Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Multi-LLM intelligent switching. An agent skill from sundial-org/awesome-openclaw-skills.
Install Multi LLM
$ npx skills add sundial-org/awesome-openclaw-skills --skill multi-llm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills multi-llm --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/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi-llm .claude/skills/multi-llm && 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 "multi-llm" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/multi-llm into .claude/skills/multi-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-llm", 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/sundial-org/awesome-openclaw-skills/tree/main/skills/multi-llmType 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 sundial-org/awesome-openclaw-skills --skill multi-llm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills multi-llm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/multi-llm .agents/skills/multi-llm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-llm" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/multi-llm into .agents/skills/multi-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-llm", 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 sundial-org/awesome-openclaw-skills --skill multi-llm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills multi-llm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/multi-llm .cursor/skills/multi-llm && 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 "multi-llm" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/multi-llm into .cursor/skills/multi-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-llm", 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/sundial-org/awesome-openclaw-skills.git --path skills/multi-llm--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 sundial-org/awesome-openclaw-skills --skill multi-llm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills multi-llm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/multi-llm .gemini/skills/multi-llm && 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 "multi-llm" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/multi-llm into .gemini/skills/multi-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-llm", 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 sundial-org/awesome-openclaw-skills multi-llmInstalls 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 sundial-org/awesome-openclaw-skills --skill multi-llm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/multi-llm .github/skills/multi-llm && 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 "multi-llm" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/multi-llm into .github/skills/multi-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-llm", 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 sundial-org/awesome-openclaw-skills --skill multi-llm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills multi-llm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/multi-llm .opencode/skills/multi-llm && 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 "multi-llm" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/multi-llm into .opencode/skills/multi-llm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-llm", 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
multi-llm- GitHub stars
- 663
- Token cost
- ~1.4k tokens
- SKILL.md length
- 310 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- None found
At a glance
Multi-LLM intelligent switching. An agent skill from sundial-org/awesome-openclaw-skills.
- Works in 2 steps: Ollama must be installed and running → Check available models
- AI & LLM Engineering work in your project
- SKILL.md covers What's New in v1.1.0, Usage, Command Format and Model Mapping, plus 8 more sections
- Runs Shell scripts from its folder; calls ollama, curl and sh; reaches ollama.com
What it does
Multi LLM is an agent skill from sundial-org/awesome-openclaw-skills. Multi-LLM intelligent switching. Use command 'multi llm' to activate local model selection based on task type. Default uses Claude Opus 4.5.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/fallback-demo.sh` and `scripts/select-model.sh`).
It sits in AI & LLM Engineering. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “multi llm”
- “/multi-llm”
Requirements
- Python 3
- A Bash shell
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Ollama must be installed and running
- Check available models
What it can do on your machine
Read from SKILL.md and the folder at commit b80cde2. 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 2 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
ollamacurlsh
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
ollama.com
Also links to:
github.com
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
Multi LLM loads about 1.4k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 310 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePipes a well-known installer script into a shellSKILL.md:149
curl -fsSL https://ollama.com/install.sh | sh
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 310 words (~1,359 tokens).
- name
- multi-llm
- trigger
- multi llm
- version
- 1.1.0
- author
- leohan123123
- tags
- llm, ollama, local-model, fallback, multi-model
Files
SKILL.md and 2 other files (scripts) in skills/multi-llm of sundial-org/awesome-openclaw-skills.
- SKILL.md
- scripts/fallback-demo.sh
- scripts/select-model.sh
Open the folder on GitHubat commit b80cde2
Compare with similar skills
Multi LLM 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 |
|---|---|---|---|---|---|---|
| Multi LLM this skillsundial-org/awesome-openclaw-skills | 663 | — | ~1.4k | Automated safety check: Notes | None | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Segment Anything Model Guide
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Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
1password
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
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Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
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Related
Categories
Questions about Multi LLM
What does Multi LLM do?
Multi-LLM intelligent switching. An agent skill from sundial-org/awesome-openclaw-skills. Multi LLM is an agent skill from sundial-org/awesome-openclaw-skills. Multi-LLM intelligent switching.
When should I use Multi LLM?
Multi LLM fits situations like: AI & LLM Engineering work in your project.
How do I install Multi LLM in Claude Code?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill multi-llm -a claude-code`. Or copy the skill folder (skills/multi-llm in sundial-org/awesome-openclaw-skills) into .claude/skills/multi-llm in your project. Claude Code loads it when a task matches its description.
How do I install Multi LLM in Codex?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill multi-llm -a codex`. Or copy the skill folder (skills/multi-llm in sundial-org/awesome-openclaw-skills) into .agents/skills/multi-llm in your project. Codex loads it when a task matches its description.
Can I use Multi LLM 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 sundial-org/awesome-openclaw-skills --skill multi-llm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-llm, .gemini/skills/multi-llm, .github/skills/multi-llm and .opencode/skills/multi-llm in your project.
What does Multi LLM need to run?
Going by SKILL.md and its folder, Multi LLM needs a shell for the scripts in its folder and the command-line tools its instructions call (ollama, curl and sh). Our summary lists: Python 3; A Bash shell.
Does Multi LLM access the network?
SKILL.md names 2 domains. In commands or code: ollama.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Multi LLM safe to install?
Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. 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 Multi LLM use?
No licence was found for Multi LLM or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Multi LLM use?
About 1.4k tokens (SKILL.md is roughly 5.4k 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 Multi LLM?
Skills that share tags, products or a category with Multi LLM: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi LLM?
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.