#882 by GitHub stars
taishi-i/awesome-japanese-nlp-resources
A curated list of resources for Japanese natural language processing (NLP): Python libraries, LLMs, dictionaries, corpora, and datasets. Includes Claude Code and Codex skills to search resources.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
View weekly changes
plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md
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plugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md
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No earlier version was observed for comparison.
plugins/awesome-japanese-nlp-resources/skills/research/SKILL.md
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d609b0d4cbce → 99cfc44d4724
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Before Not checked yet → After Network or broad shell
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plugins/awesome-japanese-nlp-resources/skills/search/SKILL.md
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d609b0d4cbce → 99cfc44d4724
Week of Oct 26, 2026 · Line counts unavailable
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Verified commit 99cfc44d47243498abb06d755fbdfa0b60c775f2
git clone --filter=blob:none --no-checkout https://github.com/taishi-i/awesome-japanese-nlp-resources.git .hotskills/taishi-i-awesome-japanese-nlp-resources && git -C .hotskills/taishi-i-awesome-japanese-nlp-resources checkout --detach 99cfc44d47243498abb06d755fbdfa0b60c775f2
# Copy each selected skill directory from .hotskills/taishi-i-awesome-japanese-nlp-resources into .claude/skills/<skill-name>/Heat
3.0- Star growth, last 7 daysAhead of 50% of tracked repositories
- Star growth, last 24 hoursAhead of 2% of tracked repositories
- Rank movement, last 7 daysAhead of 1% of tracked repositories
- Commits, last 30 daysAhead of 88% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
How it works
compare
When your agent uses it
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.
What it loads into context
Frontmatter
224 tokensAlways available to the agent
SKILL.md
4,465 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Claude Code and Codex
- Instructions
Files
../../../../.claude-plugin/marketplace.jsonasset1,166 bytes../../.claude-plugin/plugin.jsonasset654 bytesSKILL.mdcore16,693 bytesSKILL.mdcore16,693 bytesSKILL.mdcore16,693 bytesSKILL.mdcore16,693 bytesagents/openai.yamlasset232 bytes
Read SKILL.md
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.
View the complete source on GitHubdiscover
When your agent uses it
Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.
What it loads into context
Frontmatter
266 tokensAlways available to the agent
SKILL.md
7,082 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Claude Code and Codex
- Instructions
Files
SKILL.mdcore26,484 bytesSKILL.mdcore26,484 bytesSKILL.mdcore26,484 bytesSKILL.mdcore26,484 bytesSKILL.mdcore26,484 bytesSKILL.mdcore26,484 bytesSKILL.mdcore26,484 bytesagents/openai.yamlasset224 bytes
Read SKILL.md
Discover Japanese NLP resources related to the user's query — both what's already in awesome-japanese-nlp-resources and what's not yet listed.
## 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:discover`, appended at the end of this skill as `ARGUMENTS: …`. Codex: the user's message that invoked `$awesome-japanese-nlp-resources:discover`, minus that `$…` mention. If the skill was picked automatically rather than invoked by name, use the user's request as the query.
- **Plugin root** — Claude Code: `${CLAUDE_PLUGIN_ROOT}`. Codex: the directory two levels above this `SKILL.md` (use its absolute path).
- **Shell** — run the commands below with Claude Code's `Bash` tool or Codex's shell tool. Copy each Python script in full and run it as written, changing only its placeholders (`RESOURCES_PATH`, `SEED`, the keyword list, the candidate list) — don't shorten it, drop passes, or alter its scores and thresholds.
- **Web** — Claude Code: `WebSearch` to search and `WebFetch` to read a page. Codex: the built-in web search tool (search, then open the page). Do not use the `gh` CLI, `curl`, or other network commands from the shell.
- **Commands** — write any command you show the user in the current tool's form: `/awesome-japanese-nlp-resources:<skill>` in Claude Code, `$awesome-japanese-nlp-resources:<skill>` in Codex.
The "Already in the list" results and the "not yet in the list" check both 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 and link https://github.com/taishi-i/awesome-japanese-nlp-resources instead of guessing which resources are listed.
View the complete source on GitHubresearch
When your agent uses it
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.
What it loads into context
Frontmatter
208 tokensAlways available to the agent
SKILL.md
3,556 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Claude Code and Codex
- Instructions
Files
SKILL.mdcore14,190 bytesSKILL.mdcore14,190 bytesSKILL.mdcore14,190 bytesSKILL.mdcore14,190 bytesSKILL.mdcore14,190 bytesSKILL.mdcore14,190 bytesagents/openai.yamlasset229 bytes
Read SKILL.md
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.
View the complete source on GitHubsearch
When your agent uses it
Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.
What it loads into context
Frontmatter
166 tokensAlways available to the agent
SKILL.md
4,749 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Claude Code and Codex
- Instructions
Files
SKILL.mdcore17,796 bytesSKILL.mdcore17,796 bytesSKILL.mdcore17,796 bytesagents/openai.yamlasset222 bytes
Read SKILL.md
Search the awesome-japanese-nlp-resources database for the user's query.
## 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:search`, appended at the end of this skill as `ARGUMENTS: …`. Codex: the user's message that invoked `$awesome-japanese-nlp-resources:search`, minus that `$…` mention. If the skill was picked automatically rather than invoked by name, use the user's request as the query.
- **Plugin root** — Claude Code: `${CLAUDE_PLUGIN_ROOT}`. Codex: the directory two levels above this `SKILL.md` (use its absolute path).
- **Shell** — run the commands below with Claude Code's `Bash` tool or Codex's shell tool. Copy each Python script in full and run it as written, changing only its placeholders (`RESOURCES_PATH`, the keyword lists) — don't shorten it, drop passes, or alter its scores and thresholds.
- **Commands** — write any command you show the user in the current tool's form: `/awesome-japanese-nlp-resources:<skill>` in Claude Code, `$awesome-japanese-nlp-resources:<skill>` in Codex.
Results 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 and link https://github.com/taishi-i/awesome-japanese-nlp-resources instead of answering from memory or web search.
## InstructionsView the complete source on GitHubSkills included
- compare
- discover
- research
- search
Repository facts
- License
- CC0-1.0
- Created
- Jun 8, 2022
- Last pushed
- Nov 2, 2026
- Forks
- 59
- Open issues
- 0
- Project activity
- Active
Rank over the last 12 weeks
Now #882 · best #607 · down 197 in 30 days
- #860 on Nov 2
- #866 on Nov 3
- #871 on Nov 4
- #872 on Nov 5
- #875 on Nov 6
- #882 since Nov 7
29 earlier periods
- #591 on Aug 1
- #543 on Aug 9
- #561 on Aug 10
- #565 on Aug 11
- #566 on Aug 13
- #621 on Aug 28
- #607 on Aug 31
- #639 on Sep 8
- #627 on Sep 9
- #627 on Sep 13
- #654 on Sep 17
- #655 on Sep 18
- #662 on Sep 21
- #674 on Sep 22
- #644 on Sep 24
- #691 on Sep 30
- #654 on Oct 1
- #673 on Oct 4
- #678 on Oct 5
- #685 on Oct 6
- #720 on Oct 15
- #727 on Oct 16
- #739 on Oct 19
- #832 on Oct 25
- #841 on Oct 28
- #844 on Oct 29
- #848 on Oct 30
- #852 on Oct 31
- #855 on Nov 1
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 7, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 16 notes
plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/research/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/research/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/research/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/research/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/research/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/search/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/awesome-japanese-nlp-resources/skills/search/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- 4 broad permissionsin 4 files: compare/SKILL.md:1 discover/SKILL.md:1 research/SKILL.md:1 and 1 more
- No dangerous shell commands
- 45 network referencesin 6 files: discover/SKILL.md:20 .claude-plugin/marketplace.json:1 plugins/awesome-japanese-nlp-resources/.claude-plugin/plugin.json:6 and 3 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 49 signals by file
.claude-plugin/marketplace.json
- Network accessline 1
{ "$schema": "https://code.claude.com/schemas/marketplace.json", - Network accessline 2
"$schema": "https://code.claude.com/schemas/marketplace.json", - Network accessline 14
"name": "taishi-i" }, "homepage": "https://github.com/taishi-i/awesome-japanese-nlp-resources", - Network accessline 15
}, "homepage": "https://github.com/taishi-i/awesome-japanese-nlp-resources", "repository": "https://github.com/taishi-i/awesome-japanese-nlp-resources", - Network accessline 16
"homepage": "https://github.com/taishi-i/awesome-japanese-nlp-resources", - Network accessline 17
"repository": "https://github.com/taishi-i/awesome-japanese-nlp-resources",
plugins/awesome-japanese-nlp-resources/.claude-plugin/plugin.json
- Network accessline 6
"name": "taishi-i" }, "homepage": "https://github.com/taishi-i/awesome-japanese-nlp-resources", - Network accessline 7
