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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

datarobot-oss/datarobot-agent-skills

실행 점수 미검증

설치 방법 보기

포함된 파일(1)

  • SKILL.md2.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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 valueLabel
application/ai-skillSkill
application/mcp-server+jsonMCP Server
application/ai-agent+jsonAgent
anything elseResource

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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같은 저장소의 스킬

datarobot-agent-assist

무료

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

datarobot-oss/datarobot-agent-skills322026년 10월 23일 업데이트

datarobot-agent-assist-build

무료

Use when the user wants to design, build, code, or deploy an AI agent on DataRobot; mentions agent_spec.yaml, dress rehearsal, the DataRobot agent template, LangGraph, CrewAI, LlamaIndex, NAT, Base agents, MCP servers, backend APIs, custom frontends, or the DataRobot CLI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

datarobot-oss/datarobot-agent-skills322026년 10월 23일 업데이트

datarobot-agent-assist-deploy-workload

무료

Use when an agent assist user wants to deploy their agent, put it on DataRobot, get a link to it, or share it with others, the agent can run as a single container, and the project has no `infra/Pulumi.yaml`. Not for agents built from the agent template, which deploy with Pulumi through datarobot-agent-assist. Users usually just say "deploy" or "deploy to DataRobot" and won't mention containers, workloads or the CLI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

datarobot-oss/datarobot-agent-skills322026년 10월 23일 업데이트

datarobot-agent-assist-simulate

무료

Use when the user wants to adversarially test, evaluate, or harden an implemented AI agent before deployment; mentions swarm simulation, attack testing, persistence testing, evaluation criteria, or eval_report.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

datarobot-oss/datarobot-agent-skills322026년 10월 23일 업데이트

datarobot-agent-llm-selection

무료

Use when the user wants to configure LLM integration for a DataRobot agent application. This skill helps to change LLM model, switch between the LLM integrations the project supports (LLM Gateway, a DataRobot-deployed LLM, an external provider, an LLM Blueprint, and any others its config declares), or set up provider credentials. The skill reads the project's .datarobot/cli/llm.yml for the real options, interviews the user, then runs sync_llm_env.py with the chosen values as CLI args to merge into .env.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

datarobot-oss/datarobot-agent-skills322026년 10월 23일 업데이트

datarobot-app-framework-cicd

무료

Guidance for setting up CI/CD pipelines for DataRobot application templates using GitLab, GitHub Actions, and Pulumi for infrastructure as code. Use when setting up CI/CD pipelines, configuring deployments, or managing infrastructure for DataRobot application templates.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

datarobot-oss/datarobot-agent-skills322026년 10월 23일 업데이트

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