rust-deps-visualizer▌
actionbook/rust-skills · updated Apr 8, 2026
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Generate ASCII art visualizations of your Rust project's dependency tree.
Rust Dependencies Visualizer
Generate ASCII art visualizations of your Rust project's dependency tree.
Usage
/rust-deps-visualizer [--depth N] [--features]
Options:
--depth N: Limit tree depth (default: 3)--features: Show feature flags
Output Format
Simple Tree (Default)
my-project v0.1.0
├── tokio v1.49.0
│ ├── pin-project-lite v0.2.x
│ └── bytes v1.x
├── serde v1.0.x
│ └── serde_derive v1.0.x
└── anyhow v1.x
Feature-Aware Tree
my-project v0.1.0
├── tokio v1.49.0 [rt, rt-multi-thread, macros, fs, io-util]
│ ├── pin-project-lite v0.2.x
│ └── bytes v1.x
├── serde v1.0.x [derive]
│ └── serde_derive v1.0.x (proc-macro)
└── anyhow v1.x [std]
Implementation
Step 1: Parse Cargo.toml for direct dependencies
cargo metadata --format-version=1 --no-deps 2>/dev/null
Step 2: Get full dependency tree
cargo tree --depth=${DEPTH:-3} ${FEATURES:+--features} 2>/dev/null
Step 3: Format as ASCII art tree
Use these box-drawing characters:
├──for middle items└──for last items│for continuation lines
Visual Enhancements
Dependency Categories
my-project v0.1.0
│
├─[Runtime]─────────────────────
│ ├── tokio v1.49.0
│ └── async-trait v0.1.x
│
├─[Serialization]───────────────
│ ├── serde v1.0.x
│ └── serde_json v1.x
│
└─[Development]─────────────────
├── criterion v0.5.x
└── proptest v1.x
Size Visualization (Optional)
my-project v0.1.0
├── tokio v1.49.0 ████████████ 2.1 MB
├── serde v1.0.x ███████ 1.2 MB
├── regex v1.x █████ 890 KB
└── anyhow v1.x ██ 120 KB
─────────────────
Total: 4.3 MB
Workflow
- Check for Cargo.toml in current directory
- Run
cargo treewith specified options - Parse output and generate ASCII visualization
- Optionally categorize by purpose (runtime, dev, build)
Related Skills
| When | See |
|---|---|
| Crate selection advice | m11-ecosystem |
| Workspace management | m11-ecosystem |
| Feature flag decisions | m11-ecosystem |
How to use rust-deps-visualizer on Cursor
AI-first code editor with Composer
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 rust-deps-visualizer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches rust-deps-visualizer from GitHub repository actionbook/rust-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate rust-deps-visualizer. Access the skill through slash commands (e.g., /rust-deps-visualizer) 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
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★53 reviews- ★★★★★Kofi Flores· Dec 24, 2024
Registry listing for rust-deps-visualizer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Harper Martin· Dec 20, 2024
Keeps context tight: rust-deps-visualizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Michael Thompson· Dec 16, 2024
I recommend rust-deps-visualizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Emma Smith· Dec 12, 2024
Useful defaults in rust-deps-visualizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Olivia Johnson· Nov 15, 2024
rust-deps-visualizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Harper Sethi· Nov 11, 2024
rust-deps-visualizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Michael Nasser· Nov 7, 2024
Useful defaults in rust-deps-visualizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Harper Flores· Nov 3, 2024
I recommend rust-deps-visualizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Arya Sanchez· Oct 26, 2024
rust-deps-visualizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Harper Garcia· Oct 22, 2024
rust-deps-visualizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
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