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chensitao

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@1549171506 · 666 Shengli Road, Tianshan District, Urumqi, Xinjiang Uygur Autonomous Region, China

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34Published Skills

chensitao provides an end-to-end academic research skill suite covering literature ingestion, knowledge-graph wikis, experiment orchestration, and LaTeX paper production.

Skills Distribution
DomainAI Models & ...Research Knowledge.. (30%)Literature Discove.. (25%)Experiment Design .. (20%)Academic Writing &.. (15%)

Agent Skills by chensitao

Showing 34 vetted skills indexed across 1 GitHub repositories.

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management-review-writer

Drafts management literature reviews from OpenAlex workspaces with validated APA citations.

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Advanced
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review-orchestrator

Coordinate literature review workflows across search, planning, and writing subagents with plan-approval gates.

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Advanced
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openalex-ajg-insights

Search ABS/AJG-ranked literature and build systematic review corpora with PDF-to-Markdown conversion.

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Advanced
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research-literature-review

Generates expert-level literature reviews via multi-source search, AI relevance scoring, and LaTeX/PDF/Word export.

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Advanced
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management-review-planner

Builds and freezes a reusable literature review framework before prose drafting begins.

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Intermediate
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research

Orchestrates end-to-end research pipelines from idea discovery through experiments to paper writing.

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Advanced
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daily-arxiv

Pulls new arXiv papers, scores relevance, and auto-ingests high-priority papers into a research wiki.

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init

Bootstraps a research wiki from local sources with planner-guided discovery and parallel paper ingest.

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Advanced
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variable-map

Compares how empirical variables are measured across papers, datasets, and local project files.

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Intermediate
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exp-design

Designs claim-driven ML experiment plans with staged run order and wiki integration.

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Advanced
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paper-draft

Drafts a complete LaTeX paper from a PAPER_PLAN using wiki sources, figures, and verified BibTeX.

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Advanced
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discover

Builds a ranked shortlist of candidate papers from anchors, topics, or wiki state.

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Advanced
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ask

Answers questions against a research wiki and optionally crystallizes synthesized answers back into wiki pages.

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Advanced
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ingest

Ingests academic papers into a structured wiki with cross-referenced pages and graph edges.

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Advanced
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setup

Configures API keys in .env for Semantic Scholar, DeepXiv, and Review LLM services.

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Intermediate
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exp-status

Checks live status of running experiments and auto-collects completed ones.

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Advanced
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stata-plan

Converts an empirical design into a Stata execution plan and optional do-file skeleton.

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Intermediate
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theory-ingest

Extracts assumptions, propositions, and testable implications from theory papers into a structured research wiki.

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Advanced
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edit

Adds or removes raw sources and updates wiki pages with synchronized navigation links.

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Intermediate
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paper-compile

Compiles LaTeX papers to PDF with latexmk, auto-fixes errors, and verifies submission requirements.

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Advanced
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empirical-ingest

Extracts variables, models, and identification strategies from empirical papers into a research wiki.

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Intermediate
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novelty

Verifies research idea novelty via multi-source search and cross-model review.

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Advanced
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review

Reviews research artifacts with an independent LLM and outputs structured scores and wiki mappings.

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Advanced
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ideate

Generates research ideas through a five-phase pipeline grounded in a wiki knowledge base.

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Advanced

Frequently Asked Questions About chensitao

FAQPage Schema
What tasks can I accomplish with chensitao's research skills?

You can discover and ingest papers into a structured wiki, generate systematic literature reviews with relevance scoring, design and run experiments with verdict gates, draft and compile LaTeX papers, verify novelty, build Stata empirical plans, and produce rebuttals to reviewer comments.

Who is the target user for these skills?

Academic researchers, PhD students, and ML scientists preparing submissions to venues like ICLR, NeurIPS, ICML, ACL, and CVPR, plus empirical economics and management researchers who need Stata execution plans, variable mapping, and identification-strategy design from ingested literature.

How do I set up and start using the research pipeline?

Run the setup skill for interactive API key configuration covering Semantic Scholar, DeepXiv, and Review LLM via .env, then use init to bootstrap the wiki from your sources, ingest papers by PDF, .tex, or arXiv URL, and invoke the research orchestrator with a direction or brief.

What external services and dependencies are required?

The skills require API keys for Semantic Scholar, DeepXiv, and a Review LLM, configured through the interactive setup skill. LaTeX tooling such as latexmk is needed for paper compilation, and Stata is required to execute generated do-file skeletons for empirical work.

Can the pipeline resume interrupted research sessions?

Yes. The research orchestrator supports session-resumable state with human gates, letting you restart from specific stages using --start-from flags. The reset skill restores a clean wiki scaffold by scope, and exp-status tracks running experiments with optional auto-collection and pipeline advancement.