# Research

Analyze current trends and challenges in Japanese NLP for a topic.

- Repository: https://github.com/taishi-i/awesome-japanese-nlp-resources (1025 stars)
- Category: Data and ML
- License: CC0-1.0
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add taishi-i/awesome-japanese-nlp-resources --skill research -g -a claude-code -y`
Codex: `npx skills add taishi-i/awesome-japanese-nlp-resources --skill research -g -a codex -y`
Cursor: `npx skills add taishi-i/awesome-japanese-nlp-resources --skill research -g -a cursor -y`
Gemini CLI: `npx skills add taishi-i/awesome-japanese-nlp-resources --skill research -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add taishi-i/awesome-japanese-nlp-resources`

## Description

Analyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

Research Japanese NLP trends and challenges for the user's topic by combining the bundled dataset with the latest web information.

## Claude Code and Codex

This skill is shared by the Claude Code and Codex versions of the plugin. The steps are the same in both tools; only these details differ:

- **Topic**, Claude Code: the arguments of `/awesome-japanese-nlp-resources:research`, appended at the end of this skill as `ARGUMENTS: …`. Codex: the user's message that invoked `$awesome-japanese-nlp-resources:research`, minus that `$…` mention. If the skill was picked automatically rather than invoked by name, use the user's request as the topic.
- **Plugin root**, Claude Code: `${CLAUDE_PLUGIN_ROOT}`. Codex: the directory two levels above this `SKILL.md` (use its absolute path).
- **Shell**, run the commands below with Claude Code's `Bash` tool or Codex's shell tool. Copy each Python script in full and run it as written, changing only its placeholders (`RESOURCES_PATH`, the keyword list), don't shorten it, drop passes, or alter its scores and thresholds.
- **Web**, Claude Code: `WebSearch` to search and `WebFetch` to read a page. Codex: the built-in web search tool (search, then open the page). Do not use the `gh` CLI, `curl`, or other network commands from the shell.
- **Commands**, write any command you show the user in the current tool's form: `/awesome-japanese-nlp-resources:<skill>` in Claude Code, `$awesome-japanese-nlp-resources:<skill>` in Codex.

Section 1 of the report ("What's already in awesome-japanese-nlp-resources") must come from the bundled data. If the data file can't be read (for example, shell commands are blocked or fail to start), say so in that section instead of filling it from memory or web search.

## Instructions

### Preamble, Establish the current date

Before anything else, run this once and remember the values, every step that mentions a year or the report date refers to them:

The rest: https://github.com/taishi-i/awesome-japanese-nlp-resources/blob/HEAD/plugins/awesome-japanese-nlp-resources/skills/research/SKILL.md