Loading...
Loading...
Found 1,577 Skills
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates"
Use when building a thread-safe data persistence layer in Swift using actors with in-memory cache and file storage.
Self-contained deploy automation — invoke directly, do not decompose. Deploys a Vibes app to Cloudflare Workers with subdomain registry. Uses KV for storage and native Web Crypto for JWT verification.
Test coverage, code quality, defect metrics, and QA KPIs
Staff-level codebase health review. Finds monolithic modules, silent failures, type safety gaps, test coverage holes, and LLM-friendliness issues.
Python testing mastery with pytest, fixtures, parametrize, mocking, and coverage. Use when user asks to "write tests", "add pytest fixtures", "mock a function", "parametrize tests", "run coverage", "debug failing test", "set up conftest", or any Python testing tasks.
Configure Lakebase for agent memory storage. Use when: (1) Adding memory capabilities to the agent, (2) 'Failed to connect to Lakebase' errors, (3) Permission errors on checkpoint/store tables, (4) User says 'lakebase', 'memory setup', or 'add memory'.
Gas optimization patterns for Solidity smart contracts. Use when optimizing contract deployment costs, runtime gas usage, or storage efficiency. Covers storage packing, custom errors, immutable variables, calldata optimization, loop patterns, assembly usage, and Solady gas-optimized alternatives. Triggers on tasks involving gas optimization, storage layout, deployment cost reduction, or EVM efficiency.
Coordinate AI agent teams via a Kanban task board with local JSON storage. Enables multi-agent workflows with a Team Lead assigning work and Worker Agents executing tasks via heartbeat polling. Perfect for building AI agent command centers.
Generate comprehensive Go integration tests using testify suite patterns with real database and infrastructure dependencies. Use when creating or updating integration test files, testing use cases against real databases, verifying end-to-end flows, or when asked to add integration test coverage for Go code.
Analyze and optimize pytest suites to improve speed, identify flaky tests, and increase coverage. Use to maintain high-quality, fast-running test pipelines.
Specialized in the `keyv-file` adapter for Keyv. Use this when the user needs persistent file-based storage with features like batch writing (writeDelay), TTL management (expiredCheckDelay), and the `makeField` API for direct access.