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Render an existing Markdown note, report, or summary directly to a stable PDF without rewriting it as LaTeX; use when the requested source is Markdown and the deliverable is PDF.
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Basado en la clasificación ocupacional SOC
| name | markdown-pdf-export |
| description | Render an existing Markdown note, report, or summary directly to a stable PDF without rewriting it as LaTeX; use when the requested source is Markdown and the deliverable is PDF. |
| license | project-local |
| compatibility | local |
| allowed-tools | render_markdown_pdf |
Use the deterministic Markdown-to-HTML-to-PDF path for format conversion while preserving the authored Markdown source.
Read the requested Markdown file, confirm the output path, and call render_markdown_pdf once. Leave font_family at Microsoft YaHei for Chinese or mixed Chinese-English reports unless the user requests the portable Noto fallback. Return both source and PDF paths.
render_markdown_pdfIf the user asks to turn an existing .md or .markdown file into PDF, preserve its wording, headings, tables, links, images, code blocks, and formulas. Do not create a .tex replacement and do not invoke compile_text unless the user explicitly asks for LaTeX or a journal template requires TeX.
Use render_markdown_pdf with the existing Markdown path. Leave output_path empty to create a sibling PDF with the same stem, or provide an explicit workspace-relative .pdf path when requested. The tool uses Pandoc embedded HTML5 with MathML, then headless Chrome PDF printing.
Check pdf_path, page_count, font_resolved_family, font_fallback_used, and embedded_pdf_fonts. A successful command is insufficient if no valid PDF artifact is returned. If Microsoft YaHei is unavailable, report the explicit Noto Sans CJK SC fallback rather than silently changing typography.
Return the unchanged Markdown source path, generated PDF path, page count, actual resolved font, whether fallback occurred, and any renderer error. Do not claim completion from an HTML intermediary alone.
render_markdown_pdfcompile_text and the relevant manuscript/template skill.Proposal-first scientific writing pipeline. Three modes (compose/revise/hybrid) with four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs.
Use this skill for managed MLFF molecular dynamics, restart-safe trajectory continuation, ensemble selection, and trajectory-health analysis when mlff_md is available.
Use only after a DPDispatcher-backed managed execution tool returns a failure with receipt/context fields, an ambiguous transport error, or evidence of a possible orphan job. Do not use for a pending synchronous call or ordinary success.
Use this skill before remote_submission or remote_submission_batch to build and verify canonical stage directories for registered DPDispatcher tasks, including deterministic MLFF SP/relax, MD, and NEB input layouts.
Use this skill for managed MLFF NEB optimization after a complete locally interpolated fixed-image path has been validated.
Use this skill for MLFF single-point screening, ranking, and geometry relaxation when choosing among enabled MACE, FairChem UMA, MatterSim, or ORB-v3 backends.