Open Dynamic Workflows
SkillFiles & storageLets your agent break a big task into a plan and run several agents in parallel to check each other's work.
Use Open Dynamic Workflows in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Open Dynamic Workflows and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Open Dynamic Workflows skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
Dynamic multi-agent workflows, plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when the user asks for a "workflow", says "ultracode", or hands you a task spanning many files/items that benefits from parallel agents.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/Suraj1235/open-dynamic-workflows/skills/odw/SKILL.md and read by ahel’s review.
You orchestrate large tasks through an explicit plan and a local daemon instead of improvising. The scripts referenced below live next to this skill in scripts/.
Model & API key (read this first)
Codex exposes no API for an extension to invoke its own model, so — unlike the OpenCode plugin, which runs ODW's real engine through OpenCode's configured model with no extra key — there are exactly two honest paths here:
- No-key path (Native fallback): you, Codex, orchestrate the task with your own model and native subagents (platform-capped, ~6 concurrent). This uses no extra key, but it is not the ODW engine — no sandbox, no 100-way fan-out, no crash-resume, no budget hard-stop.
- Full-engine path (Daemon): the real ODW engine runs in the local daemon, which uses its own provider key in
~/.odw/config.json(Anthropic / OpenAI-compatible / Ollama — Ollama is keyless/local). This is the only way to get the full engine on Codex today.
There is no middle option unless/until Codex ships a host-model API or MCP sampling. Pick the path based on whether the daemon is up (Step 0).
Step 0 — Daemon check
Run: node scripts/daemon-bridge.js --check
- Exit 0 → daemon is up; use the daemon path.
- Exit 1 → daemon is down; use the native fallback path (and mention once that the daemon installs from github.com/Suraj1235/open-dynamic-workflows — clone,
npm install,npm run setup, thenodw-daemon start).
Daemon path
- Plan:
node scripts/daemon-bridge.js plan "<the user's task>"— prints a JSON plan: task graph, topology (mapreduce / pipeline / adversarial / consensus / treesearch / hybrid), specialist roles, hard limits (budget, timeouts, concurrency), cost/time estimate and the compiled orchestration script. - Confirm: show the user a compact summary (topology, agent count, est. cost, est. time) and ask before executing anything beyond read-only work.
- Execute:
node scripts/daemon-bridge.js exec plan.json— returns awf_...id. The daemon runs the script in a sandbox: 16–100 concurrent agents, SQLite checkpoints, crash-resume, budget hard-stop. - Monitor / report:
node scripts/daemon-bridge.js status <wf_id>while running;node scripts/daemon-bridge.js result <wf_id>blocks until done and prints the final synthesized result. Relay it to the user.
Native fallback path (no daemon)
Orchestrate with your own subagent capability, platform-limited:
- Decompose into discovery → parallel work → adversarial verification → synthesis. State the plan first.
- Fan out independent items to subagents with hyper-scoped instructions and structured JSON outputs.
- Verify aggregated results (hunt false positives, challenge severity, find gaps) before synthesizing.
- Respect safety: never write files or run mutating commands without explicit user approval.
Safety rules (both paths)
- Read-only operations are auto-approved; writes, shell commands and git commits need user approval.
- Respect the budget: if the plan estimate looks expensive, say so before executing.
- Never put secrets in prompts, plans, or logs.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
odw- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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