Video To Articles

Video → article (X / Medium / LinkedIn)

Turn a video into a publish-ready article or post: one deliverable pack (md + paste-ready html) plus one cover image, in the creator's voice, optimized for how each platform distributes content. Works for any video: build-along, how-to, product demo, opinion essay, talking-head, vlog. Derive every specific from the transcript in front of you. The rules below map to how the platform algorithms behave and how a real person's voice reads; understand the why and adapt, don't apply them as rote checkboxes.

Requirements & graceful degradation

Rendering the cover uses the Playwright MCP browser. If it isn't available, don't fail: deliver the finished cover.html plus one line of render instructions ("open in a browser at 1600×900 and screenshot"), and continue with the articles. The written deliverables never depend on rendering.

Workflow

Step 0 — Gather inputs (read, don't guess)

• Transcript: read it in full. Source of truth for content AND the creator's actual phrasings.

No transcript yet (just a video file)? Stop and ask for one, or point the user at a transcription tool/skill; never write from a summary or your memory of the video. Non-English transcript? Default to writing in the transcript's own language (that's the creator's audience); confirm the target language when it's ambiguous or the user hints at translating.

• Voice profile: read ~/.claude/voice-profile.md if it exists and match it. If it doesn't,

ask for 2-3 real posts, infer the voice, and offer to write the profile file for them (shape: assets/voice-profile-template.md) so every future run is zero-setup. If the profile has a ## Learned section, treat it as binding: it records what this creator actually accepted and rejected on past runs.

• Screenshots / frames (may not exist): if present, note what each shows; they become inline

figures. Essays/talking-heads often have none, and that's fine (see "No assets" below).

• Repo / link (may not exist): ask. If there isn't one, don't invent it.
• Destination platform(s): if the user didn't name one, ask which of X / Medium / LinkedIn

they want (one or several). Each named platform gets its own pack derived from the shared spine; naming more than one is what makes a run "multi-platform."

Step 1 — Confirm the real story (accuracy first)

Confirm the factual spine with the user, especially money, claims, outcomes. The most common failure is a punchier-but-false framing (e.g. "cut my monthly bill" when they were on free credits). A true hook beats a false one and protects the creator's credibility.

Step 2 — Find the video's shape, then pick the arc

Identify the archetype; structure around ITS centerpiece ("give the centerpiece the most room" is universal; which beat it is depends on the shape):

• build / debug: centerpiece = the wall + the exact fix.

hook → what/why → setup → wall + fix → proof → honest caveat → close.

• how-to / process: centerpiece = the method + the non-obvious step.

hook → the problem → the steps → the part people get wrong → result → close.

• opinion / essay (often no screenshots/repo): centerpiece = the argument + strongest evidence.

hook (the claim) → why it matters → the case → honest counter-argument → what to do → close.

• product / demo: centerpiece = the watch-it-work moment + who it's for.

hook → the problem → what it is → the demo/proof → limits → where to get it.

• interview / conversation / vlog (talking-head, podcast, rambling multi-topic): centerpiece =

the single strongest segment or throughline, not a full recap. hook → that segment → supporting beats → close. Pick the closest or blend. The example at the bottom is build/debug: one of five, not the template.

A long or multi-topic source (a 2-hour podcast, a wandering vlog) is not one article. Don't try to summarize the whole runtime. Confirm with the user which single thread to build around, and offer to split it into separate runs (one article each) rather than cramming every topic into one piece.

Step 3 — Story spine, then the title/hook taste gate

Deliverables live in a blog/ folder under the working directory (usually the video's project); create it if missing, and ask where to put it if the working directory is unclear. Write blog/story-spine.md first: ~15 lines holding the confirmed facts and true numbers, the archetype + centerpiece, and the three attention slots (cover payoff / title story / first-line angle). Every platform piece derives from the spine, so multi-platform runs never drift factually and nothing gets re-derived.

Then the taste gate: never ship your first title. Present 3-4 title + hook-line candidates, each a different hook type (number/result, time-saved, contrarian, transformation, curiosity gap), one line on why it works, and mark a recommendation. Let the creator pick (use a question tool when interactive). Record the winner in the spine. Medium-destination runs: the taste-gate winner becomes the SUBTITLE/hook, not the title. Present a keyword-first SEO title separately (or gate title+subtitle pairs), since Medium's title is SEO and the hook lives in the subtitle (see references/medium.md).

