Unified tool replacing manual schema reading (cat schema) across all agents
and skills. Supports 5 commands: init (skeleton), set (incremental field
setting with instant validation), validate (full structural + semantic),
merge (dedup multiple JSONs), info (compact schema summary).
Registers 24 schemas in schema-registry.ts. Updates all agent/skill/command
files to use json_builder info/init/validate instead of cat schema references.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Implemented `planner` role for solution design and task decomposition using issue-plan-agent.
- Introduced `reviewer` role for solution review, technical feasibility validation, and risk assessment.
- Created `integrator` role for queue formation and conflict detection using issue-queue-agent.
- Added `implementer` role for code implementation and test verification via code-developer.
- Defined message types and role boundaries for each role to ensure clear responsibilities.
- Established a team configuration file to manage roles, pipelines, and collaboration patterns for the issue processing pipeline.
- Introduced a new quality standards document outlining assessment criteria for team command .md files, including completeness, pattern compliance, integration, and consistency dimensions.
- Established quality gates and issue classification for errors, warnings, and informational notes.
- Created a comprehensive team command design patterns document detailing infrastructure and collaboration patterns, including message bus integration, YAML front matter requirements, task lifecycle, five-phase execution structure, and error handling.
- Included a pattern selection guide for collaboration scenarios to enhance team interaction models.
- Implement Phase 2: Orchestrator Design with detailed steps for generating SKILL.md
- Introduce Phase 3: Phase Files Design to create phase files with content fidelity
- Establish Phase 4: Validation & Integration to ensure structural completeness and reference integrity
- Include comprehensive validation checks for content quality and data flow consistency
- Enhance documentation with clear objectives and critical rules for each phase
