Documentation Builder
Generates comprehensive API references, user manuals, and architectural system documentation directly from your codebase and technical specifications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
267 skills found
Generates comprehensive API references, user manuals, and architectural system documentation directly from your codebase and technical specifications.
Automated generation of project documentation from codebase analysis, ensuring accuracy, consistency, and alignment with VilnaCRM architecture patterns.
Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.
Expert guide for WebGL 1.0/2.0 development: shaders (GLSL), 3D graphics, GPU programming, rendering pipelines, buffers, and performance optimization for web canvas.
A secure Git commit workflow agent that prevents accidental mass commits and promotes surgical, file-specific staging and semantic commits.
Analyze meeting transcripts to uncover behavioral patterns, communication insights, and leadership feedback. Identify conflict avoidance, filler words, speaking ratios, and active listening to improve your professional presence.
Generates GitHub-compatible Mermaid diagrams with tested color palettes, local SVG/PNG preview, and gist-based rendering support.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Strategic leadership toolkit for Heads of Product. Generate OKR cascades, conduct quarterly planning, perform competitive analysis, define product vision, and build team scaling proposals.
Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.