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Ph Content Recycling

Community
manojbajaj95
ph-content-recycling

Repurpose Product Hunt launch content across channels. Use this skill to maximize the value of your launch assets by adapting them for blog posts, documentation, social media, and more.

Overview

Publishermanojbajaj95
Repositoryclaude-gtm-plugin
Skill nameph-content-recycling
Stars
109
Forks
34
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 manojbajaj95 on GitHub. Read the source before you install it.

Installation

Install the Ph Content Recycling 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/manojbajaj95/claude-gtm-plugin/tree/main/skills/ph-content-recycling
  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/manojbajaj95/claude-gtm-plugin.git /tmp/claude-gtm-plugin
mkdir -p .claude/skills
cp -r /tmp/claude-gtm-plugin/skills/ph-content-recycling .claude/skills/ph-content-recycling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ph Content Recycling 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 Ph Content Recycling 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 Ph Content Recycling 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.

Product Hunt Content Recycling

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

This skill helps you repurpose Product Hunt launch content across multiple channels to extend your launch impact.

When to Use This Skill

  • After your PH launch
  • Maximizing content ROI
  • Building your content library
  • Extending launch visibility
  • Creating evergreen materials

The Content Recycling Framework

What You Created for PH

LAUNCH ASSETS:
├── Tagline
├── Description (short + long)
├── Maker comment
├── Gallery images (4-6)
├── Video demo
├── Thumbnail/GIF
├── Email templates
├── Social posts
└── Supporter materials

Where to Repurpose

DESTINATION CHANNELS:
├── Website (landing page, about, features)
├── Blog (launch story, learnings, how-to)
├── Documentation (README, quickstart)
├── Social media (ongoing posts)
├── Email marketing (sequences)
├── Other platforms (directories, communities)
├── Sales materials (decks, one-pagers)
└── PR/Media (press releases, pitches)

Channel-by-Channel Guide

1. Website Updates

Landing Page:

  • Tagline → Headline
  • Description → Value proposition section
  • Gallery images → Feature screenshots
  • Video → Hero or features section
  • Maker comment → About section

Features Page:

  • Gallery images → Feature highlights
  • Demo video → Embedded walkthrough
  • Description points → Feature list

About Page:

  • Origin story from maker comment
  • Mission/vision from description
  • Team info (if mentioned)

Homepage Badge:

html
<!-- Product Hunt Badge -->
<a href="https://www.producthunt.com/posts/your-product">
  <img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=YOUR_ID" />
</a>

2. Blog Content

Launch Announcement Post:

Title: "Introducing [Product]: [Tagline]"

Contents:
- What we launched (description)
- Why we built it (maker comment story)
- Key features (from gallery)
- Getting started (CTA)

Launch Retrospective:

Title: "What We Learned Launching on Product Hunt"

Contents:
- Our results (numbers)
- What worked
- What didn't
- Advice for others

Feature Deep-Dive (from each gallery image):

Title: "How [Feature] Helps You [Benefit]"

Contents:
- The problem (from description)
- Our solution (from demo)
- How to use it (new content)
- Results/examples

3. Documentation

README.md:

markdown
# [Product Name]

> [Tagline]

[Description - first paragraph]

![Product Screenshot](gallery-image-1.png)

## Features

- [Feature 1 from gallery]
- [Feature 2 from gallery]
- [Feature 3 from gallery]

## Getting Started

[Adapted from demo script]

## Support

[From maker comment closing]

---

🏆 Featured on Product Hunt: [Badge/Link]

Quick Start Guide:

  • Adapted from demo video script
  • Screenshots from gallery
  • Step-by-step from description

4. Social Media (Ongoing)

Thread Formats:

Origin Story Thread:

1/ Just launched [Product] on Product Hunt! 🚀

Here's the story of why we built it...

[Maker comment story, broken into tweets]

n/ Try it here: [link]

Lessons Learned Thread:

1/ We launched on Product Hunt and got [X upvotes].

Here are [X] things we learned:

[List of lessons]

n/ Full details: [blog link]

Feature Highlight Posts:

[Gallery image]

[Feature name] makes [benefit] easy.

