One consolidated read on how good a paper is right now — top strengths, biggest risks, scores, and what to do next — by running the compliance, integrity, citation, conformance, and mock-review skills and summarizing them in one Paper Health Report. Use when a researcher asks "how good is my paper", "is my paper ready", "what are the strengths and weaknesses of my paper", "give me an overall assessment", "review my whole paper", "what should I improve first", or "what's the state of my paper". Orchestrates preflight-check, verify-citations, check-originality, benchmark-paper, and simulate-reviewers, then summarizes them in plain language with strengths first, a prioritized fix list, and an honest readiness read — never a prediction of acceptance. Trigger words - how good is my paper, paper health, overall assessment, is it ready, strengths and weaknesses, what to improve, paper report, assess my paper.
Drafts or rewrites a Related Work / prior work section positioned against actually-retrieved papers — derives the REQUIRED clusters from the paper's own claimed scope (not just whatever was retrieved), clusters prior work into themes, articulates the delta (what this paper adds) per cluster, enforces a per-cluster citation floor and routes empty expected clusters back to find-papers, follows the target community's placement and citation conventions (numeric ACM/IEEE vs natbib author-year, single- vs double-blind self-citation, where the section sits at NeurIPS/CHI/SIGMOD-style venues), and admits only verified citations. Use when the user says "related work", "prior work", "position my paper against the literature", "how do we differ from X", "reviewers said related work is thin/missing/a laundry list", or asks to add citations to a draft. Works from papers found via find-papers and/or an existing .bib — it never invents references.
Turns a topic into a ranked reading list of the best papers plus a two-column, arXiv-ready literature-review/survey draft grounded in verified citations. Use when a researcher says "write a survey on X", "do a literature review of X", "give me a ranked reading list on X", "what should I read on X first", "draft a survey paper for arXiv", or "two-column related-work survey on X". Searches across DBLP/Crossref/Semantic Scholar/arXiv, ranks candidates by citation impact, venue strength, recency, and citation-graph centrality, clusters them into a taxonomy, verifies every reference, and writes an original-prose survey (intro, taxonomy, per-theme synthesis, open problems) where each claim cites a real, resolved paper. Never fabricates citations, never copies source text — original synthesis only; the author stays the author. Trigger words - survey, literature review, reading list, ranked papers, what to read, arxiv survey, two-column review.
Searches scholarly literature with zero API keys across DBLP, Crossref, Semantic Scholar, and arXiv. Use when the user wants to find papers, search the literature, list a conference's proceedings (e.g. "all SIGSPATIAL 2025 papers"), survey related work on a topic, look up papers by author/venue/year, get DOIs or citation counts, or check recent arXiv preprints. Ships a venue-alias table that solves cross-API venue naming (DBLP "conf/gis" vs Semantic Scholar "SIGSPATIAL/GIS" vs Crossref proceedings titles) plus polite, cached, 429-resilient search scripts. Trigger words - find papers, literature search, related work, proceedings, DBLP, Crossref, Semantic Scholar, arXiv, citation count, DOI lookup, venue search.
Builds a structured literature review — survey of prior work, state of the art, related-work landscape — where every claim cites a verified reference. Use when the user says "literature review", "lit review", "survey the papers on X", "what's the state of the art", "synthesize prior work", or "organize these papers by theme". Composes sibling skills, search via find-papers (key-free DBLP/Crossref/Semantic Scholar/arXiv), full text via fetch-paper (legal open-access only), and citation checking via verify-citations. Tracks a screening corpus, extracts claims with section-level anchors, organizes by theme, and gates the final document with a deterministic checker so no claim ships uncited, unverified, or resting on a fabricated reference.
Goal-driven conductor for the whole idea-to-published-paper lifecycle. Takes a research idea plus experiments and a target ("submit to NeurIPS 2026", or "help me pick a venue") and runs a goal->plan->execute->verify->reflect loop. It plans the stages, invokes the right lifecycle skills in order (literature-review, write-abstract, preflight-check, simulate-reviewers, and the rest), checkpoints with the author before each stage, and re-verifies the live CFP via parse-cfp rather than trusting a cached profile. Use when a researcher says "take my idea to a submitted paper", "run the whole pipeline", "orchestrate the paper for venue X", "what's the plan from here", or "what's done and what's next". Copilot, not autonomous author. It stops to ask at every stage gate, never fabricates results or citations, and never submits. Trigger words - orchestrate, pipeline, end to end, whole paper, idea to submission.
Parses a conference Call for Papers (CFP) URL into a machine-checkable requirements card - deadlines with timezone (AoE vs local), per-track page limits including/excluding references, single/double/triple-blind level, exact LaTeX template invocation, LLM/AI-use policy, rebuttal format, and submission system (OpenReview, CMT, EasyChair, HotCRP, PCS) - emitted as a year-versioned venue-profile YAML conforming to venues/schema.yml. Use when the user shares a CFP or author-instructions URL, asks what a venue's submission requirements, deadlines, page limits, or anonymity rules are, or wants a venue profile under venues/conferences/ created or refreshed for a new submission cycle.
Deterministic desk-reject preflight linter for LaTeX paper submissions. Use it when a researcher asks "is my paper ready to submit", or mentions preflight, desk reject, submission check, page limit, anonymization, double-blind, missing checklist, or format/template compliance for a conference (NeurIPS, ICML, CHI, SIGSPATIAL, SIGMOD, ICDE, CVPR, LNCS...). Lints the .tex source against a machine-readable venue profile for documentclass and style-file options, margin/template tampering (geometry, savetrees, spacing hacks), anonymization leaks (author block, acknowledgments, repo links, first-person self-citations, \thanks, pdfauthor), required sections (NeurIPS checklist, ICML impact statement, AI-use acknowledgement, COI, CCS concepts/keywords), abstract length, keywords format, and page-limit risk. Every finding is reported with file:line. Runs bundled stdlib-only Python scripts; advisory only, never submits anything.