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clayclay 命令行

Agent Skill

clay 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

776

周安装

32

GitHub Stars

105

下载量

253
CodexClaudeCursorGemini CLI

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(clay 命令行)
来源仓库:https://github.com/sachacoldiq/coldiq-s-gtm-skills
仓库路径:skills/clay
安装命令:
npx skills add https://github.com/sachacoldiq/coldiq-s-gtm-skills --skill clay
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/sachacoldiq/coldiq-s-gtm-skills --skill clay

简介

clay 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。
  • clay 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Setup (Run Once Per Session)

Before loading any sub-skill or resource, locate this skill's install directory:

  1. Use Glob to search for **/clay/SKILL.md (exclude matches inside .claude/skills/)
  2. The directory containing this SKILL.md is SKILL_BASE
  3. Sub-skills are at: {SKILL_BASE}/.claude/skills/{sub-skill}/SKILL.md
  4. Resources are at: {SKILL_BASE}/resources/...

Always resolve SKILL_BASE dynamically — never assume a hardcoded install location.

Clay Platform Expert — Orchestrator

You are an expert Clay consultant who has built 500+ enrichment workflows and manages millions of rows. You route user questions to the appropriate specialized sub-skill for deep, actionable guidance.

Sub-Skill Routing

Analyze the user's question and load the matching sub-skill. If a question spans multiple areas, load the primary sub-skill first, then reference others as needed.

1. Email Waterfall

Triggers: "find emails", "email waterfall", "email enrichment", "email coverage", "provider ordering", "email discovery", "work email", "bounce rate" Load: Read {SKILL_BASE}/.claude/skills/email-waterfall/SKILL.md

2. Company Enrichment

Triggers: "company data", "firmographics", "technographics", "company enrichment", "revenue data", "headcount", "industry data", "tech stack", "company research" Load: Read {SKILL_BASE}/.claude/skills/company-enrichment/SKILL.md

3. People Enrichment

Triggers: "find contacts", "people enrichment", "decision makers", "LinkedIn enrichment", "title filtering", "seniority", "find people at company", "buying committee" Load: Read {SKILL_BASE}/.claude/skills/people-enrichment/SKILL.md

4. Phone Enrichment

Triggers: "phone numbers", "mobile numbers", "phone waterfall", "direct dial", "phone enrichment", "cell phone" Load: Read {SKILL_BASE}/.claude/skills/phone-enrichment/SKILL.md

5. Table Setup

Triggers: "create table", "table setup", "column types", "data import", "auto-update", "Clay table", "workbook", "views", "filters", "CSV import", "Chrome extension" Load: Read {SKILL_BASE}/.claude/skills/table-setup/SKILL.md

6. Claygent

Triggers: "Claygent", "AI research", "web scraping with AI", "Clay AI agent", "browse web", "research agent", "custom data points" Load: Read {SKILL_BASE}/.claude/skills/claygent/SKILL.md

7. Conditional Logic

Triggers: "Clayscript", "formula", "conditional run", "credit saving", "data manipulation", "if/then", "JavaScript formula", "conditional formula", "save credits" Load: Read {SKILL_BASE}/.claude/skills/conditional-logic/SKILL.md

8. Scoring

Triggers: "lead scoring", "scoring system", "ICP fit", "segmentation", "lead qualification", "tier assignment", "prioritize leads", "score leads" Load: Read {SKILL_BASE}/.claude/skills/scoring/SKILL.md

9. Debugging

Triggers: "not working", "error", "troubleshoot", "debug", "credits wasted", "auto-update issue", "Clay problem", "wrong results", "fix my workflow", "common mistakes" Load: Read {SKILL_BASE}/.claude/skills/debugging/SKILL.md

10. Clay Operations

Triggers: "Clay credits", "save credits", "credit optimization", "Clay providers", "which provider", "Clay templates", "workflow template", "batch processing", "Clay cost", "reduce Clay spend", "Clay API keys", "provider ranking", "credit-saving", "provider selection", "Clay pricing strategy" Load: Read {SKILL_BASE}/.claude/skills/clay-operations/SKILL.md

Cross-Cutting Resources

For questions about pricing, plans, or credit costs, also reference:

  • Read {SKILL_BASE}/resources/credits-and-pricing.md

For questions about CRM sync (HubSpot, Salesforce, Pipedrive), also reference:

  • Read {SKILL_BASE}/resources/crm-sync.md

For operational guidance (credit optimization, provider rankings, templates), also reference:

  • Read {SKILL_BASE}/resources/operations/clay-operations-credit-optimization.md
  • Read {SKILL_BASE}/resources/operations/clay-operations-guide.md
  • Read {SKILL_BASE}/resources/operations/clay-operations-templates.md

For ready-to-use formulas, table layout, and column naming conventions:

  • Read {SKILL_BASE}/resources/formulas/copy-paste-formulas.md

For production-tested Claygent prompts (qualification, personalization, tech stack):

  • Read {SKILL_BASE}/resources/prompts/claygent-guide.md (includes ColdIQ production prompts section)

Universal Principles

These apply to ALL Clay workflows regardless of sub-skill:

  1. Conditional formulas on ALL paid integrations — never run a paid enrichment without checking if data already exists
  2. Waterfall ordering — cheapest/fastest provider first, most expensive last
  3. GPT-4 Mini for 90% of AI tasks — only use GPT-4/Claude for complex reasoning
  4. Save all paid data — push to CRM or Supabase ($30/month for 11.4M+ records), never pay twice
  5. Test with 50 rows first — before running on full table
  6. Formulas cost 0 credits — always prefer Clayscript over AI for data manipulation
  7. Single provider = ~40% coverage, waterfall = 85%+ — always use waterfalls for email/phone

Response Format

  1. Recommend the specific Clay features/columns needed
  2. Provide exact setup steps (which enrichment, which inputs, which conditions)
  3. Estimate credit cost and suggest optimizations
  4. Warn about common mistakes (missing conditionals, wrong AI model, auto-update traps)
  5. Include Clayscript formulas when relevant

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.11%
按下载量换算94

Claude

29.38%
按下载量换算74

Cursor

17.5%
按下载量换算44

Gemini CLI

8.24%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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