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 17 hours ago
45,602 skills
- ai-productsickn33/agentic-awesome-skillsDesign and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls.DesignNo warnings★ 48.5K↓ —
- anti-sleepsickn33/agentic-awesome-skillsKeep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.OtherNo warnings★ 48.5K↓ —
- moatmrisickn33/agentic-awesome-skillsAnalyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.PlanningNo warnings★ 48.5K↓ —
- attendancesickn33/agentic-awesome-skillsDaily attendance register: check-in and check-out, hours worked, work mode, late minutes, leave and regularisation flags, as CSV, SQL, JSON Schema or Notion on request. Use for payroll input.DataNo 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↓ —
- aws-skillssickn33/agentic-awesome-skillsPlan and review AWS architecture and infrastructure changes using the upstream AWS skill collection.DevOpsNo warnings★ 48.5K↓ —
- postgresql-optimizationgithub/awesome-copilotPostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.DataNo warnings★ 40.4K↓ —Also in 1 other repo
- prompt-optimizergithub/awesome-copilotTurn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases include "rewrite this prompt", "make this a better prompt", "optimize this prompt", "turn this into a prompt", "help me prompt this", "draft a prompt that...", "I want to ask...", or whenever the user pastes a draft prompt and asks for improvements. Also trigger when the user describes a task they plan to send to an LLM model and clearly wants a reusable, well-structured prompt rather than a direct answer. The output is always a single, copy-pasteable prompt in a code block that the user sends as-is — never a template with placeholders.DesignNo 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★ 54.5K↓ —
- 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↓ —
- shortsickn33/agentic-awesome-skillsRewrite the previous response more briefly while preserving the substance.OtherNo warnings★ 48.5K↓ —Also in 1 other repo
- c4-contextsickn33/agentic-awesome-skillsExpert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies.ProductivityNo warnings★ 48.5K↓ —
- finalize-agent-promptgithub/awesome-copilotFinalize prompt file using the role of an AI agent to polish the prompt for the end user.OtherNo warnings★ 40.4K↓ —
- qdrant-search-qualitygithub/awesome-copilotDiagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.MarketingNo 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★ 54.5K↓ —
- 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★ 48.2K↓ —
- update-llmsgithub/awesome-copilotUpdate the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/PlanningNo warnings★ 40.4K↓ —
- 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★ 48.2K↓ —
- microsoft-code-referencegithub/awesome-copilotLook up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.EngineeringNo warnings★ 40.4K↓ —
- powerbi-modelinggithub/awesome-copilotPower BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.DesignNo warnings★ 40.4K↓ —
- shadcnsickn33/agentic-awesome-skillsManages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems.DesignNo warnings★ 48.5K↓ —
- resume-builderreactive-resume/reactive-resumeBuilds a complete resume from scratch as Reactive Resume JSON that conforms to the schema and imports at https://rxresu.me. Asks for each missing detail instead of inventing it, then produces valid JSON (UUIDs, HTML descriptions, template and layout). Use when the user wants to create, build or generate a new resume, turn their work history into Reactive Resume JSON, or asks about the Reactive Resume schema, sections, templates or layout. For what belongs on a resume or a resume audit use resume-content-guide; for rewriting bullets, resume-bullet-writer; for fitting one job posting, resume-tailor; for tracking applications, job-application-manager; for interviews, interview-prep or mock-interview.WritingNo warnings★ 44.8K↓ —
- hf-clisickn33/agentic-awesome-skillsCurated upstream guidance for Hf Cli; use when the workflow matches the user goal.EngineeringNo warnings★ 48.5K↓ —
- google-cloud-recipe-authgoogle/skillsProvides expert guidance on Identity and Access Management (IAM) and authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.OfficialOtherNo warnings★ 21.6K↓ —Also in 1 other repo
pinecone-rag
github/awesome-copilot
DataUpdated 2 days ago
From the author
Build 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.
Install
npx skills add github/awesome-copilot --skill pinecone-rag -a claude-code
Installs to .claude/skills/pinecone-rag/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (1)
- SKILL.md