SKILLEMALL.ai

AC short-drama-storyboard-pipeline

短剧/漫剧分镜提示词流水线:把剧本片段或分镜表批量转成首帧图提示词与图生视频提示词 (I2V 首帧驱动 / FL2V 首尾帧),适配即梦、可灵、海螺 H3、Seedance、Vidu、Runway 六类模型方言,内置角色一致性锚点、竖屏 9:16 镜头语言与 CSV/JSON 批量导出。 Use when the user wants to batch-generate storyboard image prompts or image-to-video prompts for AI short drama / comic drama (短剧、漫剧、AI 短剧、分镜、图生视频、首尾帧、 角色一致性), or needs model-specific prompt dialects (Jimeng, Kling, Hailuo H3, Seedance, Vidu, Runway). Not for single standalone clips, video editing, or full film assembly.

ClawHub Agent Skills author: PlinkChan v1.0.2 MIT-0 10 files body ≈ 737 tokens Open the sourceclawhub.ai analyzed 3 d ago

短剧/漫剧分镜提示词流水线:把剧本片段或分镜表批量转成首帧图提示词与图生视频提示词 (I2V 首帧驱动 / FL2V 首尾帧),适配即梦、可灵、海螺 H3、Seedance、Vidu、Runway 六类模型方言,内置角色一致性锚点、竖屏 9:16 镜头语言与 CSV/JSON 批量导出。 Use when the…

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureMedia and videoAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 24 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 737 tokens
    • 100Running it twice. No mutating operations

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 467: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This skill is a coherent short-drama prompt-pack exporter with one spreadsheet-safety caveat in generated CSV manifests.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026