What problem does it solve?
This Skill solves the pervasive problem of lost, unstructured context across AI co-development sessions and cross-team collaboration, which leads to duplicated work, inconsistent project knowledge, and hours of wasted time re-explaining project context to new agents or collaborators.
Core Features & Use Cases
- Standardized context-v/ structure: Enforces a consistent six-folder directory layout aligned with cognitive modes (Prep, Reflective, Journey) for organizing living specifications, implementation prompts, architecture blueprints, AI guardrails, research explorations, and debugging issue logs.
- Consistent context conventions: Defines baseline YAML frontmatter rules, four-part epoch.major.minor.patch versioning, wikilink cross-reference standards, and status discipline to make all context docs loadable and discoverable for both humans and AI agents.
- Use Case: A team building a suite of Astro sites can use this framework to keep implementation specs, architecture blueprints, and debugging journeys organized, so any agent or new team member can quickly orient to the project without rework.
Quick Start
Ask your AI agent to set up a standardized context-v/ directory structure for your current project, following the six-folder convention and baseline frontmatter rules outlined in the Skill.
