Vast Intelligence Lab
Official@Spark-To-Paper-Skills
Vast Intelligence Lab provides pre-submission CS-conference LaTeX paper editing and adversarial mock-review with deterministic guards and reviewer-juror fan-out.
Agent Skills by Vast Intelligence Lab
Showing 15 vetted skills indexed across 2 GitHub repositories.
Spark-To-Paper-Skillsts-paper-experiment
Repairs AI-generated LaTeX paper drafts by running feasible experiments and enforcing claim-evidence consistency.
Spark-To-Paper-Skillsts-paper-cite
Builds a verified, complete refs.bib bibliography for Traitement du Signal papers using Crossref and arXiv metadata.
Spark-To-Paper-Skillsts-kg-build
Builds a research-pattern knowledge graph from a paper corpus using embeddings and clustering.
Spark-To-Paper-Skillsts-paper-review
Runs adversarial multi-reviewer peer review on academic paper drafts with verified issue lists.
Spark-To-Paper-Skillsts-idea2story
Convert a raw research idea into an 8-field structured story proposal with retrieved citation seeds.
Spark-To-Paper-Skillsts-paper
Generates publication-format LaTeX papers from ideas, proposals, or real experimental results.
Spark-To-Paper-Skillsts-paper-refine
Right-sizes and polishes journal paper drafts while preserving citations, equations, and structure.
Spark-To-Paper-Skillsts-paper-plan
Generates a structured blueprint.json planning a Traitement du Signal research paper from a proposal.
Spark-To-Paper-Skillsts-paper-write
Drafts all LaTeX body sections of a Traitement du Signal proposal paper from a blueprint and bibliography.
Spark-To-Paper-Skillsts-figure-svg
Convert AI-generated figure candidates into editable, audited, publication-grade SVG vector graphics.
Spark-To-Paper-Skillsts-figure-optimize
Convert raster scientific figures into editable hybrid SVG, PDF, and PPTX files.
Spark-To-Paper-Skillsts-paper-data
Writes data-aware paper sections from real experimental results with audited numbers and matplotlib figures.
Spark-To-Paper-Skillsts-paper-latex
Assemble LaTeX section bodies, bibliography, and blueprint into a compiled template-driven paper PDF.
Spark-To-Paper-Skillsts-paper-figure
Generate grounded, critique-refined, editable vector figures for LaTeX research papers.
Spark-To-Paper-Skillspaperjury
Reviews and revises CS-conference papers through an adversarial multi-agent courtroom engine.
Frequently Asked Questions About Vast Intelligence Lab
FAQPage SchemaWhat tasks can I perform with Vast Intelligence Lab's paperjury skill?▼
You can polish, de-AI, compress, and caption LaTeX paper prose, translate Chinese notes into LaTeX, and run adversarial mock reviews. It also supports explicit auto or goal-driven review-revise loops with author sign-off and compile or compliance checks.
Who is the paperjury skill designed for?▼
It targets CS researchers and graduate students preparing conference submissions who want direct LaTeX edits and adversarial pre-submission critique. It suits authors seeking structured mock-review feedback rather than from-scratch writing, figure generation, or official rebuttals.
How does the paperjury review-revise workflow operate at runtime?▼
It runs deterministic Node guards, maintains a durable ledger, and fans out isolated reviewer and juror passes. Revisions proceed through author sign-off, followed by compile or compliance checks to validate the final LaTeX manuscript.
What are the limitations of the paperjury skill?▼
It does not write papers from scratch, generate figures, or produce official rebuttals. Its scope is strictly pre-submission editing, adversarial review, and goal-driven review-revise loops on existing CS-conference LaTeX manuscripts.