Step 4 — Write for the platform (read the matching reference)

• X (Twitter) → references/x.md (launch post + replies + article + checklist)
• Medium → references/medium.md (SEO title/subtitle, real code blocks, tags)
• LinkedIn → references/linkedin.md (native post ≫ Article; plain text)

Each reference carries its platform facts with an as-of date. Freshness rule: if a facts block is older than ~6 months, spot-check the key numbers with a web search before leaning on them.

Step 5 — Cover, then verify (see sections below).

Voice rules

The voice comes from the creator's profile (or the posts you inferred it from), never from this skill. Casing, energy, sentence shape, signature words, emoji palette, closers: all follow the profile, whatever it says. No profile and no posts? Write clean, plain sentence case and tell the creator the piece sharpens once they add one. Rules that hold in ANY voice:

• hook-first opener, never a greeting. "hi guys" burns the scroll-stop; the first line is the

pitch. Vocatives can appear later, just not as the first words.

• No em dashes (— or --): they read as an AI tell, so default to periods, commas, colons.

The one exception: a creator whose own profile uses them. The profile always wins.

• Keep the true rough edges. Real numbers, losses next to wins, the creator's actual phrasings

from the transcript. Sanded-smooth is how AI sounds; hard-won specifics are the hook.

• No AI slop: no "dive in / without further ado", no "it's not just X, it's Y", no rule-of-three

filler, no hype words, no 🚨, no "thread 🧵". Before finishing, re-read the body hunting exactly these tells plus uniform sentence rhythm and stacked adjectives; the format drifts toward them. (The avoid-ai-writing / humanizer skills automate this pass if installed; neither is required.)

Red flags — if you think this, stop

| thought | reality | |---|---| | "this number makes the hook punchier" | invented number = credibility debt. Step 1 exists for this | | "every video needs a struggle section" | that's 1 of 5 archetypes; essays/demos/talks have other centers | | "i'll open with a quick greeting" | greetings kill the scroll-stop on every platform | | "cover and title should say the same thing" | duplicated slots waste attention; split the labor | | "no screenshots, i'll describe some" | never fake assets; use the no-assets path | | "the reader can fix the formatting" | they can't easily; copy-paste fidelity is part of the job |

Copy-paste fidelity (the deliverable must paste clean)

• One paragraph = one line. Never hard-wrap prose inside a paragraph in any copyable block;

wrapped lines paste as literal newlines the user has to hand-repair. Wrapping is fine in scaffolding/comments only. Blank line between paragraphs. The verifier's wrap check is a heuristic (it covers space-less CJK/Thai prose too, but stays best-effort); on a non-English run, eyeball the payload once to confirm one paragraph per line before shipping.

• Ship a paste-ready .html twin next to the X and Medium markdown (e.g. x-article.html):

same text, real //// formatting, a small Copy button per section (select + document.execCommand('copy') copies rich text), and styled 📷 placeholder blocks where images go (they paste as visible blocks the user replaces with uploads). Pasting rich text into X/Medium/LinkedIn Article editors carries headings and bold, so the user never re-applies formatting by hand. execCommand('copy') is deprecated but still works from a file:// twin (the modern clipboard API needs HTTPS); if the button ever fails, the user can select the section by hand and copy, and the md remains the source of truth. LinkedIn feed posts are plain text: no html twin needed, the unwrapped md is enough.

• The md is the source of truth; keep the html's text identical to it.

No assets? (no screenshots / no repo)

• No screenshots (essays, talking-heads): don't fake them. Pull-quote callouts, one simple

generated diagram, or clean text-only. Emit [📷] markers only for images that exist.

• No repo/link: drop the link reply/comment/inline mention entirely.

The cover

LinkedIn-post-only run: skip the cover. Feed posts take the video's own screenshots (or nothing), not a rendered cover; render one only if the creator also wants the Article reuse (which uses the Medium cover). For X and Medium the cover is part of the pack.

