Que fait improve-codebase-architecture ?
Analyse une base de code pour identifier des opportunités d'amélioration, les présente sous forme de rapport HTML visuel, puis vous accompagne en profondeur sur celle que vous choisissez.
Analyse une base de code pour identifier des opportunités d'amélioration, les présente sous forme de rapport HTML visuel, puis vous accompagne en profondeur sur celle que vous choisissez.
Cette compétence permet d'analyser la structure d'une base de code (sur GitHub, GitLab, Bitbucket ou localement) en identifiant les opportunités de refactorisation et d'amélioration architecturale. Elle génère un rapport HTML visuel interactif qui classe les problèmes par priorité et type (complexité cyclomatique, duplication de code, mauvaise séparation des responsabilités, etc.). L'utilisateur peut ensuite sélectionner n'importe quelle opportunité pour bénéficier d'une analyse guidée interactive (« grilling ») où l'IA pose des questions ciblées, propose des solutions concrètes et adapte ses recommandations en fonction du contexte du projet. Utile pour les développeurs et architectes souhaitant améliorer progressivement la maintenabilité et la qualité du code, elle s'intègre dans les workflows CI/CD et les environnements de développement. Basée sur l'analyse statique du code, elle utilise des heuristiques pour détecter les patterns problématiques et génère un rapport auto-suffisant en HTML/CSS/JS.
npx skills add https://github.com/mattpocock/skills/tree/main/skills/improve-codebase-architectureInstalled? Explore more Image skills: steipete/songsee, affaan-m/frontend-design, lobehub/add-provider-doc · View all 6 →
Analyse une base de code pour identifier des opportunités d'amélioration, les présente sous forme de rapport HTML visuel, puis vous accompagne en profondeur sur celle que vous choisissez.
This repo contains 20 individual skills — each has its own dedicated page.
Ask which skill or flow fits your situation. A router over the skills in this repo.
Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.
Hand the current conversation off to a fresh background agent that picks up the work immediately.
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.
Compact the current conversation into a handoff document for another agent to pick up.
Implement a piece of work based on a PRD or set of issues.
Implement a specification in code.
Grill me about specs for the workflows I want to build, within this workspace.
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
Search, create, and manage notes in the Obsidian vault with wikilinks and index notes. Use when user wants to find, create, or organize notes in Obsidian.
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
Use this skill when the user requests to generate, create, imagine, or visualize images including characters, scenes, products, or any visual content. Supports structured prompts and reference images for guided generation.