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Audience Audit

Community
jiangylin5-hue
audience_audit

Audit existing Meta custom audiences, their usage, targeting fields, and auction overlap without claiming audience discovery.

Overview

Publisherjiangylin5-hue
Repositorymeta-ads-agent
Skill nameaudience_audit
Stars
81
Forks
9
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jiangylin5-hue on GitHub. Read the source before you install it.

Installation

Install the Audience Audit 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/jiangylin5-hue/meta-ads-agent/tree/main/backend/skills/audience_audit
  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/jiangylin5-hue/meta-ads-agent.git /tmp/meta-ads-agent
mkdir -p .claude/skills
cp -r /tmp/meta-ads-agent/backend/skills/audience_audit .claude/skills/audience_audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audience Audit 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 Audience Audit 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 Audience Audit 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.

audience_audit

Purpose

Audit existing Meta custom audiences, their usage, targeting fields, and auction overlap without claiming audience discovery.

Use when

  • list or inspect custom audiences
  • which ad sets use an audience
  • lookalike or exclusion review
  • audience overlap

Do not use

  • interest, geography, or age/gender discovery
  • live audience mutation without approval
  • claims about audience size without tool evidence

Required inputs

  • ad_account_id

Required evidence

  • audience identity and subtype
  • size and status when returned
  • adsets using it
  • targeting fields
  • auction overlap evidence
  • missing data

Output

Use the output contract audience_finding_v1. Keep facts, hypotheses, missing data, and the decision separate.

Hard rules

  • Current MCP has no interest, geography, or age/gender discovery tool.
  • Do not infer audience composition from names.
  • Before a destructive audience change, collect usage and downstream impact.
  • Audience creation remains a draft path.

References

Use the reference index returned by load_skill. Read only the reference needed for the current decision; do not load every reference.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Audience Audit AI skill do?

Audit existing Meta custom audiences, their usage, targeting fields, and auction overlap without claiming audience discovery.

Why use Audience Audit on TypingMind?

Because you install it once and use it with any model. Audience Audit 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 Audience Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jiangylin5-hue/meta-ads-agent/tree/main/backend/skills/audience_audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Audience Audit?

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 Audience Audit?

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

Is the Audience Audit AI skill free?

It is published on GitHub by jiangylin5-hue. Check the repository for licensing terms. 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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