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eavichay
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change-levelup

Standardize team AI directives into a centralized repository with automated pull request generation.

Updated Jul 7, 2026
Search Tags:#automation#workflow#documentation#governance#knowledge-management#directives
One-click install
npx skills add https://github.com/eavichay/mycli --skill change-levelup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: change-levelup
Source: https://github.com/eavichay/mycli/tree/main/.cursor/skills/change-levelup
Command: npx skills add https://github.com/eavichay/mycli --skill change-levelup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of inconsistent team knowledge management by providing a structured, automated workflow for contributing rules, personas, and examples to a centralized directive repository.

Core Features & Use Cases

  • Automated CDR Generation: Automatically formats and validates Context Directive Records (CDRs) based on user input.
  • Quality Gates: Enforces signal strength and conflict detection to ensure only high-value, non-duplicative directives are added.
  • Use Case: When a team identifies a new security pattern or coding convention, this skill guides the user through the entire lifecycle from classification to PR creation, ensuring the new directive is properly indexed and searchable.

Quick Start

Initiate the change levelup process by providing a clear description of the new rule or persona you wish to contribute to the team directives.

Frequently Asked Questions about change-levelup

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

FAQPage Schema
How do I standardize team AI directives across our projects?▼

You can standardize team AI directives by contributing rules, personas, and examples into a centralized repository, using automated validation and pull request generation to enforce consistency.

What is a Context Directive Record and how does it manage team knowledge?▼

A Context Directive Record (CDR) is a structured schema for classifying and validating team knowledge signals, ensuring new AI rules and personas are properly indexed and searchable before being merged.

How do I automate the workflow for contributing new coding conventions to AI governance?▼

You initiate the process by describing the new convention, which triggers automated CDR formatting, conflict detection, and pull request generation against your version-controlled team directives repository.

Does this directive management workflow require a specific repository setup?▼

Yes, this workflow requires integration with a version-controlled team-ai-directives repository and strict adherence to the specified CDR schema for automated contribution processing.

How does the system prevent duplicate or conflicting AI rules from being added?▼

The system enforces quality gates through signal strength validation and conflict detection, ensuring only high-value, non-duplicative directives are accepted into the centralized knowledge repository.

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