Loading...
Loading...
Found 2,500 Skills
Guide for building applications on Cloudflare's edge platform. Use when implementing serverless functions (Workers), edge databases (D1), storage (R2, KV), real-time apps (Durable Objects), AI features (Workers AI, AI Gateway), static sites (Pages), or any edge computing solutions.
Android security patterns for secure storage, network security, input validation, and authentication.
Guide for Grafana Pyroscope continuous profiling. Use for Kubernetes Helm deployment, Go/Java/Python/.NET/Ruby/Node.js profiling, storage backends, trace-to-profile linking, and troubleshooting.
Load PROACTIVELY when task involves writing tests, improving coverage, or test infrastructure. Use when user says "add tests", "write unit tests", "set up E2E testing", "improve coverage", or "add mocks". Covers Vitest/Jest unit tests, React Testing Library component tests, Playwright E2E tests, MSW API mocking, test organization and naming, fixture management, coverage targets and thresholds, snapshot testing, and CI integration.
Use when implementing drag and drop, copy/paste, ShareLink, or ANY content sharing between apps or views - covers Transferable protocol, TransferRepresentation types, UTType declarations, SwiftUI surfaces, and NSItemProvider bridging
Fix a specific bug or problem in the codebase. Supports two modes - immediate fix or plan-first. Without arguments executes existing FIX_PLAN.md. Always suggests test coverage and adds logging. Use when user says "fix bug", "debug this", "something is broken", or pastes an error message.
This skill should be used when auditing a codebase for AI agent readiness, or when guiding improvements to make a codebase work well with agentic coding tools. It applies when users ask to evaluate test coverage, file structure, type system usage, dev environment speed, or automated enforcement -- the five pillars that determine how effectively coding agents can operate in a project. Triggers on "audit my codebase", "make this agent-ready", "improve for AI agents", "agent-friendly", or questions about why agents struggle with a codebase.
A skill that equips you with real-time, source-grounded web search and content retrieval using the Exa API—optimized for balanced relevance and speed (type="auto") and full-text extraction for downstream reasoning, RAG, and code assistance. Powering agents with fast, high-quality web search by Exa.AI.
Manage Alibaba Cloud RDS Supabase (RDS AI Service 2025-05-07) via OpenAPI. It is used for creating, starting/stopping/restarting instances, resetting passwords, querying endpoints, authentication and storage information, configuring authentication, RAG, SSL and IP whitelist, as well as listing instance details or conversations.
Generate text embeddings and rerank documents via Together AI. Embedding models include BGE, GTE, E5, UAE families. Reranking via MixedBread reranker. Use when users need text embeddings, vector search, semantic similarity, document reranking, RAG pipeline components, or retrieval-augmented generation.
Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.
This skill should be used when the user asks to "deploy", "upload", "publish", or "pin" any files, folders, frontend projects, or static websites to IPFS. Also activates when user mentions "pinme", "IPFS", or wants to share files via decentralized storage.