Fandry96

Fandry96 / k3-agentic-skills

Public

50+ AI agent skills + local semantic search powered by Gemma. No API keys required.

12
4
100% credibility
Found Apr 09, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A curated collection of 77 reusable instruction files to enhance AI coding assistants, plus optional local search over skills and offline AI setup.

How It Works

1
🔍 Discover Smart Skills

You hear about a collection of ready-made instructions that make AI coding helpers much smarter and decide to try them.

2
📥 Get the Skills

Download the folder of helpful guides that your AI can use right away.

3
📂 Add to Your Project

Copy the guides into a special folder in your coding project so your AI finds them automatically.

4
🧠 AI Gets Supercharged

Your AI coding helper now knows dozens of expert tricks and starts solving tasks faster and better.

5
Want Even More?
🔍
Add Search Helper

Set up a simple tool to quickly find the best guide for any task.

➡️
Skip Ahead

Jump straight to using your upgraded AI.

🚀 Coding Magic Unlocked

Your AI now builds amazing projects with expert knowledge, all working locally on your machine.

Sign up to see the full architecture

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Star Growth

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AI-Generated Review

# What is k3-agentic-skills?

This Python repo delivers over 50 ready-to-use AI agent skills—structured prompt templates that supercharge coding IDEs like Cursor, Claude Code, and Antigravity. Drop them into your project's skills folder, and agents automatically pick the right one for tasks like React patterns, security audits, or multi-agent orchestration. Bonus: local semantic search via Gemma embeddings lets you query your docs and skills offline, no API keys needed.

# Why is it gaining traction?

In a sea of cloud-dependent agent tools, this stands out for zero-cost local runs—embeddings in under 200MB RAM, queries in milliseconds. Developers love the plug-and-play skills covering frontend, backend, DevOps, and agentic flows, turning generic AI into specialists without prompt engineering. It's like top 50 GitHub projects for launching 50+ AI agents, but fully offline and IDE-native.

# Who should use this?

AI-assisted coders in Cursor or Claude Code building agentic apps, frontend devs needing React/Next.js patterns, or backend teams handling auth/Stripe integrations. Ideal for security-focused roles auditing codebases or orchestrating multi-agent tasks without vendor lock-in.

# Verdict

Grab it if you're evaluating local agent skills—77 production-grade templates give instant value in supported IDEs. Low 1.0% credibility and 12 stars signal early days with thin docs, but Apache 2.0 and active categories make it a solid starter over writing prompts from scratch. Test the semantic search; scale if it fits your workflow. (187 words)

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