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video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

62

Quality

75%

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/video-editing/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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.

A well-structured, largely executable pipeline skill with strong FFmpeg/Remotion coverage and verified one-level bundle references. Its weaknesses are off-topic pipeline paragraphs that pad token usage and missing validation/verification steps around batch FFmpeg operations.

Suggestions

Add validation after the batch cut loop (e.g. verify each output segment exists, is non-empty, and matches the expected count/duration before concatenation) and after silence-detection cuts, satisfying the batch-operation feedback loop the rubric requires.

Remove or relocate the DAW/MIDI/bridge-capability paragraphs in The Pipeline section; they address audio-workstation concerns not exercised anywhere else in this video-editing skill.

Move the Native Fusion Presets detail and the tool-strength comparison table into the assets/fusion READMEs or a reference file to shorten SKILL.md and deepen the progressive-disclosure structure.

DimensionReasoningScore

Conciseness

The FFmpeg/Remotion sections are tight and command-first, but the Pipeline section carries off-topic DAW/MIDI/bridge-audition paragraphs whose relevance to video editing is unclear — trimming candidates that go beyond minor over-explanation.

3 / 5

Actionability

Most blocks are copy-paste ready (ffmpeg timestamp cuts, concat, loudnorm, full Remotion component), but the fal.ai generate() call and VideoDB snippets are illustrative pseudocode without imports or setup, leaving minor gaps.

4 / 5

Workflow Clarity

The six-layer pipeline is clearly sequenced with per-layer jobs, but the central batch operations (the cuts.txt while-loop and silence-detection auto-cut) have no output validation steps, which the rubric caps at 3.

3 / 5

Progressive Disclosure

Bundle references (assets/fusion/ito-production-v1/README.md, assets/fusion/ito-v28/README.md) are real files, one level deep, and clearly signaled with scope caveats; minor organization gaps remain where Fusion-preset detail and the tool-comparison table sit inline in an already long body.

4 / 5

Total

14

/

20

Passed

Description

88%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 description: concrete capability verbs, an explicit tool pipeline, and a clear third-person 'Use when...' trigger clause. The only weakness is trigger-term breadth — a few natural synonyms and file extensions are absent.

DimensionReasoningScore

Specificity

"cutting, structuring, and augmenting real footage" plus a named pipeline (FFmpeg, Remotion, ElevenLabs, fal.ai, Descript/CapCut) lists multiple concrete actions covering the full workflow comprehensively, matching the anchor-5 example.

5 / 5

Completeness

It explicitly answers what ("AI-assisted video editing workflows for cutting, structuring, and augmenting real footage...") and when ("Use when the user wants to edit video, cut footage, create vlogs, or build video content") with concrete trigger phrases.

5 / 5

Trigger Term Quality

"edit video", "cut footage", "create vlogs", and "build video content" are natural user phrases, but common variations and synonyms (e.g. trim, subtitles, short-form, .mp4) are missing.

4 / 5

Distinctiveness Conflict Risk

The editing-not-generation framing carves a clear niche, but naming ElevenLabs and fal.ai creates minor overlap risk with a media-generation skill covering those tools.

4 / 5

Total

18

/

20

Passed

Validation

81%

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

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

relative_links

Relative link issues: 2 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 2 deeper-than-1-level

Warning

Total

13

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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