found 1140 skills in registry
Transcribe audio to text with OpenAI Whisper. Use when a user asks to transcribe audio files, generate subtitles (SRT/VTT), transcribe podcasts, convert speech to text, translate audio to English, build transcription pipelines, do speaker diarization, transcribe meetings, process voice memos, create searchable audio archives, or integrate speech-to-text into applications. Covers OpenAI Whisper (local), Whisper API, faster-whisper, whisper.cpp, and production deployment patterns.
Flask is a lightweight Python micro web framework that provides the essentials for web development without imposing structure. It uses Jinja2 templates and Werkzeug WSGI toolkit, with a rich ecosystem of extensions for databases, auth, and more.
Deploy and manage applications, databases, and services on Coolify. Use when a user asks to deploy an app to Coolify, manage Coolify deployments, check deployment logs, sync environment variables, create or manage databases on Coolify, trigger a deployment, manage Coolify servers, or troubleshoot Coolify issues. Covers the Coolify CLI and REST API. For infrastructure provisioning on Hetzner, see hetzner-cloud.
You are an expert in Knex.js, the flexible SQL query builder for Node.js that supports PostgreSQL, MySQL, SQLite, and MSSQL. You help developers write type-safe queries with a chainable API, manage database migrations and seeds, build complex joins and subqueries, and use transactions — providing direct SQL control without the overhead of a full ORM.
Product analytics with Mixpanel — event tracking, funnels, retention analysis, user segmentation, and A/B testing. Covers JavaScript SDK for frontend tracking, server-side tracking with Node.js and Python, identity management, group analytics, and the Query API. Use when tasks involve tracking user behavior in web or mobile apps, building conversion funnels, analyzing retention curves, or running experiments.
You are an expert in Vitest, the Vite-native testing framework. You help developers write and run unit tests, integration tests, and component tests with native TypeScript support, Jest-compatible API, built-in mocking, code coverage, snapshot testing, and watch mode — leveraging Vite's transform pipeline for instant test execution without separate compilation.
Manipulate colors with chroma.js — convert between color spaces (RGB, HSL, LAB, LCH), generate palettes and scales, mix and blend colors, check contrast ratios, and build accessible color systems. Use when tasks involve creating color palettes, theming, accessibility checks, or data visualization color scales.
You are an expert in Clay, the data enrichment and outbound sales platform that pulls from 75+ data providers to build rich prospect profiles. You help teams automate lead discovery, enrich contacts with firmographic and technographic data, score leads against ICP criteria, and trigger personalized outreach sequences — replacing manual research with automated, data-driven prospecting.
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Manage database migrations with Alembic. Use when a user asks to version database schemas, create migration scripts, handle schema changes in production, or manage SQLAlchemy model migrations.
Generate professional data reports with charts, tables, and visualizations. Use when a user asks to create a report, generate a data report, build a dashboard report, produce a PDF report with charts, create an executive summary, or generate a weekly/monthly report from data.
Coordinate multiple AI agents working together on complex tasks — routing, handoffs, consensus, memory sharing, and quality gates. Use when tasks involve building multi-agent systems, coordinating specialist agents in a pipeline, implementing agent-to-agent communication, designing swarm architectures, setting up agent orchestration frameworks, or building autonomous agent teams with supervision and quality control. Covers hierarchical, mesh, and pipeline topologies.
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember things". Covers file-based memory (MEMORY.md), SQLite with embeddings, vector databases (ChromaDB, Pinecone), semantic search, memory consolidation, and automatic context injection.
Non-testing browser automation - web scraping, form filling, screenshot capture, PDF generation, workflow automation. For TESTING with Playwright, use e2e-playwright skill instead. Activates for web scraping, form automation, screenshot, PDF, headless browser, Puppeteer, Selenium, automation scripts, data extraction.
Create beautiful developer documentation with Mintlify — AI-powered docs platform. Use when someone asks to "create documentation site", "Mintlify", "developer docs", "API documentation", "beautiful docs like Stripe", or "documentation platform with AI search". Covers page creation, API reference generation, components, analytics, and AI chat.
Store and retrieve files on IPFS (InterPlanetary File System). Use when a user asks to store files in a decentralized way, pin content on IPFS, upload NFT metadata, or use content-addressed storage.
You are an expert in BrowserBase, the cloud platform for running headless browsers at scale. You help developers deploy browser-based automations, AI agents, and web scraping pipelines using managed Chromium instances with residential proxies, session recording, stealth mode, and parallel execution — without managing browser infrastructure.
You are an expert in Traceloop and its OpenLLMetry SDK, the open-source observability framework that extends OpenTelemetry for LLM applications. You help developers instrument AI pipelines with automatic tracing for OpenAI, Anthropic, Cohere, LangChain, LlamaIndex, vector databases, and frameworks — exporting to any OpenTelemetry-compatible backend (Grafana Tempo, Jaeger, Datadog, Honeycomb, Traceloop Cloud).
Use when ANY question involves Apple framework APIs, Swift compiler errors, or Xcode-bundled documentation. Covers Liquid Glass, Swift 6.2 concurrency, Foundation Models, SwiftData, StoreKit, 32 Swift compiler diagnostics.
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.