Ask Advisor Routing
Yeachan-Heo/oh-my-claudecode
Sends a question or task to another locally installed agent CLI, such as Codex or Gemini, through omc ask and saves the answer as a file.
Splits work across Grok, Claude and Codex with the current session as controller, in fast, review, race and scout modes, and checks results itself instead of trusting a model's report.
SKILL.md written in Chinese; this summary is our English description.
Install Ray Multi-Model Collaboration
$ npx skills add imraywang/rayskills --skill ray-multimodel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install imraywang/rayskills ray-multimodel --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/imraywang/rayskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ray-multimodel .claude/skills/ray-multimodel && 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 "ray-multimodel" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-multimodel into .claude/skills/ray-multimodel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-multimodel", 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/imraywang/rayskills/tree/main/skills/ray-multimodelType 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 imraywang/rayskills --skill ray-multimodel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install imraywang/rayskills ray-multimodel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ray-multimodel .agents/skills/ray-multimodel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ray-multimodel" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-multimodel into .agents/skills/ray-multimodel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-multimodel", 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 imraywang/rayskills --skill ray-multimodel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install imraywang/rayskills ray-multimodel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ray-multimodel .cursor/skills/ray-multimodel && 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 "ray-multimodel" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-multimodel into .cursor/skills/ray-multimodel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-multimodel", 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/imraywang/rayskills.git --path skills/ray-multimodel--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 imraywang/rayskills --skill ray-multimodel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install imraywang/rayskills ray-multimodel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ray-multimodel .gemini/skills/ray-multimodel && 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 "ray-multimodel" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-multimodel into .gemini/skills/ray-multimodel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-multimodel", 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 imraywang/rayskills ray-multimodelInstalls 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 imraywang/rayskills --skill ray-multimodel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ray-multimodel .github/skills/ray-multimodel && 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 "ray-multimodel" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-multimodel into .github/skills/ray-multimodel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-multimodel", 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 imraywang/rayskills --skill ray-multimodel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install imraywang/rayskills ray-multimodel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ray-multimodel .opencode/skills/ray-multimodel && 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 "ray-multimodel" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-multimodel into .opencode/skills/ray-multimodel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-multimodel", 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
ray-multimodel- GitHub stars
- 160
- Token cost
- ~1.3k tokens
- SKILL.md length
- 238 words
- Files
- 10 (incl. scripts, references)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Splits work across Grok, Claude and Codex with the current session as controller, in fast, review, race and scout modes, and checks results itself instead of trusting a model's report.
- Works in 6 steps: 把当前会话设为主控，不递归调用与当前会话相同的 CLI。 → 检查所选 CLI… → 不写死模型版本；使用账户当前可用的默认模型，除非用户明确指定。 → …
- Asking a second model to review a risky change before merging
- SKILL.md covers 用法, 一、先判断值不值得分发, 二、选择模式 and 三、建立主控与通道, plus 6 more sections
- Runs Python scripts from its folder
What it does
The current session is always the controller: it understands the goal, writes the task brief, picks the channel, controls permissions, compares evidence and does the final acceptance, while external models take clearly bounded jobs. Modes are chosen with `/ray-multimodel`. Auto picks the smallest sufficient combination, fast gives well-specified work to Grok, review has a different vendor's model check an output read-only, race runs two models blind on the same frozen brief, and scout uses Grok for isolated, read-only research on X, Reddit and the web.
Another model is brought in only when the work is large but clearly specified, mistakes are costly, two approaches deserve a real comparison, live social or web data is needed, or you ask for it. Simple questions stay in the current session. The rules forbid two models writing to the same workspace, silent model switching and sending secrets or unrelated files out, and a model's own claim of completion is never evidence: the controller reruns the checks. Race results are judged only after both finish, labeled A and B, never by majority vote.
When your agent uses it
- Asking a second model to review a risky change before merging
- Running two models on the same task to compare their real outputs
- Researching live opinions on X or Reddit through Grok
- Delegating a well-specified batch job to another model
Example prompts
- “/ray-multimodel review the payment refactor on the current branch.”
- “Race Grok and Claude on the new rate limiter design and compare both results.”
- “Use scout to find what people on Reddit are saying about this tool's latest release.”
