saving-codeacts
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
170 skills found
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Enforce strict UI adherence to your project's design system tokens, components, and layout patterns for consistent frontend implementation.
Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
Convert Figma designs to project-consistent UI code using TemPad Dev MCP for precise markup, styling, and token integration.
Reverse-engineering specialist for codebase analysis, dependency mapping, and specification extraction from legacy or undocumented systems.
Intelligent music genre search and recommendation assistant based on 5947 genres from RateYourMusic.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Extract and document authentic writing voice from samples. Create comprehensive voice guides for AI training, ghostwriting, and brand consistency.
An autonomous AI agent loop that executes Claude Code repeatedly to build features from structured PRDs until completion.
Implements UI components from Figma/mockups with pixel-perfect accuracy, intelligent design validation, and adaptive agent switching.
Convert diverse file formats like PDFs, Office docs, images, audio, and web content into clean Markdown, specifically optimized for LLM ingestion, RAG pipelines, and automated text analysis workflows.