Visualize Rust function call graphs with configurable depth and direction using LSP.
Works with
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)
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionrust-call-graphExecute the skills CLI command in your project's root directory to begin installation:
Fetches rust-call-graph from zhanghandong/rust-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate rust-call-graph. Access via /rust-call-graph in your agent's command palette.
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.
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Visualize function call relationships using LSP call hierarchy.
/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), bothExamples:
/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 analysisGet the call hierarchy item for a function.
LSP(
operation: "prepareCallHierarchy",
filePath: "src/handler.rs",
line: 45,
character: 8
)
LSP(
operation: "incomingCalls",
filePath: "src/handler.rs",
line: 45,
character: 8
)
LSP(
operation: "outgoingCalls",
filePath: "src/handler.rs",
line: 45,
character: 8
)
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
## Callers of `process_request`
main
└── run_server
└── handle_connection
└── process_request ◄── YOU ARE HERE
## 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
## Call Graph for `process_request`
┌─────────────────┐
│ main │
└────────┬────────┘
│
┌────────▼────────┐
│ run_server │
└────────┬────────┘
│
┌────────▼────────┐
│handle_connection│
└────────┬────────┘
│
┌────────────────────┼────────────────────┐
│ │ │
┌───────▼───────┐ ┌───────▼───────┐ ┌───────▼───────┐
│ parse_headers │ │ authenticate │ │send_response │
└───────────────┘ └───────┬───────┘ └───────────────┘
│
┌───────┴───────┐
│ │
┌──────▼──────┐ ┌──────▼──────┐
│ check_token │ │ load_user │
└─────────────┘ └─────────────┘
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)
| 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 |
| Style | Best For |
|---|---|
| Tree (default) | Simple hierarchies |
| Box diagram | Complex relationships |
| Flat list | Many connections |
| Mermaid | Export to docs |
graph TD
main --> run_server
run_server --> handle_connection
handle_connection --> process_request
process_request --> parse_headers
process_request --> authenticate
process_request --> send_response
| When | See |
|---|---|
| Find definition | rust-code-navigator |
| Project structure | rust-symbol-analyzer |
| Trait implementations | rust-trait-explorer |
| Safe refactoring | rust-refactor-helper |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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Useful defaults in rust-call-graph — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added rust-call-graph from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
rust-call-graph has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: rust-call-graph is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend rust-call-graph for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
rust-call-graph fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added rust-call-graph from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: rust-call-graph is focused, and the summary matches what you get after install.
rust-call-graph has been reliable in day-to-day use. Documentation quality is above average for community skills.
rust-call-graph reduced setup friction for our internal harness; good balance of opinion and flexibility.
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