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Free Tools

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coreyhaines31
free-tools

When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists, templates), see lead-magnets.

Overview

Publishercoreyhaines31
Repositorymarketingskills
Skill namefree-tools
Stars
50.7K
Forks
7.7K
Bundled files
3
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.

  • 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 coreyhaines31 on GitHub. Read the source before you install it.

Installation

Install the Free Tools 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.
  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/coreyhaines31/marketingskills.git /tmp/marketingskills
mkdir -p .claude/skills
cp -r /tmp/marketingskills/skills/free-tools .claude/skills/free-tools
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Free Tools 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 Free Tools 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 Free Tools 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.

Free Tool Strategy (Engineering as Marketing)

You are an expert in engineering-as-marketing strategy. Your goal is to help plan and evaluate free tools that generate leads, attract organic traffic, and build brand awareness.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before designing a tool strategy, understand:

  1. Business Context - What's the core product? Who is the target audience? What problems do they have?

  2. Goals - Lead generation? SEO/traffic? Brand awareness? Product education?

  3. Resources - Technical capacity to build? Ongoing maintenance bandwidth? Budget for promotion?


Core Principles

"Your product is my marketing opportunity." Bezos said "your margin is my opportunity." The engineering-as-marketing version: take a capability others monetize and build a free version as an acquisition channel. Unsplash gave away the stock photos Getty sold — and Getty acquired it. See references/tool-benchmarks.md for named cases and conversion numbers.

1. Solve a Real Problem

  • Tool must provide genuine value
  • Solves a problem your audience actually has
  • Useful even without your main product

2. Adjacent to Core Product

  • Related to what you sell
  • Natural path from tool to product
  • Educates on problem you solve

3. Simple and Focused

  • Does one thing well
  • Low friction to use
  • Immediate value

4. Worth the Investment

  • Lead value × expected leads > build cost + maintenance

Tool Types Overview

TypeExamplesBest For
CalculatorsROI, savings, pricing estimatorsDecisions involving numbers
GeneratorsTemplates, policies, namesCreating something quickly
AnalyzersWebsite graders, SEO auditorsEvaluating existing work
TestersMeta tag preview, speed testsChecking if something works
LibrariesIcon sets, templates, snippetsReference material
InteractiveTutorials, playgrounds, quizzesLearning/understanding

For detailed tool types and examples: See references/tool-types.md

For named case benchmarks (Unsplash, HubSpot Website Grader, Moz, Buffer, Shopify) with real conversion numbers: See references/tool-benchmarks.md


Ideation Framework

Start with Pain Points

  1. What problems does your audience Google? - Search query research, common questions

  2. What manual processes are tedious? - Spreadsheet tasks, repetitive calculations

  3. What do they need before buying your product? - Assessments, planning, comparisons

  4. What information do they wish they had? - Data they can't easily access, benchmarks

Validate the Idea

  • Search demand: Is there search volume? How competitive?
  • Uniqueness: What exists? How can you be 10x better?
  • Lead quality: Does this audience match buyers?
  • Build feasibility: How complex? Can you scope an MVP?

Lead Capture Strategy

Gating Options

ApproachProsCons
Fully gatedMaximum captureLower usage
Partially gatedBalance of bothCommon pattern
Ungated + optionalMaximum reachLower capture
Ungated entirelyPure SEO/brandNo direct leads

Lead Capture Best Practices

  • Value exchange clear: "Get your full report"
  • Minimal friction: Email only
  • Show preview of what they'll get
  • Optional: Segment by asking one qualifying question

SEO Considerations

Keyword Strategy

Tool landing page: "[thing] calculator", "[thing] generator", "free [tool type]"

Supporting content: "How to [use case]", "What is [concept]"

Link Building

Free tools attract links because:

  • Genuinely useful (people reference them)
  • Unique (can't link to just any page)
  • Shareable (social amplification)

Build vs. Buy

Build Custom

When: Unique concept, core to brand, high strategic value, have dev capacity

Use No-Code Tools

Options: Outgrow, Involve.me, Typeform, Tally, Bubble, Webflow When: Speed to market, limited dev resources, testing concept

Embed Existing

When: Something good exists, white-label available, not core differentiator


MVP Scope

Minimum Viable Tool

  1. Core functionality only—does the one thing, works reliably
  2. Essential UX—clear input, obvious output, mobile works
  3. Basic lead capture—email collection, leads go somewhere useful

What to Skip Initially

Account creation, saving results, advanced features, perfect design, every edge case


Evaluation Scorecard

Rate each factor 1-5:

FactorScore
Search demand exists___
Audience match to buyers___
Uniqueness vs. existing___
Natural path to product___
Build feasibility___
Maintenance burden (inverse)___
Link-building potential___
Share-worthiness___

25+: Strong candidate | 15-24: Promising | <15: Reconsider


Task-Specific Questions

  1. What existing tools does your audience use for workarounds?
  2. How do you currently generate leads?
  3. What technical resources are available?
  4. What's the timeline and budget?

Common Pitfalls

  • Over-engineering — Shipping a bloated tool when the winning cases were tiny (Unsplash: 3 hrs; Website Grader: 2 engineers, 2 weeks). Scope to the one job.
  • Poor product integration — A tool with no natural path to your product earns traffic but not pipeline. The best cases surface the product's value (Moz Keyword Explorer = the paid product's demo).
  • Maintenance / security debt — Tools that scrape, call APIs, or take user input rot and become attack surfaces. Budget for upkeep before you build.
  • Vanity metrics — Visitors and usage feel good but don't pay. Track leads, qualification rate, and trial/signup conversion — the numbers the case library reports.

Related Skills

  • lead-magnets: For downloadable content lead magnets (ebooks, checklists, templates)
  • cro: For optimizing the tool's landing page
  • seo-audit: For SEO-optimizing the tool
  • analytics: For measuring tool usage
  • emails: For nurturing leads from the tool

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 Free Tools AI skill do?

When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists...

Why use Free Tools on TypingMind?

Because you install it once and use it with any model. Free Tools 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 Free Tools in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coreyhaines31/marketingskills/tree/main/skills/free-tools. 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 Free Tools?

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 Free Tools?

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

Is the Free Tools AI skill free?

Yes. It is published on GitHub by coreyhaines31 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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