ericluo04

Run a fast 2-agent pre-submission check for an empirical paper — focuses on contribution, identification, and causal overclaiming. Designed for marketing (MKSCI, JMR, JCR, MS) and economics/finance papers. Completes in ~1 minute.

Pull a Notion AI meeting-notes page, extract the `### Action Items` list from its `<summary>` block, keep only the items whose owner is the user, and file each as a new task in the user's Notion Tasks DB with inferred Priority/Type/Project/Due and `Source = Meeting`. Use this skill whenever the user says "/notion-meeting-notes <url-or-id>", "process meeting notes: <url>", "extract action items fro

Build the user's morning task brief — pull open tasks from their Notion Tasks DB, score and rank by priority × urgency × type-balance × energy fit (with wait-factor scoring and type-balance rotation), pick the top 3–7 that fit available time, and push the formatted list to their Telegram bot. Saves the selection to today_brief.json so /capture can resolve "1 done" / "2 push thu" replies. Use this

Create Beamer-inspired academic HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build slides for a conference talk, lecture, seminar, or thesis defense. Supports theorem environments, KaTeX equations, algorithm pseudocode, and citations. Helps academics discover their preferred visual theme through Beamer-style previews rather than abstract choices.

End-of-session diary logger for the user's research projects — append a dated, timestamped entry to the bottom of the relevant Notion project page. Use this skill WHENEVER the user says "/notion-log <project>: <summary>", "log to notion: X", "update notion with what I did", "diary: X", "append to project page", "end-of-session log", "session log: X", "log my work on <project>", "note in notion tha

Resolve a paper (DOI, arXiv ID, title, or URL) to a Zotero entry, append its BibTeX to the active project's .bib file, and return the citation key ready for \citep{}. Use this whenever the user asks to add a citation, "cite this paper", or pastes a paper identifier.

Bundle a journal-ready replication package (code + data + output + environment + manifest) for a quantitative-marketing paper, zipped to the layout that Marketing Science, JMR, JCR, and Management Science expect at acceptance or revision. Use this skill WHENEVER the user says "/replication-package", "build a replication package", "prepare submission package", "MKSCI replication", "JMR replication"

Runs a structured multi-source literature search across arXiv, Semantic Scholar, and OpenAlex MCPs (with Crossref as fallback), dedupes by DOI / arXiv-ID / fuzzy title, scores each unique paper 1–5 for relevance to the user's query, and returns a ranked summarized list with takeaways framed for a quantitative marketing audience. Use this skill whenever the user asks to "find papers on X", "do a li

Spawn up to 5 independent critic subagents in PARALLEL on a target — a research idea, draft, R&R strategy, grant proposal, experimental design, pre-analysis plan, talk plan, IRB protocol, or skill design — collect their raw outputs, then run a SEPARATE synthesis pass that produces a single prioritized action list without majority-voting. Default critic roster is tuned for quantitative-marketing re

Drafts an R&R response letter in the user's R2R style — sectioned by role (Senior Editor / Associate Editor / Reviewer 1 / Reviewer 2), reviewer quotes in `\textit{...}`, location-pinned changes ("see Section 3", "Footnote 7", "Table 4"), "Done." for trivial fixes, polite pushback with cited authority, abandoned drafts kept in `\begin{comment}` blocks. Reads existing `R2R_*.tex` files in the proje

Run a seven-pass adversarial review of an academic manuscript by spawning 7 parallel review subagents (abstract, intro, methods, results, robustness, prose, citations) and synthesizing their findings into a prioritized revision checklist with 80 / 90 / 95 quality thresholds. Use when the user says "seven pass review", "seven-pass review my draft", "full adversarial review", "deep review my paper",

Review research code for reproducibility and quality, extract the paper's main empirical claims, compare paper to code, and write a constructive markdown report. Designed for quantitative marketing / economics projects with LaTeX papers and R or Python code.