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Campaigns Interview

Organization
clay-run
campaigns-interview

Use when a fresh Clay Sequencer campaign has no meaningful subject or body copy and needs its first draft.

Overview

Publisherclay-run
Repositoryagent-plugins
Skill namecampaigns-interview
Stars
145
Forks
24
Bundled files
Instructions only
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 clay-run on GitHub. Read the source before you install it.

Installation

Install the Campaigns Interview 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/clay-run/agent-plugins/tree/main/clay/skills/campaigns-interview
  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/clay-run/agent-plugins.git /tmp/agent-plugins
mkdir -p .claude/skills
cp -r /tmp/agent-plugins/clay/skills/campaigns-interview .claude/skills/campaigns-interview
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Campaigns Interview 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 Campaigns Interview 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 Campaigns Interview 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.

Fresh campaign interview

If the campaigns skill is not already loaded, load it before acting. Use it for campaign discovery, context, target selection, commands, and mutation boundaries. Use this skill for the interview and first-draft decisions.

Use this skill whenever a fresh clay campaigns get shows that the target campaign has no meaningful subject or body copy. It may require no questions. Do not trigger merely because one step is blank in an otherwise authored campaign.

Gather context first

Before asking the user anything:

  • Read the user's request and the relevant conversation.
  • Read the campaign goal.
  • Resolve AI context, then read the selected skill instructions, My Business Context, and selected reference content that it returns.
  • Inspect the configured audience, campaign settings, and complete sequence.

Context resolution and audience inspection are best-effort. Treat unavailable sources as absent, never imply that they were read, and continue from the context gathered successfully unless the user explicitly requires the missing source.

Ask only about an unresolved gap when different answers would materially change the draft, and ask it through the question tool. Do not use a preset questionnaire, question order, grouping, or target count. Do not ask about tone, sequence length, or personalization when the available context supports a credible choice. When there is enough context, state the assumptions that matter and continue without asking. Omit unsupported proof instead of blocking or inventing it.

Campaign goal

Use the gathered context to assess the campaign goal. Propose a concise goal when the existing goal is empty or materially conflicts with the intended audience, relevant situation, offer, or desired recipient action. Otherwise preserve it. Never replace a non-empty goal unless the user explicitly asks for or accepts the proposed replacement, and continue drafting if the user declines.

After the user accepts a proposed goal:

  1. Run get again immediately before saving it. If the current goal changed during the conversation, do not overwrite it; reconcile the goals with the user first.
  2. If the fresh status is draft or paused, save the goal to claygentContext.campaignIntent with a separate context edit. If it is active or completed, do not attempt the edit; explain that campaign settings are locked and keep the accepted goal in the conversation.
  3. Resolve AI context before drafting the sequence. Read the campaign again only when the context-edit response lacks the state needed to report the saved goal or resolve AI context.

Move directly to the draft when the material context is sufficient; a brief summary and sequence-shape approval are not required. Never expose campaign, variant, step, segment, or field ids.

Frequently asked questions

What does the Campaigns Interview AI skill do?

Use when a fresh Clay Sequencer campaign has no meaningful subject or body copy and needs its first draft.

Why use Campaigns Interview on TypingMind?

Because you install it once and use it with any model. Campaigns Interview 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 Campaigns Interview in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/clay-run/agent-plugins/tree/main/clay/skills/campaigns-interview. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Campaigns Interview?

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 Campaigns Interview?

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

Is the Campaigns Interview AI skill free?

It is published on GitHub by clay-run. 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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