flow-next
Structures multi-step AI workflows with explicit planning and task tracking, reducing hallucination and improving auditability for production systems.
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.
- Break down large code generation tasks into planned subtasks with agent workers
- Run same workflow across Claude and OpenAI, compare outputs before deployment
- Track task execution state and audit trail for compliance-heavy workflows
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.
https://github.com/gmickel/flow-next
By gmickel
How to Get It
/plugin marketplace add https://github.com/gmickel/flow-next — then /plugin install flow-next, /reload-plugins, and /flow-next:setup
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me break down large code generation tasks into planned subtasks with agent workers
Trust Signals Auto-scanned
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Discussed on Hacker News, Reddit
- Governments responsible for 40% of the world’s coastlines have pledged to end ov — Reddit · 25839 pts
- For those of you taking Diff EQs next semester, here’s a flow chart to determine — Reddit · 6096 pts
- Holy crap the bullish OTM orders that just flowed in for the next week🤯🤯🤯. Someo — Reddit · 6073 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 684 GitHub stars; 9 contributors; last commit 1d 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.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 684 GitHub stars; 9 contributors; last commit 1d ago; license MIT.