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/.
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:
invoke_subagent (real isolation/worktrees) using its own model — no extra key, but not the ODW engine.~/.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.
Run: node scripts/daemon-bridge.js --check
npm install, npm run setup, then odw-daemon start).node scripts/daemon-bridge.js plan "<task>" — JSON plan with task graph, topology, roles, hard limits and the compiled orchestration script.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.node scripts/daemon-bridge.js result <wf_id> blocks until done; relay the synthesized result.Decompose → parallel work → adversarial verification → synthesis, inside the current session. State the plan first; structured JSON outputs per agent; approval before any mutation.
odw-vscode) installs in Antigravity as-is (it is a VS Code fork) and gives a live workflow dashboard.