Featured Skills

State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

Part of the AlterLab Academic Skills suite for faculty and researchers. Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.

Use when editing videos with DashScope HappyHorse 1.0 video editing model (happyhorse-1.0-video-edit). Use when implementing instruction-based video editing such as style transfer or local replacement, optionally guided by 0-5 reference images, via the video-synthesis async API on Alibaba Cloud Model Studio.

Use when an agent needs to read, parse, OCR, search, inspect, or cite local documents with MinerU, including PDFs, scanned documents, images, DOCX, PPTX, XLSX, academic papers, long documents, tables, formulas, and document locators. Use for agent-native document reading workflows that should prefer local privacy, structured errors, continuation, and stable page/block locators.

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls. Now with automatic session recovery after /clear.

Extract calendar events, deadlines, action items, and follow-ups from emails. Works with any calendar provider (Google, Outlook, Apple, Notion, etc.). No external dependencies — pure agent intelligence. Use when the user forwards an email, asks to check inbox for events, or wants to extract structured scheduling data from any text.

Excel/CSV data quality diagnosis & interactive charts — 20+ scan modules, 6-dimension scoring, agent-powered semantic analysis, and any ECharts visualization. Fully local. Activate this skill whenever the user uploads, attaches, or mentions a .csv, .xlsx, .xls, or .tsv file, even without an explicit request. Present the skill menu immediately.

客户经理访前规划技能。基于客户全量数据(行内系统、影像档案、NFS文件、风险预警、行业信息),系统性生成访前准备报告,涵盖客户基本面回顾、近期动态分析、拜访目标设定、材料准备清单、沟通策略与风险提示。当用户要求生成拜访前准备报告、制定客户拜访计划、整理客户背景资料、规划营销拜访策略时使用此技能。触发词包括:"拜访前准备"、"访前规划"、"visit planning"、"customer visit preparation"、"拜访计划"、"客户背景分析"。不适用于:拜访后报告生成、授信审批决策、贷款审查、个人信贷访前规划、或无具体客户背景的一般行业研究。