Generate user-facing features from CONTEXT.md and ADRs into FEATURES.md.
npx skills add https://github.com/soulmachine/skills --skill to-features
Please help me install this Agent Skill. Skill: to-features Source: https://github.com/soulmachine/skills/tree/main/to-features Command: npx skills add https://github.com/soulmachine/skills --skill to-features
This Skill facilitates the translation of domain understanding into user-facing features, bridging the gap between conceptual knowledge and actionable requirements.
CONTEXT.md and ADRs.Run the to-features skill after /grill-with-docs to generate FEATURES.md at the repo root, and before /to-prd to refine feature specifications.
High-intent search queries and answers about installing and using this skill.
To generate user-facing features from domain context, you process context documents and architectural decisions to enumerate actionable product features. This bridges domain understanding and product specification by producing a comprehensive feature list derived directly from your project's contextual knowledge.
Transitioning domain understanding into product specifications involves translating conceptual knowledge into actionable feature requirements. By processing domain context and architectural decisions, you create a structured feature list that bridges the gap between high-level domain concepts and concrete product specifications.
Creating a feature list from ADRs and context documents requires analyzing architectural decisions alongside domain context. This process extracts user-facing features and generates a comprehensive feature documentation file, supporting collaborative review and version control alignment for feature tracking.
Yes, markdown is supported for product feature documentation, enabling version control integration for feature tracking. The process generates a markdown file at the repository root, ensuring feature documentation aligns with the project's version control system for collaborative review and refinement.
Yes, Python is a required dependency to enumerate product features from architectural decisions. The feature enumeration process relies on Python scripts to process context documents and generate the feature documentation that bridges domain understanding with product specifications.
Feature specifications should be generated after establishing domain understanding through context documents and before refining detailed product requirements. This intermediate step ensures architectural decisions are translated into actionable user-facing features prior to creating comprehensive product requirement documents.
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