Japanese NLP Trends

Name: Japanese NLP Trends
Author: taishi-i

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

Analyze current trends in Japanese natural language processing with web research and curated datasets.

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-trends-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

Analyze current trends 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 digestible trend report.

What this skill does

This skill analyzes current trends in Japanese natural language processing by combining a bundled dataset of curated resources with up-to-the-minute web research. It automatically detects whether your query is in English or Japanese and produces a bilingual trend report that reflects the current month and year. The skill surveys the awesome-japanese-nlp-resources dataset to identify the most relevant and popular tools, models, and libraries, then augments those findings with targeted web searches to surface the latest releases, benchmarks, and research directions.

What it does

Surveys the local dataset using keyword stemming to locate top-ranked Japanese NLP resources by relevance and popularity (star count, download metrics, quality scores)
Executes targeted web searches mixing English and Japanese queries to identify recent trends, new model releases, and emerging sub-fields
Fetches high-value pages (arXiv abstracts, HuggingFace model cards, release announcements) to extract specific details like release dates, parameter counts, and benchmark scores
Cross-references dataset items against web findings to confirm what remains current and spot new candidates not yet in the curated list
Identifies directional signals—architectural shifts (BERT to LLaMA-based models), resource-type dominance, maturity of sub-fields, and gaps in coverage
Produces a scannable trend report with an overview, top existing resources, timestamped web findings, key takeaways, and references

How to use it

Pass a Japanese NLP topic or sub-field as an argument—for example, "embeddings", "LLM benchmarks", or "speech recognition". If you leave the input blank, the skill generates a broad overview of Japanese NLP trends across all major sub-fields (LLMs, embeddings and retrieval-augmented generation, speech, morphological analysis, and benchmarks). The skill automatically determines English or Japanese output based on your query language and always dates the report with the current month.

Related skills

Claude API Helper

anthropics

Build, debug, and optimize Claude API applications with caching and model migration support.

OfficialComplete terms in LICENSE.txt

Customer Health Scorer

alirezarezvani

Analyze customer accounts to predict churn risk and identify expansion opportunities.

MIT

Adaptyv Protein Lab

foryourhealth111-pixel

Submit protein sequences for automated lab testing and validation experiments.

CLAUDE.md Optimizer

daymade

Optimize your CLAUDE.md file for clarity, efficiency, and maintainability.