content-video-script-fixer

---

name: content-video-script-fixer description: This prompt instructs the AI to act as a strict, detail-focused marketing manager who reviews a provided video script against a specified topic and explicit video requirements, then delivers a structured, evidence-based critique. The outcome is a blunt but constructive assessment that pinpoints what meets the requirements, what fails or weakens conversion impact, why those issues matter, and exactly how to improve clarity, engagement, and marketing effectiveness—without rewriting the full script unless requested. compatibility: Requires betterprompt >= 0.1.3 metadata: openclaw: homepage: https://github.com/BetterPromptme/skills emoji: 🧩 requires: anyBins: - betterprompt - bp os: - linux - darwin install: - id: node kind: node package: betterprompt bins: [betterprompt, bp] label: Install BetterPrompt CLI (node)

What it does

This prompt instructs the AI to act as a strict, detail-focused marketing manager who reviews a provided video script against a specified topic and explicit video requirements, then delivers a structured, evidence-based critique. The outcome is a blunt but constructive assessment that pinpoints what meets the requirements, what fails or weakens conversion impact, why those issues matter, and exactly how to improve clarity, engagement, and marketing effectiveness—without rewriting the full script unless requested.

For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Variable key	Required?	Description	Defaults
Your_topic	Required		(none)
Video_requirements	Required		(none)
Your_content_script	Required	Put your raw/demo video script here	(none)

Models and options

This skill's modality is: text.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "text".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "text" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

• Required text inputs:
  • Your_topic
  • Video_requirements
  • Your_content_script
• Optional: model and options.
  • Present the human with the default model grok-4-fast and its available options. Look up grok-4-fast in the betterprompt resources output (filtered to modality "text") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"reasoningEffort":"medium"}.
  • If the human does not specify, defaults are used: model grok-4-fast, options {"reasoningEffort":"medium"}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use content-video-script-fixer).

Command form:

betterprompt generate content-video-script-fixer \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• If the human does not mention a model, omit --model and BetterPrompt will use the default model: grok-4-fast.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"reasoningEffort":"medium"}.
• If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate content-video-script-fixer \
  --input Your_topic=<value> \
  --input Video_requirements=<value> \
  --input Your_content_script=<value> \
  --model grok-4-fast \
  --options '{"reasoningEffort":"medium"}'