}, "homepage": "https://github.com/taishi-i/awesome-japanese-nlp-resources", "repository": "https://github.com/taishi-i/awesome-japanese-nlp-resources", - Network accessline 8
"homepage": "https://github.com/taishi-i/awesome-japanese-nlp-resources", - Network accessline 9
"repository": "https://github.com/taishi-i/awesome-japanese-nlp-resources",
plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md
- Broad permissionsline 1
Bash WebSearch WebFetch - Network accessline 20
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- - Network accessline 253
WebFetch url="https://github.com/<owner>/<repo>" prompt="Extract as JSON: license, key features relevant to <the chosen axes>, install/setup complexity, and any explicit limitations mentioned. If a field is unavailable, set it to null." - Network accessline 281
Sources (if you searched the web or fetched pages): - [Title](https://...) - Network accessline 282
- [Title](https://...)
plugins/awesome-japanese-nlp-resources/skills/discover/SKILL.md
- Broad permissionsline 1
Bash WebSearch WebFetch - Network accessline 20
The "Already in the list" results and the "not yet in the list" check both 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 and link https://github.com/taishi-i/aw - Network accessline 54
(a) **A direct identifier** — a full GitHub URL (`https://github.com/owner/repo`), a full Hugging Face URL (`https://huggingface.co/owner/name` or `https://huggingface.co/datasets/owner/name`), an `owner/repo` pair, or a bare tool/model nam - Network accessline 269
WebFetch url="https://github.com/<owner>/<repo>" prompt="Extract as JSON: name, one-line description, primary language, the NLP task it performs, star count, and whether it targets Japanese. If a field is unavailable, set it to null." - Network accessline 273
WebFetch url="https://huggingface.co/<owner>/<name>" prompt="Extract as JSON: name, one-line description / model card summary, pipeline or task tag, whether it is a model or a dataset, downloads count, likes count, and whether it targets Ja - Network accessline 299
Run the queries from Step 5 (6–9 of them). From each result, extract every URL matching: - `https://github.com/<owner>/<repo>` (ignore deeper paths like `/issues`, `/pull/`, `/blob/`, `/tree/`) - Network accessline 300
- `https://github.com/<owner>/<repo>` (ignore deeper paths like `/issues`, `/pull/`, `/blob/`, `/tree/`) - Network accessline 301
- `https://huggingface.co/<owner>/<name>` for models, `https://huggingface.co/datasets/<owner>/<name>` for datasets (ignore deeper paths) - Network accessline 311
RESOURCES_PATH = "RESOURCES_PATH" # from Step 2 CANDIDATES = """ https://github.com/owner/repo - Network accessline 312
CANDIDATES = """ https://github.com/owner/repo https://huggingface.co/owner/name - Network accessline 313
https://github.com/owner/repo - Network accessline 314
https://huggingface.co/owner/name - Network accessline 323
if path.endswith(".git"): path = path[:-4] return f"https://{m.group(1)}/{path}" - Network accessline 325
return f"https://{m.group(1)}/{path}" - Network accessline 340
scan_files += [os.path.join(p, "README.md"), os.path.join(p, "docs", "huggingface.md")] break url_pattern = re.compile(r"https://(?:github\.com|huggingface\.co)/(?:datasets/)?[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+") - Network accessline 341
break url_pattern = re.compile(r"https://(?:github\.com|huggingface\.co)/(?:datasets/)?[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+") for scan_file in scan_files: - Network accessline 342
url_pattern = re.compile(r"https://(?:github\.com|huggingface\.co)/(?:datasets/)?[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+") - Network accessline 362
WebFetch url="https://github.com/<owner>/<repo>" prompt="Extract as JSON: name, one-line description, primary language, star count, last-updated date (YYYY-MM), whether archived, whether a fork, and what NLP task it performs. Note if it tar - Network accessline 367
WebFetch url="https://huggingface.co/<owner>/<name>" prompt="Extract as JSON: name, one-line description / model card summary, pipeline or task tag, whether model or dataset, downloads count, likes count, last-updated date (YYYY-MM), and wh - Network accessline 419
#### Python library * [repo-name](https://github.com/owner/repo) - One-line English description. (⭐ 123, last updated: YYYY-MM) - Network accessline 420
* [repo-name](https://github.com/owner/repo) - One-line English description. (⭐ 123, last updated: YYYY-MM) - Network accessline 422
#### Hugging Face model * [model-name](https://huggingface.co/owner/name) - 📥 {downloads} / ⭐ {likes} / One-line English description. - Network accessline 423
* [model-name](https://huggingface.co/owner/name) - 📥 {downloads} / ⭐ {likes} / One-line English description. - Network accessline 432
Sources: - [Title 1](https://...) - Network accessline 433
- [Title 1](https://...)
