skill-trainer-knowledge

Consolidate institutional knowledge on building, testing, and evaluating Copilot Agent Skills.

4|1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/lewing/agent-plugins --skill skill-trainer-knowledge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-trainer-knowledge
Source: https://github.com/lewing/agent-plugins/tree/main/plugins/skill-trainer/skills/skill-trainer-knowledge
Command: npx skills add https://github.com/lewing/agent-plugins --skill skill-trainer-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides institutional knowledge about how skills are built, tested, and improved for SkillTrainer workflows, helping teams standardize practices and accelerate development.

Core Features & Use Cases

  • Frontmatter rules, INVOKES patterns, stop signals, token budgets, anti-patterns, and eval integration are documented to guide skill creation and governance.
  • Reference materials and templates support training logs, Arena eval planning, and cross-project consistency.

Quick Start

Review the included references to understand standard SkillBuilder patterns and apply them to design, test, and evaluate skills.

Frequently Asked Questions about skill-trainer-knowledge

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

FAQPage Schema
How do I standardize Copilot Agent skill-building patterns across my team?

To standardize Copilot Agent skill-building patterns, you consolidate institutional knowledge covering frontmatter rules, INVOKES patterns, and anti-patterns into reusable references. This ensures cross-project consistency by guiding developers through creation, testing, and evaluation workflows.

What are the common anti-patterns and token budget rules when building skills?

Common anti-patterns and token budget rules are documented as reference materials to guide skill creation. They help developers avoid structural mistakes, manage token limits effectively, and ensure frontmatter correctness during the SkillBuilder workflow.

How do I integrate Arena evaluation planning into skill training workflows?

Arena evaluation planning integrates into skill training through documented templates and governance logs. This ensures skills are systematically tested and evaluated, applying standardized reference materials to validate performance and maintain cross-project consistency.

Can I use reference loading discipline to govern training logs for multiple skills?

Yes, reference loading discipline governs training logs by organizing institutional knowledge into reusable references. This supports training-log governance, ensuring that skill-building patterns, evaluation templates, and stop signals are consistently applied across multiple skills.

What is the best way to document stop signals and frontmatter correctness for skill evaluation?

The best way to document stop signals and frontmatter correctness is by loading them into structured reference materials. This approach satisfies evaluation-template guidance and ensures knowledge is organized, reusable, and consistently applied across skill-testing workflows.