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clay-reference-architecture粘土参考架构

Agent Skill

clay-reference-architecture 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。

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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-reference-architecture(粘土参考架构)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/clay-reference-architecture
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill clay-reference-architecture
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-reference-architecture

简介

clay-reference-architecture 提供生产级粘土数据增强架构指导,涵盖集成模式、表结构设计和 CRM 同步流程。

  • 适用于 Clay 账户管理员、数据工程师和 GTM 运营团队规划大规模线索丰富化系统。
  • 通过三步选择集成模式、配置 webhook 或 API 端点、设计数据 schema 来构建可靠的数据流水线。
  • 需 Clay 账户权限、环境变量管理能力及对外部数据提供商的依赖评估,建议结合安全实践使用。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Clay Reference Architecture

Overview

Production architecture for Clay-based lead enrichment and go-to-market data operations. Covers the three integration patterns (webhook-only, webhook + HTTP API, and full Enterprise API), table schema design, and CRM synchronization flows.

Prerequisites

  • Clay account with appropriate plan tier
  • Clear understanding of data volume and enrichment needs
  • CRM integration target (HubSpot, Salesforce, etc.)
  • Defined Ideal Customer Profile (ICP)

Instructions

Step 1: Choose Your Integration Pattern

Pattern A: Webhook-Only (All Plans)
──────────────────────────────────────
Your App ──POST──> Clay Webhook ──> Clay Table ──> Enrichment
                                                      │
                                         Manual export via CSV
                                         or native CRM action

Pattern B: Webhook + HTTP API Callback (Growth+ Plans)
──────────────────────────────────────────────────────
Your App ──POST──> Clay Webhook ──> Clay Table ──> Enrichment
                                                      │
                                                HTTP API Column
                                                      │
                                               POST to your app
                                                      │
                                                  CRM / DB

Pattern C: Full Automation with Enterprise API (Enterprise)
──────────────────────────────────────────────────────────
Your App ──POST──> Clay Webhook ──> Clay Table ──> Enrichment
    │                                                  │
    │                                           HTTP API Column
    │                                                  │
    └──Enterprise API──> Person/Company lookup    POST to your app
                         (lightweight, fast)           │
                                                   CRM / DB

Step 2: Design Table Schema

Standard Lead Enrichment Table:

┌─────────────────────────────────────────────────────────────┐
│ CLAY TABLE: Outbound Leads                                  │
├─────────────┬───────────────┬──────────────────────────────┤
│ Input Cols  │ Enrichment    │ AI + Formula + Output        │
├─────────────┼───────────────┼──────────────────────────────┤
│ domain      │ Company Name  │ ICP Score (formula)          │
│ first_name  │ Employee Count│ Lead Tier (formula: A/B/C)   │
│ last_name   │ Industry      │ Personalized Opener (AI)     │
│ source      │ Tech Stack    │ Recent News (Claygent)       │
│ linkedin_url│ Work Email    │ CRM Push (HTTP API)          │
│             │ Job Title     │ Outreach Push (HTTP API)     │
│             │ Phone Number  │                              │
│             │ LinkedIn URL  │                              │
└─────────────┴───────────────┴──────────────────────────────┘

Column execution order (left to right):
1. Company enrichment (Clearbit) ─ fast, provides context for later columns
2. Person enrichment (Apollo/PDL) ─ medium speed
3. Email waterfall (Apollo > Hunter) ─ conditional: requires domain + name
4. Phone lookup (if needed) ─ conditional: ICP Score >= 80
5. ICP Score formula ─ instant, computes from enriched data
6. Claygent research ─ slow, conditional: ICP Score >= 60
7. AI personalization ─ conditional: ICP Score >= 70
8. CRM push (HTTP API) ─ conditional: ICP Score >= 70 + has email

Step 3: Configure Waterfall Pattern

# Recommended waterfall configuration
email_waterfall:
  strategy: "cheapest-first, stop-on-match"
  providers:
    - name: apollo
      credits: 2
      coverage: ~70%
      speed: fast
    - name: hunter
      credits: 2
      coverage: ~60%
      speed: fast
  combined_coverage: ~83%
  max_credits: 4

company_enrichment:
  strategy: "single provider"
  provider: clearbit
  credits: 2
  coverage: ~90%
  fallback: apollo (if Clearbit returns empty)

person_enrichment:
  strategy: "primary + fallback"
  providers:
    - name: apollo
      credits: 2
    - name: people_data_labs
      credits: 3

Step 4: Implement ICP Scoring

# Clay Formula Column: ICP Score (0-100)
LET(
  # Company size scoring (0-30)
  size, IF(Employee Count > 1000, 30,
       IF(Employee Count > 200, 25,
       IF(Employee Count > 50, 15,
       IF(Employee Count > 10, 5, 0)))),

  # Industry match (0-30)
  industry, IF(OR(
    Industry = "Software",
    Industry = "Technology",
    Industry = "SaaS",
    Industry = "Information Technology"
  ), 30, IF(OR(
    Industry = "Financial Services",
    Industry = "Healthcare"
  ), 20, 10)),

  # Title seniority (0-25)
  title, IF(OR(
    CONTAINS(Job Title, "CEO"), CONTAINS(Job Title, "CTO"),
    CONTAINS(Job Title, "VP"), CONTAINS(Job Title, "C-Suite")
  ), 25, IF(OR(
    CONTAINS(Job Title, "Director"), CONTAINS(Job Title, "Head of")
  ), 20, IF(
    CONTAINS(Job Title, "Manager"), 10, 5
  ))),

  # Data completeness (0-15)
  data, IF(ISNOTEMPTY(Work Email), 10, 0) +
        IF(ISNOTEMPTY(Phone Number), 5, 0),

  size + industry + title + data
)

# Lead Tier Column
IF(ICP Score >= 80, "A",
IF(ICP Score >= 60, "B",
IF(ICP Score >= 40, "C", "D")))

Step 5: CRM Sync Architecture

# HubSpot integration via HTTP API column
crm_sync:
  trigger: "ICP Score >= 70 AND ISNOTEMPTY(Work Email)"
  method: POST
  url: "https://api.hubapi.com/crm/v3/objects/contacts"
  dedup_key: email  # Prevent duplicate contacts
  field_mapping:
    email: "{{Work Email}}"
    firstname: "{{first_name}}"
    lastname: "{{last_name}}"
    company: "{{Company Name}}"
    jobtitle: "{{Job Title}}"
    hs_lead_status: "NEW"
    clay_icp_score: "{{ICP Score}}"
    clay_enrichment_date: "{{_clay_enriched_at}}"

# Alternative: Use Clay's native HubSpot/Salesforce action columns
# (simpler setup, fewer credits, built-in dedup)
native_crm_action:
  type: "HubSpot: Create/Update Contact"
  dedup: "Match on email"
  auto_run: true
  condition: "ICP Score >= 70"

Error Handling

IssueCauseSolution
Enrichment credits exhaustedToo many lookups per rowUse conditional runs, connect own API keys
Duplicate CRM recordsNo dedup key in CRM pushUse email as unique identifier
Low email coverageSingle provider waterfallAdd second provider (Apollo + Hunter)
Slow table processingToo many enrichment columnsAdd conditional runs, order by speed
Stale enrichment dataNo re-enrichment scheduleRe-run quarterly on existing contacts

Resources

Next Steps

For multi-environment configuration, see clay-multi-env-setup.

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