One-click install
npx skills add https://github.com/snow-jallen/HomeSpeaker --skill reskill-snow-jallen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reskill
Source: https://github.com/snow-jallen/HomeSpeaker/tree/main/.copilot/skills/reskill
Command: npx skills add https://github.com/snow-jallen/HomeSpeaker --skill reskill-snow-jallen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Team charters and histories often duplicate boilerplate and domain knowledge, leading to bloated per-agent context. This Skill enables a structured maintenance pass that reduces redundancy by extracting recurring patterns into reusable skills that can be shared across the team.

Core Features & Use Cases

  • Audit charters and histories to measure size and identify boilerplate, shared knowledge, and mature learnings.
  • Extract identified patterns by creating or updating skills at .squad/skills/{skill-name}/SKILL.md, following the skill template format and assigning a confidence level.
  • Trim and promote: refine charters and histories to reduce noise, and promote recurring patterns into skills for scalable reuse.

Quick Start

Initiate a reskill pass when charter/history bloat is suspected and review the resulting skills under .squad/skills

Frequently Asked Questions about reskill

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

FAQPage Schema
How do I reduce boilerplate bloat in team agent charters and histories?

To reduce charter bloat, run a maintenance pass that audits agent histories to identify boilerplate text and shared domain knowledge, then extracts recurring patterns into reusable skills. This structured workflow trims redundant context while preserving mature learnings.

What is the best way to extract recurring patterns into reusable skills for an AI team?

The best way to extract recurring patterns is to audit charters for shared knowledge, create or update skill files under a dedicated skills directory using a standard template, and assign a confidence level to each extracted skill for scalable team reuse.

How does pattern extraction from team histories improve agent context optimization?

Pattern extraction improves context optimization by identifying mature learnings and boilerplate across agent histories, then promoting them into shared skills. This trims noisy per-agent context and replaces duplicated text with reusable, confidence-scored skills.

Can I automate knowledge management by extracting shared domain knowledge from multiple agent charters?

Yes, you can automate knowledge management by running a periodic reskill pass that audits all charters, identifies shared domain knowledge, and automatically creates or updates skill files to consolidate and promote recurring information for the entire team.

Do I need frontmatter in my skill files when extracting patterns from team charters?

Yes, frontmatter with a name and description is required when creating or updating extracted skill files. This metadata ensures the newly promoted skills remain discoverable and properly documented within the team's shared knowledge structure.

When should I not use a skill extraction pass for team charter maintenance?

You should avoid a skill extraction pass if your charters lack recurring patterns or shared domain knowledge, as the audit requires sufficient boilerplate or mature learnings to identify, extract, and promote into reusable skills effectively.