video-frames
Extract frames or short clips from videos using ffmpeg.
Install with Tessl CLI
npx tessl i github:Hung-Reo/hungreo-openclaw --skill video-frames73
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
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 is perfectly scoped for its single-purpose task.
| 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 and assumes Claude's competence. | 3 / 3 |
Actionability | Provides fully executable bash commands with clear argument patterns. Copy-paste ready examples for both basic and timestamped frame extraction. | 3 / 3 |
Workflow Clarity | This is a simple, single-purpose skill (extract frames). The single action is unambiguous with clear examples. No multi-step process requiring validation checkpoints. | 3 / 3 |
Progressive Disclosure | For a 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 | |
- Reviewed
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