content-engine

Transform one idea into platform-native content across X, LinkedIn, TikTok, YouTube, and newsletters without cross-posting. Adapts source assets (articles, videos, demos, docs) into distinct platform variants with native hooks, pacing, and CTAs Covers five platforms with specific guidance: X (fast opens, one idea per post), LinkedIn (strong first lines, explicit lessons), short video (attention-grabbing first 3 seconds), YouTube (early results, visual refresh every 20-30 seconds), and newsletters (skimmable sections, working opening) Follows a repurposing flow: extract atomic ideas from anchor asset, write platform variants, trim repetition, align CTAs to platform intent Enforces quality gates: native reads per platform, strong specific hooks, no generic hype, no duplicate copy across platforms

INSTALLATION
npx skills add https://github.com/affaan-m/everything-claude-code --skill content-engine
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Content Engine

Build platform-native content without flattening the author's real voice into platform slop.

When to Activate

  • writing X posts or threads
  • drafting LinkedIn posts or launch updates
  • scripting short-form video or YouTube explainers
  • repurposing articles, podcasts, demos, docs, or internal notes into public content
  • building a launch sequence or ongoing content system around a product, insight, or narrative

Non-Negotiables

  • Start from source material, not generic post formulas.
  • Adapt the format for the platform, not the persona.
  • One post should carry one actual claim.
  • Specificity beats adjectives.
  • No engagement bait unless the user explicitly asks for it.

Source-First Workflow

Before drafting, identify the source set:

  • published articles
  • notes or internal memos
  • product demos
  • docs or changelogs
  • transcripts
  • screenshots
  • prior posts from the same author

If the user wants a specific voice, build a voice profile from real examples before writing.

Use brand-voice as the canonical workflow when voice consistency matters across more than one output.

Voice Handling

brand-voice is the canonical voice layer.

Run it first when:

  • there are multiple downstream outputs
  • the user explicitly cares about writing style
  • the content is launch, outreach, or reputation-sensitive

Reuse the resulting VOICE PROFILE here instead of rebuilding a second voice model.

If the user wants Affaan / ECC voice specifically, still treat brand-voice as the source of truth and feed it the best live or source-derived material available.

Hard Bans

Delete and rewrite any of these:

  • "In today's rapidly evolving landscape"
  • "game-changer", "revolutionary", "cutting-edge"
  • "here's why this matters" unless it is followed immediately by something concrete
  • ending with a LinkedIn-style question just to farm replies
  • forced casualness on LinkedIn
  • fake engagement padding that was not present in the source material

Platform Adaptation Rules

X

  • open with the strongest claim, artifact, or tension
  • keep the compression if the source voice is compressed
  • if writing a thread, each post must advance the argument
  • do not pad with context the audience does not need

LinkedIn

  • expand only enough for people outside the immediate niche to follow
  • do not turn it into a fake lesson post unless the source material actually is reflective
  • no corporate inspiration cadence
  • no praise-stacking, no "journey" filler

Short Video

  • script around the visual sequence and proof points
  • first seconds should show the result, problem, or punch
  • do not write narration that sounds better on paper than on screen

YouTube

  • show the result or tension early
  • organize by argument or progression, not filler sections
  • use chaptering only when it helps clarity

Newsletter

  • open with the point, conflict, or artifact
  • do not spend the first paragraph warming up
  • every section needs to add something new

Repurposing Flow

  • Pick the anchor asset.
  • Extract 3 to 7 atomic claims or scenes.
  • Rank them by sharpness, novelty, and proof.
  • Assign one strong idea per output.
  • Adapt structure for each platform.
  • Strip platform-shaped filler.
  • Run the quality gate.

Deliverables

When asked for a campaign, return:

  • a short voice profile if voice matching matters
  • the core angle
  • platform-native drafts
  • posting order only if it helps execution
  • gaps that must be filled before publishing

Quality Gate

Before delivering:

  • every draft sounds like the intended author, not the platform stereotype
  • every draft contains a real claim, proof point, or concrete observation
  • no generic hype language remains
  • no fake engagement bait remains
  • no duplicated copy across platforms unless requested
  • any CTA is earned and user-approved

Related Skills

  • brand-voice for source-derived voice profiles
  • crosspost for platform-specific distribution
  • x-api for sourcing recent posts and publishing approved X output
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