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Found 819 Skills
Upload and share files via temporary public URLs using the Vanish CLI (vanish-cli). Use when the user wants to upload files, share screenshots or images, get a public URL for a file, manage temporary file uploads, or embed images in markdown/PRs. Triggers on file sharing, temporary links, screenshot uploads, and vanish commands.
Convert mixed-format datasheets and hardware reference files (PDF, DOCX, HTML, Markdown, XLSX/CSV) into normalized Markdown knowledge files for AI coding agents. Use when a user asks to ingest datasheets, register maps, pinout/timing sheets, revision histories, or internal hardware notes before searching datasheet content or generating code. Produce RAG-ready section chunks, anchors, image references, and metadata under .context/knowledge.
Packages generated wiki Markdown into a VitePress static site with dark theme, dark-mode Mermaid diagrams with click-to-zoom, and production build output. Use when the user wants to create a browsable website from generated wiki pages.
This skill should be used when users need to search the web for information, find current content, look up news articles, search for images, or find videos. It uses DuckDuckGo's search API to return results in clean, formatted output (text, markdown, or JSON). Use for research, fact-checking, finding recent information, or gathering web resources.
AI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks clinical trials from ClinicalTrials.gov using multi-dimensional matching across molecular eligibility, clinical criteria, drug-biomarker alignment, evidence strength, and geographic feasibility. Produces a quantitative Trial Match Score (0-100) per trial with tiered recommendations and a comprehensive markdown report. Use when oncologists, molecular tumor boards, or patients ask about clinical trial options for specific cancer types, biomarker profiles, or post-progression scenarios.
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.
한글(HWP/HWPX) 문서를 다양한 포맷(Text, HTML, ODT, PDF)으로 변환하고, Markdown/HTML을 HWPX로 생성하는 작업을 도와줍니다. LLM/RAG 파이프라인을 위한 문서 처리, 청킹, LangChain 연동을 지원합니다.
Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.
Posts content and articles to X (Twitter). Supports regular posts with images/videos and X Articles (long-form Markdown). Uses real Chrome with CDP to bypass anti-automation. Use when user asks to "post to X", "tweet", "publish to Twitter", or "share on X".
WeChat Official Account Article Aggregator. Batch fetch the latest article list of specified WeChat Official Account authors via the mptext.top API, download article content and parse it into Markdown/HTML/plain text formats. It supports fetching by official account name or fakeid, and comes with 8 popular AI tech official accounts pre-configured. Applicable scenarios: fetch the latest articles of specified official accounts, batch crawl content from multiple authors, aggregated reading of official account articles, technical information collection. Keywords: official account article acquisition, WeChat article crawling, official account aggregation, article collection, mptext API.
Fetch and parse WeChat Official Account articles. Extract titles, authors, official account names, main content, images and metadata from WeChat article links. It is used when users provide WeChat article links (mp.weixin.qq.com/s/...) and want to read, extract, download or convert article content. Applicable scenarios include obtaining/downloading WeChat articles, extracting text or metadata from WeChat articles, converting WeChat articles to Markdown, and saving WeChat articles along with images locally. Keywords: WeChat Official Account, article acquisition, article scraping, article download.
Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.