# CONTENT ENGINE

**Initiative:** INITIATIVE-011A  
**Date:** 2026-06-23  
**Purpose:** 50 content ideas to drive discovery, sharing, and contribution.

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## LinkedIn (12 ideas)

| # | Title / Hook | Format | Viral angle |
|---|-------------|--------|------------|
| L1 | "Every AI agent builder rediscovers the same skills. We built the fix." | Carousel | Problem-solution; shareable pain point |
| L2 | "LATS beats ReAct by 8.3% on HotpotQA. Here's why it matters." | Single post + graph | Benchmark shock; data-backed |
| L3 | "17 skill categories your AI agent needs. A visual map." | Infographic | Reference share; saves and bookmarks |
| L4 | "How we built an OS for AI agent capabilities (open source, MIT)" | Long-form article | Founder story + technical depth |
| L5 | "The RAG engineer's complete skill stack — 8 skills, 4 weeks" | Learning path carousel | Practical guide; saves and shares |
| L6 | "368 AI agent skills. All free. All structured. All queryable." | Stats post | Big number + free = instant shares |
| L7 | "We documented every failure mode for 50 AI skills. Here are the top 10." | List post | Failure porn; highly shareable |
| L8 | "Contributor of the Month: @name built X skills this month" | Recognition post | Social proof; contributor recruiter |
| L9 | "The difference between ReAct, CoT, ToT, and LATS — in one table" | Table post | Reference material; heavy saves |
| L10 | "We just hit [X] stars. Here's what we learned building in public." | Milestone post | Social proof + behind-the-scenes |
| L11 | "Your AI agent's memory architecture — 5 patterns compared" | Carousel | Technical depth; saves and shares |
| L12 | "How to contribute to an AI open-source project in 20 minutes" | How-to article | Contributor acquisition |

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## X / Twitter (12 ideas)

| # | Tweet concept | Format | Viral angle |
|---|--------------|--------|------------|
| X1 | "I just ran ReAct vs LATS on HotpotQA. LATS won by 8.3%. Full benchmark: [link]" | Single tweet + chart | Data; quote-tweet bait |
| X2 | Thread: "17 skill categories every AI agent needs. A thread. 🧵" | Thread | Discovery; high RT potential |
| X3 | "pip install skills-tree → instant access to 368 structured AI agent skills" | Single tweet + code screenshot | Low friction; developer appeal |
| X4 | "Every AI agent memory pattern in one graph. [image]" | Image tweet | Visual; save + RT |
| X5 | "We just added [skill]. Here's why it matters for multi-agent systems." | Weekly skill drop | Consistent cadence; builds followers |
| X6 | Thread: "The 10 most underrated AI agent skills (backed by benchmarks) 🧵" | Thread | Contrarian + data |
| X7 | "Our REQUIRES graph just hit 15 edges. Here's what it means for learning paths." | Behind-the-scenes | Transparency; builds community |
| X8 | "What's the difference between ReAct, CoT, and ToT? One image. [link for full benchmark]" | Image + link | Education; saves |
| X9 | "We open-sourced the skill OS for AI agents. 368 skills, MIT license, pip-installable." | Announcement | Free + open source = RTs |
| X10 | "Hot take: most AI agent tutorials teach implementation. Almost none teach which skill to use when. We built the fix." | Opinion tweet | Contrarian; quote-tweet bait |
| X11 | "[New benchmark] Claude 3.7 vs GPT-4o on function calling. Results: [image]" | Benchmark drop | Data shock; high engagement |
| X12 | Reply strategy: answer every "what skills does an agent need for X?" question with relevant skills-tree links | Engagement | Discovery + helpfulness loop |

