The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 600 files from 1 763 authors, of which 61 947 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
>- Dedicated Datacenter/ISP proxies with geo-targeting, IP rotation, session persistence, and port-based sticky IPs. Use when routing traffic through proxies, building scrapers with proxy auth, rotating or sticky sessions, whitelisting IPs, or accessing geo-restricted content.
Automated UI testing for Windows desktop apps — generate a batch test script with the `winapp ui` UI Automation harness, run all tests in one pass, read results. Covers element assertions, interactions, value checking (TextBox, ComboBox, ToggleSwitch), keyboard shortcuts and typing (send-keys), hover, drag-and-drop, touch and pen input, file pickers, flyouts, dialogs, persistence, accessibility audits, and screenshot/video capture. Works on any Windows app (Win32, WPF, WinForms, WinUI 3, packaged or unpackaged).
MSIX packaging, code signing, and distribution for WinUI 3 apps — build for release, certificate generation (winapp cert generate), certificate trust, code signing (winapp sign), self-contained deployment, CI/CD with GitHub Actions, and Microsoft Store submission. Use when preparing for release, creating MSIX installers, managing certificates, setting up CI/CD packaging, or publishing to the Microsoft Store.
Code quality review for WinUI 3 apps — MVVM compliance, x:Bind correctness, accessibility, theming, security, and performance. Use before committing to catch issues that the compiler and UI tests won't find.
Install and verify the prerequisites the win-dev-skills WinUI 3 toolchain depends on — .NET SDK 10, the WinApp CLI, the WinUI 3 .NET templates, and Developer Mode. Use when setting up a new machine, after a Windows reset, or when another winui skill reports a missing prerequisite (e.g., `winapp` not found, `dotnet` not found, the WinUI 3 templates are missing, or Developer Mode is off).
Build and run workflow for WinUI 3 apps — project creation, BuildAndRun.ps1 script, winapp run, error diagnosis, and prerequisites. Use when building, running, or fixing build errors in a WinUI 3 project.
Analyze the current or a recent agent session (GitHub Copilot CLI or Claude Code) and generate a diagnostic report. Use when asking for session feedback, debugging agent behavior, or reviewing what happened during a build session.
Use when designing, reviewing, or fixing WinUI 3: layout planning, control choice, Fluent Design alignment, Light/Dark/High Contrast theming, typography, spacing, brushes, accessibility, and XAML data-binding design. Load before authoring new XAML, reviewing UI PRs, migrating desktop UI to WinUI, or choosing between WinUI controls/patterns.
Migrate WPF applications to WinUI 3 — namespace replacement (System.Windows → Microsoft.UI.Xaml), control mapping (DataGrid→ListView, WrapPanel→ItemsRepeater, TabControl→TabView), threading (Dispatcher→DispatcherQueue), imaging (System.Drawing→BitmapImage), MVVM conversion to CommunityToolkit.Mvvm, and DynamicResource→ThemeResource. Use when converting WPF code, replacing WPF namespaces, or fixing migration build errors.
Check the health of your Zapier MCP setup. Three modes — health check (dashboard view), audit (find waste and duplicates), diagnose (systematic troubleshooting). Use when asking "is my MCP working?", "check my tools", "audit my setup", "what's broken?", or "zapier status".
Walk a new user through setting up their first Zapier action and running it live — the smallest possible win. Asks what app they use, recommends one read action to enable, guides them to mcp.zapier.com to add it, then demonstrates it working in the same chat. Use when the user asks "show me how Zapier works", "set up my first action", "give me a quick demo", "I want to try it", "what's the fastest way to see this work", "minimal setup", "hello world", or "smallest example".
Onboard a new user to Zapier MCP — introduce what it can do, walk through authentication, and route into the right flow based on the state of their setup. Use when getting started, troubleshooting connection issues, or when the user asks "what is Zapier MCP", "how do I get started with Zapier", "set me up", "what can I do with Zapier", or "tell me about Zapier".
Explore what Zapier MCP can do for the user — interview them about their role and the apps they live in, suggest specific use cases as on-demand prompts, then walk them through enabling the actions to make those use cases real. The natural next step after `zapier-demo`. Use when the user asks "what else can Zapier do for me", "set up more tools", "add a starter pack for my role", "what should I enable next", "suggest workflows", "help me figure out what to do with Zapier", "I don't know where to start", or "give me Zapier examples".
