MCPInstall

dead-code-sweep

This skill should be used when cleaning up codebases that have accumulated dead code, redundant implementations, and orphaned artifacts — especially codebases maintained by coding agents. Triggers on "find dead code", "clean up unused code", "remove redundant code", "prune this codebase", "dead code sweep", "code cleanup", or when a codebase has gone through multiple agent-driven refactors and likely contains overlooked remnants. Systematically identifies cruft, categorizes findings, and removes confirmed dead code with user approval.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/petekp/claude-code-setup --skill dead-code-sweep
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads dead-code-sweep automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Dead Code Sweep

Systematic identification and removal of dead code, redundant implementations, and orphaned artifacts in codebases — particularly those maintained by coding agents with limited context windows.

Why Agent-Maintained Codebases Accumulate Cruft

Coding agents operate within narrow context windows. When refactoring, they often:

  • Re-implement functionality without finding and removing the original
  • Leave compatibility shims for interfaces that no longer exist
  • Abandon helper functions after inlining their logic
  • Create new files without deleting the ones they replace
  • Duplicate type definitions across module boundaries
  • Leave imports for symbols they stopped using mid-refactor

This cruft compounds. Each orphaned artifact misleads the next agent (or human), who wastes context budget reading code that does nothing.

Workflow

Phase 1: Scope and Inventory

Determine the analysis boundary.

If the user provides a scope (directory, file pattern, module), constrain all analysis to that scope.

If no scope is provided, analyze the full codebase. Start by reading the project structure:

  1. Identify the primary language(s) and framework(s)
  2. Map entry points (main files, route definitions, exported modules, test runners)
  3. Note the build system and dependency configuration
  4. Check for monorepo structure — analyze each package as a unit

Produce a brief inventory:

Language(s): TypeScript, Python
Entry points: src/index.ts, src/cli.ts
Build: esbuild via package.json scripts
Packages: 1 (single package)
Estimated LOC: ~4,200

Phase 2: Detection

Launch parallel sub-agents to scan for different categories of dead code. Read references/cruft-patterns.md for the full catalog of detection patterns.

Organize detection into these parallel tracks:

TrackWhat It Finds
Orphaned filesFiles not imported, required, or referenced by any other file
Unused exportsExported symbols (functions, classes, types, constants) never imported elsewhere
Redundant implementationsMultiple functions/classes doing the same thing under different names
Stale compatibility codeShims, adapters, wrappers, and re-exports that bridge interfaces that no longer differ
Dead branchesConditional paths that can never execute (always-true/false guards, unreachable returns)
Orphaned testsTest files testing functions or modules that no longer exist
Orphaned dependenciesPackages in dependency manifests not imported anywhere in source

For each track, the sub-agent should:

  1. Read references/cruft-patterns.md for detection strategies specific to that track
  2. Search the codebase using Grep and Glob
  3. Verify each candidate by tracing references — a symbol is only dead if zero live code paths reach it 3b. Search CI scripts and shell test fixtures for path references to the candidate: rg <filename> -- scripts/ tests/ .github/. Files consumed as ratchet-check arguments or Bats test fixtures are NOT dead even if zero source files import them.
  4. Record findings with file path, line range, and evidence

Verification is critical. Common false positives to watch for:

  • Symbols used via dynamic dispatch, reflection, or string-based lookups
  • Framework-magic exports (e.g., Next.js page components, pytest fixtures, Rails conventions)
  • Public API surface intended for external consumers
  • Conditional imports behind feature flags or environment checks
  • Decorator-registered or plugin-registered handlers
  • CLI entry points referenced in package.json bin fields
  • CSS class names referenced in templates or JSX as dynamic strings
  • CI scripts and shell test fixtures that reference files by path — e.g., check_file_contains "name" "path/to/file" in scripts/ci/, or cat "$PROJECT_ROOT/path/to/file" in tests/**/*.bats. These are string arguments, not imports, so import-tracing tools miss them entirely.

