LinkedIn Launch Video
Produce a LinkedIn-native launch video using HyperFrames.
LinkedIn's autoplay is muted, the feed is scrolled in 2-second chunks, and the audience is allergic to either extreme — too corporate (sounds like a 2010 SaaS press release) or too TikTok (looks unprofessional in front of buyers). This skill targets the middle: caption-driven, conversational founder/operator voice, real numbers, no jargon.
Usage
/linkedin-launch-video https://example.com/launch — pulls context from a launch page
/linkedin-launch-video "we're shipping inbound CRM scoring for B2B sales teams" — short brief
/linkedin-launch-video — interview the user
Works with
Making the video needs no accounts. Publishing is optional, and every publish call asks first.
| Job | Primary | Also answers it | What differs |
|---|---|---|---|
| Run as sponsored content | LinkedIn Ads | — | Created PAUSED; the creative is a DRAFT until the user activates it |
| Post organically | LinkedIn Organic (company Page) | X Organic | Personal profiles still out-reach Pages; X takes the same MP4 (≤ 512 MB) |
| What past video posts did (optional) | LinkedIn Organic tool_get_organization_posts + tool_get_post_statistics | — | Use to pick length and hook style before scripting |
Prerequisites
bashnode --version # ≥ 22 ffmpeg -version | head -1 # ≥ 6
Steps
1. Gather product context AND ICP context
LinkedIn videos die when the audience is "everyone". They work when the first frame names the role.
Try sources in order:
1a. Local file — .agents/product-marketing-context.md or .claude/product-marketing-context.md.
1b. Cogny MCP context tree — if the cogny MCP server is connected:
mcp__cogny__get_context_tree_overview mcp__cogny__search_context query="ICP" / query="<product>" mcp__cogny__read_context_node node_id="…"
The tree usually contains the actual ICP definition (role, seniority, industry, ARR band) and the most-recent shipped feature — both load-bearing for LinkedIn-grade specificity. Check it before public scraping.
1c. Public web — WebFetch the URL only if 1a/1b are empty.
Then ask:
- Who is this for, by role and seniority? ("Heads of Demand Gen at B2B SaaS, $5–50M ARR")
- What is the expensive problem they have right now? (cost, time, headcount)
- What's the proof point — a customer name, a metric, a screenshot, a benchmark?
- Who is the on-screen voice? (Founder? Operator? Customer? No-face / text-only is also valid on LinkedIn.)
- What's the conversion goal? (Signup, demo, follow, comment, reshare)
If the role / proof / goal are vague, push back before writing. LinkedIn ROI lives or dies on these three.
1.5 Capture brand identity
Make this look like the user's brand. LinkedIn's audience is buyers — generic stock styling reads as "untrusted vendor".
Ask for one of: site URL, repo path with tailwind.config.* / CSS variables, an existing brand-kit.json, or manual input (3 hex + font + voice). Save the result as brand-kit.json in the HyperFrames project root.
For full schema, extraction patterns, and voice → composition mapping see references/brand-identity.md.
LinkedIn-specific brand notes:
- Avoid LinkedIn blue (#0a66c2) as the brand accent — it merges with the platform UI and the video reads as a chrome screenshot.
- Avoid the same accent the platform overlays use — LinkedIn places white profile names with drop shadow on the top-15%; ensure your accent reads under that.
- Display fonts are fine here (unlike Reddit) — LinkedIn is the channel where serif headlines and editorial typography land best.
The composition template reads --bg, --fg, --primary, --accent, --font-display as CSS variables — wire them from your kit and the template's structure stays.
