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Found 594 Skills
Read GitHub repos the RIGHT way - via gitmcp.io instead of raw scraping. Why this beats web search: (1) Semantic search across docs, not just keyword matching, (2) Smart code navigation with accurate file structure - zero hallucinations on repo layout, (3) Proper markdown output optimized for LLMs, not raw HTML/JSON garbage, (4) Aggregates README + /docs + code in one clean interface, (5) Respects rate limits and robots.txt. Stop pasting raw GitHub URLs - use this instead.
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.
Domain-agnostic strategic decision analysis and wargaming. Auto-classifies scenario complexity: simple decisions get structured analysis (pre-mortem, ACH, decision trees); complex or adversarial scenarios get full multi-turn interactive wargames with AI-controlled actors, Monte Carlo outcome exploration, and structured adjudication. Generates visual dashboards and saves markdown decision journals. Use for business strategy, crisis management, competitive analysis, geopolitical scenarios, personal decisions, or any consequential choice under uncertainty. NOT for simple pros/cons lists, non-strategic decisions, or academic debate.
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.
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.
This skill guides creating autonomous agents for Claude Code plugins using markdown files with YAML frontmatter. Use when building new agents, designing agent system prompts, or configuring agent behavior.
Web content extraction via Jina AI Reader API. Three modes: read (URL to markdown), search (web search + full content), ground (fact-checking). Extracts clean content without exposing server IP.
Export Feishu documents or knowledge base documents to Markdown files, or export them to formats such as PDF/Word/Excel (asynchronous tasks). It also supports importing local DOCX/XLSX files into Feishu cloud documents. It is triggered when users request "export document", "convert to Markdown", "save as md", "export PDF", "export Word", "convert docx to Feishu", "import docx". Markdown is stored in the /tmp directory as an intermediate format.
Comprehensive tool for interacting with rednote (xiaohongshu,小红书) platform. This skill enables users to search for posts by keyword, extract content from specific notes in markdown format, and perform interaction actions like liking, commenting, collecting, following, and publishing. Use this when users need to engage with content from xiaohongshu.com.