Distill cross-cutting principles from multiple skills into rules.
npx skills add https://github.com/Sake-Team/SmartSake --skill rules-distill-sake-team
Please help me install this Agent Skill. Skill: rules-distill Source: https://github.com/Sake-Team/SmartSake/tree/main/backup/skills/rules-distill Command: npx skills add https://github.com/Sake-Team/SmartSake --skill rules-distill-sake-team
This Skill streamlines the process of extracting common principles from multiple skills, creating, revising, or appending rules that maintain consistency and completeness in a skillset.
To initiate the rules distillation process, execute: bash ~/.claude/skills/rules-distill/scripts/scan-skills.sh
High-intent search queries and answers about installing and using this skill.
You can extract cross-cutting principles from multiple skills by running a script that collects a comprehensive skill inventory, then uses LLM judgment to identify shared principles and generate or revise rules for skillset consistency.
Automating rule generation during skillset maintenance involves using deterministic scripts to scan installed skills and applying LLM analysis to distill cross-cutting principles into actionable rule files.
You need to distill principles from your installed skills into rules when a skillstocktake reveals recurring patterns that should be standardized or when periodic maintenance of rules is required to maintain completeness.
Yes, the rule generation process supports appending new principles to existing rule files, alongside creating new rules or revising current ones to ensure your skillset remains consistent and up-to-date.
LLM analysis works alongside deterministic scripts by using the scripts to collect a comprehensive skill inventory, while the LLM provides contextually informed decisions to extract cross-cutting principles and generate rules.
Automated rule distillation for skillset optimization relies on LLM judgment for contextually informed decisions, meaning the quality of generated rules depends on the LLM's ability to accurately identify shared principles across the collected skill inventory.
sumeetonline90Extract repeated cross-cutting principles from installed skills into standardized rule reports.
CaufieldZAudit cross-file consistency across PRD deliverables and scene lists.
vrcmsScan installed skills and rules to extract codifiable principles.
ROYCE-8425Distill cross-cutting principles from multiple skills into actionable rules.