2. Pick the format
LinkedIn-idiomatic video formats that work in 2025–2026:
| Format | When to use | Structure |
|---|---|---|
| Founder-to-camera | Authentic launches | Founder face + burned-in captions; explain the why, the how, the proof |
| Numbers carousel | Data-led launches | Stat → context → stat → context → stat → "want the breakdown? comment X" |
| Customer quote | Mid/late-stage social proof | Real screenshot of customer message → product clip → CTA |
| "Here's what we shipped" | Feature releases | Plain title → 3 short clips with captions → release-notes-style CTA |
| Anti-pattern teardown | Thought leadership / category creation | "Most teams do X. It doesn't work because Y. Here's what we built instead." |
Pick one. Confirm with the user.
3. Write the script (LinkedIn grammar)
- Total length: 30–75 seconds. The sweet spot is 45s. Anything over 90s gets clipped.
- Hook (0–3s): name the role, name the problem. "If you run paid for a B2B SaaS, this 30-second clip is for you."
- Captions are the script. LinkedIn auto-captions exist but are sloppy — burn your own in, max 8 words per card, sentence case, no all-caps.
- No music, or extremely subtle ambient. Voiceover optional but captions are the source of truth.
- No "thrilled to announce", no "game-changer", no "next-generation". Read it out loud — if it sounds like a press release, rewrite.
- Concrete CTA: "Comment WAITLIST", "Tap the link to try it", "DM me 'demo'", or "Follow [name] for more". "Learn more" is dead.
Hand the beat sheet back. Wait for confirmation.
4. Scaffold the HyperFrames project
bashnpx -y hyperframes@latest init <product-slug>-linkedin --non-interactive --resolution square cd <product-slug>-linkedin
Use --resolution landscape instead for the 16:9 variant (step 5). There is no --yes flag; --non-interactive is what disables the prompts.
5. Compose the video (1:1 default, 16:9 alternative)
LinkedIn's feed is dominated by square (1:1). 16:9 plays but takes ~25% less vertical space, hurting scroll-stop rate. 9:16 is supported but rarely the right call unless the asset will be repurposed for IG Reels later.
Default to 1080×1080 (1:1). Use 1920×1080 (16:9) only if the user is also embedding on a website / running in YouTube pre-roll.
Reference composition: see references/composition-template.html.
LinkedIn-specific styling rules:
- Type: 56–84px. Bigger than Reddit (because of LinkedIn's tighter line-height in feed), smaller than TikTok.
- Color: a single brand accent over white or off-white. Avoid LinkedIn-blue itself — feels like the platform UI bled in. Black/white with one warm accent reads as confident and not-stock.
- Motion: deliberate. 0.4–0.6s tweens, no bounce, no flashy easing. Buyers read this as "competent".
- Caption block: pin captions to the bottom 25% with a faint scrim if there's any background imagery. Top 15% should remain clean — that's where LinkedIn overlays profile name on autoplay previews.
- Numbers > adjectives: every claim needs a number. If you can't put a number on a card, cut the card.
6. Lint & render
Check dependencies first:
bashnpx hyperframes doctor
If it reports FFmpeg missing, stop before rendering and tell the user to install it (brew install ffmpeg on macOS, sudo apt install ffmpeg on Debian/Ubuntu). Meanwhile, npx hyperframes snapshot captures key frames as PNGs without FFmpeg, so they can review the cards.
bashnpx hyperframes lint npx hyperframes render --output launch.mp4
7. Sanity check
- First card names the role or the problem within 3 seconds?
- Every claim has a number?
- Captions readable on a phone with sound off?
- No buzzwords (excited, thrilled, revolutionary, game-changing, leverage, synergy, unlock, supercharge, next-gen)?
- Length 30–75s?
If any check fails, edit and re-render.
8. (Optional) Hand off to LinkedIn Ads
If the user wants to run this as paid sponsored content, LinkedIn's edge is B2B targeting precision. Use it.
