Multi-Agent Skill Trainer Protocol

This skill is responsible for capturing knowledge gaps and updating the personas and checklists of other multi-agent skills (e.g., code review, TDD implementation) based on execution feedback and constraints.

Stages Overview

• Stage 0: Grounding & Verification
• Stage 1: Gap Analysis
• Stage 2: Ruleset Upgrade & Validation

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Stage 0: Grounding & Verification

1. Read Inputs: Read project.magi.json (or standalone configuration) to discover:
   • target_skill: The directory path of the skill to train (e.g., agents/skills/multi-agent-code-review/).
   • feedback_file: The path to the file containing the feedback or constraints (e.g., constraints.magi.json).
   • temp_directory: The directory for interim files.
2. Verify Target: Confirm the target skill directory exists and contains a valid personas/ directory and conforms to the PersonaDef schema.
3. Transition: Move to Stage 1.

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Stage 1: Gap Analysis

1. Invoke Analyzer: Invoke the Analyzer subagent (conforming to personas/core/analyzer.json).
2. Analysis Task: The Analyzer must:
   • Read the feedback_file (e.g., consolidated constraints from a failed review).
   • Identify which specific persona in the target skill is responsible for the missed checks.
   • Formulate new, generalized boolean checklist items to address the gaps.
   • Output the target persona name and the proposed checklist updates.
3. Transition: Move to Stage 2.

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Stage 2: Ruleset Upgrade & Validation

1. Invoke Upgrader: Invoke the Upgrader subagent (conforming to personas/core/upgrader.json).
2. Upgrade Task: The Upgrader must:
   • Read the target persona JSON file from the target skill's directory.
   • Append the new checklist items to its checklist.
   • Validate that the updated persona file conforms to the PersonaDef schema.
   • Consult segmentation.md to check if the ruleset checklist exceeds 10 items. If it does, split the ruleset and update the target skill's ROUTING.md.
3. Complete: Confirm that the files are saved and exit.