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Found 96 Skills
Build a section-by-section claim–evidence matrix (`outline/claim_evidence_matrix.md`) from the outline and paper notes. **Trigger**: claim–evidence matrix, evidence mapping, 证据矩阵, 主张-证据对齐. **Use when**: 写 prose 之前需要把每个小节的可检验主张与证据来源显式化（outline + paper notes 已就绪）。 **Skip if**: 缺少 `outline/outline.yml` 或 `papers/paper_notes.jsonl`。 **Network**: none. **Guardrail**: bullets-only（NO PROSE）；每个 claim 至少 2 个证据来源（或显式说明例外）。
Convert text with private context or internal dependencies into generic, unbiased expressions. Use for project decontextualization (handoff, open-source prep), methodology abstraction, cross-team sharing, anonymization. Includes path strings and file/folder names as they appear in text.
Converts PDF pages to images and uses vision analysis to extract content including diagrams, charts, and visual elements. Use for PDFs with rich visual content. Requires pdf2image and poppler-utils.
Guidance for processing financial documents (invoices, receipts, statements) with OCR and text extraction. This skill should be used when tasks involve extracting data from financial PDFs or images, generating summaries (CSV/JSON), or moving/organizing processed documents. Emphasizes data safety practices to prevent catastrophic data loss.
Convert each page of a PDF file into image files; supports custom image formats (PNG/JPG) and resolution; suitable for scenarios such as document processing and image-based archiving
Summarize documents, extract key points, and generate structured outlines
Litigation Analysis Tool - In-depth Judgment Analysis, Generating Appeal/Retrial Decision Support
Markdown 파일을 한글 문서(HWPX)로 변환합니다. pypandoc-hwpx 기반.
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.
Reads images of payment statements and returns structured data. It can be called by other skills or directly by users.
Reads images of withholding tax slips and returns structured data. It can be called by other skills or directly by users.
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.