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sumeetonline90
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rules-distill

Extract repeated cross-cutting principles from installed skills into standardized rule reports.

Updated Jun 25, 2026
Search Tags:#AI workflow#team rules#skill analysis#rule maintenance#rule distillation#principle extraction#cross-cutting principles
One-click install
npx skills add https://github.com/sumeetonline90/fitup_all --skill rules-distill-sumeetonline90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rules-distill
Source: https://github.com/sumeetonline90/fitup_all/tree/main/.cursor/skills/rules-distill
Command: npx skills add https://github.com/sumeetonline90/fitup_all --skill rules-distill-sumeetonline90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, and includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the tedious, error-prone manual work of identifying repeated cross-cutting principles across your installed skills and converting them into standardized, actionable team rules, ensuring consistent guidance across your entire workflow library.

Core Features & Use Cases

  • Automated Inventory: Scans all installed global and project-level skills plus existing rule files to build a complete index of content and structure.
  • Cross-Principle Detection: Identifies principles that appear in 2 or more skills, filtering out one-off guidance that should stay in individual skills.
  • Structured Distillation Reports: Generates clear, actionable verdicts (append, revise, new rule, etc.) for each candidate principle, with evidence and draft rule text for user approval.
  • Use Case: If 3 of your skills all emphasize validating LLM output before reuse, this Skill will flag that pattern, cite the relevant skill sections, and draft the exact rule text to add to your security guidelines.

Quick Start

Use the rules-distill skill to scan all your installed skills and generate a report of cross-cutting principles that qualify for promotion to your team's rule files.

Frequently Asked Questions about rules-distill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract cross-cutting principles from multiple installed skills?▼

To extract cross-cutting principles, this skill scans your installed skills and rule files to build an inventory, then applies an LLM cross-reading to identify principles appearing in 2 or more skills for distillation.

What is the best way to standardize team rules across an AI workflow library?▼

Standardizing team rules across an AI workflow library involves detecting redundant guidance across skills and generating structured distillation reports with actionable verdicts and draft rule text for user approval.

How do I perform a post-skill-installation audit for duplicate guidance?▼

Performing a post-skill-installation audit requires deterministic script-based inventory collection of skills and rule files, followed by LLM cross-reading to validate principle eligibility against a 2+ skill occurrence threshold.

Do I need jq installed to distill rules from my skill collections?▼

Yes, you need jq installed to distill rules from skill collections, because the skill relies on deterministic script-based inventory collection to parse and index the content and structure of installed skill files.

When should I run rule maintenance on my active skill collections?▼

You should run rule maintenance on active skill collections periodically or after installing new skills to perform gaps analysis between existing team rules and active skills, eliminating unstandardized guidance.

What limitations exist when filtering one-off guidance from individual skills?▼

When filtering one-off guidance, a key limitation is the 2+ skill occurrence threshold; principles appearing in only one skill are excluded from promotion to team rules and must remain in their individual skill files.

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