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Found 152 Skills
Interpret medical lab/test reports (blood panels, urine, liver/kidney function, thyroid, tumor markers, coagulation, cardiac enzymes, hormones, etc.) uploaded as images, PDFs, or text. Trigger whenever the user uploads a lab report, medical test result, or clinical diagnostic sheet — or says things like "help me read this report", "what do these results mean", "化验单", "检验报告", "帮我看看这个报告", "blood test results", "lab results", "体检报告", "检查报告单", "血常规", "尿常规", "肝功能", "肾功能", "甲功", "凝血", "interpret my labs", "are these results normal", "这些指标正常吗". Also trigger when the user uploads ANY medical-looking document with tables of values, reference ranges, or clinical test names — even if they don't explicitly ask for interpretation. Do NOT trigger for symptom triage (use emergency-triage instead), drug interaction queries, or general medical Q&A without an actual report to interpret.
Extract methodologies from documents or examples to create executable skills
LaTeX Assistant for Chinese Academic Theses (PhD/Master's). Fields: Deep Learning, Time Series, Industrial Control. Trigger Words (call any module independently): - "compile", "compile", "xelatex" → Compilation Module - "structure", "structure", "map" → Structure Mapping Module - "format", "format", "GB/T", "national standard" → National Standard Format Checking Module - "expression", "expression", "polish", "academic expression" → Academic Expression Module - "logic", "coherence", "logic", "cohesion", "methodology", "methodology" → Logical Cohesion & Methodology Depth Module - "long sentence", "long sentence", "split" → Long & Complex Sentence Analysis Module - "bib", "bibliography", "bibliography" → Bibliography Module - "template", "template", "thuthesis", "pkuthss" → Template Detection Module - "deai", "de-AI editing", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "title", "title optimization", "generate title" → Title Optimization Module
Use Desktop Commander MCP (typically tools like `mcp__desktop-commander__*`) to manage local files and long-running processes: read/write/search files, apply precise edits, work with Excel/PDFs, run terminal commands and interact with REPLs (Python/Node/SSH/DB), inspect/terminate processes, and review tool call history. Use when the task requires doing real work on the machine (editing code/configs, searching a repo, analyzing CSV/Excel, generating/modifying PDFs, running commands with streaming output).
Workspace guide to introduce OpenWork and onboard new users.
Format tender/bidding document covers from Markdown to HTML-styled Markdown. Use when converting Chinese document covers (招标文件/投标文件/报价文件/商务文件/技术文件/技术协议/采购文件) to formatted output with Chinese fonts (黑体/宋体), pt-based spacing, center alignment, and proper layout for A4 printing.
Markdown 파일을 한글 문서(HWPX)로 변환합니다. pypandoc-hwpx 기반.
Reads images of payment statements and returns structured data. It can be called by other skills or directly by users.
Create GitHub Issue from spec documents — Auto-generate structured Feature Issues from specifications. Analyzes spec documents (requirement.md, design.md, tasks.md) in .specs/{feature}/ and generates a structured Feature Issue via gh issue create. Best used with specs created by spec-generator. English triggers: - "Create issue from spec", "Register spec as issue" - "Convert spec to GitHub issue", "Publish spec to issue" - After spec-generator: "Turn this into an issue" 日本語トリガー: - 「仕様書をIssueにして」「Issueに登録して」「specからIssue作成」 - 「仕様書からIssue生成」「specをIssueに変換」 - spec-generator完了後に「これをIssueにして」「Issueにして」
Formats text according to specified style guidelines. A clean example skill with no security issues.
In-depth article analysis, interpretation and fact-checking. Used to extract core viewpoints, examine logic, evaluate value and analyze writing skills.
Extract text, tables, and images from PDFs. Use when: extracting data from reports; converting PDF tables to CSV; pulling images from presentations; processing research papers; batch converting PDFs to text