datarobot-discover
Use when the user wants to find DataRobot capabilities — skills, MCP servers, agents, or platform resources — for a task. Fetches the live DataRobot catalog directly so results are always current, regardless of third-party search index lag. Also checks the user's own DataRobot in
Install
npx skills add https://github.com/datarobot-oss/datarobot-agent-skills/tree/main/skills/datarobot-discover
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install datarobot-oss-datarobot-agent-skills@llmmart
git clone https://github.com/datarobot-oss/datarobot-agent-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole datarobot-oss/datarobot-agent-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Discover DataRobot Resources
Fetch DataRobot catalog and present matching resources for the user's task. Covers resource types including Global MCP Server. Bring resources once DataRobot publishes them without skill update.
Step 1 — Fetch the public catalog
curl -s https://www.datarobot.com/.well-known/ai-catalog.json
Always fetch this. It contains all publicly available DataRobot resources.
Step 2 — Fetch the instance catalog (if DATAROBOT_ENDPOINT is set)
curl -s \
-H "Authorization: Bearer $DATAROBOT_API_TOKEN" \
"$DATAROBOT_ENDPOINT/.well-known/ai-catalog.json"
This surfaces resources specific to the user's DataRobot deployment — org-scoped MCP servers, deployed agents, private tools. If it returns 404, the instance does not publish a catalog yet; skip silently and continue with the public catalog only.
Step 3 — Merge and present
Combine both result sets. Deduplicate by identifier. Then present as a numbered
list grouped by resource type:
type value |
Label |
|---|---|
application/ai-skill |
Skill |
application/mcp-server+json |
MCP Server |
application/ai-agent+json |
Agent |
| anything else | Resource |
For each entry show: name, type, description, and whether it came from the public catalog or the user's instance. Relevance to the user's task comes first — don't just dump the full list alphabetically.
Step 4 — Install guidance (only when the user asks)
Never install or configure anything automatically. When the user picks a result:
Skill — install via the DataRobot skills plugin:
npx ai-agent-skills install <skill-name>
Or point directly to the url field from the catalog entry (the SKILL.md file).
MCP Server — show the MCP connector config using the url from the catalog:
{
"mcpServers": {
"datarobot": {
"url": "<url from catalog entry>"
}
}
}
Agent — show the A2A endpoint from the catalog entry and instruct the user to connect it via their agent framework's standard mechanism.
Other — show the url and description from the catalog entry and let the
user decide how to proceed.
Files (datarobot-agent-skills)
-
SKILL.md 2.5 KB
--- name: datarobot-discover description: >- Use when the user wants to find DataRobot capabilities — skills, MCP servers, agents, or platform resources — for a task. Fetches the live DataRobot catalog directly so results are always current, regardless of third-party search index lag. Also checks the user's own DataRobot instance if DATAROBOT_ENDPOINT is set. --- # Discover DataRobot Resources Fetch DataRobot catalog and present matching resources for the user's task. Covers resource types including Global MCP Server. Bring resources once DataRobot publishes them without skill update. ## Step 1 — Fetch the public catalog ```bash curl -s https://www.datarobot.com/.well-known/ai-catalog.json ``` Always fetch this. It contains all publicly available DataRobot resources. ## Step 2 — Fetch the instance catalog (if DATAROBOT_ENDPOINT is set) ```bash curl -s \ -H "Authorization: Bearer $DATAROBOT_API_TOKEN" \ "$DATAROBOT_ENDPOINT/.well-known/ai-catalog.json" ``` This surfaces resources specific to the user's DataRobot deployment — org-scoped MCP servers, deployed agents, private tools. If it returns 404, the instance does not publish a catalog yet; skip silently and continue with the public catalog only. ## Step 3 — Merge and present Combine both result sets. Deduplicate by `identifier`. Then present as a numbered list grouped by resource type: | `type` value | Label | |---|---| | `application/ai-skill` | Skill | | `application/mcp-server+json` | MCP Server | | `application/ai-agent+json` | Agent | | anything else | Resource | For each entry show: **name**, **type**, **description**, and whether it came from the public catalog or the user's instance. Relevance to the user's task comes first — don't just dump the full list alphabetically. ## Step 4 — Install guidance (only when the user asks) Never install or configure anything automatically. When the user picks a result: **Skill** — install via the DataRobot skills plugin: ```bash npx ai-agent-skills install <skill-name> ``` Or point directly to the `url` field from the catalog entry (the SKILL.md file). **MCP Server** — show the MCP connector config using the `url` from the catalog: ```json { "mcpServers": { "datarobot": { "url": "<url from catalog entry>" } } } ``` **Agent** — show the A2A endpoint from the catalog entry and instruct the user to connect it via their agent framework's standard mechanism. **Other** — show the `url` and `description` from the catalog entry and let the user decide how to proceed.
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