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refine-restruct

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Actualizado9 de abril de 2026 a las 20:10

Manually refine a prompt through the local LLM meta-prompt pipeline. Transforms a casual developer request into a structured, rules-aware prompt using a local Ollama model. Only works when features.refinement is enabled in config.yaml.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

thejustinwalsh

thejustinwalsh/claude-restruct-plugin

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SKILL.md

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name	refine-restruct
description	Manually refine a prompt through the local LLM meta-prompt pipeline. Transforms a casual developer request into a structured, rules-aware prompt using a local Ollama model. Only works when features.refinement is enabled in config.yaml.

This skill transforms a casual developer request into a structured, rules-aware prompt using a local Ollama model. It reads project rules from agents.md/CLAUDE.md, gathers git context, and produces XML-structured output with objective, constraints, workflow, uncertainty protocol, and anti-patterns.

The binary is bundled in this plugin — always use the full path:

${CLAUDE_PLUGIN_ROOT}/bin/restruct refine

Usage:

echo '{"prompt":"your prompt here"}' | ${CLAUDE_PLUGIN_ROOT}/bin/restruct refine to refine a prompt
Add --dry-run to preview the refined prompt to stderr without replacing

The refinement pipeline runs entirely locally — no data leaves your machine.

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name	refine-restruct
description	Manually refine a prompt through the local LLM meta-prompt pipeline. Transforms a casual developer request into a structured, rules-aware prompt using a local Ollama model. Only works when features.refinement is enabled in config.yaml.

The binary is bundled in this plugin — always use the full path:

${CLAUDE_PLUGIN_ROOT}/bin/restruct refine

Usage:

echo '{"prompt":"your prompt here"}' | ${CLAUDE_PLUGIN_ROOT}/bin/restruct refine to refine a prompt
Add --dry-run to preview the refined prompt to stderr without replacing

The refinement pipeline runs entirely locally — no data leaves your machine.