Skills

Compare

Compare several Japanese NLP libraries, models, or datasets for a keyword (a specific...

Install

npx skills add taishi-i/awesome-japanese-nlp-resources --skill compare -g -a claude-code -y
Category
AI and agents
Updated
4d ago
License
CC0-1.0
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Compare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.

Compare Japanese NLP resources for the user's query across a few criteria, as a table.

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:

  • Query, Claude Code: the arguments of /awesome-japanese-nlp-resources:compare, appended at the end of this skill as ARGUMENTS: …. Codex: the user's message that invoked $awesome-japanese-nlp-resources:compare, minus that $… mention. If the skill was picked automatically rather than invoked by name, use the user's request as the query.
  • 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, SEED, 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.

Candidates come from the bundled data (Step 3), topped up from the web only as Step 4 describes. If the data file can't be read (for example, shell commands are blocked or fail to start), say so and link https://github.com/taishi-i/awesome-japanese-nlp-resources instead of building the comparison from memory alone.

Instructions

Step 0, Validate input

If the query is empty or blank, stop immediately and output (in Codex, write the commands with $ instead of /):

Read the whole SKILL.md on GitHub

More in AI and agents