Start from the topic and the creator's brand, not a fixed look. Editorial restraint always (whitespace, one idea, refined type, restrained palette, no clipart/neon/stock/3D). Most covers should be text-only (assets/cover-text-template.html, works light or dark; for photo-led covers, uncomment its built-in hero-photo layer). Use assets/cover-template.html only for a real A→B→C system diagram; assets/cover-medium-template.html for Medium's centered 1600×840. All templates retheme via CSS vars (--bg, --accent, --display; the two diagram templates also expose --glow* and default dark/pixel because they were built for a dev video). The text template defaults editorial/light. Pick per topic:

| video type | palette | type | imagery | |---|---|---|---| | dev / technical | dark, one accent | mono/pixel or geometric sans | logos or a config snippet | | product / SaaS | light or brand colour | geometric sans | a product/UI frame | | cooking / lifestyle | light, warm | editorial serif | one hero photo | | opinion / essay | high-contrast minimal | bold serif or grotesk | none (type-only) | | how-to / process | clean, calm | friendly sans | one hero frame or a simple step diagram |

Render per references/cover-render.md (localhost serve + Playwright at 1600×900; helper: scripts/render_cover.sh), save to blog/assets/_cover.png (e.g. x_cover.png, medium_cover.png; one per platform so a multi-platform run doesn't overwrite covers), then look at it: legible at ~540px, survives a 1.91:1 centre-crop. Show the user before finalizing.

Finish

• Run scripts/verify_article.py --platform x|medium|linkedin: checks em dashes, hard-wrapped

paragraphs in the ----/==== payload zones (a file with none fails; layout in references/x.md), launch-post length/linklessness (X), greeting openers, that every [📷]/[FIGURE:] marker resolves, that the html twin exists and matches the md (x/medium; pass --no-twin for an intentionally md-only run), Medium code fences balance, and the LinkedIn payload is plain text. Fix everything it flags; paste its output as evidence, don't claim from memory. (If the creator's profile legitimately uses em dashes, pass --allow-em-dash so that check doesn't hard-fail.)

• Keep the folder lean (deliverables + only the assets they reference; confirm before removing

files you didn't create). Cover verified by eye. Anti-AI-slop pass done.

• Bank the edits (with consent): if the creator changed or rejected anything in your draft,

append one dated line per lesson to ## Learned in ~/.claude/voice-profile.md (create the section if missing; skip duplicates). Next run reads it in Step 0, so every edit trains the skill.

• Offer three follow-ups: save a one-shot prompt for the next video; (if the run went well) add a

sanitized copy of the outputs to the repo's examples/; and a post-launch retro 24-48h after posting (see references/retro.md): collect the real numbers, log what the audience actually rewarded to ## Learned, so hook and archetype choices compound run over run.

Files

• references/x.md · medium.md · linkedin.md — per-platform pack layout + algorithm facts (as-of dated).
• references/cover-render.md — the localhost-serve + Playwright render flow; calls scripts/fetch_logo.sh.
• references/retro.md — the 24–48h post-launch retro that feeds ## Learned.
• scripts/verify_article.py — the mechanical gate (run at Finish); render_cover.sh + fetch_logo.sh — cover helpers.
• assets/cover-text-template.html (default) · cover-template.html (A→B→C diagram) · cover-medium-template.html (1600×840);

voice-profile-template.md — shape for a new profile; departure.woff2 (+ license) — pixel display font for dev covers.

• evals/, examples/ — runnable eval fixtures + sanitized output samples.

One example (build/debug archetype, for shape only)

Imagine a build video about self-hosting an analytics dashboard. Its pack's launch post leads with a time-saved hook ("Every guide for this skips the part that breaks. I burned 3 hours so you can do it in 10 minutes."), a story-first title, and a dark cover over a simple 3-node diagram. That's the build/debug shape: cost hook, wall-plus-fix centerpiece, system diagram. An essay, a cooking video, or a product demo would use a different arc, hook, and cover; the casing and tics would be whatever that creator's profile says. Derive everything from your own transcript; do not copy this shape.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: nidhi-singh02
• Source: nidhi-singh02/skills
• License: MIT

Install and usage instructions live in the source repository linked above.