skill-seekers-reference/RELEASE_CONTENT_CHECKLIST.md

📝 Release Content Checklist

Quick reference for what to create and where to post.

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📱 Content to Create (Priority Order)

🔥 MUST CREATE (This Week)

1. Main Release Blog Post

File: blog/v2.9.0-release.md Platforms: Dev.to → Medium → GitHub Discussions Length: 800-1200 words Time: 3-4 hours

Outline:

Title: Skill Seekers v2.9.0: The Universal Documentation Preprocessor

1. Hook (2 sentences on the problem)
2. TL;DR with key stats (16 formats, 1,852 tests, 18 MCP tools)
3. The Problem (everyone rebuilds scrapers)
4. The Solution (one command → any format)
5. Show 3 examples:
   - RAG: LangChain/Chroma
   - AI Coding: Cursor
   - Claude skills
6. What's new in v2.9.0 (bullet list)
7. Installation + Quick Start
8. Links to docs/examples
9. Call to action (star, try, share)

Key Stats to Include:

• 16 platform adaptors
• 1,852 tests passing
• 18 MCP tools
• 58,512 lines of code
• 24+ preset configs
• Available on PyPI: pip install skill-seekers

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2. Twitter/X Thread

File: social/twitter-thread.txt Platform: Twitter/X Length: 7-10 tweets Time: 1 hour

Structure:

Tweet 1: Announcement + hook (problem)
Tweet 2: The solution (one tool, 16 formats)
Tweet 3: RAG use case (LangChain example)
Tweet 4: AI coding use case (Cursor example)
Tweet 5: MCP tools showcase
Tweet 6: Test coverage (1,852 tests)
Tweet 7: Installation command
Tweet 8: GitHub link + CTA

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3. Reddit Posts

File: social/reddit-posts.md Platforms: r/LangChain, r/LLMDevs, r/cursor Length: 300-500 words each Time: 1 hour

r/LangChain Version:

• Focus: RAG pipeline automation
• Title: "I built a tool that scrapes docs and outputs LangChain Documents"
• Show code example
• Mention: metadata preservation, chunking

r/cursor Version:

• Focus: Framework knowledge
• Title: "Give Cursor complete React/Vue/etc knowledge in 2 minutes"
• Show .cursorrules workflow
• Before/after comparison

r/LLMDevs Version:

• Focus: Universal preprocessing
• Title: "Universal documentation preprocessor - 16 output formats"
• Broader appeal
• Link to all integrations

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4. LinkedIn Post

File: social/linkedin-post.md Platform: LinkedIn Length: 200-300 words Time: 30 minutes

Tone: Professional, infrastructure-focused Angle: Developer productivity, automation Hashtags: #AI #RAG #LangChain #DeveloperTools #OpenSource

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📝 SHOULD CREATE (Week 1-2)

5. RAG Tutorial Post

File: blog/rag-tutorial.md Platform: Dev.to Length: 1000-1500 words Time: 3-4 hours

Content:

• Step-by-step: React docs → LangChain → Chroma
• Complete working code
• Screenshots of output
• Before/after comparison

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6. AI Coding Assistant Guide

File: blog/ai-coding-guide.md Platform: Dev.to Length: 800-1000 words Time: 2-3 hours

Content:

• Cursor integration walkthrough
• Show actual code completion improvements
• Also mention Windsurf, Cline

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7. Comparison Post

File: blog/comparison.md Platform: Dev.to Length: 600-800 words Time: 2 hours

Content:

Aspect	Manual	Skill Seekers
Time	2 hours	2 minutes
Code	50+ lines	1 command
Quality	Raw HTML	Structured
Testing	None	1,852 tests

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🎥 NICE TO HAVE (Week 2-3)

8. Quick Demo Video

Length: 2-3 minutes Platform: YouTube, Twitter, LinkedIn Content:

• Screen recording
• Show: scrape → package → use
• Fast-paced, no fluff

9. GitHub Action Tutorial

File: blog/github-action.md Platform: Dev.to Content: Auto-update skills on doc changes

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📧 Email Outreach Targets

Week 1 Emails (Send Immediately)

1. LangChain Team

   • Contact: contact@langchain.dev or Harrison Chase
   • Subject: "Skill Seekers - LangChain Integration + Data Loader Proposal"
   • Attach: LangChain example notebook
   • Ask: Documentation mention, data loader contribution

2. LlamaIndex Team

   • Contact: hello@llamaindex.ai
   • Subject: "Skill Seekers - LlamaIndex Integration"
   • Attach: LlamaIndex example
   • Ask: Collaboration on data loader

