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Found 172 Skills
Systematic refactoring of codebase components through a structured 3-phase process. Use when asked to refactor, restructure, or improve specific components, modules, or areas of code. Produces research documentation, change proposals with code samples, and test plans. Triggers on requests like "refactor the authentication module", "restructure the data layer", "improve the API handlers", or "clean up the payment service".
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
This skill should be used when agents need to search codebases for text patterns or structural code patterns. Provides fast search using ripgrep for text and ast-grep for syntax-aware code search.
Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.
Generate architecture diagrams as .excalidraw files from codebase analysis, with optional PNG/SVG export. Use when the user asks to create architecture diagrams, system diagrams, data flow diagrams, parameter threading traces, call chain visualizations, visualize codebase structure, generate excalidraw files, export excalidraw diagrams to PNG or SVG, or convert .excalidraw files to image formats.
Codebase analysis tool for quality-first editing. Scan before edit to understand relationships, patterns, and impact.
Generate OpenAPI documentation from source code. Analyzes repository to automatically discover API endpoints and create swagger.json and interactive HTML documentation. Use when generating API docs, creating OpenAPI specs, documenting REST APIs, or analyzing API endpoints.
Analyze implementation details, trace data flow, and explain technical workings with precise file:line references. Use when you need to understand HOW code works.
[Hyper] Create or refactor a project README.md by carefully reading the codebase. Detects project shape (CLI, library, web app, monorepo, plugin, framework, docs site, service), entry points, scripts, configuration, license, and existing docs, then produces a structured README in the project's primary documentation language. Use when the user wants a new README, a refactor of a stale README, or a section update grounded in the actual code.
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.
This skill should be used when the user wants to identify the single highest-impact improvement to make to their project. Triggers on requests like "what should I build next", "innovate", "best improvement", "next big thing", or when seeking the most compelling addition to a codebase.
Set up state-of-the-art context engineering for any repository. Analyzes codebase, generates multi-level CLAUDE.md/AGENTS.md hierarchy, hooks, session management, and token budgets. Based on 200+ sources including ETH Zurich, Anthropic, Google DeepMind, and Manus production data. For engineers who ship with AI agents.