plugins/awesome-japanese-nlp-resources/skills/research/SKILL.md
- Broad permissionsline 1
Bash WebSearch WebFetch - Network accessline 187
WebFetch url="https://..." prompt="Extract: publication/release date, name, key contribution or problem statement, proposed solution if any, GitHub/HuggingFace URL if any, and a 1-sentence summary. Note if it cites Japanese-specific issues. - Network accessline 246
Sources: - [Title 1](https://...) - Network accessline 247
- [Title 1](https://...) - Network accessline 248
- [Title 2](https://...)
plugins/awesome-japanese-nlp-resources/skills/search/SKILL.md
- Broad permissionsline 1
Bash - Network accessline 19
Results 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 and link https://github.com/taishi-i/awesome-japanese-nlp-resources instead of answering from memory - Network accessline 287
If no results, suggest alternate keywords and link to: https://github.com/taishi-i/awesome-japanese-nlp-resources - Network accessline 288
https://github.com/taishi-i/awesome-japanese-nlp-resources
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 39 facts
- Broad permissions in the frontmatter of the SKILL.mdcompare/SKILL.md:1High confidence
- Network access in prose of the SKILL.mdcompare/SKILL.md:20Low confidence
- Network access in code of the SKILL.mdcompare/SKILL.md:253High confidence
- Network access in code of the SKILL.mdcompare/SKILL.md:281High confidence
- Network access in code of the SKILL.mdcompare/SKILL.md:282High confidence
- Broad permissions in the frontmatter of the SKILL.mddiscover/SKILL.md:1High confidence
- Network access in prose of the SKILL.mddiscover/SKILL.md:20Low confidence
- Network access in prose of the SKILL.mddiscover/SKILL.md:54Low confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:269High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:273High confidence
- Network access in prose of the SKILL.mddiscover/SKILL.md:299Low confidence
- Network access in prose of the SKILL.mddiscover/SKILL.md:300Low confidence
- Network access in prose of the SKILL.mddiscover/SKILL.md:301Low confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:311High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:312High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:313High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:314High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:323High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:325High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:340High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:341High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:342High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:362High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:367High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:419High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:420High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:422High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:423High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:432High confidence
- Network access in code of the SKILL.mddiscover/SKILL.md:433High confidence
- Broad permissions in the frontmatter of the SKILL.mdresearch/SKILL.md:1High confidence
- Network access in code of the SKILL.mdresearch/SKILL.md:187High confidence
- Network access in code of the SKILL.mdresearch/SKILL.md:246High confidence
- Network access in code of the SKILL.mdresearch/SKILL.md:247High confidence
- Network access in code of the SKILL.mdresearch/SKILL.md:248High confidence
- Broad permissions in the frontmatter of the SKILL.mdsearch/SKILL.md:1High confidence
- Network access in prose of the SKILL.mdsearch/SKILL.md:19Low confidence
- Network access in prose of the SKILL.mdsearch/SKILL.md:287Low confidence
- Network access in prose of the SKILL.mdsearch/SKILL.md:288Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md plugins/awesome-japanese-nlp-resources/skills/compare/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
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