Individual skill
compare
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.
plugins/awesome-japanese-nlp-resources/skills/compare/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.
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Repository context
- Repository stars (not skill ratings)
- 1,030
- 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
- engineering Derived category
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SKILL.mdcore · 16,693 bytesSKILL.mdcore · 16,693 bytesSKILL.mdcore · 16,693 bytesSKILL.mdcore · 16,693 bytesagents/openai.yamlasset · 232 bytes
Read excerpt
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.