openapi-spec-generator
Generates OpenAPI 3.0/3.1 specs from code (FastAPI, NestJS) or design-first schemas. Includes client SDK generation, mock server setup, and support for Swagger/ReDoc/Stoplight documentation workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
355 skills found
Generates OpenAPI 3.0/3.1 specs from code (FastAPI, NestJS) or design-first schemas. Includes client SDK generation, mock server setup, and support for Swagger/ReDoc/Stoplight documentation workflows.
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.
Analyze codebases to generate evidence-grounded Loa artifacts using Enterprise-Grade Managed Scaffolding for structured reality mapping.
Specialized data engineering agent for designing ETL/ELT pipelines, defining data schemas, managing data quality, and implementing robust ingestion workflows.
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
Generate high-converting, professional README.md files for open source projects and CLI tools using a value-driven, scannable framework.
A framework for applying Test-Driven Development to process documentation, ensuring agent reliability by using pressure scenarios to identify and patch rationalization loopholes.
Analyze and audit Excel spreadsheets to understand logic, identify formula errors, detect risks, and generate documentation for legacy or unknown files.
Reliably read and extract content from publicly shared Google Docs using curl for full document retrieval.
A framework for building modular AI agent rigs using Nix, featuring parametrable skills, knowledge management, and automated tool configuration.
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.
A toolkit for writing high-quality agent skills (SKILL.md files) for ClawdHub/MoltHub, covering structure, frontmatter schemas, content patterns, and agent-consumable documentation best practices.