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CRM Entity Extraction

该 Skill 定义一套 SOP:当收到含 CRM 数据的商务邮件或笔记时,先调用 LLM 抽取姓名、组织、日期等实体并校验 JSON,再调用 Google Sheets 追加行,失败可重试,最后输出结构化摘要与追加确认。

zvirb
zvirb
热度 49.08
最近更新 2026-05-11 17:45:54
分类:效率依赖:内部调用大模型 / 第三方 API应用场景:CRM / 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 crm-entity-extraction
Metadata
name
CRM Entity Extraction
description
Standard Operating Procedure (SOP) that bridges extraction logic to CRM append operations via atomic nodes.
os
all
requires
{"bins":["gog"]}

Lean Philosophy (Principles)

  • Kaizen (改善): This workflow relies entirely on discrete, single-responsibility atomic nodes rather than a monolithic loop.
  • Standardized Work (Hyojun Sagyo): This node represents a strict, step-by-step Standard Operating Procedure (SOP) for data extraction and persistence.
  • Jidoka (自働化): Includes autonomous self-healing loops with hard verification stops between every step.

CRM Entity Extraction SOP

This procedure guides the agent to extract structured data and append it to a CRM spreadsheet using explicitly defined atomic nodes.

Cognitive Directives

WHEN [A business-related email or note containing CRM data is received] THEN [ Follow this strict Standard Operating Procedure:

Step 1: Entity Extraction

  • Execute the LLM-Extract-JSON atomic skill to extract structured entities (name, org, date).
  • Jidoka Stop: Check if the sub-agent returns a valid JSON object matching the requested schema. IF it returns unstructured text, instruct the skill to format correctly and retry. Do NOT proceed until valid JSON is acquired.

Step 2: Append to CRM

  • Execute the Google Sheets Append Row (or equivalent) atomic node, passing the extracted JSON row.
  • Jidoka Stop: Verify the atomic node returns a successful JSON confirmation. IF the API request fails, retry up to 3 times with the exact error output. IF it still fails, report the error and STOP. ]

Expected Output

A JSON summary of the extracted data and the successful append confirmation.