Agent skill · Code Review & Quality

video-outreach

When the user wants to build video-first cold outreach, create personalized video at scale, implement async selling, or use AI demo generation for prospecting. Also use when the user mentions 'video outreach,' 'personalized video,' 'video prospecting,' 'Tavus,' 'Sendspark,' 'HeyGen,' 'video email,' 'async selling,' 'video demo,' or 'made this for you.' This skill covers video-first outreach systems from personalization through conversion optimization. Do NOT use for technical implementation, code review, or software architecture.

tech-leads-clubgithub.com/tech-leads-clubGitHub ↗
claude-codecopilotcursorNOASSERTION
Install
npx skills add tech-leads-club/agent-skills --skill video-outreach --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 26 KB
Bundled scripts: none
Version: 1.0.0
Path: packages/skills-catalog/skills/(gtm)/video-outreach/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 4,983
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

The skill positions the agent as an expert in video-first sales outreach, AI video personalization at scale, async selling, and interactive demo-led prospecting. It emphasizes building systems that use personalized video to drive pipeline and focuses on outreach through video deliverables rather than live demos.

How it works

  • It begins by gathering context about the prospecting effort and target deployment (outreach volume, buyer persona, tech stack, current video practice, primary goal, and budget).
  • It follows the Made This For You framework: research the prospect, create a sample AI-driven deliverable, record a concise walkthrough, and deliver via email plus LinkedIn.
  • It prescribes creating a 60-90 second walkthrough that showcases the deliverable and highlights 2-3 key findings, followed by a soft CTA.
  • It defines scaling guidance by volume: batch-record similar videos, use AI tools to personalize initial seconds, and build reusable templates.
  • It provides a platform and tool landscape for personalization (Tavus, Sendspark, HeyGen, Potion, Loom) and describes when to choose each tool based on volume, face presence, and speed needs.
  • It covers the sequence architecture for videos in the sales sequence (Day 1 cold outreach, Day 3 follow-up, Day 5 LinkedIn/voice, Day 8 interactive demo, etc.) and details the types of videos by stage (cold outreach, post-connection, pre-demo async, post-demo recap, proposal walkthrough, breakup).

When to use it

Use when the user is pursuing video-first outreach, personalized video at scale, or async selling, and when signals involve video outreach terms or related platforms. Not for technical implementation, code review, or software architecture.

What it can touch

Tooling and platforms are named explicitly for video outreach and async selling (e.g., Tavus, Sendspark, HeyGen, Potion, Loom), with guidance on their appropriate use cases and integration context with CRM/sequencers.

Caveats

The skill content centers on outreach design and strategy; it does not claim guaranteed outcomes. It provides framework expectations and tool recommendations but avoids asserting results beyond described capabilities (e.g., watch time tracking, response improvements) as part of the guidance.

From the SKILL.md

# Video-First Cold Outreach You are an expert in video-first sales outreach, AI video personalization at scale, async selling, and interactive demo-led prospecting. You help founders, sales teams, and GTM operators build systems that use personalized video to cut through inbox noise and drive pipeline. ## Before Starting Ask about: 1. Current outreach volume (videos per week/month) 2. Target buyer persona and deal size (SMB vs mid-market vs enterprise) 3. Existing tech stack (CRM, email sequencer, video tools) 4. Whether the team records video today or is starting from scratch 5. Primary goal: book meetings, accelerate deals, or replace live demos 6. Budget range for video tooling ($0-50/mo, $50-200/mo, $200-500/mo, $500+/mo) ## The "Made This For You" Framework The highest-converting cold outreach pattern in 2025-2026 is not a pitch video. It is a sample deliverable recorded on video. You research the prospect, create something useful with AI, then walk them through it on camera. ### The Four-Step Process **Step 1: Research the prospect (5-10 minutes)** - Pull their website, LinkedIn profile, product page, and recent posts - Identify one specific, visible problem you can solve - N

What's inside
Steps it walks through
  1. Before Starting
  2. The "Made This For You" Framework
  3. The Four-Step Process
  4. Scaling by Deal Size
  5. Personalized Video at Scale: The Tool Landscape
  6. Platform Comparison
  7. Decision Framework
  8. Tavus
  9. Sendspark
  10. HeyGen
  11. Potion (SendPotion)
  12. Loom
  13. Interactive Demo Tools for Async Selling
  14. Navattic vs Supademo
More from agent-skills
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About this skill
What does the video-outreach skill do?

When the user wants to build video-first cold outreach, create personalized video at scale, implement async selling, or use AI demo generation for prospecting. Also use when the user mentions 'video outreach,' 'personalized video,' 'video prospecting,' 'Tavus,' 'Sendspark,' 'HeyGen,' 'video email,' 'async selling,' 'video demo,' or 'made this for you.' This skill covers video-first outreach systems from personalization through conversion optimization. Do NOT use for technical implementation, code review, or software architecture.

How do I install it?

Run `npx skills add tech-leads-club/agent-skills --skill video-outreach --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From tech-leads-club/agent-skills, a repository with 4,983 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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