A reasoning pattern for diagnosing and fixing bugs that span multiple abstraction layers in complex systems.
Expert in writing, debugging, and explaining regular expressions. Covers readable regex patterns, performance optimization, debugging techniques, and knowing when NOT to use regex. Understands...
Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use,...
Spawn Agentica multi-agent patterns
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
Comprehensive expertise for working with Microsoft's GenAIScript framework - a JavaScript/TypeScript-based system for building automatable LLM prompts and AI workflows. Use when creating,...
Generate PhD-level expert agent prompts for Claude Code. Creates comprehensive 500-1000 line agents with detailed patterns, code examples, and best practices. Triggers on: spawn agent, create...
Use when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke for browser automation, E2E tests, Page Object Model, test flakiness, visual testing.
Official Cohere cookbooks and tutorials for production patterns. Links to RAG implementations, agent workflows, enterprise integrations, and real-world use cases from the Cohere developer...
This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal...
Add bitcoin lightning wallet capabilities to your app using Nostr Wallet Connect (NIP-47) and LNURL. Send and receive payments, handle payment notifications, fetch wallet balance and transaction...
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across eight technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment,...
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across eight technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment,...
Comprehensive skill evaluation and debugging framework for testing agent skills. Use when users need to (1) evaluate a skill's recall rate (how often it triggers correctly), (2) test a skill's...
Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation...
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases,...
Generate structured session summaries optimized for future AI agent consumption. Use when (1) ending a coding/debugging session, (2) user says "compact", "summarize session", "save context", or...
Persistent memory system for AI agents. Search and record learnings using semantic search. Perfect for remembering bug fixes, solutions, architecture decisions, implementation patterns, best...
System health check (MOT) for skills, agents, hooks, and memory
ERC-8004 Trustless Agents - Register, discover, and build reputation for AI agents on Ethereum. Use when registering agents on-chain, querying agent registries, giving/receiving reputation...