNo warnings★ 48.4K↓ —
- stride-analysis-patternswshobson/agentsApply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.SecurityNo warnings★ 41.6K↓ —
- terraform-module-librarywshobson/agentsBuild reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.DevOpsNo warnings★ 41.6K↓ —
- multi-stage-dockerfilegithub/awesome-copilotCreate optimized multi-stage Dockerfiles for any language or frameworkOtherNo warnings★ 40.4K↓ —
- 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★ 48.4K↓ —
- make-repo-contributiongithub/awesome-copilotAll changes to code must follow the guidance documented in the repository. Before any issue is filed, branch is made, commits generated, or pull request (or PR) created, a search must be done to ensure the right steps are followed. Whenever asked to create an issue, commit messages, to push code, or create a PR, use this skill so everything is done correctly.EngineeringNo warnings★ 40.4K↓ —
- openshiftsickn33/agentic-awesome-skillsManage Red Hat OpenShift clusters and deployments.DevOpsNo warnings★ 48.4K↓ —
- placecallsickn33/agentic-awesome-skillsPlace real outbound phone calls to US businesses through the PlaceCall API: book, ask, get quotes, then read the outcome and transcript.EngineeringNo warnings★ 48.4K↓ —
- poka-yokesickn33/agentic-awesome-skillsMistake-proof code, config and process: make the wrong action impossible or self-announcing rather than documented.EngineeringNo warnings★ 48.4K↓ —
- mvvm-toolkit-messengergithub/awesome-copilotCommunityToolkit.Mvvm Messenger pub/sub for decoupled communication between ViewModels (or any objects). Covers WeakReferenceMessenger vs StrongReferenceMessenger, IRecipient<TMessage>, RequestMessage<T> / AsyncRequestMessage<T> / CollectionRequestMessage<T>, ValueChangedMessage<T>, channels (tokens), and the ObservableRecipient activation lifecycle. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.OtherNo warnings★ 40.4K↓ —
- usfiscaldataK-Dense-AI/scientific-agent-skillsQueries the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.FinanceNo warnings★ 54.4K↓ —
- backtesting-frameworkswshobson/agentsBuild robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.DevOpsNo warnings★ 41.6K↓ —
- pwn-chainsickn33/agentic-awesome-skillsGo from reverse engineering to a working exploit: stack/heap/kernel pwn workflows with pwntools, libc-database, ROP, and stabilization from CTF to authorized remote targets.DataNo warnings★ 48.4K↓ —
- create-specificationgithub/awesome-copilotCreate a new specification file for the solution, optimized for Generative AI consumption.PlanningNo warnings★ 40.4K↓ —
- winui3-migration-guidegithub/awesome-copilotUWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and the most common Copilot code generation mistakes.EngineeringNo warnings★ 40.4K↓ —
- recallmaxsickn33/agentic-awesome-skillsFREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.WritingNo warnings★ 48.4K↓ —
- 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↓ —
- parallel-webK-Dense-AI/scientific-agent-skillsUses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.ScienceNo warnings★ 54.4K↓ —
- python-observabilitywshobson/agentsPython observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.DevOpsNo warnings★ 41.6K↓ —
ai-product
sickn33/agentic-awesome-skills
OtherUpdated 8 hours ago
From the author
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
Install
npx skills add sickn33/agentic-awesome-skills --skill ai-product -a claude-code
Installs to .claude/skills/ai-product/ · 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 (2)
- SKILL.md
- references/detailed-guide.md