Individual skill
tooluniverse-cs-setup
Install or update ToolUniverse in Claude Science — create the conda env, install the tooluniverse pip package, and (re)build the tooluniverse-research skill by fetching the current workflow library from GitHub. Use for first-time setup, upgrading the ToolUniverse version, refreshing the bundled workflows after an upstream release, or reinstalling on a new machine.
skills/tooluniverse-cs-setup/SKILL.md
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- Last checked
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- License
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- agents Repository topic
- reasoning-agent Repository topic
- reasoning-language-models Repository topic
- tool-use Repository topic
- ai-agents Repository topic
- ai-scientists Repository topic
- automated-science Repository topic
- co-pilot Repository topic
- co-scientist Repository topic
- ai-for-science Repository topic
- operations Derived category
- research Derived category
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SKILL.mdcore · 3,680 bytesSKILL.mdcore · 3,680 bytesSKILL.mdcore · 3,680 bytesSKILL.mdcore · 3,680 byteskernel.pyruns · 4,575 bytestemplates/research_kernel.pyruns · 2,796 bytestemplates/router_SKILL.mddoc · 2,881 bytes
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# Set up ToolUniverse for Claude Science
The upstream ToolUniverse ships a Claude **Code** plugin (MCP server + `uvx` + slash commands). Claude **Science** loads capabilities differently, so this skill installs the equivalent natively: the `tooluniverse` **pip package** supplies the 2500+ tools, and the workflow library is packaged into a single dynamically-loaded skill, `tooluniverse-research`. No `uv`, no MCP server, no plugin marketplace.
Loading this skill defines `tu_build_research_bundle()` in the kernel (run cells in the **`tooluniverse`** conda env).
## Full install / update — four steps
**1. Create the conda env** (skip if it already exists):
```
manage_environments(mode="create", name="tooluniverse", python_version="3.11", packages=["pip"])
```
**2. Install (or upgrade) the tools** — the pip package is the tool layer: