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Dev Tool Directory Listings

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jonathimer
dev-tool-directory-listings

Getting listed on developer tool directories, awesome lists, and curated resources. Covers which directories matter for developer tools, submission best practices, contributing to awesome-lists on GitHub, maintaining listings over time, and tracking referral traffic. Use when asked about: - Developer tool directories - Awesome list submissions - Getting listed on dev resources - Directory submission strategy - Curated list contributions - Tool discovery platforms

Overview

Publisherjonathimer
Repositorydevmarketing-skills
Skill namedev-tool-directory-listings
Stars
87
Forks
6
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jonathimer on GitHub. Read the source before you install it.

Installation

Install the Dev Tool Directory Listings 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/jonathimer/devmarketing-skills.git /tmp/devmarketing-skills
mkdir -p .claude/skills
cp -r /tmp/devmarketing-skills/skills/dev-tool-directory-listings .claude/skills/dev-tool-directory-listings
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dev Tool Directory Listings 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 Dev Tool Directory Listings 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 Dev Tool Directory Listings 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.

Developer Tool Directory Listings

Overview

Developers discover tools through curated directories, GitHub awesome-lists, and recommendation threads. Unlike general business directories, developer directories are often community-maintained, have genuine editorial standards, and drive qualified traffic. Getting listed requires meeting quality bars and contributing authentically to these communities.

This skill covers identifying valuable directories, submitting effectively, and maintaining your presence over time.

Understanding the Directory Landscape

Types of Developer Directories

GitHub Awesome Lists Community-curated lists organized by technology or category. Examples:

  • awesome-python
  • awesome-react
  • awesome-selfhosted
  • awesome-developer-tools

These have high credibility because they're community-vetted and contributions are public.

Curated Directories Editorially maintained directories with submission processes:

  • AlternativeTo
  • Product Hunt (for launches)
  • StackShare
  • LibHunt
  • ToolsForCreators

Category-Specific Directories Niche directories for specific developer needs:

  • NoCodeDevs (no-code tools)
  • RemoteTools (remote work tools)
  • DevHunt (dev tool launches)
  • APIList (API directories)

Package Registries If you have libraries, these are essential:

  • npm (JavaScript)
  • PyPI (Python)
  • crates.io (Rust)
  • Go packages
  • Maven Central (Java)

Which Directories Actually Matter

Not all directories drive value. Prioritize based on:

  1. Traffic quality: Do developers you want actually use this?
  2. Domain authority: Does a backlink help SEO?
  3. Maintenance: Is the directory actively maintained?
  4. Competition: Are similar tools listed?
  5. Referral tracking: Can you measure actual visits?

High-value directories to prioritize:

  • GitHub awesome-lists in your category
  • StackShare
  • AlternativeTo
  • Product Hunt (for major launches)
  • Category-specific directories with engaged communities

Often low-value:

  • Generic "software directories"
  • Abandoned lists with no recent updates
  • Directories that accept anything
  • Link farms disguised as directories

GitHub Awesome-List Strategy

Finding Relevant Awesome Lists

  1. Search GitHub for "awesome-[your-category]"
  2. Check the awesome-list curated directory: https://github.com/sindresorhus/awesome
  3. Look for lists your competitors appear on
  4. Find niche lists for specific use cases

Submission Best Practices

Awesome lists have contribution guidelines. Follow them exactly.

Before submitting:

  • Read the entire CONTRIBUTING.md
  • Review recent accepted PRs for patterns
  • Ensure your tool meets stated criteria
  • Check if similar tools are already listed

Submission PR structure:

markdown
Title: Add [Tool Name]

## Description
[Brief description of what your tool does]

## Why it belongs
[How it fits the list's criteria]

## Checklist
- [ ] Read the contribution guidelines
- [ ] Tool is actively maintained
- [ ] Description follows list format
- [ ] Placed in correct alphabetical order

Common rejection reasons:

  • Not following contribution guidelines
  • Tool doesn't fit list scope
  • Description too promotional
  • Tool not mature/stable enough
  • Missing required features for the category

Contributing Beyond Self-Promotion

Build credibility by contributing value, not just listing your own tool:

  • Fix broken links you notice
  • Suggest improvements to list organization
  • Add other quality tools you've used (not your own)
  • Improve documentation

This builds reputation before you submit your own tool.

Directory Submission Strategy

Preparation Before Submitting

Ensure your presence is submission-ready:

  1. Clear value proposition: Can someone understand what you do in one sentence?
  2. Screenshots/demos: Visual proof of your tool working
  3. Documentation: Enough to evaluate without signing up
  4. Pricing clarity: Transparent about costs
  5. Social proof: GitHub stars, user count, notable users

Asset preparation:

  • Logo in multiple formats (SVG, PNG, various sizes)
  • Screenshots at common dimensions
  • Short description (50-100 words)
  • Long description (200-300 words)
  • Category keywords
  • Comparison positioning

Writing Directory Descriptions

Different approach than marketing copy:

Do:

  • Lead with what the tool does, not why it's great
  • Be specific about functionality
  • Mention key technical differentiators
  • Include primary use cases
  • Note programming language/platform compatibility

Don't:

  • Use superlatives ("best," "revolutionary")
  • Focus on company story
  • Bury functionality under benefits
  • Use jargon unexplained
  • Copy-paste same description everywhere (duplicate content hurts SEO)

Example transformation:

Marketing copy:

"The revolutionary platform that transforms how teams collaborate on code. Trusted by 10,000+ developers."

