Guide structured interviews to create or refine VISION.md documents.
npx skills add https://github.com/lozit/groundrules --skill vision-lozit
Please help me install this Agent Skill. Skill: vision Source: https://github.com/lozit/groundrules/tree/main/skills/vision Command: npx skills add https://github.com/lozit/groundrules --skill vision-lozit
This Skill assists in creating or refining a project's VISION.md file through a structured interview process, addressing the common issues of an incomplete or evolving project vision.
To generate or update the VISION.md file, use the command 'run skill vision'.
High-intent search queries and answers about installing and using this skill.
To create a VISION.md file, this Skill uses a structured interview process to guide you through defining project goals, users, constraints, and scope, resulting in a complete vision document ready for development planning.
Documenting project vision is best achieved through a phase-based interview that prompts you for goals, user considerations, and non-goals, ensuring your developer documentation captures a robust and structured project scope.
To refine an existing project vision, the Skill detects your current VISION.md and conducts an on-demand interview to enhance thin or evolving visions without replacing the initial intent captured during project bootstrap.
Yes, you can use this guided interview for brownfield project management. It is specifically designed for on-demand activation to enhance existing thin visions or build robust documentation for established projects needing scope delineation.
Generating developer documentation involves a phase-based approach: detecting the existing vision, conducting the interview, performing a self-review of the inputs, and writing the final vision document to delineate project scope.
You should avoid using a structured interview for project visioning during a project's initial bootstrap phase, as this Skill is intended for enhancing existing thin visions or brownfield projects rather than replacing initial intent capture tools.
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