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Found 152 Skills
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).
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」
Optimize the content of Official Accounts articles in local Markdown files to make them more suitable for Chinese users aged 16-50 to read on the WeChat Official Accounts Platform. It supports optimizing article structure, language expression, and typography, as well as improving opening attractiveness, paragraph rhythm, and end conversion. This skill is applicable when users need to optimize Official Accounts articles, improve Markdown content quality, and enhance article reading experience.
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
Analyze media files (PDFs, images, diagrams) that require interpretation beyond raw text. Extracts specific information or summaries from documents, describes visual content. Use for document analysis, image understanding, diagram interpretation, chart analysis, table extraction, and any media requiring visual or contextual interpretation beyond literal text extraction.