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nimbalyst

Skill Documents & Content Solid
Works inClaude Code
Solid Scanned — metadata only

Coordinates parallel AI coding agents and centralizes artifact editing, reducing context switching and integration friction when multiple Claude instances co…

Nimbalyst - The open-source visual workspace for Claude Code, Codex, and OpenCode. Run multiple coding agents in parallel, edit their work visually in markdown, mockups, and diagrams, and track tasks. Free, MIT-licensed desktop app for macOS, Windows, Linux, with mobile companion for iOS and Android.

1,741 starsMIT (commercial OK)FreeQuick setup

Coordinates parallel AI coding agents and centralizes artifact editing, reducing context switching and integration friction when multiple Claude instances collaborate on complex features.

Engineering teams running multi-agent AI workflows who need unified visual task tracking and collaborative artifact management.

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https://github.com/nimbalyst/nimbalyst

By nimbalyst

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
claude plugins install nimbalyst/nimbalyst

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

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me run multiple AI coding agents in parallel to accelerate feature development and compare implementations
CostFree

Trust Signals Auto-scanned

Stars1,741Contributors47Last updated2026-09-18LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-19 · scanner v1

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): 1,682 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 SolidEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 1,682 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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