用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/LYL1015/JarvisHub --skill flova-themed-transformation-series命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | flova-themed-transformation-series |
| description | Use when 用户要按星座、生肖、五行、季节、自定义角色组等分组,结合节日、IP、场合或营销主题,批量生成统一镜头结构的主题变身特效短片系列。 |
用于主题变身特效短片系列:根据一组角色分类和一个主题,自动推导每组成员的信物、场景、妆造/视觉点缀、互动动作和一句台词,批量生成统一镜头结构的变身特效短片。
This is a series-production workflow. Each clip is independent, but all clips share a consistent transformation grammar.
imageUrl / videoUrl,不能把提交态当完成态。critic sub-agent:只读取真实媒体并评审,不生成、不补素材。blocked 项,除非本轮工具列表明确暴露对应能力。Use this skill for:
Do not use it for single product commercials, one-shot ads, or narrative story films unless the core idea is transformation-series production.
Follow the JarvisHub Execution Model. Use only parameters exposed by this turn's tool list.
If text-to-video, 15s clips, 16:9, or batch execution are unsupported, return prompts and a batch plan. If the harness supports parallel jobs, independent group-member clips may be generated in parallel.
Ask for or infer two core parameters:
group_system: the members to generate, such as zodiac signs, Chinese zodiac, five elements, seasons, custom personas.theme: the campaign or transformation world, such as 521, 618, Valentine's Day, New Year, wedding, circus, music festival, fantasy IP, game IP, graduation, product category.For each group member, collect or infer:
If the group system is common knowledge, infer traits and let the user review. If it is custom, ask for missing member names or trait definitions.
Do not copy rigid demographic or skin-tone restrictions from source material. Character appearance should follow:
Keep characters consistent across the series, but do not arbitrarily erase or forbid skin tones, body types, or identities. If the user wants a specific art style, follow it as long as it is safe and appropriate.
Default visual basis when the user gives no style:
Before generation, output a table and ask for confirmation:
| Member | Core Trait | Talisman | Scene | Styling Motif | Palette | Interaction | Short Line |
|---|
Derivation rules:
talisman: one recognizable object combining member symbolism and theme.scene: a space where the talisman and theme make sense.styling motif: a small visual addition to a shared base look.palette: member color plus theme color.interaction: a natural motion with the talisman or scene.short line: under about 20 Chinese characters unless user requests another language.Examples:
Do not generate until the table is approved or the user has asked for autonomous execution.
Each member clip should follow the same six-part structure:
This structure is intentionally repeatable. Variation should come from talisman, scene, styling motif, palette, interaction, and line.
Build each video prompt from confirmed table fields.
Template:
画面开场,[scene description],画面内没有任何人物。
[talisman] 从画面下方向上快速抛起,镜头跟随 [talisman] 的抛物线运动。
[talisman] 落地瞬间化为 [color/material] 粒子,粒子螺旋环绕,从地面向上逐步实体化。
先出现 [footwear/base styling],再出现 [costume/styling motif],最后完整呈现 [character description following user reference or series style]。
镜头快速拉远,展示角色全身与 [scene] 背景,[interaction action]。
镜头 360 度环绕并缓慢推近至面部特写,角色 [ending gesture/gaze],说出 {[short line]}。
无背景音乐,无字幕,无水印,无其他人物。
If the model should not generate speech, remove the spoken-line wrapper and mark the line for later VO/subtitle handling instead. If subtitles are forbidden, do not ask the video model to render the line visually.
All prompts should use the user's language by default. If the user requests a different language for lines, preserve that exact language for dialogue.
Across all member clips:
Per-member differences:
Because each member clip is independent, the harness may run them in parallel if supported.
Batch process:
Do not let a failed member block completed members unless the user needs all clips in one final assembled reel.
Avoid:
For IP-like themes, adapt broad visual motifs rather than copying exact protected designs unless the user owns or supplies the assets and rights context.
For each clip, check:
If one clip fails, regenerate that member with a tighter prompt; do not regenerate the whole series automatically.
Return:
group_system: member list and traits.theme: campaign/theme interpretation.planning_table: confirmed or proposed table.batch_prompts: prompt per member.media: per-member video URLs or pending states.review: per-member pass/fail notes.next_actions: regenerate failed clips, assemble reel, or create cover/title card if needed.Do not present ungenerated prompts as completed clips.
Use when the user asks JarvisHub AI Chat or a `webHero` workflow to generate a website, landing page, homepage, brand-style web design, preview-first webpage workflow, or wants section screenshots, webpage assets, and final HTML to be produced as one staged flow.
把 assets/demo 提炼成运行时可用的视觉连续性方法论:先锁资产/角色/场景/镜头语义,再做扩镜与视频。(素材生成场景:角色一致性、视觉锚点锁定、单素材生成前的锚点规范与一次只改一个变量。)
基于用户提供的设计稿图片还原真实网页。该 skill 可用于任意前端项目,但强依赖本地已启动且已授权的 JarvisHub vision 工作流;视觉模型由服务端默认配置决定,支持外部传入 vision prompt,且不可静默降级。
基于 SOC 职业分类