Best use case
dead-code is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Find unused functions and dead code in the codebase
Teams using dead-code should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dead-code/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dead-code Compares
| Feature / Agent | dead-code | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Find unused functions and dead code in the codebase
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Dead Code Detection Find unused functions and dead code using TLDR static analysis. ## Quick Start ```bash # Scan entire project tldr dead . # Scan specific directory tldr dead src/ # Specify entry points (functions to exclude from analysis) tldr dead . --entry main cli test_ # Specify language tldr dead . --lang python tldr dead . --lang typescript ``` ## Output Format ``` Dead code analysis: Total functions: 150 Dead functions: 12 Unused functions: - old_helper (src/utils.py:42) - deprecated_func (src/legacy.py:15) - _unused_method (src/api.py:230) ``` ## Cross-Platform Works on Windows, Mac, and Linux (including WSL). ```bash # Windows (PowerShell) tldr dead . # Mac/Linux tldr dead . ``` ## Entry Points Functions matching entry patterns are excluded from dead code analysis: - `main`, `cli` - Application entry points - `test_*`, `*_test` - Test functions - `setup`, `teardown` - Fixtures - `@app.route`, `@api.endpoint` - Framework handlers ```bash # Custom entry points tldr dead src/ --entry main api_handler background_job ``` ## Integration This skill replaces the session-start-dead-code hook with on-demand analysis. | Approach | Pros | Cons | |----------|------|------| | Hook (removed) | Automatic | Slowed startup by 3s | | Skill (this) | On-demand, fast | Manual invocation | ## Related Commands ```bash # Impact analysis (who calls this?) tldr impact func_name . # Architecture layers tldr arch src/ # Full codebase structure tldr structure . --lang python ```
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