When uncertain, mark as "needs review" rather than "confirmed dead."

Phase 3: Report

Consolidate all findings into a structured report at .claude/dead-code-report.md.

Organize findings by confidence level, then by category:

# Dead Code Sweep Report

**Scope:** [full codebase | specific path]
**Date:** [date]
**Estimated removable lines:** [count]

## Confirmed Dead (high confidence)

### Orphaned Files
- `src/utils/old-parser.ts` — Not imported anywhere. Superseded by `src/parser/index.ts`.
- ...

### Unused Exports
- `formatDate()` in `src/helpers.ts:42-58` — Exported but zero imports across codebase.
- ...

[...other categories...]

## Needs Review (uncertain)

### Possibly Dynamic
- `handleLegacyEvent()` in `src/events.ts:91` — No static imports, but may be registered dynamically.
- ...

For each finding, include:

  • File path and line range
  • What it is (function, class, file, type, constant, dependency)
  • Why it appears dead (no imports, no references, superseded by X)
  • Confidence (confirmed / needs review)

Phase 4: Cleanup with Approval

Present the report summary to the user and ask for approval before removing anything.

Use AskUserQuestion to present findings by category:

Found 12 confirmed dead items and 3 needing review.

Confirmed dead by category:
- 3 orphaned files (~280 lines)
- 5 unused exports (~120 lines)
- 2 redundant implementations (~90 lines)
- 2 orphaned dependencies

Which categories should I clean up?

Options: Remove all confirmed / Select categories / Review each item / Skip cleanup

For each approved category:

  1. Remove the dead code
  2. Clean up any imports that referenced the removed code
  3. Remove empty files left after cleanup
  4. Remove orphaned dependencies from the manifest
  5. Run the project's lint/typecheck/build commands to verify nothing broke

If any removal causes a build or type error, immediately revert that specific removal and move the item to "needs review."

After cleanup, update the report with what was removed and what was kept.

Detection Principles

Trace from entry points, not from suspects

Start from known entry points and trace what's reachable, rather than starting from a suspect symbol and trying to prove it's used. The reachability approach has fewer false negatives.

Respect the module boundary

A symbol exported from a package's public API may be consumed by external code not visible in this repository. When analyzing libraries or packages with external consumers, only flag internal (non-public-API) dead code as "confirmed." Flag public API dead code as "needs review."

Look for clusters, not just individuals

Agent-generated cruft tends to cluster. When one dead function is found, examine its neighbors — the agent likely abandoned the entire section during a refactor. A dead file often has sibling dead files created in the same commit.

Use git history as a signal

When available, check when suspect code was last meaningfully modified. Code untouched across several refactor commits is more likely dead. Use git log --follow to trace renames and detect superseded files.

Check CI and test infrastructure, not just source code

Files may have zero source-code references but be consumed by CI scripts (scripts/ci/, .github/workflows/), shell test fixtures (tests/**/*.bats), or verification tooling (.verifier/). These references appear as string arguments to shell functions — invisible to import tracing. Always run rg <filename> -- scripts/ tests/ .github/ before classifying a file as orphaned.

FAQ

What does the dead-code-sweep skill do?

This skill should be used when cleaning up codebases that have accumulated dead code, redundant implementations, and orphaned artifacts — especially codebases maintained by coding agents. Triggers on "find dead code", "clean up unused code", "remove redundant code", "prune this codebase", "dead code sweep", "code cleanup", or when a codebase has gone through multiple agent-driven refactors and likely contains overlooked remnants. Systematically identifies cruft, categorizes findings, and removes confirmed dead code with user approval.

How do I install dead-code-sweep?

Run npx skills add https://github.com/petekp/claude-code-setup --skill dead-code-sweep in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dead-code-sweep/ (personal) or .claude/skills/dead-code-sweep/ (project).

Which AI agents can use dead-code-sweep?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is dead-code-sweep safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains dead-code-sweep?

It is published by petekp in petekp/claude-code-setup. It has 49 recorded installs.

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