msia-prompts

Canonicalize prompt governance by assigning single homes and preventing duplicates.

Updated Jan 7, 2026
One-click install
npx skills add https://github.com/pepeccz/msi-a --skill msia-prompts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: msia-prompts
Source: https://github.com/pepeccz/msi-a/tree/main/skills/msia-prompts
Command: npx skills add https://github.com/pepeccz/msi-a --skill msia-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompts governance for the agent system by ensuring every rule has a single canonical home, preventing duplicates and conflicts across the prompts repository.

Core Features & Use Cases

  • Canonical Location Map: One true home per rule type to avoid duplication.
  • Token budgets & governance: Provides budgeting guidance and change-control workflows.
  • Pre-edit guidance: Checklists and references to ensure safe, auditable edits.

Quick Start

Load this skill before editing any file under agent/prompts/**/*.md.

Frequently Asked Questions about msia-prompts

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

FAQPage Schema
How do I prevent duplicate rules and conflicts across my agent prompts repository?▼

Preventing duplicate rules across agent prompts requires a canonical location map that assigns every rule type a single home. This governance approach eliminates conflicts by enforcing structure and preventing redundant instructions across your prompt files.

What is a canonical location map in prompt engineering?▼

A canonical location map in prompt engineering is a governance structure that gives every rule a single, true home within your repository. It prevents duplicates and conflicts across core modules and mode files by strictly managing where specific instructions must reside.

How do I manage token budgets when editing agent prompts?▼

Managing token budgets when editing agent prompts requires dedicated governance workflows that track and allocate token limits across core modules and mode files. A pre-edit checklist ensures changes remain within budget while maintaining structural safety and preventing anti-patterns.

How do I perform safe edits on files under agent prompts markdown?▼

Safe edits on agent prompt markdown files require loading a governance skill before modifying any file under agent/prompts/**/*.md. This enforces a pre-edit checklist and an auditable workflow, ensuring changes do not introduce anti-patterns or duplicate rules.

What is the best way to enforce safety checks and structure in prompt engineering?▼

The best way to enforce safety checks and structure in prompt engineering is through an auditable prompt-systems workflow. This workflow applies lint-tests and a pre-edit checklist to guide changes, ensuring all edits follow canonical location rules and avoid known anti-patterns.

When do I need canonical prompt governance for my agent system?▼

You need canonical prompt governance when your agent system grows large enough that rule duplication and conflicts across markdown files become unmanageable. Implementing a single canonical home per rule type with token budgeting prevents these structural issues before they degrade agent performance.