Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
444 skills found
Enforces a strict evidence-before-assertion protocol for coding agents, requiring fresh command-line verification output before any claim of completion, success, or bug fixes.
Standards and patterns for professional documentation architecture, covering content hierarchy, scannable page design, navigation strategies, and quality checklists for AI-driven technical writing.
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
Automated end-to-end test generation using Playwright. Converts user workflows into functional test specs by interactively executing actions and following project conventions.
Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.
Expert systematic test design using BVA, equivalence partitioning, decision tables, and combinatorial testing to maximize coverage and minimize redundancy.
Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.