Individual skill
research
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.
plugins/awesome-japanese-nlp-resources/skills/research/SKILL.md
Source commit 99cfc44d47243498abb06d755fbdfa0b60c775f2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,031
- Repository last updated
- Nov 9, 2026
- License
- CC0-1.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- awesome Repository topic
- japanese Repository topic
- natural-language-processing Repository topic
- nlp Repository topic
- nlp-library Repository topic
- japanese-language Repository topic
- awesome-list Repository topic
- cc0 Repository topic
- llm Repository topic
- agent-skills Repository topic
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
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.