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prompt-pack

Generate self-contained prompt packs from project specifications with code patterns.

2|Updated Mar 1, 2026
Search Tags:#developer tools#prompt engineering#code generation#ai agents#spec driven development#prompt pack
One-click install
npx skills add https://github.com/pe-menezes/vibeflow-claude --skill prompt-pack
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-pack
Source: https://github.com/pe-menezes/vibeflow-claude/tree/main/skills/prompt-pack
Command: npx skills add https://github.com/pe-menezes/vibeflow-claude --skill prompt-pack

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of self-contained prompt packs, ensuring that coding agents can implement features accurately by embedding project-specific code patterns and conventions directly within the prompt.

Core Features & Use Cases

  • Generates self-contained prompts: Creates a single prompt file that includes objective, Definition of Done, anti-scope, and real code patterns.
  • Embeds project conventions: Ensures any coding agent follows project standards without needing full repository context.
  • Use Case: When handing off implementation to a different agent or session, use this Skill to generate a prompt pack from a spec, guaranteeing the new agent adheres to existing code styles and patterns.

Quick Start

Generate a prompt pack from the login-flow spec file.

Frequently Asked Questions about prompt-pack

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

FAQPage Schema
How do I generate self-contained prompt packs from project specifications?▼

To generate self-contained prompt packs, this Skill reads project specifications and embeds real code patterns, conventions, objective, Definition of Done, and anti-scope directly into a single prompt file for AI coding agents.

What is a self-contained prompt pack for AI coding agents?▼

A self-contained prompt pack is a single file that provides AI coding agents with an objective, Definition of Done, anti-scope, and real code examples, ensuring adherence to project standards without needing full repository context.

How do I ensure an AI agent follows existing project conventions when handing off code generation?▼

You ensure AI agents follow project conventions by embedding real code patterns and standards within the generated prompt pack, allowing the new session to replicate existing styles without accessing the entire repository.

Does prompt pack generation validate specification size before creating the prompt file?▼

Yes, prompt pack generation validates the specification size against Definition of Done checks and budget limits before creating the final prompt file to ensure the output remains within manageable constraints.

When do I need to use prompt packs for spec driven development?▼

You need prompt packs for spec driven development when handing off implementation tasks to different agents or sessions, guaranteeing the new agent accurately implements features according to pre-defined specifications.

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