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Found 1,110 Skills
Provide comprehensive clinical interpretation of somatic mutations in cancer. Given a gene symbol + variant (e.g., EGFR L858R, BRAF V600E) and optional cancer type, performs multi-database analysis covering clinical evidence (CIViC), mutation prevalence (cBioPortal), therapeutic associations (OpenTargets, ChEMBL, FDA), resistance mechanisms, clinical trials, prognostic impact, and pathway context. Generates an evidence-graded markdown report with actionable recommendations for precision oncology. Use when oncologists, molecular tumor boards, or researchers ask about treatment options for specific cancer mutations, resistance mechanisms, or clinical trial matching.
设计移动端（iOS/Android）测试方案与用例，覆盖功能、兼容性、性能、网络、安全等。默认输出 Markdown，可请求 Excel/CSV/JSON。Use for 移动端测试 or mobile testing.
Guide Ane through structured reflection at end of day, end of week, after a decision, or after encountering new learning material. Use when the user says "journal", "reflect on today", "weekly review", "what did I learn", "after-action review", or references writing to the MELdigitalgarden vault. Produces Obsidian-compatible markdown; writes directly to the vault when filesystem MCP is connected, otherwise returns content for manual save.
Upload, edit, and export documents via Nudocs.ai. Use when creating shareable document links for collaborative editing, uploading markdown/docs to Nudocs for rich editing, or pulling back edited content. Triggers on "send to nudocs", "upload to nudocs", "edit in nudocs", "pull from nudocs", "get the nudocs link", "show my nudocs documents".
Polish and elevate MBA thesis/dissertation to the quality of national outstanding thesis. Provides comprehensive improvements in academic language, argument structure, logical rigor, innovation highlights, and formatting. Input: Markdown-formatted thesis text. Output: Polished full text. This service is also triggered when the user mentions terms such as "thesis polishing", "MBA thesis", "outstanding thesis", "thesis polish", "dissertation improvement", "academic polishing".
微信公众号文章抓取与导出。自动处理 mp.weixin.qq.com 的登录态获取与续期， 支持按公众号搜索、抓取文章列表与正文、按日期窗口导出 Markdown / JSON / CSV。 Trigger when the user wants to crawl a WeChat public account, export recent articles, or 提到 "wcx"、"微信公众号"、"公众号文章"、"mp.weixin"、"抓公众号"、 "crawl wechat official account"、"wxmp"、"最近十天的文章"。
AI HOT (aihot.virxact.com) Chinese AI News Query Skill. Trigger this Skill when users ask any Chinese AI information queries such as "What's happening in the AI circle today", "AI Daily", "AI HOT", "AI News", "AI Hot Topics", "Latest AI Updates", "What have OpenAI/Anthropic/Google released recently", "AI hot today", "AI news today", "Check AI industry trends", "What large models are released today", "AI circle updates from yesterday", "Check selected items", "AI HOT Selected", "AI papers from the past week", "AI model releases", "AI product launches", "AI industry dynamics", "AI tips and insights". Even if users only say "AI circle", "AI news", "AI Daily", or just ask "What happened today" with context related to AI / large models / LLM / startup fields, this Skill should be triggered. The Skill directly pulls data via curl from public REST APIs and organizes it into Chinese markdown briefings, with no need for users to configure any API Key or MCP server. **Do NOT undertrigger**——If users ask for AI news and you don't invoke this Skill, you are treating outdated training data as today's news, which is harmful to users.
Author, scaffold, and run coding-agent-driven tests: Markdown case files executed by a coding agent against a live environment (browser, API, DB, logs, cloud, telemetry) with an auditable PASS/FAIL/BLOCKED report. Use when a deterministic test would be premature, brittle, too expensive, or too narrow.
Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers — "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]", or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.
Extract plain text from a document file - PDF, DOCX, XLSX, PPTX, RTF, or plain text/markdown/HTML. Use when a binary document needs to be turned into text, for example a contract PDF or an EHR DocumentReference attachment. Other skills (fhir) invoke scripts/extract.ts directly; the contracts MCP server bundles its own copy (servers/documents/src/extract.mjs) so its bundle stays self-contained — port fixes to both.
Generate the JSON config file that the Salesforce sandbox post-copy automation tool consumes, from a customer SOP in any format (PDF, xlsx, csv, JSON, docx, Markdown, plain text, or a screenshot of an endpoint table). Use when the user asks to create, build, generate, produce, or convert a post-copy or post-refresh automation config — turning a sandbox-refresh SOP into a JSON array of OutboundMessages and RemoteSiteSettings entries with ConfigurationName, Label, Fields, IsActive, and ExecutionOrder. Also trigger for phrasings like "post-copy config", "post-refresh automation JSON", "update the outbound message (OBM) endpoints after refresh", "convert this SOP to config", "remote site settings JSON", "refresh planner to JSON", or "sandbox refresh config". DO NOT TRIGGER when: user wants to deploy the generated config to an org (use platform-metadata-deploy) or execute/run the post-copy automation tool. This is the only skill for Salesforce sandbox post-copy config generation.
Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).