Loading...
Loading...
Found 144 Skills
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
Writes detailed video scripts for Remotion based on input requirements and codebase analysis
General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. Use when you need to perform comprehensive searches across codebase, find files that are not obvious in first few searches, or execute multi-step tasks requiring multiple tools and approaches.
Use when creating or editing a README.md file in any project or package. Recursively parses codebase from README location, suggests changes based on missing or changed functionality, and generates thorough, human-sounding documentation with copy-pasteable code blocks and practical examples.
Extract project-specific coding rules and domain knowledge from existing codebase, generating markdown documentation for AI agents.
Use when you need to plan technical solutions that are scalable, secure, and maintainable.
Generate project documentation from codebase analysis — ARCHITECTURE.md, API_ENDPOINTS.md, DATABASE_SCHEMA.md. Reads source code, schema files, routes, and config to produce accurate, structured docs. Use when starting a project, onboarding contributors, or when docs are missing or stale. Triggers: 'generate docs', 'document architecture', 'create api docs', 'document schema', 'project documentation', 'write architecture doc'.
Analyze implementation details, trace data flow, and explain technical workings with precise file:line references. Use when you need to understand HOW code works.
Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Trigger when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.
Analyzes codebases to generate comprehensive documentation including structure, languages, frameworks, dependencies, design patterns, and technical debt. Use when user says "analyze repository", "understand codebase", "document project", or when exploring unfamiliar code.
Generate DeepWiki-style source code documentation for local codebases, transforming engineering experience into reusable cognitive structures
Analyze an existing codebase with parallel mapper agents, creating codebase documentation, understanding brownfield projects, or mapping code structure. Triggers include "map codebase", "analyze codebase", "create project context", "document codebase", "understand code", and "codebase map".