skill-upgrader

Solid

Upgrade any skill to v5 Hybrid format using decision theory + modal logic

AI & Automation 3,795 stars 297 forks Updated 4 months ago MIT

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Quality Score: 86/100

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Description 5%
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Skill Content

# Skill Upgrader Meta-skill that upgrades any SKILL.md to Decision Theory v5 Hybrid format using 4 parallel Ragie-backed agents. ## When to Use - "Upgrade this skill to v5" - "Formalize this skill with decision theory" - "Add MDP structure to this skill" - "Apply the skill-upgrader to X" ## Prerequisites Ragie RAG with indexed books: - **decision-theory partition**: LaValle Planning Algorithms, Sutton & Barto RL - **modal-logic partition**: Blackburn Modal Logic, Huth & Ryan Logic in CS ## Workflow ### Step 1: Setup Session ```bash SESSION=$(date +%Y%m%d-%H%M%S)-upgrade-{skill_name} mkdir -p thoughts/skill-builds/${SESSION} ``` ### Step 2: Initialize Blackboard Create `thoughts/skill-builds/{session}/00-blackboard.md`: ```markdown # Skill Upgrade: {skill_name} Started: {timestamp} ## Input Skill {path_to_skill} ## Target Format Decision Theory v5 Hybrid ## Agent Findings (Agents append below) --- ``` ### Step 3: Launch 4 Agents in Parallel Use Task tool to spawn all 4 agents simultaneously. Each agent: 1. Reads the input skill 2. Queries Ragie for their specific book 3. Appends findings to the blackboard --- ## Agent 1: LaValle Planner **Book:** LaValle's "Planning Algorithms" (decision-theory partition) **Focus:** States, Actions, Transitions ``` Task( subagent_type="general-purpose", prompt=""" INPUT SKILL: {path} BLACKBOARD: thoughts/skill-builds/{session}/00-blackboard.md YOUR BOOK: LaValle's "Planning Algorithms" in Ragie partition 'decision-the...

Details

Author
parcadei
Repository
parcadei/Continuous-Claude-v3
Created
5 months ago
Last Updated
4 months ago
Language
Python
License
MIT

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