rust-skill-creator▌
zhanghandong/rust-skills · updated Apr 10, 2026
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Dynamically generate skills for Rust crates and standard library documentation.
- ›Supports both agent mode (via /create-llms-for-skills and /create-skills-via-llms commands) and inline mode for skills-only installations
- ›Handles third-party crates (tokio, serde, axum) and Rust std library modules with automatic URL construction
- ›Generates SKILL.md files with overview, key types, common patterns, and reference documentation organized by module
- ›Includes URL templates and helpers for con
Rust Skill Creator
Version: 2.1.0 | Last Updated: 2025-01-27
Create dynamic skills for Rust crates and std library documentation.
When to Use
This skill handles requests to create skills for:
- Third-party crates (tokio, serde, axum, etc.)
- Rust standard library (std::sync, std::marker, etc.)
- Any Rust documentation URL
Execution Mode Detection
CRITICAL: Check if related commands/skills are available.
This skill relies on:
/create-llms-for-skillscommand/create-skills-via-llmscommand
Agent Mode (Plugin Install)
When the commands above are available (full plugin installation):
Workflow
1. Identify the Target
| User Request | Target Type | URL Pattern |
|---|---|---|
| "create tokio skill" | Third-party crate | docs.rs/tokio/latest/tokio/ |
| "create Send trait skill" | Std library | doc.rust-lang.org/std/marker/trait.Send.html |
| "create skill from URL" + URL | Custom URL | User-provided URL |
2. Execute the Command
Use the /create-llms-for-skills command:
/create-llms-for-skills <url> [requirements]
Examples:
# For third-party crate
/create-llms-for-skills https://docs.rs/tokio/latest/tokio/
# For std library
/create-llms-for-skills https://doc.rust-lang.org/std/marker/trait.Send.html
# With specific requirements
/create-llms-for-skills https://docs.rs/axum/latest/axum/ "Focus on routing and extractors"
3. Follow-up with Skill Creation
After llms.txt is generated, use:
/create-skills-via-llms <crate_name> <llms_path> [version]
Inline Mode (Skills-only Install)
When the commands above are NOT available, create skills manually:
Step 1: Identify Target and Construct URL
| Target | URL Template |
|---|---|
| Crate overview | https://docs.rs/{crate}/latest/{crate}/ |
| Crate module | https://docs.rs/{crate}/latest/{crate}/{module}/ |
| Std trait | https://doc.rust-lang.org/std/{module}/trait.{Name}.html |
| Std struct | https://doc.rust-lang.org/std/{module}/struct.{Name}.html |
| Std module | https://doc.rust-lang.org/std/{module}/index.html |
Step 2: Fetch Documentation
# Using agent-browser CLI
agent-browser open "<documentation_url>"
agent-browser get text ".docblock"
agent-browser close
Or with WebFetch fallback:
WebFetch("<documentation_url>", "Extract API documentation including types, functions, and examples")
Step 3: Create Skill Directory
mkdir -p ~/.claude/skills/{crate_name}
mkdir -p ~/.claude/skills/{crate_name}/references
Step 4: Generate SKILL.md
Create ~/.claude/skills/{crate_name}/SKILL.md with this template:
---
name: {crate_name}
description: "Documentation for {crate_name} crate. Keywords: {keywords}"
---
# {Crate Name}
> **Version:** {version} | **Source:** docs.rs
## Overview
{Brief description from documentation}
## Key Types
### {Type1}
{Description and usage}
### {Type2}
{Description and usage}
## Common Patterns
{Usage patterns extracted from documentation}
## Examples
```rust
{Example code from documentation}
Documentation
./references/overview.md- Main overview./references/{module}.md- Module documentation
Links
### Step 5: Generate Reference Files
For each major module or type, create a reference file:
```bash
# Fetch and save module documentation
agent-browser open "https://docs.rs/{crate}/latest/{crate}/{module}/"
agent-browser get text ".docblock" > ~/.claude/skills/{crate_name}/references/{module}.md
agent-browser close
Step 6: Verify Skill
# Check skill structure
ls -la ~/.claude/skills/{crate_name}/
