exploring-rust-crates
Generate and view Rust documentation for crates within the HASH workspace to analyze APIs, module structures, and component relationships.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
527 skills found
Generate and view Rust documentation for crates within the HASH workspace to analyze APIs, module structures, and component relationships.
Automated setup and configuration of Model Context Protocol (MCP) servers for Claude Code to enable seamless integration with external databases, APIs, and file systems.
Creates detailed, step-by-step TDD implementation plans for software development tasks.
Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.
Safely refactor code to improve structure and maintainability while preserving behavior through TDD cycles and automated test verification.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Implement interactive, step-by-step user input workflows within software agents using the AskUserQuestion tool for guided decision-making and configuration.
A unified Solana development skill hub featuring multi-agent orchestration, progressive skill loading, and deep integrations for Anchor, Token-2022, DeFi protocols, and security auditing.
Retrieve real-time library documentation, code examples, and technical guidance using the Context7 API for frameworks like React, FastAPI, and Next.js.
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.