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Maintainable Web Code Handbook
Turns messy TypeScript, React, and Node code into readable, testable, low-refactor-risk code with concrete, review-ready rules.
Free
Maintainable Web Code Handbook
Example session with this skill installed
Refactor src/features/checkout in our React + Node repo before Friday's release. CheckoutPage.tsx is 420 lines and does fetching, validation, and analytics at once; the order API returns inconsistent error shapes; and there are any types all over api/checkout-client.ts. Apply our maintainability standards: split the component into focused pieces, move reusable logic into hooks, add zod validation at the route boundary, introduce structured errors mapped to HTTP codes, and make response shapes consistent everywhere. List every file you touched, report before/after metrics, and flag anything you would defer to a follow-up PR.
- Read your context and instructions
- Compiled the maintainable web code
- Generated the UI component
Summary
Reviewed 11 files in src/features/checkout and the order API route, applying the maintainability rules: split the 420-line mega-component, narrowed loose types, validated inputs at the edge, and standardized error handling.
| Metric | Before | After |
|---|---|---|
| Largest component | CheckoutPage.tsx, 420 lines | 3 focused components, max 95 lines |
any usages | 14 in checkout-client.ts | 0 (zod schemas, unknown at the edge) |
| Error shapes | 4 ad-hoc formats | { error: { code, message } } everywhere |
| Awaits in create flow | 3 sequential | 1 Promise.all (parallel, ~380ms saved) |
| Silent failures | 2 bare catches | NotFoundError / ValidationError mapped to 404/422 |
Files touched: CheckoutPage.tsx, useCheckoutFlow.ts (new), PaymentForm.tsx, api/checkout-client.ts, server/routes/orders.ts, server/errors.ts (new).
Next steps
- Add unit tests for
useCheckoutFlowstate transitions. - Migrate
features/accountsto the same slice pattern. - Replace offset pagination on
/api/orderswith cursor pagination.
CheckoutPage.tsx
TSX · React component
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About this skill
Stop fighting technical debt and unreadable PRs. This skill enforces a practical standard for TypeScript, React, and Node.js codebases that prioritizes long-term maintainability over clever abstractions. It helps you build systems where data contracts are validated at the boundaries, errors are structured, and components have clear responsibilities.
What it does
- Refactors messy logic by applying guard clauses, discriminated unions, and pipeline patterns to simplify complex functions.
- Enforces data integrity using Zod-style validation at API and environment boundaries to catch runtime errors early.
- Optimizes React architecture by deriving state, extracting custom hooks, and ensuring effects have proper cleanup and stable dependencies.
- Standardizes API design using resource-based routing, consistent response shapes, and cursor-based pagination.
- Improves testability by decoupling service logic from transport layers and focusing on behavior-driven assertions.
How it works
- Analyze: Provide a code snippet, component, or API route for a maintainability audit.
- Refactor: Request specific improvements like "narrow these types" or "separate transport from service logic."
- Review: Use the built-in checklist to evaluate a pull request for naming clarity, error handling, and state ownership.
Frameworks & tools
Primary support for TypeScript and JavaScript. Optimized for React, Node.js, Zod, and RESTful API patterns. Works with standard testing libraries like Jest or Vitest.
Why this beats prompting it yourself
Generic prompts often suggest "clean code" that is too abstract or overly academic. This skill uses concrete, production-tested rules specifically tuned for the intersection of frontend UIs and backend services.
Use cases
- Refactoring a bloated React component that handles too much local state and side effects.
- Designing a new Node.js service layer that needs to be independent of its HTTP entry points.
- Hardening an API endpoint with proper input validation and structured error responses.
- Performing a high-signal code review focused on readability and refactor-risk.
Known limitations
Does not provide mass formatting or linting fixes. Focuses on architectural and logical patterns rather than CSS or aesthetic design.
Guidance only: it does not run your test suite or linter, so mechanical enforcement still needs your own tooling. Examples assume a modern stack (React hooks, zod, Fetch API) and may need adapting for older codebases.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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File Scopes
Read and write access to source files is needed so the agent can review, refactor, and restructure TypeScript/JavaScript code in your repository.