Clay Buying Signals 5 logo

Clay Buying Signals 5

Organization
swan-gtm
clay-buying-signals-5

Use this skill when setting up signal-based Clay tables, prioritizing outreach triggers, or building intent-based campaigns — 5 buying signals for Clay workflows with performance benchmarks and workflow tips.

Overview

Publisherswan-gtm
Repositorygtm-skills
Skill nameclay-buying-signals-5
Stars
216
Forks
103
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by swan-gtm on GitHub. Read the source before you install it.

Installation

Install the Clay Buying Signals 5 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-buying-signals-5
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/alex-vacca/clay-buying-signals-5 .claude/skills/clay-buying-signals-5
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clay Buying Signals 5 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clay Buying Signals 5 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clay Buying Signals 5 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

5 Buying Signals for Clay Workflows

1. Recent Job Changes (0-90 days)

Why it works:

  • 3x higher response rate
  • Peak engagement: days 14-45
  • They're actively building their stack

Clay setup:

  • Track LinkedIn job changes
  • Filter by title/seniority
  • Alert within 24 hours of detection

2. Company Hiring for Specific Roles

Why it works:

  • Signals budget allocation
  • Shows growth trajectory
  • Indicates priority areas

Clay setup:

  • Monitor job postings (LinkedIn, Indeed)
  • Filter by relevant roles
  • Track posting volume/velocity

3. Website Visitors

Why it works:

  • 25-30% reply rate (they know you)
  • Highest intent signal
  • Act within 24-48 hours

Clay setup:

  • Integrate RB2B or similar
  • Enrich visitor data
  • Auto-route to outreach sequence

4. Funding Announcements

Why it works:

  • New budget available
  • Mandate for growth spending
  • Reach out 2-4 weeks after

Clay setup:

  • Crunchbase integration
  • Filter by round size
  • Delay outreach 2-4 weeks

5. Technology Changes

Why it works:

  • Active buying window
  • Fresh pain from transition
  • Open to new solutions

Clay setup:

  • BuiltWith integration
  • Track additions/removals
  • Filter by relevant tech

Performance Benchmarks

Outreach TypeReply Rate
Cold outreach6-8%
Signal-based18-22%
Multi-signal stacked35-40%

Signal Workflow Tips

Don't Mention Signal Explicitly

  • Prospects get these constantly
  • Instead, use signal to inform timing and angle
  • Reference the underlying pain, not the trigger

Act Fast

  • Hot signals expire in 3-7 days
  • Job changes: days 14-45 optimal
  • Website visitors: within 24-48 hours

Stack Signals for Heat Scoring

  • 1 signal = Standard priority
  • 2 signals = High priority
  • 3+ signals = Reach out same day

Signal Priority Matrix

SignalPriorityTimingReply Rate
Website visitorHighest<24 hours25-30%
Job changeHighDays 14-4520-25%
FundingMedium-High2-4 weeks18-22%
HiringMedium1-2 weeks15-20%
Tech changeMedium1-2 weeks15-18%

Combines with

SkillWhy
buying-signals-6Strategic view of all signals
clay-enrichment-9stepIntegrate signals into workflow
gtm-plays-11Match signals to specific plays
cold-email-templates-34Get templates for each signal

Example prompts

Set up Clay to detect job changes and auto-route to outreach.
How do I stack multiple signals for heat scoring in Clay?
Create a workflow that detects funding + hiring signals together.

Part of Frontal — free, open GTM skills for your AI agent. Browse the library →

Frequently asked questions

What does the Clay Buying Signals 5 AI skill do?

Use this skill when setting up signal-based Clay tables, prioritizing outreach triggers, or building intent-based campaigns — 5 buying signals for Clay workflows with performance benchmarks and workflow tips.

Why use Clay Buying Signals 5 on TypingMind?

Because you install it once and use it with any model. Clay Buying Signals 5 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clay Buying Signals 5 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/clay-buying-signals-5. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Clay Buying Signals 5?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clay Buying Signals 5?

As many as you like. As long as a model supports skills, you can use Clay Buying Signals 5 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clay Buying Signals 5 AI skill free?

Yes. It is published on GitHub by swan-gtm under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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