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Deepvista Recipe Research To Recipe

核心功能:检索DeepVista知识库相关卡片,合成摘要后作为输入运行指定菜谱工作流,支持查看运行状态及后续对话。典型场景:依托知识库内容生成定制化菜谱或执行关联工作流。通过CLI命令操作,输入为研究主题、菜谱ID等,输出检索结果、工作流运行状态及对应产物,需依赖另外两个相关技能。

jingconan
jingconan
热度 27.62
最近更新 2026-05-20 03:35:49
分类:生活依赖:第三方 API / 内部调用大模型应用场景:食谱 / 研究 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add deepvista-recipe-research-to-recipe
Metadata
name
deepvista-recipe-research-to-recipe
description
Recipe: Search your knowledge base, synthesize findings, and run a Recipe workflow.
metadata
{"openclaw":{"category":"recipe","requires":{"bins":["deepvista"],"skills":["deepvista-vistabase","deepvista-recipe"]},"install":[{"kind":"uv","package":"deepvista-cli","bins":["deepvista"]}],"homepage":"https://cli.deepvista.ai","cliHelp":"deepvista card +search --help"}}

Research to Recipe

PREREQUISITE: Load the following skills: deepvista-vistabase, deepvista-recipe

Search your knowledge base for relevant context, synthesize it, then run a Recipe workflow with that context as input.

Steps

  1. Search for relevant cards:

    deepvista card +search "your research topic" --limit 10
    
  2. Read the most relevant cards (pick IDs from search results):

    deepvista card get <card_id_1>
    deepvista card get <card_id_2>
    
  3. Summarize findings into a context string for the Recipe.

  4. List available Recipes to find the right workflow:

    deepvista recipe list
    
  5. Confirm with the user which Recipe to run and what context to pass, then run it:

    deepvista recipe run <recipe_id> --input "Based on my research: <summary of findings>"
    
  6. Check run status:

    deepvista recipe status <run_chat_id>
    

Tips

  • Steps 1–4 are read-only. Step 5 (recipe run) is the only write operation — always confirm with the user before executing it.
  • The Recipe run has access to the full knowledge base; the --input flag focuses the run, it doesn't limit what the agent can see.
  • After a run starts, the agent creates a linked chat session — continue the conversation using deepvista chat +send --chat-id <run_chat_id>.

See Also