AI Feature Implementation
CommunityBuild robust AI features with guardrails.
AuthorBasharAmso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automating AI feature development requires integrating LLM calls, RAG pipelines, and guardrails with robust testing and governance.
Core Features & Use Cases
- LLM integration scaffolding for feature development
- RAG pipelines for document grounding and retrieval
- Guardrails and test harnesses with STATE/DECISIONS logging
- End-to-end lifecycle from PRD to STATE updates
Quick Start
Describe your desired AI feature and run the workflow to generate a production-ready AI service layer.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: AI Feature Implementation Download link: https://github.com/BasharAmso/Bashi/archive/main.zip#ai-feature-implementation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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