show-and-tell-video-slate

Rank authorized builds into proof-led 15-minute YouTube episode slates with validated packaging.

3.5k|678|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/ericosiu/ai-marketing-skills --skill show-and-tell-video-slate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: show-and-tell-video-slate
Source: https://github.com/ericosiu/ai-marketing-skills/tree/main/show-and-tell-video-slate
Command: npx skills add https://github.com/ericosiu/ai-marketing-skills --skill show-and-tell-video-slate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Creators and founders struggle to decide which of their real builds, workflows, and results are worth filming, and often produce videos whose packaging overpromises what the content delivers. This Skill turns authorized first-party work into a ranked slate of 15-minute show-and-tell episodes with exact run-of-show plans and title-thumbnail packages that must pass explicit quality gates.

Core Features & Use Cases

  • Evidence Inventory and Gating: Catalogs filmable artifacts with claim status (achieved, estimate, forecast, plan) and rejects candidates that cannot show a real outcome in the first 30 seconds.
  • Exact 15-Minute Run of Show: Builds a 900-second episode spine from opening promise through demonstration, receipts, and implementation path.
  • Deterministic Validation: Ships a Python standard-library validator that checks runtime, segment contiguity, panel score floors (90+ average, Demoability and Payoff Integrity at 90+), three packaging lanes, thumbnail word counts, and proof pointers for achieved claims.
  • Use Case: A founder with several recent automation builds runs the skill to select the three strongest episodes, gets combination decisions for thin ideas, three title-thumbnail packages per episode, and a shoot order before booking any recording time.

Quick Start

Use $show-and-tell-video-slate on my authorized builds and analytics to select the strongest three 15-minute episodes, list the evidence I need to capture, and create three title-thumbnail packages for each.

Frequently Asked Questions about show-and-tell-video-slate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decide which builds to turn into YouTube videos?

Inventory each candidate's visible artifact, claim status, proof pointer, and viewer outcome, then score it across nine lenses including Demoability and Payoff Integrity. Episodes need a 90+ panel average and a real outcome showable in the first 30 seconds.

How do I validate a video slate JSON file?

Run python3 scripts/evaluate_slate.py slate.json --output slate-eval.json, or add --validate-only to check without writing a report. The validator uses only the Python standard library and checks runtime, segments, scores, packaging lanes, and proof pointers.

What are the title and thumbnail requirements for each episode package?

Each episode needs exactly three packages: one verdict, one proof, and one utility. Thumbnail copy is limited to zero to four words, at most three major visual groups, and a weighted score of at least 9.0 with no dimension below 8.5.

Does this skill record, edit, or publish videos?

No. It only plans and evaluates slates. It does not render, upload, publish, schedule, or modify any live video asset without explicit approval.

What happens when an episode idea is too thin for 15 minutes?

Thin ideas are combined only when they share one mechanism, viewer, and payoff, such as multiple cost controls inside one audit system. Otherwise they are routed to shorter formats rather than padded to reach the runtime.

Can I use private dashboards or customer data as episode evidence?

Only authorized source material may be used, and raw conversations, customer data, credentials, and proof artifacts must stay outside the repository. Sensitive information must be redacted before showing a screen or publishing a case study.