deepwiki-rs
AI-powered documentation engine that automatically generates C4 architecture diagrams, technical specs, and codebase analysis from any source code directory.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
268 skills found
AI-powered documentation engine that automatically generates C4 architecture diagrams, technical specs, and codebase analysis from any source code directory.
A testing fixture for validating AI agent skill configurations and detecting rule violations.
Systematic security assessment using STRIDE threat modeling, OWASP top 10 review, and secure coding practices for code, architecture, and infrastructure.
Automated security auditing for Flutter applications based on OWASP Mobile Top 10 (2024). Perform vulnerability scans for hardcoded secrets, insecure storage, dependency risks, and network configuration issues.
Technical SEO audit skill for crawlability, indexability, and Core Web Vitals analysis. Use to audit webpages, validate schema, and fix technical performance issues.
Automate your entire Git lifecycle from commit and PR creation to CI monitoring and branch merging, enforcing conventional commits throughout.
Leverage the Figma MCP server to fetch design data, extract assets, and transform Figma nodes into production-ready React and Tailwind code with design system alignment.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
Meta-skill for structured, multi-depth codebase exploration including architectural analysis, fast structural overviews, and deep-dive documentation workflows.
A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.
Autonomous iteration loop for AI software development. Executes tasks, validates code, and manages state until completion. Ideal for implementing complex PRP plans.
Validates Claude Code plugins against architectural standards, checking manifest files, frontmatter, and tool invocation patterns to ensure high-quality, compliant plugin development.