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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.

66

Quality

80%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

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

Highly actionable, well-sequenced content with concrete code and explicit validation checkpoints, but it is a long single-file skill with no progressive disclosure to separate reference files and minor redundancy.

Suggestions

Move the Klap/Captions.ai API reference details and the caption-template table into a references/ file (e.g. APIS.md) and link to it from SKILL.md to improve progressive disclosure.

Remove or compress the 'Workflow Summary' section since it duplicates the Pipeline steps.

Add a final output-verification step (confirm 1080x1920, 15-60s duration, valid MP4) before declaring the clips ready to post.

DimensionReasoningScore

Conciseness

Mostly efficient operational content (executable commands, API calls, cost tables) with minor redundancy — the 'Workflow Summary' section largely restates the Pipeline — and a few explanatory notes that could be trimmed.

4 / 5

Actionability

Provides copy-paste-ready FFmpeg/yt-dlp commands, Whisper code, and full Klap/Captions.ai API requests with auth, polling, and concrete template IDs covering the common cases.

5 / 5

Workflow Clarity

Eight clearly sequenced steps with explicit checkpoints (pre-flight install verification, a 'Do NOT proceed to Step 4 until user approves' gate, poll-until-ready loops), but no final output-verification step for the batch result.

4 / 5

Progressive Disclosure

Well-structured with clear headers but monolithic — no bundle files exist and substantial content (full API reference details, the 8-row template table, the viral-scoring rubric) is inlined that could live in one-level-deep reference files.

3 / 5

Total

16

/

20

Passed

Description

82%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description with excellent trigger-term coverage and a clear distinct niche, but it lacks an explicit 'Use when...' trigger clause, capping completeness at 3.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user wants to turn a podcast, interview, or talk into short vertical clips for Reels, TikTok, or Shorts.'

Optionally name the input forms users mention ('YouTube URL', 'video file', 'mp4') to broaden natural trigger coverage.

DimensionReasoningScore

Specificity

Names the domain ('long-form video (podcasts, interviews, talks)') and lists multiple concrete actions — 'transcription, moment selection, clip extraction, speaker-tracked reframing (16:9 to 9:16), and animated captions' — giving comprehensive coverage.

5 / 5

Completeness

Has a clear 'what' but no explicit 'when'/'Use when...' trigger clause; per the judging guidelines a missing explicit trigger guidance caps completeness at 3.

3 / 5

Trigger Term Quality

Includes natural terms users would say — 'podcasts, interviews, talks', 'Instagram Reels, TikTok, and YouTube Shorts', 'vertical clips', 'captions' — covering synonyms and platform-specific variations.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (long-form-to-short-form vertical video repurposing for named platforms) with distinct triggers and minimal overlap with other skills.

5 / 5

Total

18

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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
Reviewed

Table of Contents

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