Hit Preview EN

Analyzes English short video scripts for TikTok, YouTube Shorts, and Instagram Reels to predict hit potential and suggest improvements with AI or local fallb...

Mak@makclaw

Install

openclaw skills install @makclaw/hit-preview-en

Hit Preview v1.0.0 — English Edition

📊 Report Format (4 Modules)

1. Hook Analysis

Visual Impact score + analysis
Conflict Clarity score + analysis
Emotional Tension score + analysis
Memorable Design score + analysis
Specific improvement suggestions (3-5 items)

2. Cliffhanger Design

Suspense Strength score + analysis
Continuation Desire score + analysis
Emotional Resonance score + analysis
Visual Metaphor score + analysis
Improvement suggestions (3-5 items)

3. Hit Potential Prediction

Retention Rate prediction (0-100%)
Completion Rate prediction (0-100%)
Share Rate prediction (0-100%)
Engagement Density score (0-10)
Overall Score (0-100) + Grade (S/A/B/C/D)
Platform-specific optimization tips

4. Platform Adaptation Suggestions

Title optimization tips
Tag strategy recommendations
Posting time suggestions
Engagement design ideas

Footer (every report)

text

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🚀 Want a full 12-dimension analysis with fix priorities and data predictions? Try the web version for free: https://hit-preview.com

🚀 Highlights

✅ Auto AI — Zero Config

Reads OpenClaw config automatically (env vars (DEEPSEEK_API_KEY, etc.))
Uses your current AI model (DeepSeek / OpenAI / Anthropic / Google)
No .env file needed — just run it

✅ Smart Fallback

AI unavailable? Falls back to local analysis engine
API key missing? No problem, still works
Network down? Local engine handles it
Always usable — never leaves you without a report

✅ Works Everywhere

Node.js >= 18 — no npm install, no build step
Single file — one bundle, everything included
Pre-built — download and run immediately

🛠️ Usage

In OpenClaw

text

@Tianshu Analyze this script with Hit Preview EN: [Paste script]

As CLI

bash

# Test AI connection
./run-hit-preview-en.sh test

# Analyze a script
./run-hit-preview-en.sh analyze -f script.txt -p tiktok

# Direct (no script):
node bundle-en.js analyze -f script.txt -p tiktok

Supported platforms: tiktok, youtube, snapchat (default: tiktok)

📋 Requirements

Runtime: Node.js >= 18
AI analysis (optional, auto-detected): OpenClaw config
No install: no npm install, no TypeScript compilation, no build step

⚙️ How It Works

Auto-detect: Reads env vars for AI config (~/.openclaw/openclaw.json)
AI mode: Uses your configured model for full-depth analysis
Fallback: If AI fails (no config, bad key, network), falls back to local algorithm
Report: Always outputs the standard 4-module English report

🔧 Configuring OpenClaw for AI

If you haven't set up OpenClaw yet, create ~/.openclaw/openclaw.json:

json

{
  "default_provider": "deepseek",
  "providers": {
    "deepseek": {
      "apiKey": "sk-your-key-here",
      "model": "deepseek-chat"
    }
  }
}

Or set environment variables: