Multi LLM
Orchestrate code plan reviews, task generation, implementation, code reviews and commit reviews using multiple LLM providers in parallel, or ask each model a free-text question about a plan. Use this skill whenever the user wants to review a plan with multiple models, generate implementation tasks, implement tasks with subagent delegation, review code changes against a plan, review or fix the commits they made, ask the models a question about a plan, or run any multi-model workflow. Triggers on: 'review my plan', 'multi-llm', 'run code review', 'generate tasks from plan', 'implement this plan'
Install
npx skills add beastlabai/multi-llm-plugin --skill multi-llmgit clone --depth 1 https://github.com/beastlabai/multi-llm-plugin.git /tmp/multi-llm-plugin
mkdir -p ~/.claude/skills
cp -r /tmp/multi-llm-plugin/skills/multi-llm ~/.claude/skills/multi-llmPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Multi-LLM — Claude Code entry shim
This file carries the facts true of Claude Code and nothing else; the workflow
lives in the shared host-neutral core, loaded in step 4 — never re-derived here.
## 1. Skill directory
Claude Code expands `${CLAUDE_SKILL_DIR}` to this skill's absolute path inside *this* file before you read it, so every command below is already resolved: run
them as written, and **keep the double quotes** (the path may contain spaces, e.g. `C:\Users\John Smith\...`, and an unquoted expansion word-splits).
## 2. Check `uv`, before the first `uv run`
Run `command -v uv` exactly as written — standalone, never chained (chaining loses the permission allow rule). A path means proceed; otherwise check the locations a
fresh shell may not have on `PATH` yet, reading **stdout, not the exit status** (this `ls` exits non-zero whenever any candidate is missing, the normal case):
```bash
ls "$HOME/.local/bin/uv" "$HOME/.local/bin/uv.exe" "$HOME/.cargo/bin/uv" "$HOME/.cargo/bin/uv.exe" /opt/homebrew/bin/uv /usr/local/bin/uv /opt/local/bin/uv 2>/dev/null
```
If uv is genuinely absent, print `${CLAUDE_SKILL_DIR}/hosts/uv-missing.txt`
verbatim and **stop with exit 3** — never install it, never ask, never fall back
to bare `python`.
## 3. Map the user's flag to a mode word
Flags are position-independent, and the mode flag is the mode word without its
`--` (`--review-code` → `review-code`, `--full` → `full`, and so on for every flagDetails
- Skill name
multi-llm- Repository
- beastlabai/multi-llm-plugin
- Path
skills/multi-llm/SKILL.md- License
- MIT
- Repo updated
- 30 October 2026
- Listed in
- VoltAgent/awesome-agent-skills
FAQ
What does the Multi LLM skill do?
Orchestrate code plan reviews, task generation, implementation, code reviews and commit reviews using multiple LLM providers in parallel, or ask each model a free-text question about a plan. Use this skill whenever the user wants to review a plan with multiple models, generate implementation tasks, implement tasks with subagent delegation, review code changes against a plan, review or fix the commits they made, ask the models a question about a plan, or run any multi-model workflow. Triggers on: 'review my plan', 'multi-llm', 'run code review', 'generate tasks from plan', 'implement this plan'
How do I install the Multi LLM skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add beastlabai/multi-llm-plugin --skill multi-llm. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Multi LLM popular?
It lives in beastlabai/multi-llm-plugin, which has 11 GitHub stars and 1 forks, and is included in 1 curated skill list.
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