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 3 hours ago
45,602 skills
- 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↓ —
- 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↓ —
- issue-fields-migrationgithub/awesome-copilotBulk-migrate metadata to GitHub issue fields from two sources: repo labels (e.g. priority labels to a Priority field) and Project V2 fields. Use when users say "migrate my labels to issue fields", "migrate project fields to issue fields", "convert labels to issue fields", "copy project field values to issue fields", or ask about adopting issue fields. Issue fields are org-level typed metadata (single select, text, number, date) that replace label-based workarounds with structured, searchable, cross-repo fields.OtherNo warnings★ 40.4K↓ —
- gke-upgradesgoogle/skillsPlans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Handles node pool upgrade strategies (surge, blue-green), version compatibility, PDB management, and workload-specific concerns (stateful, GPU, operators). Use this skill whenever the user mentions GKE upgrades, Kubernetes version bumps, node pool maintenance, GKE patching, cluster version management, release channel selection, maintenance windows, surge upgrades, stuck upgrades, or any GKE lifecycle management task — even casual mentions like "we need to upgrade our clusters" or "plan our next GKE maintenance" or "our upgrade is stuck." Don't use for GKE cluster creation, application onboarding, general networking/routing setup, or security policy configurations (use gke-basics or relevant GKE skills instead).OfficialSecurityNo warnings★ 21.6K↓ —
- bug-reproduction-briefgithub/awesome-copilotTurn a vague, intermittent, or environment-specific bug report into a minimal evidence-backed reproduction before proposing a fix.PlanningNo warnings★ 40.4K↓ —
- create-quarkus-projectgithub/awesome-copilotCreate a new Quarkus project (Maven or Gradle) with the Quarkus CLI, code.quarkus.io API or Maven plugin, choose extensions, and run it in dev mode. Use when asked to scaffold, bootstrap or start a Quarkus application or REST API.EngineeringNo warnings★ 40.4K↓ —
- php-mcp-server-generatorgithub/awesome-copilotGenerate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDKTestingNo 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
- ux-auditsickn33/agentic-awesome-skillsAudit screens for UX issues using Nielsen's heuristics and modern mobile UX best practicesDesignNo warnings★ 48.5K↓ —
- python-testing-patternswshobson/agentsImplement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.TestingNo warnings★ 41.7K↓ —
- next-intl-add-languagegithub/awesome-copilotAdd new language to a Next.js + next-intl applicationOtherNo warnings★ 40.4K↓ —
- 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↓ —
- remotionsickn33/agentic-awesome-skillsGenerate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlaysOtherNo warnings★ 48.5K↓ —
- page-crosickn33/agentic-awesome-skillsAnalyze and optimize individual pages for conversion performance.MarketingNo warnings★ 48.5K↓ —
- workoraisickn33/agentic-awesome-skillsWorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.OtherNo warnings★ 48.5K↓ —
- cockneysickn33/agentic-awesome-skillsCheeky Cockney coding mode: terse replies, the smallest correct change, plain English for anything risky.EngineeringNo warnings★ 48.5K↓ —
- paypal-integrationwshobson/agentsIntegrate PayPal payment processing with support for express checkout, subscriptions, and refund management. Use when implementing PayPal payments, processing online transactions, or building e-commerce checkout flows.OtherNo warnings★ 41.7K↓ —
- 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↓ —
- managed-airflow-dag-authoringgoogle/skillsProvides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs.OfficialEngineeringNo warnings★ 21.6K↓ —
- google-ads-api-account-diagnosticsgoogle/skillsDiagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when troubleshooting sudden performance drops, analyzing campaign impression share metrics, investigating low lead flow, or searching for bidding and budget constraints. Don't use for setting up new campaigns, uploading conversion events directly, or general Google Mobile Ads SDK integration issues (use gma-android-integrate instead).OfficialMarketingNo warnings★ 21.6K↓ —
- 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↓ —
- langfusesickn33/agentic-awesome-skillsExpert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.DevOpsNo warnings★ 48.5K↓ —Also in 1 other repo
- 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↓ —
wiki-qa
sickn33/agentic-awesome-skills
TestingUpdated 19 hours ago
From the author
Answer repository questions grounded entirely in source code evidence. Use when user asks a question about the codebase, user wants to understand a specific file, function, or component, or user asks "how does X work" or "where is Y defined".
Install
npx skills add sickn33/agentic-awesome-skills --skill wiki-qa -a claude-code
Installs to .claude/skills/wiki-qa/ · 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