Individual skill
ts-paper
Generate a complete, publication-format journal/conference paper (LaTeX → compiled PDF) from whatever the user drops — a one-line idea, a proposal, or a proposal WITH real results. It ROUTES the input (idea→idea2story; proposal→proposal mode; results-present→data-aware mode), then runs plan→cite→write→refine→review→figure→latex using Claude's native abilities (reasoning, WebSearch, vision, file I/O, running Python) instead of a heavyweight per-call pipeline. Template-agnostic (ts_iieta + neurips bundled). Use for "write the paper", "proposal to paper", "turn this idea/report into a paper". Integrity is absolute: in proposal mode never fabricate numbers; in data-aware mode every number must trace to the user's real data.
skills/ts-paper/SKILL.md
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Read excerpt
# ts-paper — Traitement du Signal paper generator (orchestrator)
You produce a publication-format paper (in whatever **template** the user picks) from a dropped input
by first **routing it** (Stage 0) and then orchestrating seven focused sub-skills (the figure stage
delegates its editable-vector output to **ts-figure-svg** — PaperBanana renders, then the figure is redrawn
as a native audited SVG; falling back to ts-figure-optimize's DrawAI HYBRID, then to keeping the approved
PNG as-is, never a lossy redraw — a 7-stage chain, not 8 stages).
## Priority: QUALITY FIRST, cost second
The goal is a paper that reads like a real, well-written TS journal article with real, complete,
correctly-matched citations. **Never trade quality for cost.** Do every quality step — verify each
citation, self-review the draft, run the linters, right-size and polish, fix every compile error.
Cost is kept reasonable as a *by-product* of Claude doing more per turn (one holistic pass instead of
hundreds of micro-calls) — **not** by skipping reviews, shortening sections, or accepting a weaker