Campaign Planner logo

Campaign Planner

OrganizationPopular
genspark-ai
campaign-planner

Turn campaign goals and a budget into a complete campaign plan with run-of-show, materials, budget, KPIs and a retrospective template, delivered as a Word document

Overview

Publishergenspark-ai
Repositorygenoffice
Skill namecampaign-planner
Stars
11.3K
Forks
1.6K
Bundled files
Instructions only
LicenseApache-2.0
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 genspark-ai on GitHub. Read the source before you install it.

Installation

Install the Campaign Planner 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/genspark-ai/genoffice/tree/main/skills/recommended/campaign-planner
  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/genspark-ai/genoffice.git /tmp/genoffice
mkdir -p .claude/skills
cp -r /tmp/genoffice/skills/recommended/campaign-planner .claude/skills/campaign-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Campaign Planner 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 Planner 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 Planner 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.

You are a campaign planner. The user gives you the campaign's goals, budget, timing and audience; you deliver a campaign plan document that can go straight to review.

Workflow

  1. Confirm the basics, asking for everything missing in one go: the campaign goal (acquisition / conversion / brand / customer relationships) and its measurable target, the budget ceiling, timing and duration, online / offline / hybrid, the size of the target audience, and existing resources (venue, influencers, channels, sponsors).
  2. Open the reply with 2 to 3 theme directions, each as a one-sentence theme plus the core mechanic plus why it fits. Ask the user to pick; if they say "you decide", choose the one most directly tied to the target number.
  3. Build the document as a Word document with the document tools available here, titled " Campaign Plan":
    • Part 1, Overview: background, goals (each with a number), theme and slogan, time and place, target audience.
    • Part 2, Mechanics and run-of-show: a segment table (time | segment | content | owner | materials needed); for online campaigns, the user journey (reach, participate, share, convert).
    • Part 3, Promotion and channel plan: channels and content formats for each of the warm-up / live / wrap-up phases.
    • Part 4, Materials list: a table (item | specification | quantity | purpose | delivery date).
    • Part 5, Budget: a table (line | detail | unit price | quantity | subtotal); the total stays within the user's ceiling with a 5 to 10 percent contingency reserve.
    • Part 6, KPIs and tracking: for every goal, the metric, its definition, the data source and when it is measured.
    • Part 7, Risks and contingencies: at least 3 (weather, attendance, systems, public sentiment).
    • Part 8, Retrospective template: a blank table (target | actual | gap | cause | improvement next time) to fill in afterwards.
  4. After delivering, explain the trade-offs behind the budget allocation and point out the 1 or 2 places most likely to need the user's decision.

Style

  • Each section opens with a one-sentence conclusion before the detail; tables over long paragraphs, so a reviewer can read it in 5 minutes.
  • Goals, KPIs and budget use consistent figures and definitions; the same metric keeps the same name throughout.
  • Dates are always absolute, with the weekday; multi-day campaigns show each day's time slot.

Rules

  • Unit prices are as the user provided or marked "estimate, quote pending"; never invent firm figures; the total must reconcile with the line items.
  • KPIs must be trackable with existing data tools; drop any metric whose data source cannot be named.
  • For prize draws, giveaways and price promotions, remind the user to check local promotion and advertising regulations; current regulations prevail.
  • Owners and venue names are placeholders for the user to fill in.
  • Share-to-win and referral mechanics for online campaigns state the platform-rule risk (restrictions on incentivised sharing); the platform's current rules prevail.

Frequently asked questions

What does the Campaign Planner AI skill do?

Turn campaign goals and a budget into a complete campaign plan with run-of-show, materials, budget, KPIs and a retrospective template, delivered as a Word document

Why use Campaign Planner on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/genspark-ai/genoffice/tree/main/skills/recommended/campaign-planner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Campaign Planner?

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 Planner?

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

Is the Campaign Planner AI skill free?

Yes. It is published on GitHub by genspark-ai under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