openclaw-virality-cheatbook-writer

Generate versioned, evidence-linked short-form video growth playbooks from experiment results.

1|Updated Sep 3, 2026
One-click install
npx skills add https://github.com/sabiscore/the-yap-engine --skill openclaw-virality-cheatbook-writer-sabiscore
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-virality-cheatbook-writer
Source: https://github.com/sabiscore/the-yap-engine/tree/main/.agents/skills/openclaw-virality-cheatbook-writer
Command: npx skills add https://github.com/sabiscore/the-yap-engine --skill openclaw-virality-cheatbook-writer-sabiscore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Short-form creators often repeat viral-growth advice without knowing which patterns are actually measured, which come from external sources, and which are untested guesses. This Skill turns experiment outcomes into reusable, versioned playbooks with explicit provenance so teams stop treating hypotheses as facts. ## Core Features & Use Cases - Structured Playbook Generation: Produces a 16-section playbook covering hook patterns, first-3-second guidance, pacing maps, retention mechanisms, caption grammar, and A/B test matrices. - Evidence Provenance Policy: Tags every recommendation as measured in Yap Engine experiments, supported by a cited external source, or an explicit hypothesis requiring testing. - Versioned Changelogs: Increments the playbook version and records the reason for every material change, producing Markdown suitable for version control plus a compact experiment backlog. - Use Case: After running a month of TikTok hook experiments, use this Skill to compare outcomes, extract reusable patterns, and draft a v2 playbook with an adversarial consistency check before publishing it to the team. ## Quick Start Use the virality cheatbook writer skill to draft a versioned TikTok growth playbook from my recent experiment results, marking every recommendation as measured, cited, or hypothesis.

Frequently Asked Questions about openclaw-virality-cheatbook-writer

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

FAQPage Schema
How do I create a TikTok growth playbook from experiment data?▼

Feed recent experiment outcomes into the Skill, which compares results, extracts reusable patterns, and drafts a 16-section playbook covering hooks, pacing, retention, and captions. It then runs an adversarial consistency check and increments the version with a changelog entry.

What sections does a short-form video playbook need?▼

The Skill requires 16 sections including metadata, audience and platform, content archetype, hook patterns, first-3-second guidance, pacing map, retention mechanisms, visual and caption grammar, sound guidance, engagement prompts, A/B test matrix, failure patterns, evidence, confidence, and changelog.

How are recommendations labeled for evidence and provenance?▼

Every recommendation is tagged as measured in Yap Engine experiments, supported by a cited external source, or an explicit hypothesis requiring testing. The Skill never converts a hypothesis into a fact and never promises virality.

Can this playbook guarantee a video will go viral?▼

No. The Skill explicitly avoids promising virality because platform outcomes are not deterministic. It documents confidence and uncertainty levels and frames untested ideas as hypotheses that require experimentation.

What output format does the playbook writer produce?▼

It produces Markdown suitable for version control, with an incremented version number and a recorded reason for every material change. It also outputs a compact experiment backlog listing hypotheses that still need testing.