How do I install the Odw skill?

Run npx skillmds@latest add antigravity/odw in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

SkillMD's automated safety review verdict for this skill is CAUTION. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Odw?

This skill is tagged as working with Claude Code, Cursor, OpenAI Codex, Gemini, Antigravity. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Antigravity Skills (@antigravity) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Odw by antigravity — Agent Skill

Name: Odw
Rating: 4.2 (5 reviews)
Author: Antigravity Skills

File contents

Open Dynamic Workflows (Antigravity)

When to Use

Use this skill when you need 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.

Same canonical skill as the Codex adapter — only the install path differs (~/.gemini/skills/odw/). The bridge scripts live next to this skill in scripts/.

Model & API key (read this first)

Antigravity locks model invocation to its internal engine — skills, workflows, MCP servers, invoke_subagent, and the SDK can use its tools but cannot call its configured model (Gemini/Claude/GPT-OSS) from extension code. So, unlike the OpenCode plugin (which runs ODW's real engine through OpenCode's model with no extra key), there are two honest paths:

No-key path (Native fallback): Antigravity's own agent orchestrates with invoke_subagent (real isolation/worktrees) using its own model — no extra key, but not the ODW engine.
Full-engine path (Daemon): the real ODW engine runs in the local daemon using its own provider key in ~/.odw/config.json (Ollama is keyless/local). This is the only way to get the full engine on Antigravity today.

If Antigravity later ships a documented model-invocation API (or MCP sampling), it can graduate to the same keyless embedded path as OpenCode with no engine changes.

Step 0 — Daemon check

Run: node scripts/daemon-bridge.js --check

Exit 0 → daemon is up; use the daemon path below.
Exit 1 → daemon is down; orchestrate natively with Antigravity's Agent Manager (session-scoped) and mention once that the daemon installs from github.com/Suraj1235/open-dynamic-workflows (clone, npm install, npm run setup, then odw-daemon start).

Daemon path

Plan: node scripts/daemon-bridge.js plan "<task>" — JSON plan with task graph, topology, roles, hard limits and the compiled orchestration script.
Confirm: summarize topology / agent count / est. cost / est. time before executing anything beyond read-only work.
Execute: node scripts/daemon-bridge.js exec plan.json → wf_... id. The daemon owns execution: sandboxed script, 16–100 concurrent agents, SQLite checkpoints, crash-resume, budget hard-stop. It keeps running even if this IDE session ends.
Report: node scripts/daemon-bridge.js result <wf_id> blocks until done; relay the synthesized result.

Native fallback path

Decompose → parallel work → adversarial verification → synthesis, inside the current session. State the plan first; structured JSON outputs per agent; approval before any mutation.

Notes

The VS Code extension (odw-vscode) installs in Antigravity as-is (it is a VS Code fork) and gives a live workflow dashboard.
Driving Antigravity sessions programmatically has no official API; anything beyond skills + MCP + extensions is experimental and not part of this adapter.

Limitations

Use this skill only when the task clearly matches its upstream source and local project context.
Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

---name: odwdescription: Orchestrate dynamic multi-agent workflows with parallel agents and adversarial verification via a local daemon, or fall back to native agent orchestration.license: MIT---# Open Dynamic Workflows (Antigravity)## When to UseUse this skill when you need 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.Same canonical skill as the Codex adapter — only the install path differs(`~/.gemini/skills/odw/`). The bridge scripts live next to this skill in `scripts/`.## Model & API key (read this first)Antigravity locks model invocation to its internal engine — skills, workflows, MCP servers, `invoke_subagent`, and the SDK can use its *tools* but **cannot call its configured model (Gemini/Claude/GPT-OSS) from extension code**. So, unlike the OpenCode plugin (which runs ODW's real engine *through* OpenCode's model with no extra key), there are two honest paths:- **No-key path (Native fallback):** Antigravity's own agent orchestrates with `invoke_subagent` (real isolation/worktrees) using its own model — no extra key, but **not** the ODW engine.- **Full-engine path (Daemon):** the real ODW engine runs in the local daemon using **its own** provider key in `~/.odw/config.json` (Ollama is keyless/local). This is the only way to get the full engine on Antigravity today.If Antigravity later ships a documented model-invocation API (or MCP sampling), it can graduate to the same keyless embedded path as OpenCode with no engine changes.## Step 0 — Daemon checkRun: `node scripts/daemon-bridge.js --check`- Exit 0 → daemon is up; use the daemon path below.- Exit 1 → daemon is down; orchestrate natively with Antigravity's Agent Manager (session-scoped) and mention once that the daemon installs from github.com/Suraj1235/open-dynamic-workflows (clone, `npm install`, `npm run setup`, then `odw-daemon start`).## Daemon path1. **Plan:** `node scripts/daemon-bridge.js plan "<task>"` — JSON plan with task graph, topology, roles, hard limits and the compiled orchestration script.2. **Confirm:** summarize topology / agent count / est. cost / est. time before executing anything beyond read-only work.3. **Execute:** `node scripts/daemon-bridge.js exec plan.json` → `wf_...` id. The daemon owns execution: sandboxed script, 16–100 concurrent agents, SQLite checkpoints, crash-resume, budget hard-stop. It keeps running even if this IDE session ends.4. **Report:** `node scripts/daemon-bridge.js result <wf_id>` blocks until done; relay the synthesized result.## Native fallback pathDecompose → parallel work → adversarial verification → synthesis, inside the current session. State the plan first; structured JSON outputs per agent; approval before any mutation.## Notes- The VS Code extension (`odw-vscode`) installs in Antigravity as-is (it is a VS Code fork) and gives a live workflow dashboard.- Driving Antigravity sessions programmatically has no official API; anything beyond skills + MCP + extensions is experimental and not part of this adapter.## Limitations- Use this skill only when the task clearly matches its upstream source and local project context.- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

Frequently asked questions

Odw