Requirements
- Installed, logged-in command-line clients for the models you choose
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 把当前会话设为主控，不递归调用与当前会话相同的 CLI。
- 检查所选 CLI 是否存在、已登录、能返回当前可用模型。每条检查单独执行，避免复合命令触发授权循环。scout 优先交给本 Skill 自带的搜索脚本完成预检、隔离和模型检查，不再手工拼 Grok 搜索命令。
- 不写死模型版本；使用账户当前可用的默认模型，除非用户明确指定。
- 只把完成子任务必需的上下文交给外部模型。绝不传递密钥、令牌、私密配置或无关文件。
- 分发前标记材料为公开、内部或敏感。外部 CLI 会把所给内容发送给对应厂商；只有用户授权范围和当前数据策略都允许时才分发。
- CLI 调用与权限建议见 references/cli-recipes.md。
What it can do on your machine
Read from SKILL.md and the folder at commit 2ad2449. 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
Ships 3 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Ray Multi-Model Collaboration loads about 1.3k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 238 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 238 words (~1,295 tokens).
- name
- ray-multimodel
Files
SKILL.md and 9 other files (scripts, references) in skills/ray-multimodel of imraywang/rayskills.
- SKILL.md
- LICENSE.codex-grok-search
- agents/openai.yaml
- evals/evals.json
- references/cli-recipes.md
- references/grok-search-reliability.md
- references/task-contract.md
- scripts/reddit_dates.py
- scripts/run_search.py
- scripts/test_search_result_contract.py
Open the folder on GitHubat commit 2ad2449
Compare with similar skills
Ray Multi-Model Collaboration 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 |
|---|---|---|---|---|---|---|
| Ray Multi-Model Collaboration this skillimraywang/rayskills | 160 | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Ask Advisor RoutingYeachan-Heo/oh-my-claudecode | 40k | — | ~572 | Automated safety check: Pass | MIT | |
| Fable Foremanolsenbrands/fable-foreman | 142 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| QuorumDetrol/quorum-cli | 119 | — | ~807 | Automated safety check: Notes | Custom licence | |
| Outsourcereralexgreensh/outsourcerer | 170 | — | ~5.5k | Automated safety check: Notes | Custom licence |
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2FastLabs/agent-squad
Map of the agent-squad Python framework for async multi-agent orchestration: which agent, classifier, storage and tool provider to pick, and the pitfalls to avoid.
Quorum
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LLM Council on Fireworks AI
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Has several open-weight models answer a question, rank each other's anonymized answers, then lets a chairman model write the final response through Fireworks AI.
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Categories
Questions about Ray Multi-Model Collaboration
What does Ray Multi-Model Collaboration do?
Splits work across Grok, Claude and Codex with the current session as controller, in fast, review, race and scout modes, and checks results itself instead of trusting a model's report. The current session is always the controller: it understands the goal, writes the task brief, picks the channel, controls permissions, compares evidence and does the final acceptance, while external models take clearly bounded jobs. Modes are chosen with `/ray-multimodel`.
When should I use Ray Multi-Model Collaboration?
Ray Multi-Model Collaboration fits situations like: asking a second model to review a risky change before merging; running two models on the same task to compare their real outputs; researching live opinions on X or Reddit through Grok; delegating a well-specified batch job to another model.
How do I install Ray Multi-Model Collaboration in Claude Code?
Run `npx skills add imraywang/rayskills --skill ray-multimodel -a claude-code`. Or copy the skill folder (skills/ray-multimodel in imraywang/rayskills) into .claude/skills/ray-multimodel in your project. Claude Code loads it when a task matches its description.
How do I install Ray Multi-Model Collaboration in Codex?
Run `npx skills add imraywang/rayskills --skill ray-multimodel -a codex`. Or copy the skill folder (skills/ray-multimodel in imraywang/rayskills) into .agents/skills/ray-multimodel in your project. Codex loads it when a task matches its description.
Can I use Ray Multi-Model Collaboration 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 imraywang/rayskills --skill ray-multimodel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ray-multimodel, .gemini/skills/ray-multimodel, .github/skills/ray-multimodel and .opencode/skills/ray-multimodel in your project.
What does Ray Multi-Model Collaboration need to run?
Going by SKILL.md and its folder, Ray Multi-Model Collaboration needs Python for the scripts in its folder. Our summary lists: Installed, logged-in command-line clients for the models you choose.
Does Ray Multi-Model Collaboration access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ray Multi-Model Collaboration 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Ray Multi-Model Collaboration use?
Ray Multi-Model Collaboration has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Ray Multi-Model Collaboration use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.
What are the alternatives to Ray Multi-Model Collaboration?
Skills that share tags, products or a category with Ray Multi-Model Collaboration: Ask Advisor Routing (Yeachan-Heo/oh-my-claudecode, 40k stars), Fable Foreman (olsenbrands/fable-foreman, 142 stars), Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars) and Quorum (Detrol/quorum-cli, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ray Multi-Model Collaboration?
imraywang (a GitHub user) maintains it in imraywang/rayskills, which has 160 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 23, 2026.
Source: imraywang/rayskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.