
Spark-To-Paper-Skills
Spark-To-Paper-Skills / ts-figure-optimize
1.1kThe suite's SOLE figure vectorizer: turn ONE raster scientific figure (a PNG/JPG, e.g. a gpt-image-2 schematic) into an editable, publication-ready figure via DrawAI's **key-free HYBRID** — local perception (SAM3 region detection + PaddleOCR + Box-IR layout, no account) then a deterministic hybrid b…
Spark-To-Paper-Skills / ts-figure-svg
1.1kPaperBanana+ — turn a paper's figure brief into a native, editable, publication-grade SVG. Stage 1 runs the OFFICIAL PaperBanana (dwzhu-pku/PaperBanana, pulled by `setup_paperbanana.py`, its own Retriever→Planner→Stylist→Visualizer→Critic pipeline) to produce candidate PNGs.
Spark-To-Paper-Skills / ts-idea2story
1.1kTurn a raw research idea into a compelling, well-grounded research STORY (an 8-field structured proposal) ready to feed the ts-paper pipeline.
Spark-To-Paper-Skills / ts-kg-build
1.1kBuild a reusable research-PATTERN knowledge graph from a paper corpus, so ts-idea2story can recall prior problem→solution→story patterns.
Spark-To-Paper-Skills / ts-paper
1.1kGenerate 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.
Spark-To-Paper-Skills / ts-paper-cite
1.1kStage 2 of the ts-paper suite. Build a complete, REAL refs.bib for a Traitement du Signal paper — using the user's provided references first and Claude's native WebSearch/WebFetch only for genuine gaps.
Spark-To-Paper-Skills / ts-paper-data
1.1kDATA-AWARE mode for the ts-paper suite. Activated by the orchestrator's router ONLY when the input ships REAL measured results (results_mode == "data_aware"); the proposal/no-numbers path is unchanged.
Spark-To-Paper-Skills / ts-paper-experiment
1.1kRepair an AI-generated scientific paper draft by diagnosing research logic, completing feasible experiments, rewriting the experiment section, and updating the full manuscript for claim-evidence consistency.
Spark-To-Paper-Skills / ts-paper-figure
1.1kStage 6 of the ts-paper suite. Fill a Traitement du Signal paper's figure placeholders with real diagrams. Claude DESIGNS a concrete, rich figure and GROUNDS it on a real on-topic top/mid-journal MAIN figure (Claude **WebSearches** for it, then `fetch_reference_figures.py` pulls that paper's MAIN fi…
Spark-To-Paper-Skills / ts-paper-latex
1.1kStage 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.
Spark-To-Paper-Skills / ts-paper-plan
1.1kStage 1 of the ts-paper suite. Turn a research proposal into a single structured blueprint.json (title, ≤6 keywords, exactly 3 contributions, notation table, terminology glossary, experiment design, and per-section plans with word targets) for a Traitement du Signal proposal paper
Spark-To-Paper-Skills / ts-paper-refine
1.1kStage 4 of the ts-paper suite. One holistic pass that right-sizes each drafted section toward Traitement du Signal JOURNAL length (not conference page-compression), enforces cross-section coherence and terminology consistency, removes redundancy, and preserves all citations, equations, and markers.
Spark-To-Paper-Skills / ts-paper-review
1.1kAdversarial peer-review HARDENING pass for a ts-paper draft — the thing a forward-only drafter/refiner can't do: argue the other side of the paper's claims.
Spark-To-Paper-Skills / ts-paper-write
1.1kStage 3 of the ts-paper suite. Draft every section of a Traitement du Signal paper as LaTeX body files (sections/<id>.tex + abstract.tex) from the blueprint and refs.bib, following strict per-section recipes, the no-fabricated-results rule, and IIETA citation style. Write ALL sections in one pass