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bookchaowalitbookchaowalit/platform-agent-skills/content-distribution/SKILL.md

content-distribution

Skill0 starsChanged 8 days agoApache-2.0View on GitHub

Plan, create, repurpose, and measure content for Solo Empire across search, social, email, and client-facing channels. Use when turning one idea or delivery insight into an editorial plan, SEO page, post series, newsletter, or distribution experiment.

2 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Start from evidence: repository-owned knowledge, verified delivery results, user-provided material, or clearly attributed sources.

    line 13
  2. Distinctive:

    Create one strong source asset, then derive variants for the selected channels.

    line 14
  3. Distinctive:

    Run a pre-publication review for factual accuracy, permissions, privacy, client confidentiality, legal or regulated claims, brand voice, …

    line 17
  4. Distinctive:

    Keep drafts separate from approved, scheduled, and published content.

    line 18
  5. Distinctive:

    No proof for a result → make the claim narrower or label it as a hypothesis.

    line 23

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Content Distribution

Turn useful expertise into channel-appropriate content that earns attention and produces a measurable next step.

Distribution workflow

  1. Define the audience, problem, offer, desired action, voice, proof available, channel, and publication status.
  2. Start from evidence: repository-owned knowledge, verified delivery results, user-provided material, or clearly attributed sources. Separate facts, opinions, hypotheses, and examples.
  3. Create one strong source asset, then derive variants for the selected channels. Preserve the central claim while adapting length, format, tone, call to action, and accessibility.
  4. For search content, match search intent, use a clear heading structure, write useful metadata, add relevant internal links, and avoid keyword stuffing or fabricated expertise.
  5. For social or email, lead with the reader's problem, give one concrete insight, use a specific low-friction call to action, and make the next step easy to track.
  6. Run a pre-publication review for factual accuracy, permissions, privacy, client confidentiality, legal or regulated claims, brand voice, links, accessibility, and formatting.
  7. Keep drafts separate from approved, scheduled, and published content. Publish or send only with explicit authorization and the correct account or workspace.
  8. Measure impressions, reach, click-through, saves, replies, qualified leads, conversion, and revenue. Record the hypothesis and use results to choose the next experiment.

Decision rules

  • No proof for a result → make the claim narrower or label it as a hypothesis.
  • Client or personal information → anonymize, obtain permission, or omit it.
  • One asset across many channels → preserve the idea, not the exact wording.
  • External source → attribute it and verify the link and date before publishing.
  • Unclear audience or CTA → resolve that before producing volume.
  • External publication or message → leave it in draft until approved; never report it as sent or published without evidence.

Handoff

Deliver the source asset, channel variants, approval checklist, scheduling state, source notes, tracking links or naming, and the next measurement date.

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