stevesolun

stevesolun / ctx

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Real-time skill and agent recommendation engine for Claude Code — watches what you develop, walks a knowledge graph of 1,800+ skills and agents, and suggests the right ones on the fly. Powered by a Karpathy LLM wiki with persistent memory.

agents ai-agents anthropic automation claude
10
2
100% credibility
Found Apr 12, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A recommendation system for skills and agents in Claude Code that builds a knowledge graph from your projects and usage to suggest relevant ones dynamically.

How It Works

1
🔍 Discover ctx

You hear about ctx, a helpful companion that makes your AI coding assistant smarter by suggesting the best skills for your project.

2
📦 Set it up once

Run a simple setup script that organizes your skills into a smart library and connects everything automatically.

3
🚀 Start your coding session

Open your project with your AI assistant, and ctx quietly scans what technologies you're using.

4
💡 Get smart suggestions

Ctx recommends a short list of the most relevant skills and helpers tailored to your project, revealing connections you didn't know about.

5
✅ Pick and load what you need

Choose which suggestions to add—nothing loads without your okay—and your assistant instantly gets better at your task.

6
🔄 Suggestions as you work

While coding, ctx watches your actions and offers more spot-on recommendations if new needs pop up.

🎉 Smarter sessions every time

Over time, ctx learns from your choices, flags unused skills, and keeps your assistant perfectly tuned for future projects.

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AI-Generated Review

What is ctx?

ctx monitors your Claude Code sessions in real-time, scanning repos for tech stacks like FastAPI or Docker, then traversing a knowledge graph of 1,450+ skills and 427 agents to suggest the best matches at startup and mid-session via tool hooks. It maintains a persistent wiki tracking usage, flagging stale skills and converting long ones to incremental pipelines, all in Python with one-bash install. Users get precise, approval-only loads to cut context bloat and uncover related tools via github real time data.

Why is it gaining traction?

Unlike flat skill directories, ctx delivers graph-powered discovery (e.g., FastAPI pulls Pydantic/async patterns) and real-time intelligence applied skills updates from tool calls, with persistent memory that learns your habits. Real time dashboard github-style monitoring and CLI maintenance like `wiki_orchestrator.py --check` make it hands-off yet tunable—no other tool auto-ingests 1,800+ entities with health scores.

Who should use this?

Claude Code power users juggling 100+ skills for Python APIs, React apps, or Kubernetes deploys; backend devs needing real time analyst skills for health checks or real time api github integrations; AI builders optimizing agent teams without token waste.

Verdict

Promising for Claude workflows but early-stage (10 stars, 1.0% credibility)—docs shine, tests pass (121/121), yet low traction means watch for bugs. Install if skills overwhelm you; skip for casual use.

(187 words)

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