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dead-code▌

parcadei/continuous-claude-v3 · updated Jun 1, 2026

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$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill dead-code
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summary

Find unused functions and dead code using TLDR static analysis.

skill.md

Dead Code Detection

Find unused functions and dead code using TLDR static analysis.

Quick Start

# 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).

# 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
# 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

# Impact analysis (who calls this?)
tldr impact func_name .

# Architecture layers
tldr arch src/

# Full codebase structure
tldr structure . --lang python
how to use dead-code

How to use dead-code 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 dead-code
2

Execute installation command

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

$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill dead-code

The skills CLI fetches dead-code from GitHub repository parcadei/continuous-claude-v3 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/dead-code

Reload or restart Cursor to activate dead-code. Access the skill through slash commands (e.g., /dead-code) 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.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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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)
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general reviews

Ratings

4.5★★★★★47 reviews
  • ★★★★★Dhruvi Jain· Dec 20, 2024

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

  • ★★★★★Ren Desai· Dec 16, 2024

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

  • ★★★★★Sakura Kim· Dec 12, 2024

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

  • ★★★★★Fatima Abebe· Dec 4, 2024

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

  • ★★★★★Yusuf Kim· Nov 23, 2024

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

  • ★★★★★Evelyn Rao· Nov 15, 2024

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

  • ★★★★★Oshnikdeep· Nov 11, 2024

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

  • ★★★★★William Yang· Nov 11, 2024

    dead-code has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Evelyn Wang· Nov 7, 2024

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

  • ★★★★★Chinedu Okafor· Nov 3, 2024

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

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