Baoyu Image Gen

Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.

Package an existing talking-head / interview / podcast video by layering timed, designed GRAPHIC OVERLAY cards onto the playing video — titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript. The source video plays in full; the agent designs and writes each card's HTML in conversation, then renders to MP4 via hyperframes. Use when the user asks for graphic overlays, on-screen graphics / lower-thirds / data callouts / kinetic titles on a video, "package / dress up my video", "add overlay cards / graphic cards", or AI-composed graphic packaging of an existing video. NOT for plain subtitles (→ embedded-captions) or building a video from scratch (→ the creation workflows); when unsure overlays-vs-captions, see /hyperframes.

Unified entry point for Stitch design work. Handles prompt enhancement (UI/UX keywords, atmosphere), design system synthesis (.stitch/DESIGN.md), and high-fidelity screen generation/editing via Stitch MCP.

阿里云百炼 / Aliyun Bailian / DashScope 资源管理与 `bl` CLI hub： 应用调用（bl app）、应用记忆、知识库检索、模型目录/模型列表、用量/额度/配额、免费额度、 工作空间、MCP 市场、pipeline、文件上传、console API、登录鉴权与配置、 Agent skill 安装/列表/更新/卸载（bl skill add|list|update|remove，百炼 skill registry）。 用户点名百炼 / DashScope / `bl`，或继续既有 `bl` 工作流时直接使用。 共享协议（consent / 版本预检 / 鉴权 / 错误上报）在 bailian-protocol；官方安装 `npx skills add modelstudioai/cli --all -g`。 家族路由：生图/生视频/配音/语音合成/转写 → bailian-gen；精调/微调/训练/数据集 → bailian-finetune； agents.yaml 托管 Agent → bailian-managed-agent。 不要用于普通问答、编程、写作、翻译、摘要、泛搜索，或图片理解等宿主自己能做的任务（普通问答、编程、写作、翻译、摘要、泛搜索不触发）。 未命名用量/额度问题：先问用户使用哪个产品，再运行 `bl usage` / `bl quota` 查询。

Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.

Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs.