Total 50,394 skills, Document Processing has 738 skills
Showing 12 of 738 skills
Format and restructure markdown documents so they publish cleanly to Confluence via `orbit confluence publish`. Use this skill whenever the user wants to prepare docs for Confluence, fix markdown formatting for wiki publishing, add frontmatter to docs, restructure a docs directory, or ensure markdown files follow Confluence-friendly conventions. Also trigger when the user says things like 'format these docs', 'prepare docs for Confluence', 'fix the frontmatter', 'restructure the docs folder', 'make these docs publishable', 'clean up the markdown', or any task involving making markdown Confluence-ready — even if they just say 'format this' or 'prep for wiki' without mentioning Confluence explicitly. If the user has a docs/ directory and mentions publishing or syncing, this skill applies.
Use this skill ONLY AFTER a teaching site is feature-complete and stable, when the user wants to produce a printable / archivable / shareable version — typically a PDF ebook with cover, page numbers, table of contents, or a DOCX for editorial review. Triggers on phrases like "做電子書", "產 PDF", "ebook", "PDF ebook", "印給學員", "課程講義 PDF", "course handbook", "DOCX deliverable", "book-style layout", "build:ebook". Do NOT invoke during early site development — this is a downstream consumer that breaks if the site changes underneath. The skill produces PDF via Playwright `page.pdf()` and DOCX via pandoc, both from a single composed markdown source.
Debug HWP layout, dump document IR, compare versions, extract thumbnails, and unlock read-only HWPs with the upstream rhwp Rust CLI (export-svg/dump/dump-pages/ir-diff/thumbnail/convert).
Remove watermarks from a PDF with the Pilio developer API. Use when the user wants PDF watermark removal, editable PDF cleanup, AI PDF page reconstruction, or automated PDF watermark processing through Pilio.
A skill with an orphan reference file. Do NOT use for real work.
A valid skill used for testing frontmatter validation. Do NOT use for production workflows.
Parse ebooks, extract concepts and entities with citation traceability, classify by type/layer, and synthesize across book collections.
Create and manipulate PDF files programmatically. Use when the user needs to generate PDFs, fill PDF forms, extract PDF content, add watermarks/overlays, or merge documents. Supports both template-based generation (form filling, overlays) and from-scratch creation. Keywords: PDF, document, form, fillable, merge, watermark, extract, text, report.
Automate documentation updates when API endpoints, functions, or architecture change. Detects code changes that require doc updates, generates API reference from FastAPI routers, updates architecture diagrams, and syncs between internal and external docs.
POST-GATE TOOL. Refine verbose content by eliminating redundancy, trimming word count, and strengthening lesson connections. Use ONLY to fix Gate 4 failures.
Logic coherence pass for per-H3 section files: enforce a clear paragraph-1 thesis and surface paragraph-island risks (connector stats are diagnostic, not a quota) before merging. **Trigger**: logic polisher, section logic, thesis statement, connectors, 段落逻辑, 连接词, 论证主线, 润色逻辑. **Use when**: `sections/S*.md` exist but read like paragraph islands; you want a targeted, debuggable self-loop before `section-merger`. **Skip if**: sections are missing/thin (fix `subsection-writer` first) or evidence packs/briefs are scaffolded (fix C3/C4 first). **Network**: none. **Guardrail**: do not add new citations; do not invent facts; do not change citation keys; do not move citations across subsections.
Create, edit, and manipulate Word documents programmatically using python-docx