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Campaign Analysis

Organization
nightly-labs
Campaign Analysis

Analyze supplied campaign metrics for performance, data gaps, and evidence-based next experiments.

Overview

Publishernightly-labs
Repositoryopenbot
Skill nameCampaign Analysis
Stars
521
Forks
81
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 nightly-labs on GitHub. Read the source before you install it.

Installation

Install the Campaign Analysis 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/nightly-labs/openbot/tree/main/marketplace/production-catalog/skills/campaign-analysis
  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/nightly-labs/openbot.git /tmp/openbot
mkdir -p .claude/skills
cp -r /tmp/openbot/marketplace/production-catalog/skills/campaign-analysis .claude/skills/nightly-labs-campaign-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Campaign Analysis 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 Campaign Analysis 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 Campaign Analysis 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.

Campaign Analysis

Inputs

Use the export, period, business objective, conversion definition, and comparison period. Work only from metrics and definitions actually supplied.

Workflow

  1. Check currency, timezone, attribution windows, reporting delays, and whether rows overlap before comparing totals.
  2. Compute rates from their underlying counts where possible. Distinguish percentage change from percentage-point change and report zero-denominator cases as undefined.
  3. Segment enough to locate the driver of a change without presenting tiny samples as reliable trends. Separate correlation from causal explanations.
  4. Recommend experiments with a hypothesis, primary metric, guardrail, and a condition for making a decision. Do not change spend or campaigns during analysis.

Deliverable

Return the main result, a compact metric table with calculation definitions, likely drivers with evidence, data limitations, and prioritized experiments.

Frequently asked questions

What does the Campaign Analysis AI skill do?

Analyze supplied campaign metrics for performance, data gaps, and evidence-based next experiments.

Why use Campaign Analysis on TypingMind?

Because you install it once and use it with any model. Campaign Analysis 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 Campaign Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nightly-labs/openbot/tree/main/marketplace/production-catalog/skills/campaign-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Campaign Analysis?

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 Campaign Analysis?

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

Is the Campaign Analysis AI skill free?

It is published on GitHub by nightly-labs. 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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