skills.rest
eavichay
eavichayCOMMUNITY
Explore all skills by this author →
GitHub

levelup-implement

Compile accepted Context Directive Records into verified documentation and draft PRs.

Updated Jul 7, 2026
Search Tags:#automation#git#architecture#documentation#cdr#memory-engineering
One-click install
npx skills add https://github.com/eavichay/mycli --skill levelup-implement-eavichay
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: levelup-implement
Source: https://github.com/eavichay/mycli/tree/main/.cursor/skills/levelup-implement
Command: npx skills add https://github.com/eavichay/mycli --skill levelup-implement-eavichay

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill automates the complex, multi-step process of moving accepted Context Directive Records (CDRs) from local drafts into the team-ai-directives repository, ensuring consistency and memory integrity.

Core Features & Use Cases

  • Automated Context Publishing: Transforms accepted CDRs into standardized rule, persona, and example files with mandatory memory verification metadata.
  • Signal Gate Validation: Enforces strict quality control by filtering out CDRs that lack concrete evidence or team-wide applicability.
  • Cross-System Conflict Detection: Automatically identifies duplicate targets or rule conflicts across sub-systems before implementation.
  • Use Case: When a team finishes a sprint and has several accepted architectural decisions, this skill compiles them into a single, verified PR for the team-ai-directives repository, maintaining the team's shared knowledge base.

Quick Start

Run the levelup-implement skill to compile all accepted CDRs into a draft PR for the team-ai-directives repository.

Frequently Asked Questions about levelup-implement

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

FAQPage Schema
How do I automate publishing accepted architectural decisions to a team repository?▼

Automating memory engineering involves compiling Context Directive Records into structured context modules for the team-ai-directives repository. It validates signal quality, detects cross-system conflicts, and generates verified documentation with mandatory memory metadata.

What is a Context Directive Record and when do I need to implement it?▼

A Context Directive Record is a captured architectural decision needing team-wide implementation. You need to implement accepted CDRs when your team finishes a sprint and requires those decisions compiled into a shared knowledge base for consistent AI directives.

How do I compile multiple architectural decisions into a single Git pull request?▼

Compiling decisions into a Git PR requires transforming accepted CDRs from local draft directories into standardized context modules. The process detects duplicate targets or rule conflicts across sub-systems before generating the verified pull request.

Does automated context publishing support cross-system conflict detection for sub-systems?▼

Automated context publishing supports cross-system conflict detection by scanning local draft directories to identify duplicate targets or rule conflicts across sub-systems. It enforces signal gate validation, filtering out directives lacking concrete evidence before generating files.

What are the limitations of automated memory engineering for team-wide standards?▼

A limitation of automated memory engineering is strict signal gate validation, which rejects CDRs lacking concrete evidence or team-wide applicability. It also requires local draft directories to operate and cannot process directives with unresolved cross-system conflicts.

Related Skills

Explore More Software Engineering Skills→
eavichayeavichay

levelup-init

Scan brownfield codebases to generate Context Directive Records.

Community
Advanced
chaimtchaimt

adlc-levelup-implement

Transform accepted CDRs into a draft pull request for team-ai-directives.

Community
Advanced
h4vzzh4vzz
33

version-control

Manage Git repositories and collaborative workflows across GitHub, GitLab, and Bitbucket.

Community
Advanced
OmniNode-aiOmniNode-ai
3

decision-store

Records, queries, and checks architectural decisions for conflicts.

Official
Advanced