Japanese NLP Research

Name: Japanese NLP Research
Author: taishi-i

By taishi-i· taishi-i/awesome-japanese-nlp-resources· 0

Research current challenges and solutions in Japanese natural language processing.

Installation

1
Make sure Claude is on your device and in your terminal.
Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.
One-time setup
```
npm i -g @anthropic-ai/claude-code
```
Already have it? Skip ahead.

Paste into Claude Code or into your terminal.

Install

git clone ht•••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• ••••••••••••••••••••••••••••••••••••••••••••• •• ••••• •• ••••••••••••••••••••••••••••••••••••••••• •• •• •• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• ••••••••••••••••••••••••••••••••••••••••••

This copies the whole skill folder into ~/.claude/skills/research-issues-taishi-i/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

Faster alternative (instruction-only skills)

Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

Quick install (SKILL.md only)

mkdir -p ~/.•••••••••••••••••••••••••••••••••••••• •• •••• ••••• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• •• ••••••••••••••••••••••••••••••••••••••••••••••••••

Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.
Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Investigate current challenges, limitations, and proposed solutions in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset to see what already exists, then web-researches known problems and ongoing efforts to produce a digestible issue report.

What this skill does

This skill researches current challenges and solutions in Japanese natural language processing by combining an embedded dataset with up-to-date web information. It automatically determines keywords based on your topic, surveys the local awesome-japanese-nlp-resources dataset to see what coverage already exists, then performs targeted web searches for known problems and ongoing efforts. The result is a structured issue report showing what's well-documented, what gaps remain, and what solutions are being attempted.

What it does

Surveys the bundled dataset using keywords tailored to your topic, identifying the top existing resources and showing which categories dominate or are sparse
Performs web research with English and Japanese queries biased toward challenge and limitation language, capturing dated findings with URLs
Maps challenges to solutions by cross-referencing web findings against existing resources, identifying what's still unsolved
Generates a scannable report with sections for overview, current resources, known challenges, ongoing efforts, and key takeaways
Auto-detects language — if your query contains Japanese, the entire report is produced in Japanese; otherwise English
Always reflects current date — the report includes the generation month and year, updated dynamically each time you run it

How to use it

Invoke the skill and provide a Japanese NLP topic as your argument—for example, "morphological analysis," "machine translation," "named entity recognition," or any sub-field. If you leave the argument blank, the skill defaults to a broad overview of current Japanese NLP challenges across multiple sub-fields. The skill will handle the date logic, search the dataset, fetch web results, and deliver a structured report showing what resources exist, what specific problems are documented, which efforts are addressing them, and where gaps remain.

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