Interactive prompt studio for HappyHorse 1.0 video generation. Guides users through scenario discovery with vivid examples, then assembles production-ready prompts in JP/CN/EN. Use when someone wants to create AI video content with HappyHorse but doesn't know where to start, or when they have a specific scenario and need a polished prompt. Covers manga drama, character PV, manga motion, virtual idol MV, and free-form scenarios.
EnglishScaffold and generate reference assets for characters (cast), locations (movie-set / set dressing), and key props — the three pillars of visual consistency in spark-video. Wraps bl image generate / edit for portrait creation. Use when adding new characters/locations/props or when costume/state changes are needed.
EnglishPer-clip quality reviewer + render retry state machine. After each rendered shot, score it on 6 axes via bl omni (qwen3.5-omni-plus), then decide ACCEPT / REJECT-and-rewrite / REJECT-and-escalate. Handles up to N retry rounds with auto prompt rewriting; escalates to spark-video-director when retries are exhausted.
EnglishTranslate a screenplay (one scene at a time) into a provider-agnostic storyboard fragment for the spark-video pipeline. Wraps Shanyin Super Director Master when available — the upstream Shanyin SKILL is the single source of truth for craft when present.
EnglishOne-shot autopilot orchestrator — runs the full spark-video pipeline (screenwriter ↔ director per-scene parallel → render chain-DAG parallel + per-clip review →…
EnglishOne-shot autopilot orchestrator — runs the full spark-video pipeline (screenwriter ↔ director per-scene parallel → render chain-DAG parallel + per-clip review →…
EnglishTurn a user's premise into a structured screenplay (one scene at a time) for the spark-video pipeline. Wraps Shanyin Super Screenwriting Master when available — that upstream Shanyin SKILL is the single source of truth for craft when present.
EnglishPre-render quality gate. Read a finished storyboard.json and produce a structured review report flagging visual inconsistencies, prompt defects, and continuity errors that would waste render budget. You find problems; the director fixes them. Opt-in — bypassed unless the producer explicitly invokes you.
English阿里云百炼平台技术文档知识库(LLM Wiki)。当用户查询百炼模型列表、API 参数、错误码、 应用开发(智能体/RAG/知识库/记忆/插件)、模型对比与定价、SDK/OpenAI 兼容接口、 多模态能力(语音/图片/视频)、Token 计费等百炼相关问题时激活。 包含 models 结构化模型市场数据(含 contextWindow/QPM/价格/sample code)、 wiki 合成层(主题页/概念页/对比页)和 raw 原始文档层; 模型规格类问题先查 models/index.md,文档类问题先查…
Chinese阿里云百炼模型选型与推荐。当用户需要"选择、推荐、对比"模型,或描述一个 AI 场景/功能需求(隐含需要帮其决策用哪个模型)时激活。核心意图是帮用户做决策, 不是单纯查资料。触发词:推荐模型、选哪个、哪个适合、对比、做一个XX、实现XX 功能、用什么模型好、XX场景方案。当用户同时涉及模型查询和模型选择时,优先 使用本 skill(本 skill…
Chinese用百炼 CLI (bl) 走完"数据→微调训练→导出→部署→调用"的完整闭环,或跳过训练直接部署基座模型。支持文本模型(SFT/DPO/CPT)、音频 TTS 模型(CosyVoice)和图像生成模型(Wan2.7)微调。涵盖数据集校验/上传、创建微调任务、等待训练、导出最佳 checkpoint、创建推理部署、等待就绪、给出调用示例。当用户提到在百炼 / DashScope / 阿里云模型工作室上"训练模型""微调""fine-tune""finetune""部署模型""模型上线""把微调模型跑起来/调用""训练一个推理模型""继续预训练""LoRA/SFT/DPO 训练""语音合成模型""TTS 微调""CosyVoice""声音克隆""图像生成微调""文生图""图生图""Wan2.7""图像模型训练"等,都应激活本技能——即使用户没明说"用…
Chinese金融数据分析技能(基于 bl mcp + 阿里云百炼 MCP 市场 market-cmapi00073529), 覆盖中国 A 股、基金、债券等金融标的。支持股票筛选、基金筛选、基金经理筛选、 财务数据查询(净利润 / 营收 / ROE 等)、宏观与行业时序数据(GDP / CPI / 产销价)、 券商研报检索、A 股上市公司公告检索。当用户问及以下关键词时务必激活: 选股 / 股票筛选、基金筛选、基金经理筛选、财务数据 / 净利润 / 营收 / 估值、 宏观经济 / GDP / CPI、行业产量销量价格、券商研报 / 行业研报、上市公司公告。…
Chinese将小说/故事改编为互动小说网页游戏(React SPA),含 AI 生成素材(视频/图片可选)、 可选 TTS 旁白、程序化音频、分支剧情引擎、存档系统。 使用 bl CLI 完成素材生成(bl video generate / bl image generate / bl speech synthesize)。 当用户提到互动小说、文字冒险游戏、小说改编游戏、H5…
Chinese
AGENT SKILLS ATLASIncludes Happyhorse Prompt Studio, Spark Video Cast, Spark Video Clip Review, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Happyhorse Prompt Studio
Interactive prompt studio for HappyHorse 1.0 video generation. Guides users through scenario discovery with vivid examples, then assembles production-ready prompts in JP/CN/EN. Use when someone wants to create AI video content with HappyHorse but doesn't know where to start, or when they have a specific scenario and need a polished prompt. Covers manga drama, character PV, manga motion, virtual idol MV, and free-form scenarios.
