# OneSkills

> OneSkills — onescience-ai-oneskills. Use this tool when you need to streamline AI-native scientific research workflows by leveraging reusable skills for tasks like coding, runtime submission, and environment setup. OneSkills solves problems related to workflow orchestration, coding, and collaboration, providing a seamless interface for inputs like code snippets and outputs like executable workflows. It integrates with tools like Claude Code, Codex CLI, and Trae, making it ideal for researchers and developers working on complex scientific projects.

Canonical page: https://skillsregistry.net/skills/onescience-ai-oneskills  
JSON: https://api.skillsregistry.net/v1/skills/onescience-ai-oneskills

## Description

A skill library for AI-native scientific research. Reusable skills for workflow orchestration, coding, runtime submission, and environment setup. Works with Claude Code, Codex CLI, Trae.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/onescience-ai/OneSkills)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "onescience-ai-oneskills"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/onescience-ai-oneskills` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/onescience-ai-oneskills/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt