Extract frames or short clips from videos using ffmpeg.
78
Quality
70%
Does it follow best practices?
Impact
100%
1.31xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./openclaw/skills/video-frames/SKILL.mdQuality
Discovery
40%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description identifies a clear, specific niche (video frame/clip extraction with ffmpeg) but suffers from missing explicit trigger guidance. While the capabilities are reasonably specific, the lack of a 'Use when...' clause significantly limits Claude's ability to know when to select this skill from a large skill library.
Suggestions
Add a 'Use when...' clause with trigger terms like 'extract frame', 'video screenshot', 'clip from video', 'ffmpeg', or when users mention video file extensions (.mp4, .mov, .avi)
Expand trigger terms to include natural phrases users would say: 'grab a frame', 'screenshot from video', 'cut a clip', 'video segment'
Consider adding more specific capabilities like 'extract frames at specific timestamps, create GIFs from video segments, capture thumbnail images'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (videos) and specific actions (extract frames, short clips) with the tool (ffmpeg), but only lists two actions rather than a comprehensive set of capabilities. | 2 / 3 |
Completeness | Describes what the skill does but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. | 1 / 3 |
Trigger Term Quality | Includes relevant terms like 'frames', 'clips', 'videos', and 'ffmpeg', but misses common variations users might say like 'screenshot from video', 'grab frame', 'video snippet', or file extensions like '.mp4', '.mov'. | 2 / 3 |
Distinctiveness Conflict Risk | Clear niche focusing specifically on frame/clip extraction from videos using ffmpeg - unlikely to conflict with other skills due to the specific tool and action combination. | 3 / 3 |
Total | 8 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent, minimal skill that does exactly what it needs to. It provides concrete, executable commands without any unnecessary explanation, respects Claude's intelligence, and organizes the two main use cases clearly. The notes section adds practical guidance without bloat.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely lean and efficient. No unnecessary explanations about what ffmpeg is or how video frames work. Every line serves a purpose. | 3 / 3 |
Actionability | Provides fully executable bash commands with clear argument patterns. Copy-paste ready with obvious parameter substitution points. | 3 / 3 |
Workflow Clarity | This is a simple single-task skill (frame extraction). The two use cases (first frame vs. timestamp) are clearly distinguished with unambiguous commands. | 3 / 3 |
Progressive Disclosure | For a simple skill under 50 lines with no need for external references, the content is well-organized with clear sections (Quick start, Notes). Appropriate structure for scope. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
72%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 8 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata.version' is missing | Warning |
metadata_field | 'metadata' should map string keys to string values | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 8 / 11 Passed | |
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Table of Contents
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