Scrapes posts from a Facebook group given a group URL, sort order, and desired count — returns structured post metadata including post_id, permalink, author, timestamp, body text, images/videos, reaction counts, reaction type breakdown, comment count, and share count. Use when: user wants to scrape/extract Facebook group posts, collect FB group content, harvest group data, get posts from a Facebook group, monitor Facebook group activity, bulk export group posts, facebook groups scraping, facebook-groups-scrape-posts, fetch FB group feed.

本科与硕士学位论文全流程撰写辅助。支持大纲审核（理工科/文科）、结构仿写（通用/实验/绪论/摘要；文科含文献综述、案例分析、对策建议、文科绪论与摘要）、参考文献获取、融合、润色（含实验章节/文科章节）、缩写、扩写、防 AIGC、中英互译、结构化信息提取。当用户提到论文撰写、大纲审核、论文章节仿写、参考文献、论文润色、防 AIGC、论文翻译、文科论文、文献综述、对策建议时使用。

Use xiaohongshu-cli for ALL Xiaohongshu (Little Red Book, 小红书) operations — searching notes, reading content, browsing users, liking, collecting, commenting, following, and posting. Invoke whenever the user requests any Xiaohongshu interaction.

Intelligent file write error handler: diagnoses permissions, disk space, path length, file locks before retrying. Use when you encounter 'Error writing file', 'Permission denied', 'Access denied', 'No space left', or related file write failures.

Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.

Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).

Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Also owns explicit HypoGeniC-style or automated LLM-driven hypothesis generation/testing requests inside this single skill. For open-ended ideation use scientific-brainstorming.

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.

Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.

PPT 制作全链路：内容分析 → 分页规划 → 低保真 MD → imagegen 精美图。 架构猫写低保真 MD（ASCII art 结构图 + 视觉指引），imagegen 猫逐页出精美图。 Use when: 做 PPT、做演示文稿、做 slide、帮朋友做 PPT、画架构图、画技术蓝图。 Not for: 纯代码开发（用 worktree/tdd）、纯文档写作（直接写）。 Output: 低保真 MD + AI 原生精美图（raster PNG）。

不可逆事故发生后的应急响应：情绪急救 → 止损 → 补偿性劳动 → 教训沉淀。 Use when: 犯了不可挽回的错误、造成了人类伙伴的情绪波动、需要危机处理。 Not for: 可撤销的小失误、日常 bug fix（用 debugging）、预防性确认（用 shared-rules 铁律）。 Output: 情绪修复 + 止损行动 + 教训沉淀（lessons-learned / shared-rules）。

标准引导流程设计 SOP：场景识别 → YAML 编排 → 标签标注 → 注册发现 → 测试验证。 Use when: 新建引导流程、添加场景引导、维护 Guide Catalog、编写引导 YAML。 Not for: 使用引导（用户侧）、Guide Engine 代码实现（用 tdd）、视觉设计（用 pencil-design）。 Output: Flow YAML + tag-manifest 更新 + registry 注册 + CI 校验通过。

多猫专家辩论团：在现有协作习惯上加一层轻量编排 + WHY 链标准 + 交付链。 Use when: 用户明确要求 expert panel、专家辩论、多猫分析或三猫讨论。 Not for: 普通“帮我分析一下”、单猫能搞定的问题、代码实现、bug fix、日常聊天。 Output: 洞察卡片(rich block) + 语音总结 + 正式报告(DOCX/PDF)。

单人或多猫的创意探索、独立思考、讨论收敛。 Use when: brainstorm、多猫独立思考、讨论结束需要收敛、方向性问题需要多视角。 Not for: 已有明确 spec 直接写代码、单猫执行已定方案。 Output: 收敛报告（共识/分歧/行动项）+ 三件套沉淀检查。

Use when you want to retrieve semi-quantitative protein expression and spatial localisation data from the Human Protein Atlas (HPA).

Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API. Use when the user asks about non-coding variant effects, pathogenicity, clinical significance, disease associations, functional effects, gene expression changes, splicing disruption, or regulatory effects in promoters and enhancers. Also use for resolving biological terms to tissue/cell-type ontologies (UBERON/CL) or analyzing variants in chr:pos:ref>alt format.

Install a .NET SDK locally for safe preview testing, specific-version pinning, or reproducible team setups — without modifying the system-wide installation. USE FOR: trying .NET previews safely, testing specific SDK versions, installing MAUI or other workloads on a preview, updating or replacing an existing local SDK, creating reproducible team/CI install scripts, configuring global.json paths. DO NOT USE FOR: system-wide SDK installs, .NET hosts older than 10, runtime-only installs, or projects not using SDK-style commands.

Add or modify a feature in the Mistral Vibe Python CLI while following the app architecture ADRs. Use when working in vibe/core, vibe/cli, vibe/acp, vibe/setup, built-in tools, config, sessions, skills, hooks, MCP, connectors, or other Vibe feature code.