rust-analyzer-lsp
Rust language server (rust-analyzer) providing code intelligence, real-time diagnostics, and refactoring support for .rs projects.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
255 skills found
Rust language server (rust-analyzer) providing code intelligence, real-time diagnostics, and refactoring support for .rs projects.
Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.
Comprehensive Test Driven Development (TDD) assistant for engineering teams, featuring intelligent test generation, coverage analysis, and multi-framework support.
Discover and install agent skills to extend your DeerFlow capabilities. Use this to find tools, workflows, or specialized knowledge for tasks like coding, testing, and deployment.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows within the Ruflo/Claude Flow ecosystem.
An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Enriches vague prompts by performing codebase research and asking targeted questions to clarify user intent before execution.