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odw

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.

plugins/Suraj1235/open-dynamic-workflows/skills/odw/SKILL.md

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# Open Dynamic Workflows

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