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Replaced unclaimed @my-org/internal-lib example with real, claimed scope (@microsoft) and explicit example disclaimer. Added guidance to never reference unclaimed package names in documentation. Reported by Noam at Blue Bear Security. Bumps version to 3.0.1.
Developer Kit AI Plugin
AI/ML capabilities for Claude Code — prompt engineering, Retrieval-Augmented Generation (RAG), and document chunking strategies.
Overview
The developer-kit-ai plugin provides specialized skills and agents for building AI-powered applications. It covers the full lifecycle of LLM integration: from prompt design and optimization, to RAG pipeline implementation, to document chunking strategies for vector databases.
Components
Skills
| Skill | Description | Reference Files |
|---|---|---|
prompt-engineering |
Write, debug, and optimize prompts for LLMs. Covers few-shot learning, chain-of-thought, system prompt design, and template composition. | 5 reference files |
rag |
Implement document chunking, embedding, vector storage, and retrieval pipelines for RAG systems. Includes LangChain4j examples. | 5 reference files + 2 assets |
chunking-strategy |
Generate chunk size recommendations (256–1024 tokens), overlap percentages (10–20%), and semantic boundary detection methods. | 8 reference files |
Agents
| Agent | Description |
|---|---|
prompt-engineering-expert |
Expert agent for advanced prompting techniques, LLM optimization, and AI system design. Specializes in CoT, constitutional AI, and production prompt strategies. |
Commands
| Command | Description |
|---|---|
/developer-kit-ai:devkit.prompt-optimize |
Optimize prompts using advanced techniques (CoT, few-shot, constitutional AI) with three levels: basic, standard, advanced. |
Dependencies
developer-kit-core(required by all Developer Kit plugins)
Usage
This plugin is typically used alongside:
developer-kit-java— LangChain4j integration with Java examplesdeveloper-kit-python— Python AI/ML developmentdeveloper-kit-typescript— TypeScript/JavaScript AI integrations
Documentation
See docs/ for detailed guides:
docs/README.md— Plugin overview and quick startdocs/guide-agents.md— Agent capabilities and usagedocs/guide-commands.md— Command reference with examples