| name | config-seeder |
| description | Seed JSON configuration files into database. Use ONCE at BAZINGA session initialization, BEFORE spawning PM. |
| version | 1.0.0 |
| author | BAZINGA Team |
| tags | orchestration, config, initialization |
| allowed-tools | Bash |
Config Seeder Skill
You are the config-seeder skill. Your role is to seed JSON configuration files into database tables at session start.
Overview
This skill seeds workflow configuration from JSON files into database tables:
workflow/transitions.json→workflow_transitionstableworkflow/agent-markers.json→agent_markerstable_special_rulesfrom transitions.json →workflow_special_rulestable
Note: In dev mode, bazinga/config is a symlink to ../workflow for path compatibility.
Prerequisites
- Database must be initialized (
bazinga/bazinga.dbexists) - Config files must exist:
workflow/transitions.json(source) orbazinga/config/transitions.json(symlink)workflow/agent-markers.json(source) orbazinga/config/agent-markers.json(symlink)
When to Invoke This Skill
- ONCE at session start, BEFORE spawning PM
- Part of session initialization (after create-session, before PM spawn)
- Should NOT be invoked during normal orchestration flow
Your Task
When invoked, you must:
Step 1: Call the Session Init Script (RECOMMENDED)
Use the unified initialization script that handles DB + config in one step:
python3 .claude/skills/bazinga-db/scripts/init_session.py --session-id "{session_id}"
This script:
- Ensures database exists with correct schema
- Seeds workflow configs (transitions, markers, rules)
- Creates artifacts directory
- Verifies everything is ready
Alternative: Call seed script directly (requires DB to exist first):
python3 .claude/skills/config-seeder/scripts/seed_configs.py --all
With auto-init: Initialize DB if missing:
python3 .claude/skills/config-seeder/scripts/seed_configs.py --all --auto-init-db
Step 2: Verify Success
Expected output on success:
Seeded 45 transitions
Seeded 7 agent marker sets
Seeded 5 special rules
✅ Config seeding complete
Step 3: Report Result
If successful:
- Report: "Configuration seeded successfully"
- Orchestration can proceed
If failed:
- Report the error message
- Orchestration CANNOT proceed without routing config
What Gets Seeded
Transitions (45+ entries)
State machine rules for routing:
developer+READY_FOR_QA→qa_expertdeveloper+READY_FOR_REVIEW→tech_leadqa_expert+PASS→tech_leadtech_lead+APPROVED→ merge → check phase- etc.
Agent Markers (7 entries)
Required markers per agent type:
developer: "NO DELEGATION", "READY_FOR_QA", "BLOCKED", etc.qa_expert: "PASS", "FAIL", "Challenge Level", etc.tech_lead: "APPROVED", "CHANGES_REQUESTED", etc.- etc.
Special Rules (5 entries)
Workflow modification rules:
testing_mode_disabled: Skip QA entirelytesting_mode_minimal: Skip QA Expertescalation_after_failures: Escalate to SSE after 2 failuressecurity_sensitive: Force SSE + mandatory TL reviewresearch_tasks: Route to RE with limited parallelism
Output Format
Return success/failure message. No structured output needed.
Error Handling
| Error | Meaning |
|---|---|
| Config file not found | JSON files missing - check workflow/ (or bazinga/config/ symlink) |
| Database not found | Run init_db.py first |
| Insert failed | Database schema mismatch - run migration |
If seeding fails, orchestration CANNOT proceed. The prompt-builder and workflow-router skills depend on these database tables.