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clay-core-workflow-b粘土核心工作流程 b

Agent Skill

clay-core-workflow-b 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

220

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2,137

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:clay-core-workflow-b(粘土核心工作流程 b)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/clay-core-workflow-b
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill clay-core-workflow-b
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill clay-core-workflow-b

简介

Clay 核心工作流程 B 在 A 的基础上增加 AI 驱动的研究与个性化内容生成能力。

  • 利用 Claygent(基于 GPT-4 的内建 AI 研究代理)为每个潜在客户生成定制化外联文案。
  • 适用于需要批量生成个性化沟通内容的营销和销售场景,日均处理超 50 万任务。
  • 需 Pro 及以上版本支持,建议先完成基础 enrich 流程再启用 AI 增强功能。
  • clay-core-workflow-b 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Clay Core Workflow B: Claygent AI Research & Personalization

Overview

Complements the enrichment pipeline (clay-core-workflow-a) with AI-powered research and personalization. Uses Claygent (Clay's built-in AI research agent powered by GPT-4) to scrape websites, extract insights, and generate personalized outreach copy for each prospect. 30% of Clay customers use Claygent daily, generating 500K+ research tasks per day.

Prerequisites

  • Completed clay-core-workflow-a with enriched table
  • Clay Pro plan or higher (Claygent requires Pro+)
  • Understanding of prompt engineering basics

Instructions

Step 1: Add a Claygent Research Column

In your Clay table with enriched leads:

  1. Click + Add Column > Use AI (Claygent)
  2. Choose model: Claygent Neon (best for data extraction and formatting)
  3. Write your research prompt referencing table columns:
Research {{Company Name}} ({{domain}}) and find:
1. Their most recent funding round (amount, date, investors)
2. Any recent product launches or major announcements from the last 6 months
3. Their primary competitors

Return results as structured data. If information is not found, return "Not found" for that field.
  1. Enable Auto-run on new rows

Step 2: Configure Multi-Output Claygent (Neon Model)

Claygent Neon can extract multiple data points into separate columns from a single run:

Research the company at {{domain}} and extract:

Output 1 (Recent News): The most notable company news from the last 90 days. One sentence.
Output 2 (Tech Stack): List the main technologies they use (check job postings, BuiltWith, Wappalyzer data).
Output 3 (Pain Points): Based on their Glassdoor reviews and recent job postings, identify likely operational pain points.
Output 4 (Competitor): Name their primary competitor.

Map each output to a separate column for downstream use in personalization.

Step 3: Build a Personalized Email Opener Column

Add an AI column (not Claygent -- use the faster AI model for text generation):

You are a sales copywriter. Write a personalized 2-sentence email opener for {{first_name}} at {{Company Name}}.

Context about the prospect:
- Title: {{Job Title}}
- Company size: {{Employee Count}} employees
- Industry: {{Industry}}
- Recent news: {{Recent News}}
- Tech stack: {{Tech Stack}}

Rules:
- Reference one specific fact about their company (not generic)
- Do NOT use "I noticed" or "I came across" (overused)
- Keep it under 40 words
- Sound human, not AI-generated
- End with a natural transition to your value prop

Step 4: Quality-Check AI Output Before Campaign Launch

Before using AI-generated copy in outreach:

// src/workflows/qa-clay-output.ts
interface ClayRow {
  email: string;
  company_name: string;
  personalized_opener: string;
  icp_score: number;
  recent_news: string;
}

function qaCheck(row: ClayRow): { pass: boolean; issues: string[] } {
  const issues: string[] = [];

  // Check opener quality
  if (!row.personalized_opener || row.personalized_opener.length < 20) {
    issues.push('Opener too short or empty');
  }
  if (row.personalized_opener?.includes('{{')) {
    issues.push('Unresolved template variable in opener');
  }
  if (/I noticed|I came across|I saw that/i.test(row.personalized_opener || '')) {
    issues.push('Opener uses banned phrases');
  }

  // Check data completeness
  if (!row.email) issues.push('Missing email');
  if (row.recent_news === 'Not found') issues.push('No research data found');
  if (row.icp_score < 50) issues.push('Low ICP score');

  return { pass: issues.length === 0, issues };
}

Step 5: Export Campaign-Ready Data

Configure an HTTP API column to push qualified, personalized leads to your outreach tool:

{
  "method": "POST",
  "url": "https://api.instantly.ai/api/v1/lead/add",
  "headers": {
    "Content-Type": "application/json",
    "Authorization": "Bearer {{Instantly API Key}}"
  },
  "body": {
    "campaign_id": "your-campaign-id",
    "email": "{{Work Email}}",
    "first_name": "{{first_name}}",
    "last_name": "{{last_name}}",
    "company_name": "{{Company Name}}",
    "personalization": "{{personalized_opener}}",
    "custom_variables": {
      "recent_news": "{{Recent News}}",
      "tech_stack": "{{Tech Stack}}"
    }
  }
}

Set conditional run: ICP Score >= 70 AND ISNOTEMPTY(Work Email) AND ISNOTEMPTY(personalized_opener)

Step 6: Claygent Navigator for Dynamic Websites

For sites that require interaction (filtering, clicking, scrolling):

  1. Add a Claygent column with Navigator mode enabled
  2. Navigator can click buttons, fill search forms, and extract data from dynamic pages
Navigate to {{domain}}/pricing and extract:
1. Number of pricing tiers
2. Starting price
3. Whether they offer a free tier
4. Enterprise pricing model (contact sales vs. listed)

If the pricing page requires interaction (e.g., toggle annual/monthly), switch to annual pricing first.

Error Handling

ErrorCauseSolution
Claygent returns "Not found"Company too small or privateSkip personalization, use generic opener
AI opener references wrong companyColumn mapping errorVerify {{column}} references match table headers
Claygent timeoutComplex research promptSimplify prompt, break into multiple columns
High credit cost per rowClaygent + AI + enrichment stackingRun Claygent only on ICP-qualified rows (score >= 60)
Template variables in outputAI hallucinating Clay syntaxAdd "Do not include curly braces" to prompt

Output

  • Claygent research data (news, tech stack, competitors) per prospect
  • Personalized email openers at scale
  • Campaign-ready export to outreach tools
  • QA report flagging low-quality rows

Resources

Next Steps

For common errors, see clay-common-errors.

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