← ClaudeAtlas

multi-channel-publishinglisted

Use when repurposing long-form content into channel-specific formats — LinkedIn posts, conference abstracts, podcast briefs, newsletter summaries, tweet threads, or spoken scripts. Encodes compression methodology, channel format rules, evidence density calibration, and audience adaptation. Produces channel-ready derivatives, not summaries.
Avyayalaya/pm-skills-arsenal · ★ 4 · AI & Automation · score 78
Install: claude install-skill Avyayalaya/pm-skills-arsenal
## Purpose Produce a channel-ready content derivative from a source document — not a summary, but a structurally adapted compression that preserves the source's thesis, maintains evidence fidelity, and conforms to the target channel's format constraints, audience expectations, and hook conventions. The output is a publishable artifact with a compression log proving nothing was lost by accident. ## When to Use / When NOT to Use **Use this skill when:** - Repurposing a long-form article (Substack, blog, thesis) into a LinkedIn post, conference abstract, podcast brief, newsletter, tweet thread, spoken script, or executive briefing - Deriving a compressed format from a full argument (compression direction: long → short) - Adapting content for a new audience or channel while preserving the core claim - Producing a spoken script from written beats or a conference proposal - Creating a distribution package (multiple derivatives from one source) **Do NOT use this skill when:** - You need to write the original long-form piece (use the source-appropriate writing methodology first — P2: Substack first, derivatives second) - You need to combine multiple sources into one synthesis (use Narrative Building or Problem Framing) - You need to translate between languages (this is structural adaptation, not linguistic translation) - The source document is internal/confidential and the target channel is public (Context Gate will catch this, but flag it early) - You need a generic summary for