skill-upgrader

Meta-skill that upgrades any SKILL.md to Decision Theory v5 Hybrid format using 4 parallel Ragie-backed agents. Ragie RAG with indexed books: Create thoughts/skill-builds/{session}/00-blackboard.md : Use Task tool to spawn all 4 agents simultaneously. Each agent: Book: LaValle's "Planning Algorithms" (decision-theory partition) Focus: States, Actions, Transitions Read the input skill and answer: WRITE to blackboard section: ## Agent 1: States, Actions & Transitions Format as plain English with LaValle chapter citations. """ ) Task( subagent_type="general-purpose", prompt=""" INPUT SKILL: {path} BLACKBOARD: thoughts/skill-builds/{session}/00-blackboard.md YOUR BOOK: Sutton & Barto's "Reinforcement Learning" in Ragie partition 'decision-theory' WAIT: Read Agent 1's findings from blackboard first. TASK: Design policy and termination conditions. Query Ragie: Using Agent 1's states and actions, answer: WRITE to blackboard section: ## Agent 2: Policy & Values Format as plain English with Sutton & Barto section citations. """ ) Task( subagent_type="general-purpose", prompt=""" INPUT SKILL: {path} BLACKBOARD: thoughts/skill-builds/{session}/00-blackboard.md YOUR BOOK: Blackburn's "Modal Logic" in Ragie partition 'modal-logic' TASK: Extract constraints from the skill. Query Ragie: Read the input skill and identify: WRITE to blackboard section: ## Agent 3: Constraints For each...