Spark Video Cast
Scaffold and generate reference assets for characters (cast), locations (movie-set / set dressing), and key props — the three pillars of visual consistency in spark-video. Wraps bl image generate / edit for portrait creation. Use when adding new characters/locations/props or when costume/state changes are needed.
Spark Video Clip Review
Per-clip quality reviewer + render retry state machine. After each rendered shot, score it on 6 axes via bl omni (qwen3.5-omni-plus), then decide ACCEPT / REJECT-and-rewrite / REJECT-and-escalate. Handles up to N retry rounds with auto prompt rewriting; escalates to spark-video-director when retries are exhausted.
Spark Video Director
Translate a screenplay (one scene at a time) into a provider-agnostic storyboard fragment for the spark-video pipeline. Wraps Shanyin Super Director Master when available — the upstream Shanyin SKILL is the single source of truth for craft when present.
Spark Video Episode
One-shot autopilot orchestrator — runs the full spark-video pipeline (screenwriter ↔ director per-scene parallel → render chain-DAG parallel + per-clip review → stitch)
Spark Video Episode
One-shot autopilot orchestrator — runs the full spark-video pipeline (screenwriter ↔ director per-scene parallel → render chain-DAG parallel + per-clip review → stitch)
Spark Video Screenwriter
Turn a user's premise into a structured screenplay (one scene at a time) for the spark-video pipeline. Wraps Shanyin Super Screenwriting Master when available — that upstream Shanyin SKILL is the single source of truth for craft when present.
Spark Video Vfx Review
Pre-render quality gate. Read a finished storyboard.json and produce a structured review report flagging visual inconsistencies, prompt defects, and continuity errors that would waste render budget. You find problems; the director fixes them. Opt-in — bypassed unless the producer explicitly invokes you.
Bailian Docs LLM Wiki
阿里云百炼平台技术文档知识库(LLM Wiki)。当用户查询百炼模型列表、API 参数、错误码、 应用开发(智能体/RAG/知识库/记忆/插件)、模型对比与定价、SDK/OpenAI 兼容接口、 多模态能力(语音/图片/视频)、Token 计费等百炼相关问题时激活。 包含 models 结构化模型市场数据(含 contextWindow/QPM/价格/sample code)、 wiki 合成层(主题页/概念页/对比页)和 raw 原始文档层; 模型规格类问题先查 models/index.md,文档类问题先查 wiki/index.md。
Bailian Model Recommend
阿里云百炼模型选型与推荐。当用户需要"选择、推荐、对比"模型,或描述一个 AI 场景/功能需求(隐含需要帮其决策用哪个模型)时激活。核心意图是帮用户做决策, 不是单纯查资料。触发词:推荐模型、选哪个、哪个适合、对比、做一个XX、实现XX 功能、用什么模型好、XX场景方案。当用户同时涉及模型查询和模型选择时,优先 使用本 skill(本 skill 内部会读取模型数据完成推荐)。
Bailian Train Deploy
用百炼 CLI (bl) 走完"数据→微调训练→导出→部署→调用"的完整闭环,或跳过训练直接部署基座模型。支持文本模型(SFT/DPO/CPT)、音频 TTS 模型(CosyVoice)和图像生成模型(Wan2.7)微调。涵盖数据集校验/上传、创建微调任务、等待训练、导出最佳 checkpoint、创建推理部署、等待就绪、给出调用示例。当用户提到在百炼 / DashScope / 阿里云模型工作室上"训练模型""微调""fine-tune""finetune""部署模型""模型上线""把微调模型跑起来/调用""训练一个推理模型""继续预训练""LoRA/SFT/DPO 训练""语音合成模型""TTS 微调""CosyVoice""声音克隆""图像生成微调""文生图""图生图""Wan2.7""图像模型训练"等,都应激活本技能——即使用户没明说"用 bl",只要意图是百炼平台的训练或部署,就用本技能,不要自己拼凑命令。
Financial Expert
金融数据分析技能(基于 bl mcp + 阿里云百炼 MCP 市场 market-cmapi00073529), 覆盖中国 A 股、基金、债券等金融标的。支持股票筛选、基金筛选、基金经理筛选、 财务数据查询(净利润 / 营收 / ROE 等)、宏观与行业时序数据(GDP / CPI / 产销价)、 券商研报检索、A 股上市公司公告检索。当用户问及以下关键词时务必激活: 选股 / 股票筛选、基金筛选、基金经理筛选、财务数据 / 净利润 / 营收 / 估值、 宏观经济 / GDP / CPI、行业产量销量价格、券商研报 / 行业研报、上市公司公告。 不适用于:通用编程问题、非金融数据、非中国市场标的。
Novel Game
将小说/故事改编为互动小说网页游戏(React SPA),含 AI 生成素材(视频/图片可选)、 可选 TTS 旁白、程序化音频、分支剧情引擎、存档系统。 使用 bl CLI 完成素材生成(bl video generate / bl image generate / bl speech synthesize)。 当用户提到互动小说、文字冒险游戏、小说改编游戏、H5 互动游戏、分支剧情、视觉小说时激活。
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Happyhorse Prompt Studio skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
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- Reported license for the skills shown: Apache-2.0. The author’s terms apply.