/linkedin-launch-video

name: linkedin-launch-video
description: Produce a LinkedIn-native 1:1 (or 16:9) launch video using HyperFrames. Caption-first, sound-off, B2B register, anti-corporate-jargon. Optionally hand off to LinkedIn Ads to launch as a sponsored content campaign with ICP-aligned targeting.
version: "1.1.1"
author: Cogny AI
platforms: [linkedin-ads, linkedin-organic, x-organic, hyperframes]
user-invocable: true
argument-hint: "<product URL or short brief>"
allowed-tools:
  - WebFetch
  - WebSearch
  - Bash
  - Read
  - Write
  - Edit
  # Cogny MCP context tree — richer product context than public scraping
  - mcp__cogny__refresh_mcp_discovery
  - mcp__cogny__get_context_tree_overview
  - mcp__cogny__browse_context_tree
  - mcp__cogny__read_context_node
  - mcp__cogny__search_context
  # Optional handoff (read tools only; create/upload/post tools ask first)
  - mcp__cogny__list_integrations
  - mcp__cogny__mcp__LinkedIn_Ads__tool_list_ad_accounts
  - mcp__cogny__mcp__LinkedIn_Ads__tool_get_targeting_facets
  - mcp__cogny__mcp__LinkedIn_Ads__tool_search_targeting_entities
  - mcp__cogny__mcp__LinkedIn_Ads__tool_get_audience_counts
  - mcp__cogny__mcp__LinkedIn_Organic__tool_list_organizations
  - mcp__cogny__mcp__LinkedIn_Organic__tool_get_organization_posts
  - mcp__cogny__mcp__LinkedIn_Organic__tool_get_post_statistics

LinkedIn Launch Video

Produce a LinkedIn-native launch video using [HyperFrames](https://hyperframes.heygen.com).

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

node --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:

1. Who is this for, by **role and seniority**? ("Heads of Demand Gen at B2B SaaS, $5–50M ARR") 2. What is the *expensive* problem they have right now? (cost, time, headcount) 3. What's the proof point — a customer name, a metric, a screenshot, a benchmark? 4. Who is the on-screen voice? (Founder? Operator? Customer? No-face / text-only is also valid on LinkedIn.) 5. 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`](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 do