reskill

Extract repeated charter and history patterns into shared skills with savings reports.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/sachinnair90/gitgloss --skill reskill-sachinnair90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reskill
Source: https://github.com/sachinnair90/gitgloss/tree/main/.copilot/skills/reskill
Command: npx skills add https://github.com/sachinnair90/gitgloss --skill reskill-sachinnair90

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams reduce agent context overhead by turning repeated charter content, duplicated domain knowledge, and recurring lessons into reusable shared skills.

Core Features & Use Cases

  • Audit and detect overlap: Measures charter and history size, then finds repeated boilerplate, shared technical knowledge, and mature learnings that appear across multiple agents.
  • Extract reusable skills: Promotes recurring patterns into shared skill files so future agents can rely on one canonical source instead of carrying the same context repeatedly.
  • Trim and report savings: Recommends what to remove from charters and histories, then summarizes the expected byte savings from the reskill pass.
  • Use case: A coordinator notices several agents repeating the same collaboration rules and incident lessons, so this Skill identifies the overlap, creates a shared skill, and tells the team what to prune.

Quick Start

Ask the assistant to run a reskill pass on the team’s agent charters and histories, identify repeated patterns worth extracting, and produce trimming and savings recommendations.

Frequently Asked Questions about reskill

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

FAQPage Schema
How do I reduce agent context bloat from repeated charter content?

To reduce agent context bloat, extract repeated charter content, duplicated domain knowledge, and recurring lessons into reusable shared skills. This process audits byte sizes, detects threshold-based patterns, and recommends charter trimming to consolidate overlapping context.

What is the best way to consolidate duplicated domain knowledge across multiple agents?

The best way to consolidate duplicated domain knowledge is running a periodic maintenance pass that detects overlapping boilerplate across multiple agent histories. It promotes recurring patterns into canonical shared skill files and summarizes expected byte savings from the extraction.

Can I automate history summarization for recurring agent learnings?

Yes, you can automate history summarization by applying threshold-based pattern detection to recurring agent learnings. This identifies mature lessons appearing across multiple agents, extracts them into shared skills, and provides a savings report detailing summarized history bytes.

How do I audit byte-size usage in agent charters and histories?

You audit byte-size usage by measuring existing charter and history sizes across multiple agents. The audit identifies repeated boilerplate and shared technical knowledge that exceed detection thresholds, enabling targeted charter trimming and optimized context reduction.

When should I extract shared skills instead of keeping context in individual agent charters?

You should extract shared skills when a coordinator notices several agents repeating the same collaboration rules and incident lessons. Extracting recurring patterns into a canonical source prevents carrying duplicated context repeatedly and generates measurable byte savings.