reviewing-code
Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
545 skills found
Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.
Initializes a development session with environmental health checks, task status synchronization, and contextual memory restoration for Claude Code.
Orchestrate complex multi-agent swarms with topologies like mesh, hierarchical, and star for research, development, and testing workflows.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
An AI-powered sales assistant that transforms business scenarios into optimized prompts, automatically generating high-quality emails, proposals, and analysis reports without requiring prompt engineering skills.
Automated generation of project documentation from codebase analysis, ensuring accuracy, consistency, and alignment with VilnaCRM architecture patterns.
Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.
Extract and document authentic writing voice from samples. Create comprehensive voice guides for AI training, ghostwriting, and brand consistency.
Summon framework expert: assisting with Kotlin Multiplatform UI development, type-safe modifiers, state management, routing, and SSR for web and JVM applications.
Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.
Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.