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.
Install with Tessl CLI
npx tessl i github:fernandezbaptiste/claude-code-skills --skill video-comparer89
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that hits all the marks. It provides specific capabilities (quality metrics, HTML reports, frame-by-frame comparisons), includes explicit trigger guidance with natural user phrases, and carves out a distinct niche in video compression analysis that won't conflict with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'comparing two videos', 'analyze compression results', 'Generates interactive HTML reports', 'quality metrics (PSNR, SSIM)', and 'frame-by-frame visual comparisons'. | 3 / 3 |
Completeness | Clearly answers both what (comparing videos, generating HTML reports with metrics and visual comparisons) AND when (explicit 'Triggers when users mention...' clause with specific trigger phrases). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would say: 'compare videos', 'video quality', 'compression analysis', 'before/after compression', and 'quality assessment of compressed videos'. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche focused specifically on video compression comparison with distinct technical triggers (PSNR, SSIM, frame-by-frame) that are unlikely to conflict with general video or document skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with strong actionability and good progressive disclosure. The main weaknesses are some verbosity in explaining script behavior that Claude could infer, and missing validation checkpoints for batch operations. The reference material organization is exemplary.
Suggestions
Remove or condense the 'When to Use This Skill' section since it duplicates the skill description metadata
Add explicit validation step after batch comparison (e.g., 'Verify each report opens correctly' or check for file existence)
Trim the 'Script Behavior' section - Claude doesn't need explanations of what PSNR/SSIM are, just the thresholds and interpretation
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient but includes some unnecessary explanation. The 'When to Use This Skill' section repeats information from the description, and some sections like 'Script Behavior' explain things Claude could infer from the code examples. | 2 / 3 |
Actionability | Provides fully executable bash commands with clear examples including basic usage, custom options, and batch processing. Installation commands are platform-specific and copy-paste ready. | 3 / 3 |
Workflow Clarity | The basic command workflow is clear, but there's no explicit validation checkpoint after running the comparison. For batch operations, there's no error handling or verification step to confirm successful report generation. | 2 / 3 |
Progressive Disclosure | Excellent structure with clear overview, well-organized sections, and appropriate references to external files (video_metrics.md, ffmpeg_commands.md, configuration.md). References are one level deep and clearly signaled. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Table of Contents
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