Extract Dependencies

Analyze import statements and identify all external and internal module dependencies in codebase.

When to Use

• Understanding module coupling
• Planning dependency updates
• Identifying circular dependencies
• Generating dependency graphs

Quick Reference

# Python dependency extraction
grep -r "^import\|^from" --include="*.py" . | sort | uniq

# Generate dependency graph
pipdeptree

# Check for circular dependencies
python3 -c "import ast; [print(f.name) for f in ast.walk(ast.parse(open('file.py').read())) if isinstance(f, ast.Import)]"

Workflow

1. Scan imports: Extract all import statements from codebase
2. Categorize dependencies: Separate external, internal, standard library
3. Map relationships: Create graph of which modules import which
4. Identify chains: Trace dependency chains (A→B→C)
5. Report analysis: Document dependency structure and issues

Output Format

Dependency analysis:

• External dependencies (with versions)
• Internal module dependencies
• Dependency graph (text or ASCII art)
• Circular dependencies (if found)
• Recommended import order
• Unnecessary or redundant dependencies

References

• See check-dependencies skill for validation
• See analyze-code-structure skill for module organization
• See pixi.toml for declared project dependencies