Consult CodeStable knowledge before generating minimal code for small feature tasks.
npx skills add https://github.com/liuzhengdongfortest/CodeStable --skill cs-feat-ff
Please help me install this Agent Skill. Skill: cs-feat-ff Source: https://github.com/liuzhengdongfortest/CodeStable/tree/main/cs-feat-ff Command: npx skills add https://github.com/liuzhengdongfortest/CodeStable --skill cs-feat-ff
This ultra-lightweight pathway lets you jump straight into code for small feature tasks by skipping design docs and checklists, while still guiding the AI to consult the CodeStable knowledge base before starting.
Read the CodeStable knowledge base relevant to your task and start coding immediately, ensuring adherence to project conventions.
High-intent search queries and answers about installing and using this skill.
You can skip design docs for small AI-assisted coding tasks by using a lightweight fast-forward workflow that forces the AI to consult a knowledge base and existing module boundaries before generating minimal, convention-compliant code.
A CodeStable knowledge base is a repository of project conventions, architectural references, learning decisions, and shared scripts that AI scans before coding to ensure generated output adheres to established patterns and minimal-waste guardrails.
Use a fast-forward coding workflow instead of a formal checklist process for small feature tasks that do not justify formal acceptance criteria or design gates, ensuring rapid implementation while still grounding code in project knowledge.
Yes, the lightweight feature workflow explicitly scans shared scripts in codestable/tools and architecture references in codestable/architecture to reuse established patterns and maintain correct module boundaries during code generation.
The limitation of a design-free approach for AI-assisted feature implementation is that it applies only to small tasks, skipping formal acceptance criteria and design docs, making it unsuitable for complex features requiring heavy architectural planning.
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