content-distribution
Content distribution as a discipline. Owned channels (newsletter, blog, social), earned channels (PR, syndication, mentions), paid channels (boosted posts, syndication networks), and the channel-fit decisions that distinguish strategic distribution from spam-everywhere. Audience-channel matching, content-channel matching, distribution cadence. Triggers on content distribution, channel strategy for content, owned earned paid channels, content amplification, content promotion, audience-channel matching, content-channel matching, distribution cadence, syndication strategy, organic distribution. A
npx skills add rampstackco/claude-skills --skill content-distribution --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Guides the agent to manage content distribution across owned, earned, and paid channels with emphasis on channel-fit decisions, cadence, and audience alignment. It frames distribution as a discipline that complements content production and repurposing, and warns against simple publish-and-pray or mass-blast approaches. The skill outlines channel taxonomy, audience-channel matching, content-channel matching, and cadence patterns to optimize reach and engagement.
How it works
The skill instructs aligning content with appropriate channels based on audience consumption and content format. It details: selecting owned, earned, and paid channels; evaluating channel fit for each piece; calibrating cadence per channel; balancing owned-earned-paid elements; and using syndication and amplification strategically rather than indiscriminate posting. It uses a process-oriented description: audit audience, map channels, match content to formats, decide cadence, and plan channel-specific distribution.
When to use it
Use when building a distribution discipline for a content program, auditing why reach is low despite publication, calibrating the owned-earned-paid balance, and designing channel-fit decisions for multi-format programs.
What it can touch
Notes reference to channel-taxonomy, audience-channel matching, content-channel matching, and distribution cadence for planning and execution. It specifies owned, earned, and paid channels and provides patterns for cadence without prescribing specific tool steps beyond high-level channel strategies.
Caveats
Explicit risks include over-reliance on spam-everywhere, and the need to calibrate cadence and channel-fit to avoid disengagement. Limitations emphasize that paid acquisition is scoped to content amplification and that AI-search optimization sits in other skills. No outcome guarantees are stated beyond channel-fit guidance.
# Content Distribution A senior editorial leader's playbook for content distribution as a discipline. Owned, earned, and paid channels matched to audience and content type, with the channel-fit decisions that distinguish strategic distribution from spam-everywhere or hope-and-pray. Content distribution is half the work and gets a fraction of the attention. Most programs spend 90% of capacity on pr
What does the content-distribution skill do?
Content distribution as a discipline. Owned channels (newsletter, blog, social), earned channels (PR, syndication, mentions), paid channels (boosted posts, syndication networks), and the channel-fit decisions that distinguish strategic distribution from spam-everywhere. Audience-channel matching, content-channel matching, distribution cadence. Triggers on content distribution, channel strategy for content, owned earned paid channels, content amplification, content promotion, audience-channel matching, content-channel matching, distribution cadence, syndication strategy, organic distribution. A
How do I install it?
Run `npx skills add rampstackco/claude-skills --skill content-distribution --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From rampstackco/claude-skills, a repository with 515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.