Individual skill
ts-paper-latex
Stage 7 (final assemble + compile) of the ts-paper suite. Assemble drafted LaTeX section bodies + refs.bib + blueprint into a compilable paper in the active TEMPLATE and compile it to PDF. Copies the template's .sty/.cls + assets, runs the deterministic template-driven post-processes (caption position, merge adjacent \cite for numeric styles, canonical headings from the spec, keyword formatting), and compiles once per call; the agent drives a bounded error-fix loop around it. Use to build/compile the final PDF.
skills/ts-paper-latex/SKILL.md
Source commit c17149def034bc777462de612926c8e3b6d01b8c
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- Aug 22, 2026
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- MIT
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SKILL.mdcore · 7,465 bytesSKILL.mdcore · 7,465 bytesassets/iieta_logo.pngasset · 45,991 bytesassets/ts_iieta.styasset · 8,035 bytesscripts/assemble_paper.pyruns · 15,685 bytes
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# ts-paper-latex — assemble & compile the paper PDF (template-driven)
Turn the finished `sections/<id>.tex` + `refs.bib` + `blueprint.json` into a compiled
`main.pdf`. **This stage never authors or alters content** — no renaming methods/datasets, no
filling result numbers (proposal = blank cells stay blank). It is format + assembly + compile only.
**Template-driven:** `assemble_paper.py` reads `template.json` from the workdir and threads it
through everything — section order + headings, table/figure **caption position**, keyword **cap**,
whether to **merge `\cite`** (numeric templates only), and the **preamble** (the template's own
`main.tex.tmpl`, filled by safe `@@token@@` substitution) + which **`.sty`/`.cls` + assets** to copy.
The default template is `ts_iieta` (two-column IIETA); `neurips` (single-column author-year) is also
bundled and compiles through the *same* script — nothing here is hardcoded to TS. If no `template.json`
is in the workdir it falls back to bundled `ts_iieta` (backward-compatible).