Claude Code Agent Development
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon.
Install Odw
$ npx skills add majiayu000/claude-skill-registry --skill odw -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry odw --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-ml/odw .claude/skills/odw && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "odw" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/odw into .claude/skills/odw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "odw", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/odwType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill odw -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry odw --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-ml/odw .agents/skills/odw && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "odw" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/odw into .agents/skills/odw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "odw", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill odw -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry odw --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-ml/odw .cursor/skills/odw && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "odw" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/odw into .cursor/skills/odw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "odw", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-ml/odw--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill odw -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry odw --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-ml/odw .gemini/skills/odw && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "odw" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/odw into .gemini/skills/odw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "odw", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry odwInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill odw -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-ml/odw .github/skills/odw && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "odw" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/odw into .github/skills/odw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "odw", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill odw -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry odw --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-ml/odw .opencode/skills/odw && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "odw" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/odw into .opencode/skills/odw/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "odw", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
odw- GitHub stars
- 666
- Used in
- 3 other repos
- Token cost
- ~1.1k tokens
- SKILL.md length
- 493 words
- Files
- 2
- Skills in repo
- 1,273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon.
- Works in 4 steps: Plan: node scripts/daemon-bridge.js plan… → Confirm: summarize topology / agent… → Execute: node scripts/daemon-bridge.js… → …
- The user asks for a workflow
- SKILL.md covers When to Use, Model & API key (read this…, Step 0 — Daemon check and Daemon path, plus 4 more sections
- Calls node and npm
What it does
Odw is an agent skill from majiayu000/claude-skill-registry. 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.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Agent Workflows, covering Subagents. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
When your agent uses it
- The user asks for a workflow
- Hands you a task spanning many files/items that benefits from parallel agents
Example prompts
- “workflow”
- “ultracode”
- “/odw”
Requirements
- Node.js
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Plan: node scripts/daemon-bridge.js plan "" — 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…
- Report: node scripts/daemon-bridge.js result blocks until done; relay the synthesized result.
What it can do on your machine
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
nodenpm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Odw loads about 1.1k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 493 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 493 words, ~1,058 tokens.
Download SKILL.mdSave it as
.claude/skills/odw/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- odw
- description
- 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.
- risk
- critical
- source
- https://github.com/Suraj1235/open-dynamic-workflows/tree/main/packages/antigravity-adapter/skills/odw
- source_repo
- Suraj1235/open-dynamic-workflows
- source_type
- community
- date_added
- 2026-07-01
- license
- MIT
- license_source
- https://github.com/Suraj1235/open-dynamic-workflows/blob/main/LICENSE
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, thenodw-daemon start).
Show full SKILL.md (226 more words)Show less
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.
Example
User request:
Use @odw for this task: Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon.
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.
© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/ai-ml/odw of majiayu000/claude-skill-registry.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 2d14a69
Used in 3 other repositories
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Odw next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Odw this skillmajiayu000/claude-skill-registry | 666 | 3 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 38 repos | ~1.2k | Automated safety check: Pass | None | |
| Dispatching Parallel Agentsultralisp/ultralisp | 258 | 41 repos | ~1.5k | Automated safety check: Pass | None | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| Task Observerrebelytics/one-skill-to-rule-them-all | 3.2k | 1 repos | ~12k | Automated safety check: Pass | CC-BY-4.0 |
Similar skills
- Official
Subagent Driven Development
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
Dispatching Parallel Agents
ultralisp/ultralisp
A skill your agent uses when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Paseo Advisor Second Opinion
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
Task Observer
rebelytics/one-skill-to-rule-them-all
Monitors task execution for skill improvement opportunities.
O2 Review Loop
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
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Related
Categories
Questions about Odw
What does Odw do?
Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Odw is an agent skill from majiayu000/claude-skill-registry. Dynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon.
When should I use Odw?
Odw fits situations like: the user asks for a workflow; hands you a task spanning many files/items that benefits from parallel agents.
How do I install Odw in Claude Code?
Run `npx skills add majiayu000/claude-skill-registry --skill odw -a claude-code`. Or copy the skill folder (skills/ai-ml/odw in majiayu000/claude-skill-registry) into .claude/skills/odw in your project. Claude Code loads it when a task matches its description.
How do I install Odw in Codex?
Run `npx skills add majiayu000/claude-skill-registry --skill odw -a codex`. Or copy the skill folder (skills/ai-ml/odw in majiayu000/claude-skill-registry) into .agents/skills/odw in your project. Codex loads it when a task matches its description.
Can I use Odw in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill odw -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/odw, .gemini/skills/odw, .github/skills/odw and .opencode/skills/odw in your project.
What does Odw need to run?
Going by SKILL.md and its folder, Odw needs the command-line tools its instructions call (node and npm). Our summary lists: Node.js.
Does Odw access the network?
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Odw safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Odw use?
Odw is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Odw use?
About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Odw?
Skills that share tags, products or a category with Odw: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Odw?
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.