reskill

Audit team charters and histories to extract recurring patterns into reusable skills.

Updated Mar 27, 2026
One-click install
npx skills add https://github.com/lbouriez/Squad-Templates --skill reskill-lbouriez
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reskill
Source: https://github.com/lbouriez/Squad-Templates/tree/main/Nectari-Devops-Squad/.copilot/skills/reskill
Command: npx skills add https://github.com/lbouriez/Squad-Templates --skill reskill-lbouriez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Team charters and historical records often diverge, bloating context and slowing decision-making. This skill provides a structured approach to condense, align, and reuse knowledge by extracting patterns into shareable skills.

Core Features & Use Cases

  • Audit charters and histories to identify boilerplate patterns and duplicated knowledge across agents.
  • Extract recurring patterns into reusable skills under .squad/skills and reference them from charters.
  • Trim excess per-agent content to improve memory efficiency while preserving essential domain knowledge and unique context.

Quick Start

Run reskill to audit current charters and histories, identify recurring patterns, and promote them to reusable skills.

Frequently Asked Questions about reskill

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

FAQPage Schema
How do I extract recurring patterns from team charters into reusable skills?

Pattern promotion in multi-agent squads works by auditing existing charters and histories to identify boilerplate patterns, extracting that duplicated knowledge into reusable skills, and then trimming the excess per-agent content to reduce memory bloat.

Why does bloated agent history slow down decision-making and how do I fix it?

To audit multi-agent squad charters for duplicated knowledge, you need a documented workflow. The audit reviews charters and histories to identify boilerplate patterns and duplicated knowledge across agents so it can be extracted into reusable skills.

What is the best way to optimize team charters for multi-agent squads?

Yes, trimming excess per-agent content improves memory efficiency while preserving essential domain knowledge. The skill audits historical records, extracts recurring patterns into reusable skills, and removes duplicated knowledge from individual agent charters.

Do I need a documented workflow to extract skills from team charters?

You should not use this approach if your team lacks a documented workflow for audit, extract, and trim steps, or if you have no canonical location designated for promoted skills. It requires structured historical records to function effectively.