legacy-code-interpreter
Understand and document legacy code behavior through deep analysis and behavior characterization
Best use case
legacy-code-interpreter is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Understand and document legacy code behavior through deep analysis and behavior characterization
Teams using legacy-code-interpreter should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/legacy-code-interpreter/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How legacy-code-interpreter Compares
| Feature / Agent | legacy-code-interpreter | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Understand and document legacy code behavior through deep analysis and behavior characterization
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Legacy Code Interpreter Skill
Deep analysis and interpretation of legacy code to understand undocumented behavior, extract business logic, and characterize system functionality.
## Purpose
Enable legacy code understanding for:
- Business logic extraction
- Undocumented feature discovery
- Behavior characterization
- Migration planning
- Knowledge preservation
## Capabilities
### 1. Business Logic Extraction
- Parse conditional logic
- Extract calculation formulas
- Identify validation rules
- Document decision trees
### 2. Undocumented Feature Discovery
- Find hidden functionality
- Identify feature flags
- Discover Easter eggs
- Map admin features
### 3. Control Flow Analysis
- Trace execution paths
- Map state machines
- Identify loops and recursion
- Document entry points
### 4. Data Flow Tracking
- Trace data transformations
- Map input to output
- Identify side effects
- Document state changes
### 5. Side Effect Identification
- Find external calls
- Identify I/O operations
- Map database operations
- Document messaging
### 6. Behavior Characterization
- Create behavior summaries
- Generate pseudo-code
- Document edge cases
- Map error handling
## Tool Integrations
| Tool | Purpose | Integration Method |
|------|---------|-------------------|
| Understand (SciTools) | Deep analysis | CLI / API |
| Lattix | Architecture analysis | CLI |
| CodeScene | Behavioral analysis | API |
| Sourcetrail | Code exploration | CLI |
| ast-grep | Pattern matching | MCP / CLI |
## Output Schema
```json
{
"analysisId": "string",
"timestamp": "ISO8601",
"interpretation": {
"businessLogic": [
{
"name": "string",
"location": "string",
"description": "string",
"pseudoCode": "string",
"inputs": [],
"outputs": [],
"sideEffects": []
}
],
"controlFlow": {
"entryPoints": [],
"stateMachines": [],
"criticalPaths": []
},
"dataFlow": {
"transformations": [],
"stateChanges": []
},
"undocumented": []
}
}
```
## Integration with Migration Processes
- **legacy-codebase-assessment**: Primary interpretation tool
- **migration-planning-roadmap**: Knowledge source
## Related Skills
- `static-code-analyzer`: Structural analysis
- `knowledge-extractor`: Documentation mining
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- `legacy-system-archaeologist`: Uses for excavationRelated Skills
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