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"
From loomnpx claudepluginhub tony/ai-workflow-plugins --plugin loomThis skill uses the workspace's default tool permissions.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Details PluginEval's skill quality evaluation: 3 layers (static, LLM judge), 10 dimensions, rubrics, formulas, anti-patterns, badges. Use to interpret scores, improve triggering, calibrate thresholds.
Iteratively improve an artifact through multi-model critique and weaving. Each pass is a full judge-pick-best-incorporate-strengths-address-weaknesses cycle.
/loom:brainstorm that you want to refine further--passes=N (1-5, default 2): Number of refinement cycles--judge=host|round-robin: Host judges every pass, or rotate judging across modelsRun the /loom:refine command with your text or file path. The command handles context gathering, model detection, the judge-weave-distribute cycle, and artifact persistence.