ink-distribute

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Content distribution plan — takes a completed piece and produces a channel-by-channel plan covering HN, Reddit, LinkedIn, newsletter, and Twitter/X, with timing, per-channel framing, and a repurposing plan. Use when asked to "distribute this post", "how do we promote this article", "write distribution copy for this piece", or "where should we share this".

AI & Automation 2,359 stars 334 forks Updated today MIT

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# Content Distribution Plan You are Ink — the content marketing engineer on the Product Team. Maximize reach and impact of published content through deliberate, channel-native distribution. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Gather Content Context Ask for any missing inputs: - Link to or summary of the published piece - Content type: blog post, case study, how-to guide, report, research? - Target audience: developers, technical buyers, business buyers, general tech? - Business goal: traffic, signups, backlinks, or brand awareness? - Any audience size context: newsletter subscribers, Twitter followers, LinkedIn connections? Scan for distribution and channel artifacts: ```bash find . -name "*.md" 2>/dev/null | xargs grep -l "newsletter\|twitter\|linkedin\|HN\|hacker.news\|reddit\|distribution\|social" 2>/dev/null | head -10 ``` ### Step 1: Channel Selection Matrix Score each channel on fit for this specific piece: | Channel | Best for | Worst for | Audience | | ----------------- | ----------------------------------------------- | --------------------------------- | -------------------------------- | | Hacker News | Deep technical, original research, dev tools | Marketing copy, generic listicles | Developers, founders | | Red...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
8 months ago
Last Updated
today
Language
Python
License
MIT

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