cat ~/.claude/skills/{crate_name}/SKILL.md
URL Construction Helper
| Target | URL Template |
|---|---|
| Crate overview | https://docs.rs/{crate}/latest/{crate}/ |
| Crate module | https://docs.rs/{crate}/latest/{crate}/{module}/ |
| Std trait | https://doc.rust-lang.org/std/{module}/trait.{Name}.html |
| Std struct | https://doc.rust-lang.org/std/{module}/struct.{Name}.html |
| Std module | https://doc.rust-lang.org/std/{module}/index.html |
Common Std Library Paths
| Item | Path |
|---|---|
| Send, Sync, Copy, Clone | std/marker/trait.{Name}.html |
| Arc, Mutex, RwLock | std/sync/struct.{Name}.html |
| Rc, Weak | std/rc/struct.{Name}.html |
| RefCell, Cell | std/cell/struct.{Name}.html |
| Box | std/boxed/struct.Box.html |
| Vec | std/vec/struct.Vec.html |
| String | std/string/struct.String.html |
| Option | std/option/enum.Option.html |
| Result | std/result/enum.Result.html |
Example Interactions
Example 1: Create Crate Skill (Agent Mode)
User: "Create a dynamic skill for tokio"
Claude:
1. Identify: Third-party crate "tokio"
2. Execute: /create-llms-for-skills https://docs.rs/tokio/latest/tokio/
3. Wait for llms.txt generation
4. Execute: /create-skills-via-llms tokio ~/tmp/{timestamp}-tokio-llms.txt
Example 2: Create Crate Skill (Inline Mode)
User: "Create a dynamic skill for tokio"
Claude:
1. Identify: Third-party crate "tokio"
2. Fetch: agent-browser open "https://docs.rs/tokio/latest/tokio/"
3. Extract documentation
4. Create: ~/.claude/skills/tokio/SKILL.md
5. Create: ~/.claude/skills/tokio/references/
6. Save reference files for key modules (sync, task, runtime, etc.)
Example 3: Create Std Library Skill
User: "Create a skill for Send and Sync traits"
Claude:
1. Identify: Std library traits
2. (Agent Mode) Execute: /create-llms-for-skills https://doc.rust-lang.org/std/marker/trait.Send.html https://doc.rust-lang.org/std/marker/trait.Sync.html
(Inline Mode) Fetch each URL, create skill manually
3. Complete skill creation
DO NOT
- Use
best-skill-creatorfor Rust-related skill creation - Guess documentation URLs without verification
- Skip documentation fetching step
Output Location
All generated skills are saved to: ~/.claude/skills/
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Commands not found | Skills-only install | Use inline mode |
| URL not found | Invalid crate/module | Verify crate exists on crates.io |
| Empty documentation | API changed | Use alternative selectors |
| Permission denied | Directory issue | Check ~/.claude/skills/ permissions |
How to use rust-skill-creator 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-skill-creator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches rust-skill-creator from GitHub repository zhanghandong/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-skill-creator. Access the skill through slash commands (e.g., /rust-skill-creator) 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★★★★★61 reviews- ★★★★★Kwame Shah· Dec 28, 2024
rust-skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Daniel Garcia· Dec 24, 2024
We added rust-skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Carlos Anderson· Dec 20, 2024
Useful defaults in rust-skill-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Dec 4, 2024
We added rust-skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Oshnikdeep· Nov 23, 2024
rust-skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ishan Thomas· Nov 23, 2024
Solid pick for teams standardizing on skills: rust-skill-creator is focused, and the summary matches what you get after install.
- ★★★★★Naina Bhatia· Nov 19, 2024
We added rust-skill-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aanya Gonzalez· Nov 15, 2024
rust-skill-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Kabir Diallo· Nov 11, 2024
I recommend rust-skill-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Oct 14, 2024
Registry listing for rust-skill-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
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