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flow-next

Skill Productivity Solid

Plan-first AI workflow plugin for Claude Code, OpenAI Codex, and Factory Droid. Zero-dep task tracking, worker subagents, Ralph autonomous mode, cross-model reviews.

574 starsMIT (commercial OK)FreeQuick setup

Structures multi-step AI workflows with explicit planning and task tracking, reducing hallucination and improving auditability for production systems. Enables worker agents and cross-model review without external dependencies.

Teams running complex, multi-stage AI tasks that need deterministic execution paths, task visibility, and verification across different model providers.

Claude Code Claude Cowork Claude Chat

https://github.com/gmickel/flow-next

By gmickel

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 gmickel/flow-next

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

CostFree

Trust Signals Auto-scanned

Stars574Contributors8Last updated2026-04-24LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-25 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

15 mentions across 2 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 574 GitHub stars; 8 contributors; last commit 26d ago; license MIT.

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
4/5
Reliability
4/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 574 GitHub stars; 8 contributors; last commit 26d ago; license MIT.

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