Claude-skill-registry config-seeder

Seed JSON configuration files into database. Use ONCE at BAZINGA session initialization, BEFORE spawning PM.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/config-seeder" ~/.claude/skills/majiayu000-claude-skill-registry-config-seeder && rm -rf "$T"
manifest: skills/data/config-seeder/SKILL.md
source content

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_transitions
    table
  • workflow/agent-markers.json
    agent_markers
    table
  • _special_rules
    from transitions.json →
    workflow_special_rules
    table

Note: In dev mode,

bazinga/config
is a symlink to
../workflow
for path compatibility.

Prerequisites

  • Database must be initialized (
    bazinga/bazinga.db
    exists)
  • Config files must exist:
    • workflow/transitions.json
      (source) or
      bazinga/config/transitions.json
      (symlink)
    • workflow/agent-markers.json
      (source) or
      bazinga/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:

  1. Ensures database exists with correct schema
  2. Seeds workflow configs (transitions, markers, rules)
  3. Creates artifacts directory
  4. 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_expert
  • developer
    +
    READY_FOR_REVIEW
    tech_lead
  • qa_expert
    +
    PASS
    tech_lead
  • tech_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 entirely
  • testing_mode_minimal
    : Skip QA Expert
  • escalation_after_failures
    : Escalate to SSE after 2 failures
  • security_sensitive
    : Force SSE + mandatory TL review
  • research_tasks
    : Route to RE with limited parallelism

Output Format

Return success/failure message. No structured output needed.

Error Handling

ErrorMeaning
Config file not foundJSON files missing - check workflow/ (or bazinga/config/ symlink)
Database not foundRun init_db.py first
Insert failedDatabase schema mismatch - run migration

If seeding fails, orchestration CANNOT proceed. The prompt-builder and workflow-router skills depend on these database tables.