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deepline-quickstart

该 Skill 指导安装并调用 Deepline CLI,搜索可维护的 Play、查看输入输出契约,先试跑单条记录或 CSV 小样本,确认消耗额度后导出补充结果,并要求核对导出文件与行对齐。

未知作者
热度 91.26
最近更新 2026-10-19 03:08:44
分类:数据依赖:代码执行 / 读写文件 / 第三方 API应用场景:数据处理 / 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 code.deepline.com/deepline-quickstart
Metadata
name
deepline-quickstart
description
Run a quick Deepline demo with a maintained Play.
disable-model-invocation
false

Deepline Quickstart

Quick Start

npm install -g deepline
deepline -h

Use the current Plays workflow for quick demos. Do not use the retired CSV enrichment command or its flags.

Single record

  1. Ask which field the user wants to enrich and what identifiers they have.

  2. Search for a maintained Play and inspect its input and output contract:

    deepline search "<input you have -> result you need>" --type prebuilts
    deepline describe prebuilt/<play-from-search>
    
  3. Confirm the user wants to spend credits, then pilot one real record:

    deepline plays run prebuilt/<play-from-search> \
      --input '{"linkedin_url":"https://www.linkedin.com/in/example/"}'
    
  4. Report the run result and the exact next step. Do not claim an output file exists unless one was written.

CSV

Inspect the file and choose a batch Play whose input schema matches its columns. Run a representative pilot before the full file:

deepline search "<input you have -> result you need>" --type prebuilts
deepline describe prebuilt/<batch-play-from-search>
deepline plays check prebuilt/<batch-play-from-search>
WORKDIR="deepline/data/quickstart-pilot" && mkdir -p "$WORKDIR"
head -n 4 leads.csv > "$WORKDIR/leads-pilot.csv"
deepline plays run prebuilt/<batch-play-from-search> --csv "$WORKDIR/leads-pilot.csv"
deepline runs export <run-id> --out "$WORKDIR/leads-pilot-enriched.csv"

Wait for a terminal run result before exporting. Review row alignment and results before asking whether to process the rest of the file. Never substitute a scalar Play for a batch Play unless its contract explicitly accepts rows.