A command-line workflow for fine-tuning your own Alibaba Cloud Bailian models using text, audio, or image data. It validates and uploads training data, creates a training job, tracks it, exports a selected result, and can deploy the model as a service.
An interface to Alibaba Cloud Bailian, a service for generating and understanding images, video, and audio. It supports tasks such as creating images, editing pictures, making videos, text-to-speech, transcription, and asking questions about media.
A command-line tool for managing Alibaba Cloud Bailian hosted agents and deployments from an agents.yaml file. This file acts as the single description of the remote resources, similar to infrastructure-as-code configuration.
A shared operating guide for Alibaba Cloud Bailian command-line skills. It defines how to choose a provider, request consent, check versions, handle authentication and installation, and report errors.
A routing skill for web searches through Alibaba Cloud Bailian. It chooses between Bailian's search service and a model's built-in web-search tool based on the active account and connection.
A searchable knowledge base for Alibaba Cloud Bailian, a platform for using and building applications with AI models. It contains model information, API documentation, application-development guides, multimodal features, and pricing details.
A model-selection guide for Alibaba Cloud Bailian, a platform that provides AI models. It uses current model data to recommend models for a described task and can include calling-code examples.
A workflow for using Alibaba Cloud’s Bailian command-line tool to fine-tune or directly deploy AI models as callable services. It covers text, speech-synthesis, image-generation, and video-generation models.
Use when users need China or Hong Kong securities, funds, fund managers, company financials, valuation, global macro or industry time series, broker research, announcements, financial news, or enterprise-risk data. Triggers include 选股、基金筛选、基金经理、净利润、营收、ROE、估值、 GDP、CPI、核心 PCE、行业产销价、研报、公告、财经新闻、工商与司法风险。.
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…
A workflow for turning a novel or story into a browser-based interactive fiction game, where player choices can change the story. It can include generated images or videos, narration, programmed audio, branching scenes, and saved progress.
One-shot autopilot orchestrator — runs the full spark-video pipeline (screenwriter ↔ director per-scene parallel → render chain-DAG parallel + per-clip review → stitch). User confirms at 4 gates (+ 1 mode gate at start + 1 BGM gate when bgm/ folder detected). Use when the user wants "make me an episode" in one command.
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.
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.
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.
One-shot autopilot orchestrator — runs the full spark-video pipeline (screenwriter ↔ director per-scene parallel → render chain-DAG parallel + per-clip review → stitch). User confirms at 4 gates (+ 1 mode gate at start + 1 BGM gate when bgm/ folder detected). Use when the user wants "make me an episode" in one command.
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.
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.
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end with Aliyun Bailian CLI + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage"…
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.