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daymade/claude-code-skills

This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.

claude-code-skills 是什麼?

claude-code-skills is a Claude Code agent skill that this skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.

相容平台✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/daymade/claude-code-skills/tree/HEAD/video-comparer

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說明文件

Video Comparer

Overview

Compare two videos and generate an interactive HTML report analyzing compression results. The script extracts video metadata, calculates quality metrics (PSNR, SSIM), and creates frame-by-frame visual comparisons with three viewing modes: slider, side-by-side, and grid.

When to Use This Skill

Use this skill when:

  • Comparing original and compressed videos
  • Analyzing video compression quality and efficiency
  • Evaluating codec performance or bitrate reduction impact
  • Users mention "compare videos", "video quality", "compression analysis", or "before/after compression"

Core Usage

Basic Command

python3 scripts/compare.py original.mp4 compressed.mp4

Generates comparison.html with:

  • Video parameters (codec, resolution, bitrate, duration, file size)
  • Quality metrics (PSNR, SSIM, size/bitrate reduction percentages)
  • Frame-by-frame comparison (default: frames at 5s intervals)

Command Options

# Custom output file
python3 scripts/compare.py original.mp4 compressed.mp4 -o report.html

# Custom frame interval (larger = fewer frames, faster processing)
python3 scripts/compare.py original.mp4 compressed.mp4 --interval 10

# Batch comparison
for original in originals/*.mp4; do
    compressed="compressed/$(basename "$original")"
    output="reports/$(basename "$original" .mp4).html"
    python3 scripts/compare.py "$original" "$compressed" -o "$output"
done

Requirements

System Dependencies

FFmpeg and FFprobe (required for video analysis and frame extraction):

# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt update && sudo apt install ffmpeg

# Windows
# Download from https://ffmpeg.org/download.html
# Or use: winget install ffmpeg

Python 3.8+ (uses type hints, f-strings, pathlib)

Video Specifications

  • Supported formats: .mp4 (recommended), .mov, .avi, .mkv, .webm
  • File size limit: 500MB per video (configurable)
  • Processing time: ~1-2 minutes for typical videos; varies by duration and frame interval

Script Behavior

Automatic Validation

The script automatically validates:

  • FFmpeg/FFprobe installation and availability
  • File existence, extensions, and size limits
  • Path security (prevents directory traversal)

Clear error messages with resolution guidance appear when validation fails.

Quality Metrics

The script calculates two standard quality metrics:

PSNR (Peak Signal-to-Noise Ratio): Pixel-level similarity measurement (20-50 dB scale, higher is better)

SSIM (Structural Similarity Index): Perceptual similarity measurement (0.0-1.0 scale, higher is better)

For detailed interpretation scales and quality thresholds, consult references/video_metrics.md.

Frame Extraction

The script extracts frames at specified intervals (default: 5 seconds), scales them to consistent height (800px) for comparison, and embeds them as base64 data URLs in self-contained HTML. Temporary files are automatically cleaned after processing.

Output Report

The generated HTML report includes:

  • Slider Mode: Drag to reveal original vs compressed (default)
  • Side-by-Side Mode: Simultaneous display for direct comparison
  • Grid Mode: Compact 2-column layout
  • Zoom Controls: 50%-200% magnification
  • Self-contained format (no server required, works offline)

Important Implementation Details

Security

The script implements:

  • Path validation (absolute paths, prevents directory traversal)
  • Command injection prevention (no shell=True, validated arguments)
  • Resource limits (file size, timeouts)
  • Custom exceptions: ValidationError, FFmpegError, VideoComparisonError

Common Error Scenarios

"FFmpeg not found": Install FFmpeg via platform package manager (see Requirements section)

"File too large": Compress videos before comparison, or adjust MAX_FILE_SIZE_MB in scripts/compare.py

"Operation timed out": Increase FFMPEG_TIMEOUT constant or use larger --interval value (processes fewer frames)

"Frame count mismatch": Videos have different durations/frame rates; script auto-truncates to minimum frame count and shows warning

Configuration

The script includes adjustable constants for file size limits, timeouts, frame dimensions, and extraction intervals. To customize behavior, edit the constants at the top of scripts/compare.py. For detailed configuration options and their impacts, consult references/configuration.md.

Reference Materials

Consult these files for detailed information:

  • references/video_metrics.md: Quality metrics interpretation (PSNR/SSIM scales, compression targets, bitrate guidelines)
  • references/ffmpeg_commands.md: FFmpeg command reference (metadata extraction, frame extraction, troubleshooting)
  • references/configuration.md: Script configuration options and adjustable constants
  • assets/template.html: HTML report template for customizing viewing modes and styling

Individual skills in this repo

This repo contains 9 individual skills — each has its own dedicated page.

daymade/claude-code-skills

>- Generates Chinese/Japanese speech with StepFun's Contextual TTS — default stepaudio-2.5-tts, stepaudio-3-tts for whisper/inline-() prosody. Replaces step-tts-2's voice_label with natural-language instruction. Use for emotional/prosody-controlled synthesis, batch voice lines, migrating from step-tts-2, or cloned voices (2.5/step-tts-2, not v3). Triggers on 阶跃 TTS, 语音合成, 配音. Not for transcription (use stepfun-asr).

daymade/claude-code-skills

Download YouTube videos and HLS streams (m3u8) from platforms like Mux, Vimeo, etc. using yt-dlp and ffmpeg. Use this skill when users request downloading videos, extracting audio, handling protected streams with authentication headers, or troubleshooting download issues like nsig extraction failures, 403 errors, or cookie extraction problems.

daymade/local-conversation-history

Entry point for local AI conversation history across providers. Routes a request to the one skill that owns it, by platform (Claude Code, OpenAI Codex, Kimi CLI) and action (read evidence vs continue interrupted work), and owns the one job none of them own alone: a single inventory spanning all three providers. Use when the provider is unknown or plural ("our history", "what have I been working on", "which chats did I have"), when the user wants Kimi CLI history at all, when it is unclear whether they need evidence or resumption, or when they ask for this skill by name. Vague recall that names no platform ("we discussed this once, when was it?") belongs here rather than to a single-provider reader, because a Claude-only answer to an unscoped question cannot support an absence claim. When the platform and the action are both already clear, load that executor skill directly instead — except Kimi CLI, which has no reader or continuation skill of its own and always routes through here.

daymade/ppt-creator

Create professional slide decks from topics or documents. Generates structured content with data-driven charts, speaker notes, and complete PPTX files. Applies persuasive storytelling principles (Pyramid Principle, assertion-evidence). Supports multiple formats (Marp, PowerPoint). Use for presentations, pitches, slide decks, or keynotes.

daymade/prompt-optimizer

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.

daymade/qa-expert

This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.

daymade/read-claude-code-history

Reads, searches, and exports local Claude Code history without resuming work. Covers recent session inventory, exact session timelines, verbatim human input including queued mid-turn prompts, full-event keyword search, hybrid recall when wording changed, end-state triage, and deleted-file recovery across active Claude homes plus registered archives. Use whenever the user asks what they or Claude said, wants a Claude Code session ID or original context, remembers prior work vaguely, needs an old file from a transcript, or must prove what a Claude session contained before continuing it. Also owns the only Kimi CLI surface, via its Kimi inventory and search flags. For Codex history use read-codex-history; when the request names no platform at all or spans providers, start at local-conversation-history.

daymade/read-codex-history

Reads, searches, and exports local OpenAI Codex history without continuing the old task. Lists recent Codex sessions, extracts exact prompt-ledger inputs by Session, locates a rollout by verified session_meta identity, reconstructs one chronological user/assistant timeline with fork and compaction lineage, and performs bounded keyword search across live and archived rollouts. Use whenever the user asks what they told Codex, wants recent original inputs, a Codex Session ID, full prior context, fork ancestry, or evidence of what a Codex run did. For Claude Code history use read-claude-code-history.

daymade/twitter-reader

Fetch Twitter/X post content including long-form Articles with full images and metadata. Use when Claude needs to retrieve tweet/article content, author info, engagement metrics, and embedded media. Supports individual posts and X Articles (long-form content). Automatically downloads all images to local attachments folder and generates complete Markdown with proper image references. Preferred over Jina for X Articles with images.

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