video-frames
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 domain (video frame/clip extraction with ffmpeg) which makes it distinctive, but it lacks completeness by omitting explicit trigger guidance. The trigger terms are adequate but could include more natural user language variations.
Suggestions
Add a 'Use when...' clause with explicit triggers like 'Use when the user wants to extract frames, screenshots, or short clips from video files, or mentions ffmpeg, video thumbnails, or grabbing frames.'
Expand trigger terms to include natural user language like 'screenshot from video', 'grab frame', 'video thumbnail', and common file extensions (.mp4, .mov, .avi).
| 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 | The combination of video processing, frame/clip extraction, and ffmpeg creates a clear niche that is unlikely to conflict with other skills like general video editing or audio processing. | 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 do. 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 about format choices without being verbose.
| 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 (extract frames). 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 the 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 | |
- Repository
- trpc-group/trpc-agent-go
- Commit
50ef2f3
- Reviewed
Table of Contents
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