Extract structured data from clinical notes with span-level provenance and null-safety. Use when users say "extract [variables] from this note", "abstract this chart", "pull structured data from these notes", "what does this note say about [field]", or when building a chart-abstraction, registry, or cohort dataset from unstructured clinical text.
Drive the contracts engine's runtime surface (the stdio MCP server) to verify changes end-to-end. Scoped to public-plugins/plugins/healthcare/skills/contracts/ and ../../servers/documents/.
Answer a question across a corpus of contract documents with verified citations. Use when the user asks what a contract says, which contracts have a clause, what changed between amendments, or any question that needs reading and citing across a set of contract files. The corpus must be on the local filesystem (see README).
Connect to a hospital's FHIR R4 server (Epic, Oracle Health/Cerner, MEDITECH, athenahealth, or any SMART-on-FHIR endpoint), pull a patient's clinical data and notes, and extract structured findings. Use when users say "connect to the EHR", "connect to Epic/Cerner", "pull notes for patient X", "what do the last 6 months of notes say about Y", or any task that starts from a live EHR rather than pasted text.
Extract plain text from a document file - PDF, DOCX, XLSX, PPTX, RTF, or plain text/markdown/HTML. Use when a binary document needs to be turned into text, for example a contract PDF or an EHR DocumentReference attachment. Other skills (fhir) invoke scripts/extract.ts directly; the contracts MCP server bundles its own copy (servers/documents/src/extract.mjs) so its bundle stays self-contained — port fixes to both.
Screen a Medicare/Medicaid claims corpus for fraud, waste, and abuse and produce ranked, fully-cited investigation referrals for an SIU / program-integrity team. Use when asked to run a fraud sweep, screen claims for FWA, find billing anomalies, or generate investigation referrals over a claims dataset.
Assign CPT and HCPCS Level II procedure codes from clinical documentation the way a professional coder builds the claim. Use when users say "code this encounter for procedures", "what CPT codes apply", "assign HCPCS codes", "code this op note", or when turning visit notes or operative reports into claim-ready procedure codes.
Extract billable ICD-10-CM diagnosis codes from a clinical note the way a professional coder builds the claim. Use when users say "code this encounter", "assign ICD-10 codes", "what diagnosis codes apply", "code this chart", or when turning clinical documentation into claim-ready diagnosis codes.
Design and operate task delegation systems for multi-agent fleets. Covers workload distribution, load balancing, queue management, priority scheduling, and dynamic agent scaling for production agent systems.
Design robust error recovery, retry logic, and fallback strategies for production AI agents. Covers transient failure handling, circuit breakers, exponential backoff, state recovery, graceful degradation, and dead-letter queues for agent systems.
Lightweight personal knowledge base — markdown + YAML frontmatter structured notes with full-text search and cross-referencing for AI agents
Implement comprehensive audit logging and reporting for multi-agent systems. Covers event capture, structured logging, traceability, compliance reporting, forensic analysis, and real-time monitoring dashboards for agent actions and decisions.
Design and operate memory systems for long-running AI agents. Covers context window optimization, summarization strategies, vector-based retrieval, episodic memory, memory consolidation, and garbage collection for production agent systems.
Comprehensive guide to designing, building, and operating AI agents. Covers agent architecture, tool use patterns, memory systems, orchestration strategies, planning approaches, error recovery, and safety guardrails for production-grade agent systems.
Design and implement agent-to-agent handoff protocols for multi-agent systems. Covers context passing, escalation patterns, handshake mechanisms, conversation continuity, and routing between specialized agents in production workflows.
Monitor AI agent health, detect anomalies, set up alerting, and maintain observability dashboards for production multi-agent systems. Covers liveness checks, performance metrics, drift detection, and incident response.
Manage prompt versions, run A/B tests across agent prompts, track performance regressions, and safely roll out prompt changes in production. Covers prompt diffing, semantic versioning, canary releases, and automated evaluation.
