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Movie Review

这是纯Shell编写的命令行影评工具，无需额外依赖，适用于Linux和macOS。核心功能涵盖影评创作（撰写、编辑、搭大纲）、内容优化（SEO、生成话题标签/钩子/号召语）、格式转换（翻译、调语气）及本地数据管理（搜索、导出、统计）。典型场景包括撰写打磨影评、制作社交影评内容、规划影评系列、优化传播效果、管理影评作品集，通过命令行传参操作，输出对应内容或结构化数据，数据本地持久化，支持多格式导出。

bytesagain3
bytesagain3
热度 71.75
最近更新 2026-05-11 17:31:05
分类：创作依赖：纯提示词应用场景：文案创作 / 社交媒体 / 翻译 / 报告撰写 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add movie-review
Metadata
version
2.0.0
name
movie-review
description
Write film reviews, get recommendations, and manage watchlists with spoiler control. Use when drafting reviews, getting recs, comparing films side by side.
author
BytesAgain
homepage
https://bytesagain.com
source
https://github.com/bytesagain/ai-skills

Movie Review

A content toolkit for movie reviews. Draft reviews, edit text, optimize for SEO, schedule posts, generate hashtags, create hooks, write CTAs, rewrite content, translate, adjust tone, craft headlines, and build outlines — all from the command line with persistent local storage.

Commands

Content Creation

Command Description Usage
draft Draft a new movie review or content piece movie-review draft <text>
edit Edit and refine existing review text movie-review edit <text>
rewrite Rewrite content with a fresh perspective movie-review rewrite <text>
outline Build a structured outline for a review movie-review outline <text>
headline Craft compelling headlines for reviews movie-review headline <text>

Optimization & Publishing

Command Description Usage
optimize Optimize content for readability and SEO movie-review optimize <text>
schedule Schedule review content for publishing movie-review schedule <text>
hashtags Generate relevant hashtags for social media movie-review hashtags <text>
hooks Create attention-grabbing opening hooks movie-review hooks <text>
cta Write call-to-action lines for engagement movie-review cta <text>

Content Transformation

Command Description Usage
translate Translate review content to other languages movie-review translate <text>
tone Adjust the tone of writing (formal, casual, etc.) movie-review tone <text>

Data & Management

Command Description Usage
stats Show summary statistics across all entries movie-review stats
export <fmt> Export data in json, csv, or txt format movie-review export json
search <term> Search across all stored entries movie-review search "Nolan"
recent Show the 20 most recent activity entries movie-review recent
status Health check — version, disk usage, last activity movie-review status
help Show the built-in help message movie-review help
version Print the current version (v2.0.0) movie-review version

Each content command (draft, edit, optimize, etc.) works in two modes:

  • Without arguments — displays the most recent 20 entries from that command's log
  • With arguments — saves the input with a timestamp and logs it to history

Data Storage

All data is stored locally in ~/.local/share/movie-review/:

  • Each command writes to its own log file (e.g., draft.log, edit.log, hashtags.log)
  • A unified history.log tracks all activity across commands
  • Entries are timestamped in YYYY-MM-DD HH:MM|<content> format
  • Export supports JSON, CSV, and plain text formats

Requirements

  • Bash (any modern version)
  • No external dependencies — pure shell script
  • Works on Linux and macOS

When to Use

  1. Drafting a movie review — use draft to capture your initial thoughts, then edit and rewrite to polish
  2. Preparing social media posts — use hashtags, hooks, and cta to create engaging content around your review
  3. Planning a review series — use outline to structure your content and schedule to plan publishing dates
  4. Optimizing for reach — use optimize for SEO, headline for click-worthy titles, and tone to match your audience
  5. Tracking your review portfolio — use stats to see totals, recent for latest activity, and export to back up everything

Examples

# Draft a new review
movie-review draft "Inception (2010) - Nolan's masterpiece of layered storytelling"

# Generate hashtags for social media
movie-review hashtags "Inception review sci-fi thriller Christopher Nolan"

# Create an attention-grabbing hook
movie-review hooks "What if the greatest heist movie ever made took place inside your mind?"

# Write a call-to-action
movie-review cta "Share your favorite Nolan film in the comments"

# Export all data as JSON
movie-review export json

# Search for all entries mentioning a director
movie-review search "Nolan"

# Check overall statistics
movie-review stats

Output

All content commands print a confirmation with the saved entry and a running total count. Data management commands (stats, status, export) output structured summaries. Use export json for machine-readable output.

Configuration

Set DATA_DIR by editing the script or symlinking ~/.local/share/movie-review/ to your preferred location.

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