Documents skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

html-over-markdown

Generate rich, self-contained HTML documents instead of Markdown when output needs visual hierarchy, diagrams, or interactivity. Use for specs, implementation plans, side-by-side design comparisons, PR writeups and code explainers, research and status and incident reports, slide decks, SVG flowcharts, and throwaway editors like triage boards, feature-flag editors, and prompt tuners. Prefer this skill whenever the user asks for a report, plan, or explainer they'll actually want to read — even if they don't explicitly say "HTML".

132 repo starsObserved in 1 repos
Documents
GitHub

journal_formatting

Apply journal-specific formatting rules to transform a manuscript from Markdown

132 repo starsObserved in 1 repos
Documents
GitHub

Jupyter Notebook Work

Create, edit, or refactor `.ipynb` notebooks for experiments, analysis, and tutorials while preserving valid notebook structure.

132 repo starsObserved in 1 repos
Documents
GitHub

mat-synthesis-extraction

Extract structured synthesis procedures from a folder of PDFs using the LeMat-Synth GeneralSynthesisOntology schema, producing one JSON file per paper with per-material synthesis records.

132 repo starsObserved in 1 repos
Documents
GitHub

mat-xrd-digitizer

Digitize an image of an XRD plot into a numeric .xy data file by extracting visual peaks.

132 repo starsObserved in 1 repos
Documents
GitHub

neqsim-document-intelligence-extraction

Classify mixed engineering documents and images, route native text/table, OCR, and vision extraction, and produce source-traceable evidence packages with confidence and human-review gates. USE WHEN: a NeqSim task receives PDFs, scans, Word/Excel files, drawings, charts, photographs, or multiple conflicting engineering sources.

132 repo starsObserved in 1 repos
Documents
GitHub

neqsim-pdf-ocr

OCR-based text extraction from PDFs (scanned documents, P&IDs, vendor datasheets, engineering drawings) using OCRmyPDF, Tesseract, and pytesseract. USE WHEN: a PDF has no embedded text layer (scanned), pymupdf returns empty/low text, or the user explicitly asks to extract text/tags from a P&ID, mechanical drawing, or paper-original datasheet. Pairs with neqsim-technical-document-reading (which handles text-based PDFs and visual analysis via view_image).

132 repo starsObserved in 1 repos
Documents
GitHub

neqsim-process-extraction

Extracts process simulation data from unstructured sources (text, tables, PFDs, data sheets, STID/E3D line lists) and converts it to NeqSim JSON builder format or PipingRouteBuilder route models. USE WHEN: a user provides a process description, PFD, operating data, line-list table, or design document and wants a running NeqSim simulation. Covers equipment mapping, stream wiring, route hydraulics, unit conversion, composition normalization, and confidence scoring.

132 repo starsObserved in 1 repos
Documents
GitHub

neqsim-professional-reporting

Engineering deliverable quality — results.json schema, figure→discussion→linked_results traceability, evidence matrices, assumptions/gaps registers, citation conventions, KaTeX math formatting, units consistency, executive-summary structure, AACE class declaration. USE WHEN: producing a task report, building a notebook deliverable, or finalizing any engineering output that needs to look like it came from a senior engineer. Consolidates the rules scattered across AGENTS.md and copilot-instructions.md.

132 repo starsObserved in 1 repos
Documents
GitHub