The MCP needs the video at a public URL. On Cloud, call mcp__cogny__mcp__cogny-image-gen__tool_request_upload_url and run the returned curl to get a public_url (asks first); otherwise ask the user for a hosted link. Then, after the user approves each write:
mcp__cogny__mcp__LinkedIn_Ads__tool_list_ad_accounts # note the currency mcp__cogny__mcp__LinkedIn_Ads__tool_search_targeting_entities(facet_urn: "urn:li:adTargetingFacet:industries", query: "<industry>") mcp__cogny__mcp__LinkedIn_Ads__tool_get_audience_counts(ad_account_id, targeting_criteria: {...}) # confirm reach before launch mcp__cogny__mcp__LinkedIn_Ads__tool_create_campaign_group(ad_account_id, name, status: "PAUSED") mcp__cogny__mcp__LinkedIn_Ads__tool_create_campaign( ad_account_id, campaign_group_id, name, objective_type: "VIDEO_VIEW" | "WEBSITE_VISIT" | "LEAD_GENERATION", daily_budget_amount: "<amount the user stated>", daily_budget_currency: "<account currency>", targeting_criteria: {...}, status: "PAUSED" ) mcp__cogny__mcp__LinkedIn_Ads__tool_upload_video(ad_account_id, video_url: "<public MP4 URL, ≤ 200 MB>", owner_urn: "urn:li:organization:<page id>") mcp__cogny__mcp__LinkedIn_Ads__tool_create_creative( ad_account_id, campaign_id, author_organization_urn: "urn:li:organization:<page id>", commentary, image_urn: "<urn:li:video:… from upload_video>", destination_url, call_to_action_type, status: "DRAFT" )
Notes:
- Campaign group and campaign are
PAUSED; the creative isDRAFT(LinkedIn can't create creatives paused). The user activates manually after reviewing. - Budget amounts are strings in the account's currency ("100.00" = $100).
- Use
get_audience_countsbeforecreate_campaign— LinkedIn won't let an audience smaller than 300 ship. - For LEAD_GENERATION, you need a Lead Gen Form ID — that's not creatable via this MCP, so create it in Campaign Manager first.
If the user has run /crm-icp-analysis and /linkedin-micro-campaigns, this skill completes the loop by producing the actual creative those targeted campaigns will run.
For organic posting: hand the user launch.mp4 and recommend posting from a personal profile (or both personal + company page). Personal-profile organic reach on LinkedIn beats company-page reach by roughly 5–10x.
If LinkedIn Organic is connected, offer to post or schedule it on the company Page (asks first, needs the public URL): mcp__cogny__mcp__LinkedIn_Organic__tool_schedule_post(scheduled_for, text, author: "<org URN from tool_list_organizations>", video_url, video_title), or tool_create_post with the same fields to post now. If X Organic is connected, offer mcp__cogny__mcp__X_Organic__tool_upload_media(file_url) then tool_create_post(text, media_ids) (posts publicly at once, so confirm the text first).
Output format
When you finish, print:
- Path to the rendered MP4
- The beat sheet
- The format chosen and why it fits the ICP
- (If applicable) the LinkedIn Ads campaign group / campaign (PAUSED) and creative (DRAFT) IDs, plus the audience size estimate
- (If applicable) the scheduled or published organic post IDs
Common mistakes
- Corporate intro — "At [Company], we believe…". Cut it. Open with the role/problem.
- No number on the proof card — abstract claims ("better", "faster") are filtered out. Buyers want numbers.
- TikTok-style frenzy — fast cuts and kinetic text read as junior on LinkedIn. Slow down.
- Buzzword bingo — "leverage", "unlock", "revolutionary", "game-changer". Buyers ignore videos with this language.
- Generic CTA — "Learn more" is dead. Use "Comment X", "DM me", "Tap link".
- Ignoring the muted-autoplay reality — assume zero sound. Captions or it's invisible.
Related
/tiktok-launch-video— same pattern for TikTok/reddit-launch-video— same pattern for Reddit/video-to-gif— convert MP4 to a feed-ready GIF (LinkedIn comments don't render GIFs, but DMs do)/linkedin-micro-campaigns— pair the video with ICP-targeted campaigns/linkedin-ads-audit— diagnose existing LinkedIn campaigns before launching new creative


