knip

brianlovin/agent-config · updated Jun 1, 2026

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$npx skills add https://github.com/brianlovin/agent-config --skill knip
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summary

Run knip to find and remove unused files, dependencies, and exports from this codebase.

skill.md

Knip Code Cleanup

Run knip to find and remove unused files, dependencies, and exports from this codebase.

Setup

  1. Check if knip is available:

    • Run npx knip --version to test
    • If it fails or is very slow, check if knip is in package.json devDependencies
    • If not installed locally, install with npm install -D knip (or pnpm/yarn/bun equivalent based on lockfile present)
  2. Knip does NOT remove unused imports/variables inside files — that's a linter's job. Knip finds unused files, dependencies, and exports across the project.

Workflow

Always follow this configuration-first workflow. Even for simple "run knip" or "clean up codebase" prompts, configure knip properly before acting on reported issues.

Step 1: Understand the project

  • Check what frameworks and tools the project uses (look at package.json)
  • Check if a knip config exists (knip.json, knip.jsonc, or knip key in package.json)
  • If a config exists, review it for improvements (see Configuration Best Practices below)

Step 2: Run knip and read configuration hints first

npx knip

Focus on configuration hints before anything else. These appear at the top of the output and suggest config adjustments to reduce false positives.

Step 3: Address hints by adjusting knip.json

Fix configuration hints before addressing reported issues. Common adjustments:

  • Enable/disable plugins for detected frameworks
  • Add entry patterns for non-standard entry points
  • Configure workspace settings for monorepos

Step 4: Repeat steps 2-3

Re-run knip after each config change. Repeat until configuration hints are resolved and false positives are minimized.

Step 5: Address actual issues

Once the configuration is settled, work through reported issues. Prioritize in this order:

  1. Unused files — address these first ("inbox zero" approach removes the most noise)
  2. Unused dependencies — remove from package.json
  3. Unused devDependencies — remove from package.json
  4. Unused exports — remove or mark as internal
  5. Unused types — remove, or configure ignoreExportsUsedInFile (see below)

Step 6: Re-run and repeat

Re-run knip after each batch of fixes. Removing unused files often exposes newly-unused exports and dependencies.

Configuration Best Practices

When reviewing or creating a knip config, follow these rules:

  • Never use ignore patternsignore hides real issues and should almost never be used. Always prefer specific solutions. Other ignore* options (like ignoreDependencies, ignoreExportsUsedInFile) are fine because they target specific issue types.
  • Many unused exported types? Add ignoreExportsUsedInFile: { interface: true, type: true } — this handles the common case of types only used in the same file. Prefer this over broader ignore options.
  • Remove redundant patterns — Knip already respects .gitignore, so ignoring node_modules, dist, build, .git is redundant.
  • Remove entry patterns covered by defaults — Auto-detected plugins already add standard entry points. Don't duplicate them.
  • Config files showing as unused (e.g. vite.config.ts) — Enable or disable the corresponding plugin explicitly rather than ignoring the file.
  • Dependencies matching Node.js builtins (e.g. buffer, process) — Add to ignoreDependencies.
  • Unresolved imports from path aliases — Add paths to knip config (uses tsconfig.json semantics).

Production Mode

Use --production to focus on production code only:

npx knip --production

This excludes test files, config files, and other non-production entry points. Do NOT use project or ignore patterns to exclude test files — use --production instead.

Cleanup Confidence Levels

Auto-delete (high confidence):

  • Unused exports that are clearly internal (not part of public API)
  • Unused type exports
  • Unused dependencies (remove from package.json)
  • Unused files that are clearly orphaned (not entry points, not config files)

Ask first (needs clarification):

  • Files that might be entry points or dynamically imported
  • Exports that might be part of a public API (index.ts, lib exports)
  • Dependencies that might be used via CLI or peer dependencies
  • Anything in paths like src/index, lib/, or files with "public" or "api" in the name

Use the AskUserQuestion tool to clarify before deleting these.

Auto-fix

Once configuration is settled and you're confident in the results:

# Auto-fix safe changes (removes unused exports and dependencies)
npx knip --fix

# Auto-fix including file deletion
npx knip --fix --allow-remove-files

Only use --fix after the configuration-first workflow is complete.

Error Handling

If knip exits with code 2 (unexpected error like "error loading file"):

  • Check if a config file exists — if not, create knip.json in the project root
  • Check for known issues at knip.dev
  • Review the configuration reference for syntax/option errors
  • Run knip again after fixes

Common Commands

# Basic run
npx knip

# Production only (excludes test/config entry points)
npx knip --production

# Auto-fix what's safe
npx knip --fix

# Auto-fix including file deletion
npx knip --fix --allow-remove-files

# JSON output for parsing
npx knip --reporter json

Notes

  • Watch for monorepo setups — may need --workspace flag
  • Some frameworks need plugins enabled in config
  • Knip does not handle unused imports/variables inside files — use ESLint or Biome for that
how to use knip

How to use knip on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add knip
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/brianlovin/agent-config --skill knip

The skills CLI fetches knip from GitHub repository brianlovin/agent-config and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/knip

Reload or restart Cursor to activate knip. Access the skill through slash commands (e.g., /knip) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.759 reviews
  • Chaitanya Patil· Dec 28, 2024

    I recommend knip for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Nikhil Haddad· Dec 20, 2024

    Solid pick for teams standardizing on skills: knip is focused, and the summary matches what you get after install.

  • Ren Brown· Dec 20, 2024

    We added knip from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Nikhil Park· Dec 12, 2024

    Registry listing for knip matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ren Anderson· Dec 4, 2024

    Useful defaults in knip — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ren Zhang· Nov 23, 2024

    I recommend knip for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Piyush G· Nov 19, 2024

    Useful defaults in knip — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakura Abebe· Nov 11, 2024

    Keeps context tight: knip is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ava Liu· Nov 11, 2024

    knip is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sakura Chen· Nov 11, 2024

    knip fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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