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neo

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Enables continuous runtime application improvement through autonomous AI agents, reducing manual debugging and maintenance overhead while maintaining system …

Neo.mjs is an open-source JavaScript frontend framework (npm: neo.mjs) for multi-window, high-throughput applications — trading platforms, IDE-class tools, control-room dashboards. The project also runs a multi-model AI 'agent OS' on its own repository (Claude, Gemini, and GPT agents sharing memory) and documents how to point that agent team at your own fork. It is a web framework with AI-assisted development tooling, not a Claude Code skill or plugin.

3,255 starsMIT (commercial OK)FreeQuick setup

Enables continuous runtime application improvement through autonomous AI agents, reducing manual debugging and maintenance overhead while maintaining system stability via self-healing capabilities.

Engineering teams managing complex applications requiring autonomous optimization and incident recovery without constant human intervention.

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https://github.com/neomjs/neo

By neomjs

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
npx neo-app@latest

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Analyze Neo.mjs architecture and identify optimization opportunities in my application
CostFree

Trust Signals Auto-scanned

Stars3,255Contributors86Last updated2026-08-11LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Community Pulse Active

Discussed on Hacker News

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 3,195 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 3,195 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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