executing-plans
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
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493 skills found
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Comprehensive code quality validation for LibrAgent, covering TypeScript frontend and Rust/Tauri backend via automated linting, formatting, type checking, and build verification.
Advanced Gemini-powered web search plugin with smart caching, subagent context isolation, and automated query optimization.
Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to prevent context window bloat from tool definitions. Use for Zapier, GitHub, sequential thinking, and file operations.
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
Standardize git remote configuration and issue tracking for contributors working with forked repositories in the libuipc project.
Production-grade FFmpeg automation for video and audio processing, including trimming, concatenation, format conversion, codec optimization, and filter application.
Design modular TypeScript libraries using HexDI principles: compile-time dependency validation, feature-first organization, and clean API boundaries.
Build high-performance Solana apps with MagicBlock Ephemeral Rollups: sub-10ms latency, gasless transactions, and seamless integration for games and HFT.
Apply Holistic Testing with PACT (Proactive, Autonomous, Collaborative, Targeted) principles to build quality into team culture and test strategies for modern software systems.
Quick reference for pipe and flow in fp-ts. Use to chain functions, compose operations, or build clean, readable data pipelines in functional TypeScript code.