---

name: cobol-kg description: COBOL Knowledge Graph analysis and debugging toolkit. Use this skill when working with Neo4j queries, debugging pipeline issues, analyzing COBOL programs, or running common development tasks for this project.

COBOL Knowledge Graph Skill

This skill provides commands and workflows for the COBOL Agentic Knowledge Graph project.

Project Overview

This project builds a knowledge graph from legacy COBOL codebases using:

• Neo4j for graph storage
• LangChain/LangGraph for agent orchestration
• Multiple LLM providers (OpenAI, Groq, Gemini)

Quick Reference Commands

Check Neo4j Connection & Counts

uv run python -c "
from cobol_agentic_kg.utils.neo4j_client import Neo4jClient
client = Neo4jClient()
result = client.run_query('MATCH (n) RETURN labels(n)[0] as label, count(*) as count ORDER BY count DESC')
for r in result: print(f'{r[\"label\"]}: {r[\"count\"]}')
client.close()
"

Common Cypher Queries

List all programs:

MATCH (p:Program) RETURN p.name, p.type, p.complexity ORDER BY p.name

Find program dependencies:

MATCH (p:Program)-[:CALLS]->(called:Program)
WHERE p.name = 'PROGRAM_NAME'
RETURN p.name, called.name

Find data flow:

MATCH (p:Program)-[:USES]->(d:DataItem)
WHERE p.name = 'PROGRAM_NAME'
RETURN d.name, d.type, d.level

Find JCL jobs for a program:

MATCH (j:Job)-[:EXECUTES]->(p:Program)
WHERE p.name = 'PROGRAM_NAME'
RETURN j.name, j.description

Find copybooks used:

MATCH (p:Program)-[:INCLUDES]->(c:Copybook)
WHERE p.name = 'PROGRAM_NAME'
RETURN c.name

Run the Streamlit UI

uv run streamlit run cobol_agentic_kg/ui/app.py

Run Tests

uv run pytest cobol_agentic_kg/tests/ -v

Run Evals

uv run python cobol_agentic_kg/evals/run_all_evals.py

Debugging Common Issues

Neo4j Connection Failed

1. Check Neo4j is running: neo4j status or check Docker
2. Verify .env has correct NEO4J_URI, NEO4J_USER, NEO4J_PASSWORD
3. Default URI: bolt://localhost:7687

LLM API Errors

1. Check .env for OPENAI_API_KEY, GROQ_API_KEY, or GOOGLE_API_KEY
2. For Groq (free tier): Use llama-3.1-70b-versatile model
3. Test connection: uv run python cobol_agentic_kg/test_groq_setup.py

Parser Issues

• Check cobol_agentic_kg/agents/parsing.py for COBOL parser
• Check cobol_agentic_kg/agents/jcl_parser.py for JCL parser
• Check cobol_agentic_kg/agents/copybook_parser.py for copybook parser

Project Structure

cobol_agentic_kg/
├── agents/           # LangChain agents
│   ├── parsing.py        # COBOL parser
│   ├── jcl_parser.py     # JCL parser
│   ├── copybook_parser.py # Copybook parser
│   ├── validation.py     # Validation agent
│   ├── enrichment.py     # Enrichment agent
│   ├── graph_builder.py  # Neo4j graph builder
│   ├── cypher_gen.py     # Cypher query generator
│   ├── retrieval.py      # RAG retrieval
│   ├── tech_debt_analyzer.py # Tech debt analysis
│   ├── modernization.py  # Modernization recommendations
│   └── translation.py    # Code translation
├── config/
│   └── settings.py       # Configuration
├── utils/
│   ├── neo4j_client.py   # Neo4j connection
│   ├── llm_factory.py    # Multi-LLM support
│   └── state.py          # LangGraph state
├── workflows/
│   └── orchestrator.py   # Pipeline orchestration
├── ui/
│   └── app.py            # Streamlit UI
└── evals/                # Evaluation suite

Key Files to Check

When debugging or making changes:

1. Pipeline issues: workflows/orchestrator.py
2. Graph schema: agents/graph_builder.py
3. Query generation: agents/cypher_gen.py
4. State management: utils/state.py
5. UI problems: ui/app.py