Featured Skills

Web scraping with Scrapling - HTTP fetching, stealth browser automation, Cloudflare bypass, and spider crawling via CLI and Python.

Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.

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.

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Use when writing new React components or Next.js pages, implementing data fetching (client or server-side), or reviewing code for performance issues.

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, 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, WHY HOW WHAT papers, 3W literature scan, 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, 三段式文獻掃描, 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, 심층 연구, 문헌 조사, 체계적 문헌고찰, 메타분석, 사실 확인, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘.

四柱八字命理分析。通过交互式步骤收集出生信息（姓名、曾用名、阳历/农历生日、时辰、性别、出生地）， 排出四柱八字，参照经典命理典籍（穷通宝典、三命通会、滴天髓、渊海子平、子平真诠等）进行专业分析。 Use this skill whenever the user asks for 八字、四柱、命理、算命、Bazi、fortune telling、 birth chart analysis, or wants to know about their 八字命盘、运势、大运、流年. Triggers: "算八字", "看八字", "批八字", "排八字", "四柱", "命盘", "算命", "帮我看看八字", "我想算八字", "分析八字", "排盘", "bazi", "bazi analysis", "fortune telling", "birth chart", "算一卦", "看运势", "命运分析". 即使只是提到"算命"、"八字"而没有明确说要用skill，也应该使用此skill。

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.

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。

Token-optimized prompt injection defense. 70% token reduction via tiered pattern loading, 90% reduction for repeated requests via hash cache. 500+ patterns, 11 SHIELD categories, 10 language support.