{"id":"35ffc77d-3bbc-4510-b736-5b32d7256d39","shortId":"G8KuDP","kind":"skill","title":"founder-content","tagline":"Complete content creation and multiplication system for founders and indie hackers. Use for writing social posts, repurposing content, creating threads, build-in-public updates, or content planning. Triggers on \"write a post\", \"create content\", \"repurpose this\", \"thread\", \"build ","description":"# Founder Content System\n\nEverything for creating and multiplying content as a solo founder.\n\n---\n\n## Master Content Creation Workflow\n\n**Core Principle: Research → Extract → Adapt → Write**\n\nEvery piece of content must go through this workflow.\n\n### Step 1: Research Hot Content (REQUIRED)\n\nBefore writing ANY content, research what's working:\n\n```\n1. Search for viral/high-engagement posts on target platform\n2. Find 3-5 top-performing posts on similar topic\n3. Note: hook structure, format, engagement type, tone\n4. Identify what makes them work (specifics, emotion, contrarian angle)\n```\n\n**Search patterns:**\n- `[platform] [topic] viral`\n- `site:[platform].com [topic] lessons learned`\n- `[topic] founder thread high engagement`\n\n### Step 2: Extract Winning Patterns\n\n| What to Extract | Why |\n|-----------------|-----|\n| **Hook formula** | First line determines if people read |\n| **Number usage** | Specifics add credibility ($400→$180) |\n| **Emotion triggers** | What makes people react (cringe, saved, wasted) |\n| **Story arc** | How tension and payoff are structured |\n| **CTA design** | What drives comments vs likes |\n\n### Step 3: Adapt with Your Voice\n\n**Core Voice Principles:**\n- **Authentic** — real stories, not theory\n- **Sharp** — specific numbers, direct claims\n- **Self-deprecating** — own failures openly\n- **No fluff** — substance over motivation\n\n**Adaptation Rules:**\n1. Keep the winning hook structure\n2. Replace content with YOUR real stories\n3. Add specific numbers ($3,000 wasted, saved $1,000+)\n4. Include genuine emotion (still cringe, learned the hard way)\n5. Avoid: vague claims, motivational fluff, humblebragging\n\n### Step 4: Platform-Specific Polish\n\n| Platform | Key Adaptation |\n|----------|---------------|\n| **Twitter/X** | Punchy, <280 chars, threads for depth |\n| **LinkedIn** | Longer, professional vulnerability, spaced lines |\n| **Xiaohongshu** | Conversational Chinese, emotional words, 2K images |\n\n---\n\n## Build-in-Public Workflow\n\n### Step 1: Gather Context\n\n**From GitHub (auto mode):**\n- Recent commits since last post\n- PR titles and descriptions\n- Release notes if tagged\n\n**From user input (manual mode):**\n- What shipped (feature/fix/improvement)\n- Who it helps\n- Why now\n- One metric (optional)\n- One lesson learned\n\n### Step 2: Extract the Story\n\nEvery post answers 5 questions:\n1. **What changed?** (the ship)\n2. **Who benefits?** (the user)\n3. **Why it matters now?** (the context)\n4. **One proof** (metric, example, before/after)\n5. **One takeaway** (lesson or insight)\n\n### Step 3: Render for Each Platform\n\n**Twitter/X:** Under 280 chars, concise, slightly spicy, one insight + one proof\n\n**LinkedIn:** 8-20 lines with spacing, narrative + framework + takeaway\n\n**Xiaohongshu:** Chinese-first, structure: 背景→步骤→结果→踩坑→总结\n\n### Step 4: Quality Check\n\n- [ ] No identical cross-posts\n- [ ] Each post has a takeaway\n- [ ] No banned patterns\n- [ ] Metrics/proof included where possible\n\n---\n\n## Repurposing Framework\n\n**Core Principle:** One Excellent