What is developer-kit-ai?

A collection of AI and machine-learning guidance for prompt design, retrieval-augmented generation (RAG), and chunking. RAG lets an AI answer using retrieved source material, while chunking splits large material into usable pieces.

Use it to create or improve prompts, prepare documents for AI search and retrieval, and design systems that combine language models with retrieved information.

It gives structure to tasks where an AI must follow better prompts or work with large bodies of information. The included materials focus on prompt engineering, chunking strategies, and RAG.

developer-kit-ai — Plugin by giuseppe-trisciuoglio

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Claude Code

/plugin marketplace add giuseppe-trisciuoglio/developer-kit

agentmods

npx agentmods add plugins/giuseppe-trisciuoglio/developer-kit/developer-kit-ai

Clone the repo

git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit

Made for: Claude Code.

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

developer-kit-ai scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/developer-kit-ai/.claude-plugin/plugin.json · 32 lines

What it actually says

{
  "name": "developer-kit-ai",
  "version": "4.0.0",
  "description": "AI/ML capabilities including prompt engineering, RAG, and chunking strategies",
  "author": {
    "name": "Giuseppe Trisciuoglio",
    "email": "[email protected]"
  },
  "homepage": "https://github.com/giuseppe-trisciuoglio/developer-kit",
  "repository": "https://github.com/giuseppe-trisciuoglio/developer-kit.git",
  "license": "MIT",
  "keywords": [
    "ai",
    "ml",
    "prompt-engineering",
    "rag",
    "chunking",
    "langchain"
  ],
  "agents": [
    "./agents/prompt-engineering-expert.md"
  ],
  "commands": [
    "./commands/devkit.prompt-optimize.md"
  ],
  "skills": [
    "./skills/prompt-engineering",
    "./skills/chunking-strategy",
    "./skills/rag"
  ]
}

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago First seen · 32 lines scan A 40572f2e82d5

Subscribe to this mod's changes

developer-kit-ai is a plugin published in the GitHub repository giuseppe-trisciuoglio/developer-kit (337 stars, last pushed 14d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI Prompting RAG and vectors agents claude-code langchain4j skills spring-boot

contentful

Agent skills for Contentful apps, APIs, migrations, and personalization.

contentful/skills · not measured

opentikz

TikZ resources for academic conceptual diagrams.

opentikz/opentikz · not measured

market-intelligence

Competitive landscape, incentive mapping, positioning, and information asymmetry — strategic-group mapping with mobility-barrier analysis, incentive-driven behavior prediction, positioning trade-off discipline, information-asymmetry analysis, and game-theory-grounded competitive response forecasting.

daddia/claude-for-strategy · not measured

developer-kit-ai

Getting it into your agent

Grade A, and why

Nothing flagged

What it actually says

What this file has done since we first saw it

Other plugins, from other repositories

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