Open Source Marketing logo

Open Source Marketing

Community
jonathimer
open-source-marketing

When the user wants to market an open source project authentically. Trigger phrases include "open source marketing," "OSS marketing," "GitHub marketing," "promote my library," "grow stars," "launch open source," "open source growth," or "contributor marketing."

Overview

Publisherjonathimer
Repositorydevmarketing-skills
Skill nameopen-source-marketing
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 Open Source Marketing 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/open-source-marketing .claude/skills/open-source-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Open Source Marketing 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 Open Source Marketing 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 Open Source Marketing 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.

Open Source Marketing

This skill helps you market open source projects without being cringe. Covers GitHub optimization, community building, contributor experience, launch strategies, and sustainable growth.


Before You Start

Load your audience context first. Read .agents/developer-audience-context.md to understand:

  • Who would use this project (role, tech stack, problem)
  • Where they discover tools (communities, social, search)
  • What alternatives exist (why would they switch?)
  • How they evaluate OSS (stars, activity, docs, community)

If the context file doesn't exist, run the developer-audience-context skill first.


The OSS Marketing Mindset

What Works vs. What Doesn't

WorksDoesn't Work
Building in publicSpamming "check out my project"
Solving real problemsBuilding solutions seeking problems
Genuine community engagementTransactional follows/unfollows
Great docs and DX"The code is self-documenting"
Celebrating contributorsTaking sole credit
Consistent presenceLaunch and disappear

The Growth Equation

Growth = (Real value) × (Discoverability) × (First-use experience)

If any factor is zero, growth is zero.


GitHub Optimization

README Excellence

Your README is your landing page. Optimize it.

Structure:

markdown
# Project Name

[One-line description that explains what it does]

[Badges: build status, version, license, downloads]

[Screenshot or GIF showing it in action]

## Why [Project Name]?

- ✅ [Benefit 1 - specific, not fluffy]
- ✅ [Benefit 2]
- ✅ [Benefit 3]

## Quick Start

\`\`\`bash
npm install project-name
\`\`\`

\`\`\`javascript
// 5 lines that show immediate value
\`\`\`

## Installation

[Detailed installation for all platforms]

## Usage

[Core usage patterns with examples]

## Documentation

[Link to full docs]

## Contributing

We love contributions! See [CONTRIBUTING.md](CONTRIBUTING.md).

## License

[License type] - see [LICENSE](LICENSE)

README Checklist

ElementWhy It Matters
Clear nameMemorable, searchable, spellable
One-liner"A [type] for [audience] that [does what]"
BadgesSocial proof, health signals
VisualGIF > Screenshot > Nothing
Quick start<5 lines to first value
Why this?Differentiation from alternatives
InstallationAll platforms, copy-paste
ExamplesReal use cases, not contrived
Docs linkMore detail available
ContributingCommunity welcome

Repository Optimization

ElementBest Practice
Description100 chars max, keyword-rich
Topics5-10 relevant tags for discoverability
WebsiteLink to docs or landing page
ReleasesSemantic versioning, changelogs
IssuesTemplates for bugs/features
DiscussionsEnable for community Q&A
SponsorsEnable if you want funding

Issue & PR Templates

Bug report template:

markdown
---
name: Bug Report
about: Report a bug to help us improve
---

## Bug Description
[Clear description]

## Steps to Reproduce
1.
2.
3.

## Expected Behavior
[What should happen]

## Actual Behavior
[What actually happens]

## Environment
- OS:
- Node version:
- Package version:

## Additional Context
[Screenshots, logs, etc.]

Feature request template:

markdown
---
name: Feature Request
about: Suggest an idea for this project
---

## Problem
[What problem does this solve?]

## Proposed Solution
[How would you like it to work?]

## Alternatives Considered
[Other approaches you've thought about]

## Additional Context
[Examples, mockups, etc.]

Community Building

Community Spaces

PlatformBest ForSetup Effort
GitHub DiscussionsQ&A, announcementsLow
DiscordReal-time chat, community feelMedium
SlackEnterprise communitiesMedium
Forum (Discourse)Async, searchable discussionsHigh

Start with GitHub Discussions. Add Discord when you have 50+ active users.

Community Principles

PrincipleImplementation
Be responsiveRespond to issues within 48 hours (even if just "looking into it")
Celebrate contributionsThank every contributor publicly
Be transparentShare roadmap, explain decisions
Set expectationsClear SLA for maintainer response
Welcome newcomers"good first issue" labels, mentorship

Contributor Funnel

User → Star → Issue → PR → Regular Contributor → Maintainer

Optimize each transition:

TransitionHow to Improve
User → StarGreat README, visible value
Star → IssueClear issue templates, welcoming tone
Issue → PR"good first issue" labels, CONTRIBUTING.md
PR → RegularQuick review, encouraging feedback
Regular → MaintainerTrust, shared ownership

Contributor Experience

CONTRIBUTING.md Essentials

markdown
# Contributing to [Project]

First off, thanks for considering contributing! ❤️

## Quick Start

1. Fork the repo
2. Clone your fork
3. Install dependencies: `npm install`
4. Create a branch: `git checkout -b my-feature`
5. Make your changes
6. Run tests: `npm test`
7. Commit: `git commit -m "Add my feature"`
8. Push: `git push origin my-feature`
9. Open a Pull Request

## Development Setup

[Detailed setup instructions]

## Code Style

- We use [Prettier/ESLint config]
- Run `npm run lint` before committing
- [Other conventions]

## Commit Messages

We follow [Conventional Commits](https://conventionalcommits.org/):
- `feat: add new feature`
- `fix: resolve bug`
- `docs: update readme`
- `chore: update dependencies`

## Pull Request Process

1. Update docs if needed
2. Add tests for new features
3. Ensure CI passes
4. Get one approval

## Good First Issues

Look for issues labeled `good first issue` — these are great starting points!