3. Pinecone Team

   • Contact: community@pinecone.io
   • Subject: "Integration Guide: Documentation → Pinecone"
   • Attach: Pinecone integration guide
   • Ask: Feedback, docs mention

Week 2 Emails (Send Monday)

4. Cursor Team

   • Contact: support@cursor.sh
   • Subject: "Integration Guide: Skill Seekers → Cursor"
   • Attach: Cursor integration guide
   • Ask: Docs mention

5. Windsurf/Codeium

   • Contact: hello@codeium.com
   • Subject: "Windsurf Integration Guide"
   • Attach: Windsurf guide

6. Cline Maintainer

   • Contact: Saoud Rizwan (via GitHub issues or Twitter @saoudrizwan)
   • Subject: "Cline + Skill Seekers MCP Integration"
   • Angle: MCP tools

7. Continue.dev

   • Contact: Nate Sesti (via GitHub)
   • Subject: "Continue.dev Context Provider Integration"
   • Angle: Multi-platform support

Week 4 Emails (Follow-ups)

8-11. Follow-ups to all above - Share results/metrics - Ask for feedback - Propose next steps

12-15. Podcast/YouTube Channels - Fireship (fireship.io/contact) - Theo - t3.gg - Programming with Lewis - AI Engineering Podcast

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🌐 Where to Share (Priority Order)

Tier 1: Must Post (Day 1-3)

• Dev.to (main blog)
• Twitter/X (thread)
• GitHub Discussions (release notes)
• r/LangChain
• r/LLMDevs
• Hacker News (Show HN)

Tier 2: Should Post (Day 3-7)

• Medium (cross-post)
• LinkedIn
• r/cursor
• r/ClaudeAI
• r/webdev
• r/programming

Tier 3: Nice to Post (Week 2)

• r/LocalLLaMA
• r/selfhosted
• r/devops
• r/github
• Product Hunt
• Indie Hackers
• Lobsters

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📊 Tracking Spreadsheet

Create a simple spreadsheet to track:

Platform	Post Date	URL	Views	Engagement	Notes
Dev.to
Twitter
r/LangChain
...

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🎯 Weekly Goals

Week 1 Goals

• 1 main blog post published
• 1 Twitter thread posted
• 3 Reddit posts submitted
• 3 emails sent
• 1 Hacker News submission

Target: 500+ views, 20+ stars, 3+ emails responded

Week 2 Goals

• 1 RAG tutorial published
• 1 AI coding guide published
• 4 more Reddit posts
• 4 more emails sent
• Twitter engagement continued

Target: 800+ views, 40+ total stars, 5+ emails responded

Week 3 Goals

• GitHub Action announcement
• 1 automation tutorial
• Product Hunt submission
• 2 follow-up emails

Target: 1,000+ views, 60+ total stars

Week 4 Goals

• Results blog post
• 4 follow-up emails
• Integration comparison matrix
• Next phase planning

Target: 2,000+ total views, 80+ total stars

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🚀 Daily Checklist

Morning (15 min)

• Check GitHub stars (track growth)
• Check Reddit posts (respond to comments)
• Check Twitter (engage with mentions)

Work Session (1-2 hours)

• Create content OR
• Post to platform OR
• Send outreach emails

Evening (15 min)

• Update tracking spreadsheet
• Plan tomorrow's focus
• Note any interesting comments/feedback

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✅ Pre-Flight Checklist

Before hitting "Publish":

• All links work (GitHub, docs, website)
• Installation command tested: pip install skill-seekers
• Example commands tested
• Screenshots ready (if using)
• Code blocks formatted correctly
• Call to action clear (star, try, share)
• Tags/keywords added

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💡 Pro Tips

Timing

• Dev.to: Tuesday-Thursday, 9-11am EST (best engagement)
• Twitter: Tuesday-Thursday, 8-10am EST
• Reddit: Tuesday-Thursday, 9-11am EST
• Hacker News: Tuesday, 9-10am EST (Show HN)

Engagement

• Respond to ALL comments in first 2 hours
• Pin your best comment with additional links
• Cross-link between posts (blog → Twitter → Reddit)
• Use consistent branding (same intro, same stats)

Email Outreach

• Send Tuesday-Thursday, 9-11am recipient timezone
• Follow up once after 5-7 days if no response
• Keep emails under 150 words
• Always include working example/link

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🎬 START NOW

Your first 3 tasks (Today):

1. Write main blog post (Dev.to) - 3 hours
2. Create Twitter thread - 1 hour
3. Draft Reddit posts - 1 hour

Then tomorrow: 4. Publish on Dev.to 5. Post Twitter thread 6. Submit to r/LangChain

You've got this! 🚀