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## Reddit (8 ideas)

| # | Title | Subreddit | Angle |
|---|-------|-----------|-------|
| R1 | "I built an open-source OS for AI agent skills — 368 skills, MIT, pip-installable" | r/MachineLearning, r/artificial | Launch post |
| R2 | "We benchmarked ReAct vs LATS vs CoT on HotpotQA — here are the real numbers" | r/MachineLearning | Benchmark; data-first |
| R3 | "Every RAG retrieval strategy compared — HyDE wins by 12% recall" | r/LocalLLaMA, r/MachineLearning | Specific result; high comment potential |
| R4 | "How we structured 368 AI agent skills into a queryable dependency graph" | r/programming, r/opensource | Technical architecture |
| R5 | "The failure modes nobody talks about: 50 AI skills + their documented failure cases" | r/LocalLLaMA | Practical; saves developer pain |
| R6 | "Good first issue: we need 308 skill stubs filled in — here's how" | r/opensource | Contributor acquisition |
| R7 | "Ask me anything: we built the skills taxonomy for AI agents" | r/artificial | AMA; community building |
| R8 | "Framework comparison: which AI agent framework uses which skill patterns?" | r/MachineLearning | Framework-agnostic angle; broad appeal |

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## Dev.to (6 ideas)

| # | Title | Format | SEO angle |
|---|-------|--------|----------|
| D1 | "Building an AI Agent? Here's Every Skill It Needs" | Tutorial | High search volume; comprehensive |
| D2 | "ReAct vs LATS: A Practical Benchmark for Reasoning Agents" | Deep-dive | Technical SEO; cited reference |
| D3 | "The Complete RAG Engineer Learning Path (8 Skills, 4 Weeks)" | Learning path | Evergreen; bookmark magnet |
| D4 | "How to Contribute to an Open-Source AI Knowledge Graph" | Contribution guide | Contributor acquisition |
| D5 | "pip install skills-tree: The AI Agent Skills API" | API tutorial | Developer discovery |
| D6 | "17 AI Agent Skill Categories Explained with Code" | Explainer series | Series = return readers |

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## Hacker News (6 ideas)

| # | Title | Angle | HN suitability |
|---|-------|-------|----------------|
| HN1 | "Show HN: Skills Tree — a versioned, queryable graph of 368 AI agent skills" | Show HN launch | Classic Show HN; technical depth |
| HN2 | "Ask HN: What skills taxonomy do you use when designing AI agents?" | Ask HN | Discussion starter |
| HN3 | "We benchmarked every major reasoning strategy for AI agents" | Data-first | HN loves benchmarks |
| HN4 | "The problem with AI agent tutorials: they teach implementation, not capability design" | Opinion piece | Contrarian; HN loves provocation |
| HN5 | "How we built a community-governed, versioned knowledge graph for AI agent capabilities" | Technical architecture | HN loves systems design |
| HN6 | "Skills Tree crossed [milestone] — here's what we learned building open-source AI infrastructure" | Milestone + lessons | HN loves retrospectives |

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## YouTube (6 ideas)

| # | Title | Format | Duration |
|---|-------|--------|----------|
| Y1 | "I built an OS for AI agent skills — here's how" | Founder explainer | 8–12 min |
| Y2 | "LATS vs ReAct vs CoT: Which AI reasoning strategy actually wins?" | Benchmark breakdown | 10–15 min |
| Y3 | "Build a RAG agent in 20 minutes using the Skills Tree API" | Tutorial | 20 min |
| Y4 | "The complete AI agent skill stack — 17 categories explained" | Educational deep-dive | 15–20 min |
| Y5 | "How to contribute to Skills Tree in 10 minutes" | Contributor onboarding | 8–10 min |
| Y6 | "Live: exploring the Skills Tree graph — 368 AI agent capabilities" | Live walkthrough | 30 min live |

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## Content Calendar — Month 1 Sprint

| Week | Platform | Content |
|------|---------|--------|
| W1 | HN + Reddit | Show HN launch post |
| W1 | X/Twitter | Thread: 17 skill categories |
| W2 | LinkedIn | ReAct vs LATS benchmark carousel |
| W2 | Dev.to | "Building an AI Agent? Every Skill It Needs" |
| W3 | X/Twitter | Benchmark drop: Claude vs GPT-4o function calling |
| W3 | Reddit | RAG retrieval strategies compared |
| W4 | LinkedIn | Learning path carousel: RAG Engineer |
| W4 | YouTube | "I built an OS for AI agent skills" |

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*Run this engine consistently. Virality is a volume + quality game.*