Piece → 7-10 Platform-Native Derivatives\n\n### Step 1: Evaluate Source\n\n**High-Value (prioritize):** Evergreen topics, top performers, content with data/frameworks, long-form (>1000 words)\n\n**Skip:** Trend-based, low performers, thin content\n\n### Step 2: Extract Atomic Units\n\n| Element | What to Extract |\n|---------|----------------|\n| Hook | Opening line, attention-grabber |\n| Stats | Numbers, percentages, metrics |\n| Frameworks | Step processes, models |\n| Quotes | Memorable phrases |\n| Stories | Anecdotes, case studies |\n| Takeaways | Key lessons, actionable tips |\n\n### Step 3: Apply STEPPS (from Contagious)\n\nEvery derivative needs at least one:\n1. **Social Currency** — Makes sharer look smart\n2. **Triggers** — Connected to daily habits\n3. **Emotion** — Evokes awe, surprise, anger\n4. **Public** — Visible behavior\n5. **Practical Value** — Useful, saves time/money\n6. **Stories** — Narrative that carries message\n\n### Step 4: Distribution Schedule\n\n```\nDay 0: Original published\nDay 1-2: Tease/announcement\nDay 3-7: First wave derivatives\nWeek 2-3: Second wave\nWeek 4+: Evergreen rotation\n```\n\n---\n\n## Content Pillars\n\nGood pillars for a founder/builder:\n\n1. **Your Tech/Product** — What you're building, how it works\n2. **Building in Public** — Process > results, real learnings, metrics\n3. **Founder Perspective** — Unique angle (background, market, journey)\n4. **Systems Thinking** — Workflows, optimization, productivity\n\n**Weekly mix:** 2-3 posts from pillars 1-2, 1 post from pillars 3-4\n\n---\n\n## Voice Rules\n\n**Always:**\n- Include one takeaway per post\n- Adapt content per platform\n- Use metrics when available\n\n**Never:**\n- Motivational fluff (\"believe in yourself\")\n- Humblebragging / name-dropping\n- Vague claims (\"game-changing\", \"revolutionary\")\n- Thought-leader cringe\n- Dunking on competitors by name\n\n**Voice Summary:**\n- Authentic (not performative)\n- Direct, earned confidence\n- Self-deprecating humor\n- Specific details\n- No inspirational soup\n\n---\n\n## Thread Formula\n\n```\nTweet 1 (Hook): Surprising stat or contrarian take\nTweet 2-5: One key point per tweet with proof\nTweet 6: Common mistake / \"what most get wrong\"\nTweet 7: The solution/framework\nTweet 8: CTA + callback to original\n```\n\nWrite **10-15 versions of hook** before publishing.\n\n---\n\n## Example Transformation\n\n**Input (GitHub commit):**\n```\nfeat: connect MCP to content scheduler\n- Added automatic content storage\n- Triggers on GitHub push\n- Posts to 3 platforms\n```\n\n**Output:**\n\n**Twitter/X:**\n> Just wired up Claude → DB → auto-posting pipeline.\n> GitHub push now triggers content across 3 platforms.\n> Surprising part: 80% of the work was tone adaptation, not infra.\n\n**LinkedIn:**\n> Shipped: automated \"build in public\" pipeline\n>\n> What it does: GitHub commits → AI-adapted posts → 3 platforms\n>\n> What I learned: The hard part isn't automation—it's maintaining authentic voice at scale.\n\n**Xiaohongshu:**\n> 标题：用 Claude + MCP 搭了个自动发帖系统\n>\n> 背景：每次提交都想分享，但手动发三个平台太累\n>\n> 做法：Claude 读 commit → 生成三版本 → 自动发\n>\n> 踩坑：以为难点是技术，其实是语气适配\n>\n> 总结：自动化不是复制粘贴，是让机器学会\"变脸\"\n\n---\n\n## Platform Defaults\n\n| Platform | Language | Cadence | Format |\n|----------|----------|---------|--------|\n| Twitter/X | English | 3-5/week | <280 chars, threads rare |\n| LinkedIn | English | 1-2/week | 8-20 lines, spaced |\n| Xiaohongshu | Chinese + EN tools | 2/week | 干货 + 踩坑 mix 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