## Questions?

Open a Discussion or reach out on Discord.

"Good First Issue" Strategy

Create genuinely approachable issues:

GoodNot Good
"Add TypeScript types for X function""Refactor the entire codebase"
"Fix typo in README""Performance optimization"
"Add test for Y method""Debug intermittent CI failure"
"Update dependency Z""Implement feature from RFC"

For each good first issue:

  • Explain context and why it matters
  • Link to relevant code files
  • Describe expected outcome
  • Offer to help in comments

Launch Strategies

Pre-Launch Checklist

TaskDone?
README polished
Quick start works
Docs exist
3+ examples/demos
Tests passing
License chosen
CONTRIBUTING.md
Issue templates
Social preview image
5-10 GitHub topics

Launch Day Playbook

Timeline:

TimeAction
Day beforeFinal README review, prep all posts
Launch morningHN post (best: 6-8am PT, Tuesday-Thursday)
+1 hourTwitter thread
+2 hoursReddit post to relevant subreddits
Throughout dayRespond to all comments/questions
End of dayThank everyone, share metrics

Platform-Specific Tactics

Hacker News:

  • Title: Descriptive, no hype ("Show HN: X — a Y for Z")
  • First comment: Explain motivation, tech decisions
  • Be available to respond for hours
  • Don't ask for upvotes (instant death)

Reddit:

  • Find 2-3 relevant subreddits (not just r/programming)
  • Read the rules first
  • Be a community member, not a marketer
  • Share genuinely useful context

Twitter/X:

  • Thread format: Problem → Solution → Demo → Link
  • Include GIF/video
  • Tag relevant accounts (framework authors, etc.)
  • Share builds-in-public journey

Dev.to / Hashnode:

  • Write a "Why I Built This" article
  • Technical depth, personal story
  • Cross-post from your blog

Post-Launch

WeekFocus
Week 1Respond to all feedback, fix bugs
Week 2Blog post: "What I learned from launch"
Week 3Start regular updates, ship new feature
Month 1Community building, contributor docs
OngoingConsistent presence, regular releases

Sustainable Growth

Growth Tactics

TacticEffortImpactTimeline
SEO-optimized docsMediumHigh3-6 months
Integration tutorialsMediumHigh1-2 months
Conference talksHighMedium3-6 months
Comparison contentLowMedium1-2 months
Guest blog postsMediumMedium1-2 months
Newsletter featuresLowLow-Medium2-4 weeks
Twitter presenceMediumMediumOngoing

Content Strategy for OSS

Content TypePurpose
"Why we built X"Launch story, motivation
"X vs Y vs Z"Capture comparison searches
"Migrating from Y to X"Convert competitor users
"X + [Popular Tool]"Capture integration searches
"How We Use X at [Company]"Social proof, real use case
"X Performance Benchmarks"Technical credibility

Avoiding Burnout

RiskMitigation
Overwhelming issuesSet response SLA expectations
Feature demandsPublic roadmap, RFC process
Solo maintenanceActively recruit co-maintainers
Always-on pressureScheduled "office hours" vs. 24/7
Negative feedbackCode of conduct, moderation

Metrics That Matter

Vanity vs. Value

Vanity MetricValue Metric
StarsActive issues + PRs
ForksReturned contributors
DownloadsWeekly active users
Twitter followersCommunity engagement

What to Track

MetricWhere to Find It
Stars over timeGitHub Insights, Star History
ClonesGitHub Traffic
ReferrersGitHub Traffic
npm downloadsnpm-stat.com
Community sizeDiscord/Slack member count
Contributor countGitHub Insights
Issue response timeManual tracking

Tools

ToolUse Case
OctolensMonitor mentions of your project across GitHub, HN, Reddit, Twitter, and Stack Overflow. Track competitor projects. Find contributors asking questions.
Star HistoryTrack star growth over time
npm-statDownload statistics
GitHub TrafficViews, clones, referrers
Shield.ioDynamic badges
All ContributorsRecognize all contributors
ProbotAutomate GitHub workflows

Related Skills

  • developer-audience-context — Know who your users are
  • community-building — Build Discord/Slack community
  • devrel-content — Create supporting content
  • developer-advocacy — Conference talks, podcasts
  • hacker-news-strategy — Launch and engage on HN

Frequently asked questions

What does the Open Source Marketing AI skill do?

When the user wants to market an open source project authentically. Trigger phrases include "open source marketing," "OSS marketing," "GitHub marketing," "promote my library," "grow stars," "launch open source," "open source growth," or "contributor marketing."

Why use Open Source Marketing on TypingMind?

Because you install it once and use it with any model. Open Source Marketing 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 Open Source Marketing in TypingMind?

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

Which AI models can use Open Source Marketing?

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 Open Source Marketing?

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

Is the Open Source Marketing 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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