codebase-rehab
Phased maintainability migration that transforms messy, overgrown, or slop-prone repos into product-shaped codebases while preserving behavior. Covers file splitting, typed boundaries, test hardening, feature folders, API consolidation, and a final migration audit microsite. Use when the user asks to "rehab this codebase", "run a maintainability migration", "modernize structure", "clean up this messy repo and make it maintainable", or "productionize this prototype". Unlike codebase-sweep (parallel quick audit), this is a deep, staged refactor with migration planning and checkpoint commits. Do not use for security audits, observability, compliance, or SRE work.
What this skill does
# Antislop Codebase Use this skill to move a repo from "works but hurts" to a product-shaped cluster of small, typed, tested, maintainable modules while keeping the current product essentially as-is. Treat this as the first maintainability/productization pass, not the broader production-readiness program. ## Boundary This skill is for structural maintainability: code organization, typed boundaries, tests, feature folders, API consolidation, file-size reduction, styling cleanup, and audit evidence. Do not expand the scope into a full production-readiness initiative. Observability/logging programs, security reviews, compliance, incident response, SLOs, runbooks, secrets posture, penetration testing, and deep reliability engineering belong in separate follow-on skills unless the user explicitly asks to include a small enabling change. ## Operating Principles - Preserve behavior first. Improve architecture in thin, reversible slices. - Ground every decision in repo facts: file sizes, dependency graph, tests, runtime shape, API surfaces, user workflows, deployment limits, and current dirty worktree. - Keep files AI-editable: prefer focused modules under roughly 300-500 lines, explicit feature folders, stable compatibility barrels, and narrow tests. - Never rewrite active user-owned areas without permission. If other agents/users are editing a surface, audit or work around it. - Use concurrent subagents for independent analysis or isolated edit slices when available, but merge with one owner who validates the whole tree. - Commit at green checkpoints. Do not let a migration become a giant unreviewable diff. - End with evidence: a migration audit microsite served locally, with visuals, metrics, risks, and before/after interpretation. ## Workflow ### 1. Establish The Product Shape Run a quick non-mutating discovery pass before planning: - Find package scripts, app entrypoints, API routes, deployment config, test harnesses, type config, and current git status. - Measure largest files and top directories. - Identify user-critical workflows, deployment constraints, data persistence, auth, provider integrations, and expensive operations only insofar as they affect safe refactoring. - Read recent commits and docs to avoid undoing active work. If the repo is live or user-facing, default to compatibility-preserving migrations and rollback paths. For deeper discovery prompts and commands, see [analysis-checklist.md](references/analysis-checklist.md). ### 2. Write A Decision-Complete Migration Plan Produce a plan that can evolve, but is complete enough for another agent to execute: - Goal, success criteria, explicit non-goals, active no-touch areas, and risk posture. - Staged slices ordered by blast radius and verification confidence. - Public interfaces and compatibility promises. - Test plan: current baseline, new tests needed, e2e/visual checks, deploy smokes. - Concurrency map: which workers can edit independently and which files are single-owner. - Checkpoint policy: when to commit, push, deploy, and audit. Use `AskUserQuestion` only for product tradeoffs that cannot be discovered from the repo. ### 3. Build The Baseline Safety Net Before broad edits: - Run existing typecheck, unit tests, build, and e2e if practical. - If tests are missing, add or plan the smallest high-value characterization tests before refactoring behavior. - Add only minimal diagnostics or recoverable error handling needed to make the refactor safe; defer comprehensive logging/observability programs to a separate production-readiness skill. - Capture screenshots for core UX surfaces; for browser e2e, visually inspect mobile, desktop, tablet, and ultrawide output when practical. ### 4. Execute In Green Slices Process the migration methodically: - Split largest and hottest files first, preserving old import surfaces through barrels/facades. - Extract pure models/helpers before UI shells. - Convert untyped or ad hoc boundaries to shared domain types and runtime validation where API/provider data crosses a trust boundary. - Consolidate duplicated server/API functions only after response shapes are pinned by tests. - Migrate styling surface-by-surface; remove legacy selectors only after screenshot checks. - Keep each slice small enough to test, review, and revert. Use up to the user-approved subagent concurrency. Assign workers to independent surfaces such as tests, CSS, server helpers, frontend feature extraction, type boundaries, and audit tooling. Do not let subagents edit the same hot files concurrently. For execution rules and worker prompts, see [execution-playbook.md](references/execution-playbook.md). ### 5. Validate, Commit, Deploy At each checkpoint: - Run the narrow tests for the touched surface. - Run broader typecheck/build/unit tests before committing. - Run e2e/visual smoke before deploy when UI or production flows changed. - Commit only the intended files; preserve unrelated dirty user work. - Deploy only when the agreed release gate is green, or explicitly mark a known-risk release. ### 6. Finish With A Migration Audit Microsite When the migration is stable, generate a static HTML audit microsite that answers: - Did maintainability improve? - How many LOC/files were added/removed? - Which file sizes collapsed? - How did the structure evolve? - What changed in tests, types, API functions, deployment risk, and UX coverage? - What costs and risks remain? Serve the microsite locally and return a clickable `localhost` or `127.0.0.1` URL. Use [audit-microsite.md](references/audit-microsite.md) for metrics, structure, and validation. ## Quality Bar A successful antislop migration has: - No giant ownership-free files in hot paths. - Clear feature/provider/domain folders. - Typed module boundaries for frontend/backend/API/provider data. - Tests that carry their weight and can be run narrowly. - Production-shaped local/dev deploy checks. - A final audit artifact that is honest about wins, costs, and residual risks.
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.