video-clipper

Repurposes long-form video (podcasts, interviews, talks) into short-form vertical clips for Instagram Reels, TikTok, and YouTube Shorts. Handles transcription, moment selection, clip extraction, speaker-tracked reframing (16:9 to 9:16), and animated captions.

Quality

80%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

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tessl review fix ./skills/design/packs/video-production/video-clipper/SKILL.md

Quality

Content

77%

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

The body is highly actionable with concrete, executable code and a clear, well-gated pipeline including user approval and polling feedback loops. It loses points for a redundant workflow summary and for keeping all reference material inline rather than splitting into bundle files.

Suggestions

Move the caption template-ID table and full Klap/Captions.ai API code into a references/ file (e.g. API.md) to reduce SKILL.md length and improve progressive disclosure.

Remove or trim the 'Workflow Summary' diagram since it restates the numbered Step 1-8 pipeline verbatim.

Add an explicit retry/recovery instruction for when Klap or Captions.ai polling returns FAILED, to close the error-recovery feedback loop.

Dimension	Reasoning	Score
Conciseness	Largely efficient with executable API code and domain-specific viral-scoring rubric, but the redundant 'Workflow Summary' diagram repeats the pipeline and 'Known Limitations' restates constraints already given, so it could be tightened.	2 / 3
Actionability	Provides fully executable FFmpeg/yt-dlp commands and complete Python snippets for Whisper, Klap polling/export, and Captions.ai, plus concrete template IDs and cost tables — copy-paste ready.	3 / 3
Workflow Clarity	Steps 1-8 are clearly sequenced with explicit validation checkpoints: install verification up front, a hard user-approval gate ('Do NOT proceed to Step 4 until user approves'), and polling loops with FAILED handling for batch clip processing.	3 / 3
Progressive Disclosure	Well-organized into sections but monolithic (~360 lines) with no bundle files; reference material like the full template-ID table and complete API code is inline and could be split into separate reference files.	2 / 3
	Total	10 / 12 Passed

Description

82%

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, third-person, and rich in natural trigger terms covering the major social platforms, with a clear and distinctive niche. Its main weakness is the absence of an explicit 'Use when...' trigger clause, which caps completeness.

Suggestions

Add an explicit 'Use when...' trigger clause, e.g. 'Use when repurposing long-form video into short-form clips for Reels, TikTok, or Shorts.'

Consider mentioning 'YouTube videos' or 'video clips' as additional natural trigger terms users may say.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions in third person — 'Handles transcription, moment selection, clip extraction, speaker-tracked reframing (16:9 to 9:16), and animated captions' — matching the score-3 anchor of several specific concrete actions.	3 / 3
Completeness	Clearly answers 'what does this do', but there is no 'Use when...' clause or equivalent explicit trigger guidance, so completeness is capped at 2 per the judging guidelines.	2 / 3
Trigger Term Quality	Natural terms users would say are well covered — 'podcasts, interviews, talks', 'short-form vertical clips', 'Instagram Reels, TikTok, and YouTube Shorts' — the kind of vocabulary a user would actually invoke.	3 / 3
Distinctiveness Conflict Risk	A clear niche (social short-form video clipping) with distinct triggers unlikely to collide with other skills; 'speaker-tracked reframing (16:9 to 9:16)' further sharpens it.	3 / 3
	Total	11 / 12 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: gooseworks-ai/goose-skills
Path: skills/design/packs/video-production/video-clipper/SKILL.md
Commit: 8866b2a

Reviewed: 1 day ago

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