blog-repurpose
Repurpose blog posts for social media, email, YouTube, Reddit, and LinkedIn.
Skill by Infrasity-Labs
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/infrasity-labs-blog-repurpose
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, marketing, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/blog-repurpose
What's inside
- Skill name
blog-repurpose- Description
- Repurpose blog posts for social media, email, YouTube, Reddit, and LinkedIn. Generates Twitter/X threads, LinkedIn articles, YouTube scripts, Reddit discussion posts, email newsletter excerpts. Adapts tone for each platform. Use when user says "repurpose", "blog repurpose", "share blog", "social media", "twitter thread", "linkedin post", "youtube script", "reddit post".
- License
- MIT
- Instructions
- 228 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Blog Repurpose: Cross-Platform Content Adaptation Transforms blog posts into platform-optimized content for social media, email, video, and community channels. Each output adapts tone, format, and length to match platform conventions and audience expectations. **FLOW dual-surface thinking (when applicable).** When the original blog post targets a query that also surfaces in a community (Reddit thread, YouTube comment, LinkedIn discussion), repurpose for the community in a way that reinforces the blog. Cross-link both directions: the blog references the community discussion as social proof; the community post references the blog as the canonical long-form answer. This is FLOW surface 5 in action. See `skills/blog/references/flow-alignment.md` and `/blog flow win` for the dual-surface scorecard. ## Workflow ### Step 1: Read & Analyze Read the blog post and extract the core content elements: - **Title** - Original blog post title - **Key insights** (5-7) - The most important takeaways, each as a standalone statement - **Statistics** - All sourced data points with attribution - **Quotes** - Any notable quotations or expert statements - **Main argument** - The central thesis in 1-2 sentences - **TL;DR** - A 2-3 sentence summary that delivers standalone value - **Target audience** - Who the blog was written for - **Topic category** - For subreddit and hashtag selection ### Step 2: Ask User Prompt the user to select which platforms to generate content for: 1. Twitter/X thread 2. LinkedIn article 3. YouTube video script 4. Reddit discussion post 5. Email newsletter excerpt 6. All of the above If the user specifies a platform directly (e.g., "repurpose for Twitter"), skip this step and generate for that platform only. ### Step 3: Twitter/X Thread Generate a complete thread optimized for Twitter/X engagement: **Hook tweet** (tweet 1): - Open with a curiosity gap or bold statistic - Must be under 280 characters - Should make someone stop scrolling - Pattern: "[Surprising stat or contrarian take]. Here's what [audience] needs to know:" **Insight tweets** (tweets 2-6): - One key point per tweet, each delivering standalone value - Include a statistic with source where possible - Use line breaks for readability - Each tweet should work even if read in isolation **Closing tweet** (final): - Summarize the main takeaway in one sentence - Include a clear CTA linking to the full post - Add relevant hashtags (maximum 2 per tweet) - Pattern: "Read the full breakdown: [link]\n\n#hashtag1 #hashtag2" **Thread formatting rules:** - Number tweets as 1/, 2/, etc. for clarity - No tweet exceeds 280 characters - Thread length: 7-9 tweets total - Tone: conversational, direct, insight-dense ### Step 4: LinkedIn Article Adapt the blog for LinkedIn's professional audience and format: **Length:** 800-1,200 words (shorter than the blog post) **Opening** (first 2-3 lines visible before "See more"): - Start with a personal story, observation, or contrarian take - This is the hook - it must compel clicking "See more" - Never start with "I'm excited to share..." or similar cliches **Body structure:** - Use LinkedIn-native formatting: bold text for emphasis, single-line paragraphs, generous line breaks between points - Numbered lists for key takeaways - Short paragraphs (1-3 sentences each) - Include 2-3 key statistics with sources - More personal and opinion-led than the original blog **Closing:** - End with an engagement question that invites comments - Pattern: "What's your experience with [topic]? I'd love to hear in the comments." - Do NOT include external links in the body (LinkedIn deprioritizes them) - Add the blog link in the first comment instead (note this in the output) **Tone:** Professional but conversational. First-person perspective. Share what you learned or observed, not just what the data says. ### Step 5: YouTube Script Generate a complete video script structured for retention: **Hook** (0-15 seconds): - Bold statement or surprising question drawn from the blog's strongest insight - Pattern: "Did you know that [shocking stat]? Today I'm going to show you [promise]." - Must grab attention before viewers click away **Intro** (15-60 seconds): - What viewers will learn (3 bullet points) - Why it matters right now - Brief credibility statement - "[SHOW TITLE CARD]" **Main content** (3-5 talking points): - Derived from the blog's H2 sections - Each section: key point, supporting data, practical example - Include visual cues throughout: - `[SHOW CHART: description]` - for data visualizations - `[CUT TO SCREENCAST]` - for demonstrations - `[B-ROLL: description]` - for visual variety - `[TEXT ON SCREEN: key stat]` - for emphasis - Transition phrases between sections **CTA** (final 15-30 seconds):
From Infrasity-Labs/dev-gtm-claude-skills, MIT.
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Signals
- Stars
- 144
- Forks
- 16
- Open issues
- 1
- Last commit (this folder)
- Jun 9, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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blog-repurpose skill. Agent Mart. https://agentmart.dev/skills/infrasity-labs-blog-repurpose (last updated 2026-10-24)