Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
164 skills found
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.
Claude Code as an architect: delegate all coding and file edits to the Gemini CLI while maintaining control through planning, verification, and oversight.
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Transform passive learning content like transcripts and tutorials into actionable Ship-Learn-Next cycles with concrete implementation plans and progress-oriented quests.
Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.
A persistent, adaptive coaching assistant that analyzes your Claude Code session history to recommend personalized skills and improve your AI collaboration patterns.
Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.
Guided, systematic feature development agent that orchestrates codebase exploration, architectural design, implementation, and automated testing.
Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.
A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.