found 983 skills in registry
You are an expert in Continue, the open-source AI code assistant for VS Code and JetBrains. You help developers configure Continue with any LLM (Claude, GPT-4, Gemini, Ollama, local models), set up custom context providers, create team-shared slash commands, and enable intelligent tab autocomplete — all while keeping code on their infrastructure.
Tracks complex, multi-session work using the Beads issue tracker and dependency graphs, and provides persistent memory that survives conversation compaction. Use when work spans multiple sessions, has complex dependencies, or needs persistent context across compaction cycles. Trigger with phrases like "create task for", "what's ready to work on", "show task", "track this work", "what's blocking", or "update status".
You are an expert in PGlite, the lightweight WASM Postgres build that runs in the browser, Node.js, and Deno. You help developers embed a full Postgres instance (with extensions like pgvector, PostGIS) in client-side apps, Electron, React Native, and serverless functions — providing real SQL with JSONB, full-text search, and vector similarity search at ~3MB compressed, without a server.
You are an expert in OpenTofu, the open-source fork of Terraform maintained by the Linux Foundation. You help developers and platform teams provision cloud infrastructure using HCL (HashiCorp Configuration Language), with full compatibility with existing Terraform modules, state files, and providers — plus new features like client-side state encryption, OCI registry support, and removed BSL license restrictions.
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.
Feature-rich Stable Diffusion Web UI for image generation. Supports txt2img, img2img, inpainting, outpainting, LoRA, extensions, upscaling, and batch processing. Widely used desktop interface with an extensive extension ecosystem and API access.
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.
When the user needs to build file upload functionality for a web application. Use when the user mentions "file upload," "image upload," "upload endpoint," "multipart upload," "presigned URL," "S3 upload," "file validation," "upload to cloud storage," or "accept user files." Handles upload endpoints, file validation (type, size, magic bytes), cloud storage integration, and upload status tracking. For image/video processing after upload, see media-transcoder.
Build interactive 2D canvas applications with Konva. Use when a user asks to create drawing tools, image editors, interactive graphics, drag-and-drop interfaces, or canvas-based UIs using Konva or react-konva.
Call 100+ LLM APIs with one interface using LiteLLM — unified API proxy for OpenAI, Anthropic, Google, Mistral, Cohere, and self-hosted models. Use when someone asks to "switch between LLM providers", "LiteLLM", "unified LLM API", "LLM proxy", "call Claude and GPT with the same code", "LLM load balancing", or "multi-model AI gateway". Covers provider routing, fallbacks, rate limiting, spend tracking, and self-hosted proxy.
Discover subdomains of a target domain using passive and active enumeration techniques. Use when tasks involve subdomain enumeration, attack surface mapping, DNS reconnaissance, finding hidden services, identifying forgotten subdomains, or expanding the scope of a security assessment. Subfinder uses passive sources (certificate transparency logs, DNS datasets, search engines) to find subdomains without touching the target directly.
Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI’s video API using the bundled CLI (`scripts/sora.py`), including requests like “generate AI video,” “Sora,” “video remix,” “download video/thumbnail/spritesheet,” and batch video generation; requires `OPENAI_API_KEY` and Sora API access.
Jest is a comprehensive JavaScript testing framework built by Meta, designed for zero-configuration testing of JavaScript and TypeScript applications. It provides a complete ecosystem for unit testing, integration testing, and snapshot testing with built-in code coverage, mocking capabilities, and parallel test execution. Jest works seamlessly with React, Node.js, Angular, Vue, and virtually any JavaScript project, making it the most widely adopted testing framework in the ecosystem.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug develo
Transcode, convert, edit, and process audio and video with FFmpeg. Use when a user asks to convert video formats (webm to mp4, mkv to mp4), extract audio from video, compress video files, trim or cut clips, concatenate videos, add subtitles, create thumbnails, apply filters, change resolution or bitrate, re-encode media, create GIFs from video, add watermarks, normalize audio, stream media, or build automated media processing pipelines.
You are an expert in Langtrace, the open-source observability platform for LLM applications built on OpenTelemetry. You help developers trace LLM calls, RAG pipelines, agent tool use, and chain executions with automatic instrumentation for OpenAI, Anthropic, LangChain, LlamaIndex, and 20+ providers — providing cost tracking, latency analysis, token usage, and quality evaluation in a self-hostable dashboard.
You are an expert in Mem0, the memory infrastructure for AI applications. You help developers add persistent, personalized memory to LLM-powered apps and agents — storing user preferences, conversation history, facts, and context that persists across sessions, enabling AI that remembers users, learns from interactions, and provides increasingly personalized responses.
You are an expert in MikroORM, the TypeScript ORM built on Unit of Work and Identity Map patterns. You help developers build data layers with decorator-based entities, automatic change tracking, lazy/eager loading, embeddables, query builder, migrations, and seeding — supporting PostgreSQL, MySQL, SQLite, and MongoDB with a DDD-friendly architecture.
You are an expert in Nuxt 3, the full-stack Vue framework with server-side rendering, auto-imports, file-based routing, API routes powered by Nitro, and 200+ modules. You help developers build production Vue applications with hybrid rendering (SSR/SSG/SPA per route), server components, middleware, state management with useState, data fetching with useFetch/useAsyncData, and deployment to 20+ platforms.