Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
147 skills found
Comprehensive AI-generated text detection framework. Features multi-layer analysis of vocabulary, structural patterns, model-specific fingerprints, and technical metadata artifacts to identify AI authorship.
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.
Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.
Deploy specialized AI swarms to perform comprehensive, multi-domain GitHub pull request reviews covering security, performance, architecture, and style.
Drafts LaTeX research papers section-by-section using paper plans and research narratives with multi-model reviewer validation.
Conduct automated code reviews for local changes or remote GitHub Pull Requests. It analyzes code for correctness, maintainability, and standards using git and gh CLI integration.
Fetch and analyze current trending programming models from OpenRouter. Ideal for selecting models for reviews, optimizing AI costs, and staying updated on AI coding trends with real-time pricing and context window data.
End-to-end autonomous research agent: from idea generation and literature review to experiment execution, adversarial review loops, and paper writing.
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.