Directory description:

"Real-time collaborative code editor supporting JavaScript, Python, and Go. Features include shared debugging sessions, integrated terminal, and Git sync. Self-hosted or cloud options available."

Submission Timing

For curated directories:

  • Submit when you have meaningful traction
  • Wait until core features are stable
  • Consider submitting after notable milestone (funding, major release)

For Product Hunt:

  • Prepare launch thoroughly (separate skill)
  • Coordinate with community building
  • Time for when team can engage

Maintaining Directory Presence

Regular Maintenance

Directories require ongoing attention:

Quarterly review:

  • Check all listings are accurate
  • Update screenshots if UI changed
  • Refresh descriptions for new features
  • Ensure links work
  • Update pricing if changed

Monitoring:

  • Set up alerts for brand mentions in directories
  • Track referral traffic from each source
  • Note which directories drive signups

Responding to Reviews

Many directories allow reviews or comments:

  • Respond professionally to criticism
  • Thank positive reviewers
  • Use feedback to improve product
  • Don't argue or get defensive
  • Address legitimate concerns publicly

Handling Outdated Listings

Over time, some listings become outdated:

  • Update information when possible
  • Request removal from abandoned directories (avoid bad SEO signals)
  • Correct misinformation proactively
  • Keep screenshots current

Tracking Referral Value

Setting Up Tracking

Track which directories actually drive value:

  1. UTM parameters: Add tracking to directory URLs
  2. Referral reports: Monitor Google Analytics referrers
  3. Signup attribution: Ask "how did you hear about us"
  4. Backlink monitoring: Track SEO value

Metrics to Track

Traffic metrics:

  • Visits from each directory
  • Bounce rate from directory traffic
  • Time on site from referrals

Conversion metrics:

  • Signups attributed to directories
  • Trial-to-paid conversion from directory traffic
  • Revenue attributed to directory presence

SEO metrics:

  • Domain authority of linking directories
  • Referral traffic trends over time

Evaluating Directory ROI

Not all directories warrant ongoing attention:

Keep maintaining if:

  • Drives consistent qualified traffic
  • High conversion rates
  • Strong backlink value
  • Community engagement

Deprioritize if:

  • No measurable traffic
  • Low-quality visits
  • Directory appears abandoned
  • No SEO value

Budget and Resources

Minimum Viable Approach

  • Time investment: 2-4 hours for initial submissions
  • Ongoing: 1-2 hours/quarter for maintenance
  • Cost: Free (most directories don't charge)

Scaled Approach

  • Dedicated tracking for attribution
  • Regular auditing of directory presence
  • Proactive updates with product changes
  • Contributing to community directories

Tools

  • Google Analytics: Referral traffic tracking
  • Ahrefs/Semrush: Backlink monitoring and discovery
  • Notion/Spreadsheet: Track all directory listings
  • Brand monitoring tools: Alerts for new mentions
  • Octolens: Discover where developers discuss and recommend tools in your category

Common Mistakes

  1. Spamming low-quality directories: Focus on quality over quantity
  2. Set and forget: Listings need maintenance
  3. Identical descriptions everywhere: Write unique descriptions
  4. Ignoring contribution guidelines: Leads to rejection
  5. Self-promotion only: Build reputation through genuine contributions
  6. Missing tracking: Can't measure what matters

Related Skills

  • developer-seo: Directory listings support overall SEO strategy
  • github-community-engagement: Contributing to awesome-lists fits broader GitHub strategy
  • product-hunt-launch: Special considerations for Product Hunt specifically

Frequently asked questions

What does the Dev Tool Directory Listings AI skill do?

Getting listed on developer tool directories, awesome lists, and curated resources. Covers which directories matter for developer tools, submission best practices, contributing to awesome-lists on GitHub, maintaining listings over time, and tracking referral traffic. Use when asked about: - Developer tool directories - Awesome list submissions - Getting listed on dev resources - Directory submission strategy - Curated list contributions - Tool discovery platforms

Why use Dev Tool Directory Listings on TypingMind?

Because you install it once and use it with any model. Dev Tool Directory Listings 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 Dev Tool Directory Listings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jonathimer/devmarketing-skills/tree/main/skills/dev-tool-directory-listings. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dev Tool Directory Listings?

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 Dev Tool Directory Listings?

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

Is the Dev Tool Directory Listings AI skill free?

Yes. It is published on GitHub by jonathimer 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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