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refinelisted

Use when the user has an existing draft, text, code, or artifact and wants it iteratively improved through multi-model critique and weaving across multiple passes. Triggers on phrases like "refine this", "improve this", "make this better", "iterate on this", or "polish this"
tony/ai-workflow-plugins · ★ 1 · AI & Automation · score 66
Install: claude install-skill tony/ai-workflow-plugins
# Weave Refine Iteratively improve an artifact through multi-model critique and weaving. Each pass is a full judge-pick-best-incorporate-strengths-address-weaknesses cycle. ## When to Use - You have a draft that needs improvement - You want multiple AI models to critique and enhance an artifact - You want iterative refinement where each pass genuinely improves the output - You have output from `/weave:brainstorm` that you want to refine further ## Key Features - Accepts inline text or file paths (auto-detected) - `--passes=N` (1-5, default 2): Number of refinement cycles - Each pass: all models critique and improve, judge picks best, weaves in strengths from runners-up - Full rationale chain showing evolution across passes - Early-stop when no material improvement detected - `--judge=host|round-robin`: Host judges every pass, or rotate judging across models ## The Refinement Cycle 1. All models independently critique and improve the artifact 2. Judge scores versions, picks the best, identifies strengths in runners-up 3. Judge weaves a revised version incorporating all improvements 4. Woven version goes back to all models for another round 5. Repeat until passes exhausted or convergence ## How to Invoke Run the `/weave:refine` command with your text or file path. The command handles context gathering, model detection, the judge-weave-distribute cycle, and artifact persistence.