A command-line manager for Alibaba Cloud Bailian knowledge bases, which are collections of documents prepared for search and question answering. It handles the stored documents, search services, text chunks, and data-centre files rather than everyday searches.
A command-line hub for Alibaba Cloud Bailian and DashScope resources. It covers applications, models, knowledge bases, usage, authentication, files, MCP services, pipelines, and installing or updating related agent skills.
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 command-line interface for creating, inspecting, connecting to, pausing, resuming, and deleting Alibaba Cloud Bailian sandbox environments. A sandbox is an isolated workspace for running tools or code.
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.
A financial research skill for China and Hong Kong securities, funds, company finances, economic indicators, research reports, announcements, news, and business-risk data. It returns data and neutral analysis rather than placing trades or recommending investments.
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"…
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is design-taste-frontend (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: