Claude Code for Knip Dead Code Finder Workflow

Dead code accumulates in every growing codebase—unused exports, obsolete dependencies, abandoned files, and TypeScript declarations that no longer serve any purpose. Left unchecked, this technical debt slows down CI pipelines, bloats bundle sizes, and creates confusion for developers navigating the codebase. Knip, the dead code finder for JavaScript and TypeScript projects, detects these issues systematically. When combined with Claude Code’s agentic capabilities, you get an automated workflow that not only finds dead code but helps you safely remove it.

What Knip Detects

Knip scans your project for several categories of unused code:

Unused exports: Functions, classes, or variables exported but never imported elsewhere
Unused files: Source files not referenced by any entry point
Unused dependencies: Packages in package.json that aren’t actually used in your code
Unused peer dependencies: Peer dependencies not consumed by any package
Type-only issues: TypeScript types and interfaces without consumers

Knip supports most JavaScript and TypeScript ecosystems including npm, yarn, pnpm, monorepos, and popular frameworks like React, Next.js, and Jest.

Setting Up Knip in Your Project

First, install Knip as a development dependency:

npm install --save-dev knip

Add a Knip configuration to your package.json or create a dedicated knip.jsonc file. Here’s a typical configuration for a TypeScript project:

{
  "$schema": "https://unpkg.com/knip@5/schema.json",
  "entry": ["src/index.ts", "src/**/*.ts"],
  "project": ["**/*.ts", "**/*.tsx"],
  "ignore": ["**/*.test.ts", "**/*.spec.ts"],
  "ignoreDependencies": ["@types/node"]
}

Run Knip manually to see what it finds:

npx knip

The output shows issues organized by severity and type, with clear indicators of what can be safely removed.

Creating a Claude Code Skill for Knip

You can create a dedicated Claude Code skill that encapsulates the Knip workflow. This skill will run Knip analysis and help you address the findings. Here’s a skill that integrates Knip into your Claude Code sessions:

---
name: knip
description: Run Knip dead code finder to detect unused code, exports, and dependencies
---

# Knip Dead Code Finder

This skill runs Knip analysis on your project and helps you address identified issues.

## Running Knip Analysis

When you invoke this skill, Knip will scan your project for:
- Unused exports and public APIs
- Unused files
- Unused dependencies
- Unused peer dependencies
- Type-only code with no consumers

Run the analysis with: `npx knip`

After reviewing the output, identify safe-to-remove items and proceed with cleanup.

Integrating Knip Into Your Development Workflow

The real power emerges when you integrate Knip into regular development cycles. Here are practical approaches:

Pre-Commit Checks

Run Knip before commits to prevent dead code from entering the repository:

npx knip --strict

The --strict flag causes Knip to exit with an error code if it finds any issues, blocking commits that introduce unused code.

CI/CD Integration

Add Knip to your CI pipeline for automated detection:

# .github/workflows/knip.yml
name: Knip Check
on: [push, pull_request]
jobs:
  knip:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - run: npm ci
      - run: npx knip

This ensures dead code is caught during code review rather than accumulating silently.

Automated Cleanup with Claude Code

Once Knip identifies issues, Claude Code can help address them systematically. For unused exports, Claude Code can:

Analyze import statements across your codebase to verify true non-usage
Remove the unused export from its source file
Check if any dynamic imports or反射 usage might be affected
Run your test suite to confirm nothing broke

For unused dependencies, Claude Code can:

Remove the package from package.json
Run npm install to update lock files
Execute your test suite to verify nothing depends on the removed package

Practical Example: Cleaning Up a React Project

Consider a React project where Knip reports an unused component:

src/components/UnusedButton.tsx
- Unused export: UnusedButton

Here’s how the workflow proceeds:

Run Knip: npx knip confirms the unused component
Verify usage: Claude Code searches for any imports of UnusedButton
Confirm safe removal: No imports found after thorough search
Remove file: Delete the unused component file
Run tests: Execute test suite to ensure no breakage

For unused dependencies like an old UI library:

Dependencies:
- @old-ui-library (not used)

Claude Code can:

Remove @old-ui-library from package.json
Search the codebase for any remaining imports
If none found, commit the dependency removal

Best Practices for Knip Workflows

Follow these guidelines for effective dead code management:

Start Conservative

Begin with a lenient configuration that only catches obvious issues:

{
  "entry": ["src/index.ts"],
  "project": ["src/**/*.ts"],
  "ignore": ["src/**/*.test.ts"]
}

Gradually tighten the configuration as your confidence grows.

Review Before Removal

Always verify Knip’s findings before deleting code. Some “unused” exports might be consumed dynamically or by external tools. Claude Code’s search capabilities help validate each finding.

Prioritize Dependencies First

Unused dependencies are the highest-impact cleanup—they directly affect install times and bundle size. Address those before diving into internal dead code.

Make It Routine

Run Knip regularly (ideally on every commit or daily) rather than attempting massive cleanup sessions. Small, incremental removals are safer and easier to review.

Track Progress

Document your cleanup efforts in a CHANGELOG or dedicated notes. This helps team members understand why code disappeared and provides context for future debugging.

Conclusion

Knip combined with Claude Code creates a powerful dead code detection and removal workflow. The integration brings several key advantages: automated scanning during development, intelligent verification before deletion, and systematic cleanup that minimizes risk. By establishing this workflow early in your project and running it consistently, you maintain a cleaner codebase that stays maintainable as it grows. The time invested in setting up this workflow pays dividends through faster builds, smaller bundles, and easier code navigation for your entire team.

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