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video-creation-suite

自媒体创作者与影片与视频编辑当需要从零原创、二次创作或深度分析视频时,请使用此套件。通过11个智能体协同,一键生成配音、音效与BGM并合成高质量视频,或自动抽帧提取分镜提示词,全流程大幅提升视频产出效率。

61

Quality

72%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

High

Do not use without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/video-creation-suite/video-creation-suite/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.

The body is well-structured with actionable, parameterized script calls and a clean resource index pointing to verified bundle files. Its main weaknesses are repetition (deps and script indices appear multiple times) and the absence of explicit validation feedback loops in batch workflows.

Suggestions

Add explicit validate→fix→retry checkpoints to each mode's workflow (e.g. after synthesis run quality_checker.py and only proceed when valid), especially for modes 2 and 3 which currently have none.

De-duplicate: list environment dependencies once and remove script entries from 资源索引 that are already cited inline, or keep only the index and reference it from the steps.

Specify the JSON input schemas for voice_generator.py / sound_generator.py (or link to a reference) so the placeholder arguments become copy-paste ready.

DimensionReasoningScore

Conciseness

The body is mostly efficient and does not explain concepts Claude already knows, but dependencies are listed three times (frontmatter, 前置准备 code block, and again implicitly), the 资源索引 duplicates scripts already cited inline, and API config is repeated at the bottom — clear tightening opportunities.

3 / 5

Actionability

Concrete executable script calls with real flags and output paths are given (e.g. 'scripts/video_frame_extractor.py --input <原视频路径> --output ./output/frames --interval 2'), but placeholder arguments like '<旁白数据JSON>' and absent inline JSON schemas leave minor gaps, so not a 5.

4 / 5

Workflow Clarity

Steps are clearly sequenced into phases per mode, but these are batch/destructive operations (bulk frame/image/audio generation, file serving) with no explicit validate→fix→retry feedback loop, and modes 2 and 3 lack any validation checkpoint — the rubric cap at 3 applies.

3 / 5

Progressive Disclosure

A clear overview points to one-level-deep references (references/*.md, scripts/*.py, assets/*/) that all exist and are listed with descriptions in 资源索引; minor gaps such as the inline Edge-TTS voice list and Suno modes that could live in a reference keep it at 4.

4 / 5

Total

14

/

20

Passed

Description

83%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.

The description is strong: it explicitly pairs a comprehensive 'what' with a concrete 'Use when…' trigger clause and uses natural trigger terms. Minor marketing language ('一键', '全流程大幅提升') and a couple of missing synonyms keep specificity and trigger quality at 4 rather than 5.

Suggestions

Trim marketing fluff ('一键', '全流程大幅提升视频产出效率') to keep the description lean and avoid over-claiming.

Add common synonyms users say, e.g. '二创视频', '混剪', '视频重制', to broaden natural trigger coverage.

Sharpen the analysis trigger ('深度分析视频') to something more niche-specific to reduce overlap with generic analysis skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across three modes ('从零原创、二次创作或深度分析视频', '一键生成配音、音效与BGM并合成高质量视频', '自动抽帧提取分镜提示词'), approaching comprehensive coverage, but marketing padding ('一键', '全流程大幅提升视频产出效率') keeps it just below a 5.

4 / 5

Completeness

Explicitly answers both 'what' (11 agents, voiceover/sound/BGM generation, video synthesis, frame extraction) and 'when' via the concrete trigger clause '当需要从零原创、二次创作或深度分析视频时,请使用此套件'.

5 / 5

Trigger Term Quality

Natural user-facing terms are present ('原创', '二次创作/二创', '深度分析视频', '配音', '音效', 'BGM') that users would actually say, with good coverage; a few common synonyms/variations are missing, so it is not a 5.

4 / 5

Distinctiveness Conflict Risk

A clear multi-agent video-creation niche with three distinct modes is distinguishable from most skills, but broad triggers like '深度分析视频' create minor overlap risk with general media-analysis skills, so not a 5.

4 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
anbeime/skill
Reviewed

Table of Contents

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