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Ryota NISHIMURA

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@sayonari · Tokushima, JAPAN

65Followers
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45Public Repos
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9Published Skills

Ryota Nishimura's skill registry supports academic research operations: speech-language paper writing, peer review, KAKENHI grant applications, exam grading, and conference travel planning.

Skills Distribution
DomainBusiness, Fi...Academic Writing &.. (40%)Research Funding &.. (20%)Education & Exam G.. (15%)Conference Travel .. (15%)

Agent Skills by Ryota NISHIMURA

Showing 9 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About Ryota NISHIMURA

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

You can write and self-review speech-language academic papers, survey venue literature (Interspeech, ICASSP, ACL), draft KAKENHI grant proposals, grade university exams with rubric-based parallel AI scoring, plan conference travel around maintenance hemodialysis, configure Slack MCP servers, scaffold new projects, and build polished frontend interfaces.

Who are these skills designed for?

They target university faculty and researchers in speech and language processing who write international conference papers, apply for Japanese KAKENHI grants, grade written exams, and attend conferences while managing hemodialysis. Graduate students and co-authors preparing manuscripts or peer reviews also benefit directly.

How do the paper writing and review skills work together?

Run field_literature_survey early to learn venue conventions from past Interspeech, ICASSP, and TASLP papers, then use paper_writing for drafting with reference verification and LaTeX workflows. Use paper_review for self-review or committee reviewing with three parallel checks: technical content, references, and vocabulary.

What prerequisites or dependencies do these skills require?

The dialysis travel skill reads personal DIALYSIS_PROFILE.md and LOYALTY_PROFILE.md files under ~/.claude/profiles/. The Slack MCP skill requires a Slack workspace URL for the official MCP server. Paper skills assume LaTeX with compile.sh. The frontend-design skill's full license terms are in its LICENSE.txt.

How does the exam grading skill ensure grading quality?

It covers the full pipeline from question design through scanning, identity matching, explicit rubric codification, parallel AI grading, and machine verification. Critically, it mandates presenting instructors with HTML reports containing answer-image captures of every point requiring human discussion before returning results and handling appeals.