sibyl-envision

Guide product vision framing from README content with personas and MVP boundary.

Updated Aug 23, 2026

Search Tags:#collaboration #product vision #project development #product framing #envisioning

Ready to run

npx skills add https://github.com/memorysaver/SIBYL --skill sibyl-envision

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sibyl-envision
Source: https://github.com/memorysaver/SIBYL/tree/main/apps/harness/skills/sibyl-envision
Command: npx skills add https://github.com/memorysaver/SIBYL --skill sibyl-envision

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill aids in clarifying and structuring product vision during the envisioning phase of project development, ensuring a clear and focused product direction.

Core Features & Use Cases

Structured Envisioning: Guides the user through a process to define the target user, activity backbone, end-to-end slices, and MVP boundary.
README Integration: Utilizes the README.md as the primary source of information to minimize ambiguity and streamline the envisioning process.
Proposal Iteration: Allows the user to propose and iterate on the product framing in collaboration with the AI, leading to a refined vision.

Quick Start

To begin envisioning, run the 'sibyl-envision' skill with the current README file.

Frequently Asked Questions about sibyl-envision

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

FAQPage Schema

How do I frame a product vision from a README file?▼

To frame a product vision from a README file, the Skill extracts committed content and guides you to define user personas, activity backbone, end-to-end slices, and MVP boundary through structured envisioning.

What is structured envisioning in project development?▼

Structured envisioning is a process to clarify and structure product direction during early project development, ensuring a focused outcome by iteratively defining the target user and MVP boundary.

How do I define an MVP boundary with AI collaboration?▼

You define an MVP boundary with AI collaboration by proposing and iterating on product framing based on your README content, allowing the AI to refine the vision and scope iteratively.

Can I use this envisioning process without a committed README?▼

Using this envisioning process without a committed README is not recommended, as it relies on the README as the primary source to minimize ambiguity and accurately define the activity backbone.

What's the best way to define user personas and end-to-end slices?▼

The best way to define user personas and end-to-end slices is through a guided iteration that proposes product framing based on committed documentation, refining the vision collaboratively.

Why do I need to define an activity backbone for my product vision?▼

You need to define an activity backbone for your product vision to establish a clear end-to-end structural flow, ensuring the envisioning phase produces a focused and actionable MVP boundary.