Here's how:
[Demo or explanation]

Try it: [link]

5. Email Marketing

Welcome Sequence:

  • Email 1: Welcome (adapted maker comment)
  • Email 2: Feature 1 (gallery image 1)
  • Email 3: Feature 2 (gallery image 2)
  • Email 4: Success story
  • Email 5: CTA

Newsletter:

  • Launch announcement
  • Feature highlights
  • User stories

6. Other Directories

Platforms to List:

  • BetaList
  • SaaSHub
  • AlternativeTo
  • Capterra/G2
  • AppSumo (if applicable)
  • Indie Hackers
  • Hacker News (Show HN)

Adapted Content: Each platform needs slightly different format, but core content stays same:

  • Tagline (may need length adjustment)
  • Description (platform-specific)
  • Screenshots (gallery images)
  • Links

7. Sales Materials

One-Pager:

[LOGO]

[Tagline]

THE PROBLEM
[From description]

THE SOLUTION
[From description + demo]

KEY FEATURES
[From gallery]

RESULTS
[From launch metrics or testimonials]

GET STARTED
[CTA]

Pitch Deck Slides:

  • Slide 2: Problem (from description)
  • Slide 3: Solution (tagline + demo)
  • Slide 4-6: Features (gallery images)
  • Slide 7: Traction (PH results + users)

8. PR/Media

Press Release:

FOR IMMEDIATE RELEASE

[Tagline] — [Company] Launches [Product]

[City, Date] — [First paragraph of description]

[Key features and benefits]

"[Quote from maker comment]" — [Founder Name], [Title]

[Availability and pricing]

About [Company]:
[Brief company description]

Contact:
[Media contact info]

Content Transformation Matrix

Original AssetBlogSocialEmailDocsPR
TaglineTitleHookSubjectHeaderHeadline
DescriptionBodyThreadsBodyOverviewBody
GalleryImagesPostsImagesScreenshotsAttachments
VideoEmbedClipGIFTutorialAsset
Maker CommentStoryThreadIntroAboutQuote

Recycling Workflow

Step 1: Inventory

List all assets created for launch:

  • Tagline
  • Short description
  • Long description
  • Maker comment
  • Gallery image 1
  • Gallery image 2
  • Gallery image 3
  • Gallery image 4
  • Video demo
  • Thumbnail
  • Email templates
  • Social templates

Step 2: Prioritize Channels

Rank by impact:

  1. [Channel] - [Why important]
  2. [Channel] - [Why important]
  3. [Channel] - [Why important]

Step 3: Adapt

For each priority channel:

  • Review format requirements
  • Adapt content to fit
  • Maintain core message
  • Optimize for platform

Step 4: Schedule

Create content calendar:

DateChannelContentAsset Used
[Date]BlogLaunch postAll
[Date]TwitterThreadStory
[Date]LinkedInFeature postGallery 1

Quick Win Templates

Twitter Thread from Maker Comment

  1. Take maker comment
  2. Split into 5-7 logical chunks
  3. Add hook as tweet 1
  4. Add CTA as final tweet

Blog Post from Description

  1. Use tagline as title
  2. Expand each sentence of description into paragraph
  3. Add gallery images as illustrations
  4. Add demo video embed

Email from Social Posts

  1. Combine 3-4 social posts
  2. Add personal greeting
  3. Add CTA
  4. Send!

Recycling Checklist

Week 1 After Launch

  • PH badge added to website
  • Landing page updated with launch assets
  • Blog launch post published
  • README updated

Week 2-4

  • Feature posts scheduled
  • Email sequence created
  • Other directories submitted
  • Sales materials updated

Ongoing

  • Social posts from old assets
  • Blog posts from features
  • Email content from results

Output Format

CONTENT RECYCLING PLAN: [Product Name]

ASSETS AVAILABLE:
- [List all launch assets]

PRIORITY CHANNELS:
1. [Channel] - [Reason]
2. [Channel] - [Reason]
3. [Channel] - [Reason]

CONTENT CALENDAR:

Week 1:
- [Date]: [Content] → [Channel]
- [Date]: [Content] → [Channel]

Week 2:
- [Date]: [Content] → [Channel]
- [Date]: [Content] → [Channel]

ADAPTATIONS NEEDED:
- [Asset] → [Channel]: [Changes needed]
- [Asset] → [Channel]: [Changes needed]

QUICK WINS:
- [ ] [Easy recycling task]
- [ ] [Easy recycling task]
- [ ] [Easy recycling task]

Frequently asked questions

What does the Ph Content Recycling AI skill do?

Repurpose Product Hunt launch content across channels. Use this skill to maximize the value of your launch assets by adapting them for blog posts, documentation, social media, and more.

Why use Ph Content Recycling on TypingMind?

Because you install it once and use it with any model. Ph Content Recycling 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 Ph Content Recycling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/ph-content-recycling. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ph Content Recycling?

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 Ph Content Recycling?

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

Is the Ph Content Recycling AI skill free?

Yes. It is published on GitHub by manojbajaj95 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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