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AI 生成动画短片生产线:图(关键帧锁确定性)→ 视频(i2v 给活气)→ 后期(剪辑做节奏)。 Use when: 做动画短剧/角色 IP 短片、猫咖日记系列新集、图生视频管线、剧情类 AI 视频。 Not for: 录屏/教程/showcase 视频(用 video-forge)、单张图生成(用 image-generation)、PPT(用 ppt-forge)。 Output: charter+分镜+prompt book+素材账本+EDL 驱动的成片,全程可复现可重渲。

71

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

77%Weight 40%Scale 1-3

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

A dense, highly actionable skill body with a well-sequenced workflow and real validation checkpoints. The main gaps are inline time-sensitive provenance dates that hurt conciseness, and a set of clearly-signaled references that are not backed by an actual shipped bundle.

Suggestions

Move provenance dates and version numbers (e.g. '2026-06-10~12', '2026-06-12 实测', 'v0.1') into a dedicated changelog/provenance or 'old patterns' section so the main flow stays time-insensitive and leaner.

Ship the referenced files (prompt-book-v0.1.md, review-protocol-v0.1.md, build-animatic.mjs, shot-plan-v0.1.md, assets/README.md) in references/ or scripts/ so the one-level-deep pointers resolve to real bundled material.

For references that point to external repo paths (docs/videos/cucu-pr-flow/episode-brief.md, video-forge/SKILL.md), note explicitly that they are cross-skill/repo artifacts rather than bundled references, so navigation expectations are clear.

DimensionReasoningScore

Conciseness

The body is dense and un-padded ('不教什么是 i2v'), but inline time-sensitive dates ('2026-06-10~12', '2026-06-12 实测') and version numbers ('v0.1') sit in the main flow rather than a deprecated/old-patterns section, which the guidelines say to penalize — so not the lean level-3 anchor.

2 / 3

Actionability

Concrete executable guidance throughout: tool routing ('GPT 系生图', 'Gemini 系'), a specific ffmpeg flag ('-loop 1'), named scripts ('build-animatic.mjs', 'animatic/edl-v1.mjs'), and concrete prompt rules ('3-4 个 Then', 'Keep cartoon 句 + Do not realistic') — actionable enough that the absence of full code blocks is not penalized for an instruction-only skill.

3 / 3

Workflow Clarity

The 8-step 流程 is clearly sequenced with an explicit validation checkpoint ('Animatic 检查点(行为刹车)'), a '30 秒人工验收四问' checklist, roll judging via review-protocol, and a Common Mistakes 错误→后果→修复 table as an error-recovery feedback loop; batch/destructive generation is explicitly guarded, so it is not capped at 2.

3 / 3

Progressive Disclosure

References are well-signaled and one-level-deep ('→ 范例', '→ 范例+配方'), but no references/, scripts/, or assets/ bundle directories exist, so none of the cited files (prompt-book-v0.1.md, review-protocol-v0.1.md, build-animatic.mjs, etc.) can be verified as real shipped files, and several point to external repo paths — matching the 'references present but not backed by actual structure' level rather than the clean level-3 split.

2 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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, well-structured description: concrete pipeline actions, natural trigger terms, explicit use-when/not-for boundaries, and clear disambiguation from sibling skills. Voice is third-person throughout, so no specificity penalty applies.

DimensionReasoningScore

Specificity

Lists multiple concrete actions and artifacts — 'charter+分镜+prompt book+素材账本+EDL 驱动的成片' plus the 图(关键帧)→视频(i2v)→后期(剪辑) pipeline — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers what (the production line + Output artifacts) and when ('Use when:' clause) with explicit triggers, plus a 'Not for:' boundary; clearly the both-what-and-when anchor rather than the level below where 'when' is only implied.

3 / 3

Trigger Term Quality

'Use when: 做动画短剧/角色 IP 短片、猫咖日记系列新集、图生视频管线、剧情类 AI 视频' covers natural terms a user would actually say, matching the good-coverage anchor; not the level below because it supplies several common phrasings rather than a single generic keyword.

3 / 3

Distinctiveness Conflict Risk

'Not for: ...(用 video-forge)、...(用 image-generation)、...(用 ppt-forge)' carves a clear niche with distinct triggers and explicit redirects away from sibling skills, unlikely to trigger for the wrong skill.

3 / 3

Total

12

/

12

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

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

14

/

16

Passed

Repository
zts212653/clowder-ai
Reviewed

Table of Contents

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