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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 instance if DATAROBOT_ENDPOINT is set.

日本語の概要は準備中です。原文の説明を表示しています。

datarobot-oss/datarobot-agent-skills

実行スコア未検証

インストール方法を見る

含まれるファイル（1）

SKILL.md2.5 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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.

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同じリポジトリのスキル

datarobot-agent-assist

無料

Use when the user wants to design, build, code, simulate, or deploy an AI agent (not a predictive model) to DataRobot; mentions agent_spec.yaml, dr-assist, datarobot-agent-assist, dress rehearsal, swarm simulation, or the DataRobot agent template; wants to scaffold a LangGraph, CrewAI, LlamaIndex, NAT, or Base agent targeting DataRobot; wants to add an MCP server, backend API, or React frontend to a DataRobot agent application; or uses the DataRobot CLI (dr) to build or deploy an agentic custom application; or wants to harden, stress-test, or battle-test an agent. Covers the full workflow: agent design, agent_spec.yaml authoring, dress-rehearsal simulation via the DataRobot LLM Gateway, adversarial swarm simulation, template-based coding, and deployment.

日本語の概要は準備中です。原文の説明を表示しています。