Total 52,958 skills, Document Processing has 766 skills
Showing 12 of 766 skills
Verify in-text citations, references, author identities, year disambiguation, DOIs, and specified formatting rules; does not assess whether sources support claims. Use when the user asks for "check citation format", "verify in-text citations and references", "check authors with the same surname", "conduct a citation audit", or requests the rw-citation-audit workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Surface and classify all open questions, unresolved contradictions, stale claims, and knowledge gaps from existing memory. Use this when the user wants to see what's still open, what needs attention, what's unresolved, or what still needs research or ingest. Does not classify incomplete goals as memory gaps. Not for answering questions, fixing issues, or adding new material; use /loam::querying-memory, /loam::linting-memory, /loam::amending-memory, /loam::adding-to-memory, or /loam::learning-from-session.
Inspect an existing memory corpus (wiki substrate) and align it to this repo's Obsidian-friendly note-graph conventions. Use this when the user wants to import, normalize, retrofit, or clean up existing memory, notes folder, vault, docs tree, or mixed markdown knowledge base. In monorepos, also use it to align relevant AGENTS.md and CLAUDE.md files. Excludes goals/ from normalization. Not for routine wiki maintenance; use /loam::linting-memory for that.
Correct or update existing wiki content when newer evidence shows the wiki is wrong, stale, incomplete, or contradicted. Use this when the agent discovers the wiki says X but we now know Y, when code or real-world changes invalidate a wiki claim, or when the user asks to fix or amend the wiki. Not for adding new sources, routine learnings capture, structural normalization, or health checks; use /loam::adding-to-memory, /loam::learning-from-session, /loam::normalizing-memory, or /loam::linting-memory.
Download PDFs (when available) and extract plain text to support full-text evidence, writing `papers/fulltext_index.jsonl` and `papers/fulltext/*.txt`. **Trigger**: PDF download, fulltext, extract text, papers/pdfs, 全文抽取, 下载PDF. **Use when**: `queries.md` 设置 `evidence_mode: fulltext`（或你明确需要全文证据）并希望为 paper notes/claims 提供更强 evidence。 **Skip if**: `evidence_mode: abstract`（默认）；或你不希望进行下载/抽取（成本/权限/时间）。 **Network**: fulltext 下载通常需要网络（除非你手工提供 PDF 缓存在 `papers/pdfs/`）。 **Guardrail**: 缓存下载到 `papers/pdfs/`；默认不覆盖已有抽取文本（除非显式要求重抽）。
Comprehensive patterns and techniques for removing AI-generated verbosity and slop
AI-enhanced LaTeX Example Intelligent Generator, achieving organic integration of AI and hard-coding. AI handles "semantic understanding" (analyzing chapter themes, inferring resource relevance, generating coherent narratives), while hard-coding is responsible for "structure protection" (format validation, hash verification, access control). It applies to scenarios where users request "filling example content/generating examples/supplementing LaTeX examples".
Translate Doc-Smith generated documentation into multiple languages. Use this skill when the user requests document translation, localization, or multi-language support. Supports batch translation of documents and images.
智能迁移NSFC LaTeX标书到新版模板，基于五阶段工作流（分析→映射→规划→执行→验证），自动处理结构变化、内容重组、引用更新；支持AI驱动语义匹配与启发式回退，并提供 runs 输出隔离（--runs-root）与一键迁移脚本（migrate.sh）。
Spreadsheet Creation, Editing and Analysis Toolkit
Process and extract information from PDF documents. Use this skill when the user asks to read, analyze, or extract data from PDF files.
This skill should be used when the user asks to "解析PDF", "解读文档", "分析PDF文件", "PDF解读", "extract content from PDF", "analyze PDF document", "parse academic paper", or provides a PDF file path for content extraction and analysis. Provides comprehensive PDF document analysis and content extraction capabilities for WeChat content creation.