rust-call-graph

Visualize Rust function call graphs with configurable depth and direction using LSP.

zhanghandong/rust-skillsUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/zhanghandong/rust-skills --skill rust-call-graph

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What it does

  • Supports three query directions: incoming calls (who calls this), outgoing calls (what this calls), and bidirectional analysis

  • Configurable traversal depth (default 3 levels) to control graph scope and complexity

  • Generates ASCII tree visualizations with entry points, leaf functions, and hot path analysis

  • Includes complexity insights and potential issues flagging (high fan-out, multiple callers)

Category

Backend

Last updated

Apr 8, 2026

Installation Guide

How to use rust-call-graph 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 machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add rust-call-graph
2

Run the install command

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

$npx skills add https://github.com/zhanghandong/rust-skills --skill rust-call-graph

Fetches rust-call-graph from zhanghandong/rust-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/rust-call-graph

Restart Cursor to activate rust-call-graph. Access via /rust-call-graph in your agent's command palette.

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

Rust Call Graph

Visualize function call relationships using LSP call hierarchy.

Usage

/rust-call-graph <function_name> [--depth N] [--direction in|out|both]

Options:

  • --depth N: How many levels to traverse (default: 3)
  • --direction: in (callers), out (callees), both

Examples:

  • /rust-call-graph process_request - Show both callers and callees
  • /rust-call-graph handle_error --direction in - Show only callers
  • /rust-call-graph main --direction out --depth 5 - Deep callee analysis

LSP Operations

1. Prepare Call Hierarchy

Get the call hierarchy item for a function.

LSP(
  operation: "prepareCallHierarchy",
  filePath: "src/handler.rs",
  line: 45,
  character: 8
)

2. Incoming Calls (Who calls this?)

LSP(
  operation: "incomingCalls",
  filePath: "src/handler.rs",
  line: 45,
  character: 8
)

3. Outgoing Calls (What does this call?)

LSP(
  operation: "outgoingCalls",
  filePath: "src/handler.rs",
  line: 45,
  character: 8
)

Workflow

User: "Show call graph for process_request"
[1] Find function location
    LSP(workspaceSymbol) or Grep
[2] Prepare call hierarchy
    LSP(prepareCallHierarchy)
[3] Get incoming calls (callers)
    LSP(incomingCalls)
[4] Get outgoing calls (callees)
    LSP(outgoingCalls)
[5] Recursively expand to depth N
[6] Generate ASCII visualization

Output Format

Incoming Calls (Who calls this?)

## Callers of `process_request`

main
└── run_server
    └── handle_connection
        └── process_request  ◄── YOU ARE HERE

Outgoing Calls (What does this call?)

## Callees of `process_request`

process_request  ◄── YOU ARE HERE
├── parse_headers
│   └── validate_header
├── authenticate
│   ├── check_token
│   └── load_user
├── execute_handler
│   └── [dynamic dispatch]
└── send_response
    └── serialize_body

Bidirectional (Both)

## Call Graph for `process_request`

                    ┌─────────────────┐
                    │      main       │
                    └────────┬────────┘
                    ┌────────▼────────┐
                    │   run_server    │
                    └────────┬────────┘
                    ┌────────▼────────┐
                    │handle_connection│
                    └────────┬────────┘
        ┌────────────────────┼────────────────────┐
        │                    │                    │
┌───────▼───────┐   ┌───────▼───────┐   ┌───────▼───────┐
│ parse_headers │   │ authenticate  │   │send_response  │
└───────────────┘   └───────┬───────┘   └───────────────┘
                    ┌───────┴───────┐
                    │               │
             ┌──────▼──────┐ ┌──────▼──────┐
             │ check_token │ │  load_user  │
             └─────────────┘ └─────────────┘

Analysis Insights

After generating the call graph, provide insights:

## Analysis

**Entry Points:** main, test_process_request
**Leaf Functions:** validate_header, serialize_body
**Hot Path:** main → run_server → handle_connection → process_request
**Complexity:** 12 functions, 3 levels deep

**Potential Issues:**
- `authenticate` has high fan-out (4 callees)
- `process_request` is called from 3 places (consider if this is intentional)

Common Patterns

User Says Direction Use Case
"Who calls X?" incoming Impact analysis
"What does X call?" outgoing Understanding implementation
"Show call graph" both Full picture
"Trace from main to X" outgoing Execution path

Visualization Options

Style Best For
Tree (default) Simple hierarchies
Box diagram Complex relationships
Flat list Many connections
Mermaid Export to docs

Mermaid Export

graph TD
    main --> run_server
    run_server --> handle_connection
    handle_connection --> process_request
    process_request --> parse_headers
    process_request --> authenticate
    process_request --> send_response

Related Skills

When See
Find definition rust-code-navigator
Project structure rust-symbol-analyzer
Trait implementations rust-trait-explorer
Safe refactoring rust-refactor-helper

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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

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.749 reviews
  • C
    Chen GuptaDec 28, 2024

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

  • A
    Alexander MenonDec 24, 2024

    We added rust-call-graph from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • G
    Ganesh MohaneDec 4, 2024

    rust-call-graph has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • R
    Rahul SantraNov 23, 2024

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

  • J
    James HuangNov 19, 2024

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

  • I
    Ishan SrinivasanNov 15, 2024

    rust-call-graph fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • P
    Pratham WareOct 14, 2024

    We added rust-call-graph from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • J
    James KhanOct 10, 2024

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

  • J
    James SinghOct 6, 2024

    rust-call-graph has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Y
    Yusuf HuangSep 17, 2024

    rust-call-graph reduced setup friction for our internal harness; good balance of opinion and flexibility.

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