Capture high-fidelity screenshots of any website using Playwright — supports custom viewports, dark/light mode, mobile/tablet/desktop presets, split-screen, element-based capture by CSS selector, and text-based area capture. Integrates with Telegram or any output channel for delivery.
Configure RouterBase as an OpenAI compatible model gateway for AI apps, with routing, fallback, media generation, and credential handling patterns.
Master the art and science of crafting effective prompts for large language models. Covers foundational patterns, advanced techniques like chain-of-thought and role prompting, structured output formats, and practical strategies for iterative refinement.
Automated daily tech briefing — multi-source collection → knowledge-base deduplication → AI summarization → TTS speech synthesis, generating MP3 audio briefings
Master shell scripting best practices, error handling, portability, debugging, and performance optimization for reliable automation scripts
EDUCATIONAL / RESEARCH ONLY — Single-account always-on Twitter/X manager driven by cookies + headless Playwright. Runs a 10-minute scheduler that drafts posts, engages with timeline/search results, and queues anything risky for Telegram human approval. Hard daily ceilings, structural prompt-injection defenses, and DM auto-reply permanently disabled. Accounts WILL be terminated — we do not encourage use.
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost optimization for production LLM deployments.
Master workflow design, n8n patterns, automation triggers, error handling, and monitoring for reliable business process automation
Service boundaries, communication patterns, event sourcing, CQRS, and distributed tracing
REST and GraphQL API design principles, versioning, error handling, and documentation patterns
JWT, OAuth2, SAML, session management, RBAC, ABAC, and MFA implementation
Design safe X/Twitter automation workflows for tweet search, reply reads, monitoring, posting, and agent-operated social media actions
CDN, Redis, in-memory cache, cache invalidation, and distributed caching patterns
Schema design, normalization, indexing, migrations, and query optimization for SQL and NoSQL
RabbitMQ, Kafka, SQS, pub/sub, competing consumers, dead letter queues, and event streaming
Async control flow, error handling, module design, streams, and production hardening
>- Assess worker classification and compliance risk for temporary event staffing in the US and Canada. Use when a user asks about W-2 vs 1099 event workers, misclassification penalties, joint-employer liability, COI requirements, or wage/hour rules for event staff. Includes live state-by-state lookups via the TempGuru MCP server.
Python best practices including type hints, async patterns, testing, and project structure
Lambda, cold starts, event-driven design, API Gateway, and serverless frameworks
>- Order W-2 compliant temporary event staff for conventions, trade shows, festivals, concerts, sporting events, and brand activations in 300+ US and Canadian markets. Use when a user needs to hire, book, or budget event staff for a single event or multi-city program. Covers requirement gathering, live coverage/rate/compliance lookups via MCP, and quote request submission.
>- A comprehensive skill for mastering negotiation — from preparation and frameworks to tactics, multi-party dynamics, and closing. Covers salary negotiation, buyer vs seller dynamics, remote negotiation, and more.
>- A comprehensive skill for building and scaling startups — covering lean methodology, product-market fit, growth frameworks, fundraising strategy, team building, and common pitfalls that kill young companies.
Skills assessment, career frameworks, OKRs, mentorship, board of directors, and career pivots
Profile optimization, content strategy, networking, thought leadership, and personal branding
Market research, compensation benchmarking, BATNA, total comp analysis, and offer evaluation
A content multiplication engine that transforms a single piece of content into multiple formats across channels — blog posts into Twitter threads, LinkedIn posts, email newsletters, Instagram carousels, and more. Maximizes ROI on every idea you create.
ATS optimization, achievement frameworks (STAR, CAR), formatting, tailoring, and portfolio presentation
Behavioral frameworks, technical interview patterns, system design, coding, and negotiation prep
A structured reasoning assistant that helps you make clear, confident decisions using proven frameworks — Pros/Cons, Decision Matrix (Pugh Matrix), Weighted Scoring, Pre-mortem, and Opportunity Cost Analysis.
A structured reflection engine that generates daily standup prompts, journaling questions, and weekly retrospectives for solopreneurs, freelancers, and remote teams. Helps build momentum, surface blockers, and track progress without the overhead of a manager.
Answers built from the skills we actually parsed.