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stitch-videos-ffmpeg

stitch video segments with ffmpeg concat, xfade, overlay, audio mux, and export settings.

45

Quality

47%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/ads/packs/video-ad-formats/stitch-videos-ffmpeg/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

35%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a lean but generic scaffold: it sequences a workflow yet provides no executable ffmpeg guidance and never points to the actual composite/normalize scripts that hold the real instructions. It reads as a refactored template rather than skill-specific content.

Suggestions

Replace vague workflow lines with concrete ffmpeg guidance and reference the existing scripts by path (e.g., scripts/composite.py, scripts/normalize_clip.sh) with usage examples.

Add an explicit validation checkpoint with a runnable command (e.g., ffprobe the output, verify dimensions/duration) for the batch compositing operation.

Move the 'Implementation status / Sources / Extraction notes' meta-information out of the body since it does not help execution.

DimensionReasoningScore

Conciseness

Lines are short with no concept over-explanation, but 'Implementation status', 'Sources', and 'Extraction notes' meta-scaffolding plus generic boilerplate sections add tokens that don't aid execution.

2 / 3

Actionability

No concrete ffmpeg commands, code, or examples appear in the body — 'Run the provider, script, or planning workflow described by this skill' describes rather than instructs.

1 / 3

Workflow Clarity

Steps 1–5 are sequenced and Quality Checks exist, but for a batch video-compositing operation the validation is generic ('paths in the manifest are valid') with no real executable checkpoints or feedback loops.

2 / 3

Progressive Disclosure

Sections are organized and bundle scripts exist under scripts/, but the body never signals or links to those files, so navigation to the real executable material is missing.

2 / 3

Total

7

/

12

Passed

Description

60%

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 is specific and action-oriented but relies on technical jargon and omits any explicit 'when to use' trigger guidance, capping completeness. Adding a natural-language trigger clause and a few common phrasings would raise trigger quality and completeness.

Suggestions

Add a 'Use when...' clause naming natural triggers (e.g., when the user wants to combine, merge, or stitch video clips together).

Pair the ffmpeg terms with plain-language equivalents ('combine clips', 'crossfade transitions', 'mix audio') so users' common phrasings match.

Sharpen distinctiveness by noting what makes this skill's stitching different from generic video editing.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'concat, xfade, overlay, audio mux, and export settings' — tied to a clear domain (stitching video segments with ffmpeg).

3 / 3

Completeness

Clearly states what the skill does, but there is no 'Use when...' clause or equivalent trigger guidance, so the 'when' is missing rather than explicit.

2 / 3

Trigger Term Quality

'stitch video segments' is natural, but 'concat', 'xfade', 'audio mux' are technical jargon and common user phrasings like 'combine/merge video clips' are missing.

2 / 3

Distinctiveness Conflict Risk

The ffmpeg video-compositing niche is fairly specific, but it could still overlap with other general video/editing skills since no distinct trigger phrase separates it.

2 / 3

Total

9

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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