Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
526 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.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.
Read, write, and manage Feishu (Lark) cloud documents. Supports markdown, block manipulation, tables, and media attachments.
A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.
Transform passive learning content like transcripts and tutorials into actionable Ship-Learn-Next cycles with concrete implementation plans and progress-oriented quests.
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Generates llms.txt and llms-full.txt files to provide LLM-friendly documentation and project context.
Automated runtime observability changelog for Claude Code development sessions, tracking file changes, test results, and git commits.
A project-specific template skill for maintaining architectural consistency, coding standards, and deployment workflows in AI-powered full-stack applications.
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Cascading goal tracking system connecting 3-year vision to daily tasks. Automates progress calculation, stalled goal detection, and project-to-goal alignment for Obsidian vaults.