adjective-entry
Requirements for creating or revising adjective entries in je-dict-1. Covers forms, conjugations, predicate vs modifier usage, and similar word distinctions.
Best use case
adjective-entry is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Requirements for creating or revising adjective entries in je-dict-1. Covers forms, conjugations, predicate vs modifier usage, and similar word distinctions.
Teams using adjective-entry should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/adjective-entry/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How adjective-entry Compares
| Feature / Agent | adjective-entry | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Requirements for creating or revising adjective entries in je-dict-1. Covers forms, conjugations, predicate vs modifier usage, and similar word distinctions.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Adjective Entry Requirements
**Reminder:** Write each entry individually by hand. Do not use scripts to mass-produce entries. See `entry-guidelines` skill.
When creating or revising ADJECTIVE entries (both i-adjectives and na-adjectives), include all of the following:
## Required Sections
### 1. Forms Information (MEDIUM PRIORITY)
Include derived forms where natural:
```
FORMS:
- Adverbial: {遠|とお}く (i-adj) / {静|しず}かに (na-adj)
- Noun form: {遠|とお}さ (where natural)
```
**Note:** Not all adjectives have natural noun forms. Only include if commonly used.
### 2. Conjugation Paradigm (MEDIUM PRIORITY)
Show key conjugations:
```
CONJUGATION:
- Negative: {遠|とお}くない / {静|しず}かではない
- Te-form: {遠|とお}くて / {静|しず}かで
- Past: {遠|とお}かった / {静|しず}かだった
```
### 3. Predicate vs. Modifier Usage (MEDIUM PRIORITY)
Indicate which form is more common:
```
USAGE PATTERN:
- More common as: Predicate / Modifier / Equal
- Example: この{道|みち}は{遠|とお}い (predicate) vs. {遠|とお}い{道|みち} (modifier)
```
### 4. Similar Words Section (MEDIUM PRIORITY)
For adjectives with semantic overlap, include distinctions:
```
SIMILAR WORDS:
- {楽|らく} vs. {簡単|かんたん} vs. {易|やさ}しい
- {楽|らく}: comfortable, at ease (subjective feeling)
- {簡単|かんたん}: simple, straightforward (objective complexity)
- {易|やさ}しい}: gentle, easy to understand (approachable)
```
**Key adjective groups to distinguish:**
- {嬉|うれ}しい vs. {楽|たの}しい (happiness vs. enjoyment)
- {怖|こわ}い vs. {恐|おそ}ろしい (scared vs. terrifying)
- {大きい|おおきい} vs. {広|ひろ}い (big vs. spacious)
- {新|あたら}しい vs. {若|わか}い (new vs. young)
- {難|むずか}しい vs. {大変|たいへん} (difficult vs. hard/serious)
### 5. Register Label (MEDIUM PRIORITY)
Mark as: Casual / Neutral / Formal / Emphatic
Example: すごい - [Register: Casual/Emphatic]
## Low Priority Sections
### 6. Kanji Orthography Notes
When kanji vs. hiragana matters:
```
ORTHOGRAPHY:
- すごい is commonly written in hiragana; {凄|すご}い appears in formal writing
- {可愛|かわい}い vs. かわいい - both common
```
## Template for Notes Section
**Important:** Follow the formatting guidelines in the `vocabulary-notes` skill for proper structure.
```
[Adjective] is an [i-adjective/na-adjective].
FORMS:
- Adverbial: [form]
- Noun form: [form] (if natural)
SIMILAR WORDS:
- [word 1] vs. [word 2]: [distinction]
[Register notes if applicable]
[Any special usage patterns or restrictions]
```
## I-Adjective vs. Na-Adjective Specifics
### I-Adjectives
- End in い (but not all い-ending words are i-adjectives)
- Conjugate directly: {高|たか}い → {高|たか}くない
- Connect with くて: {高|たか}くて{広|ひろ}い
### Na-Adjectives
- Require な before nouns: {静|しず}かな{部屋|へや}
- Use で to connect: {静|しず}かで{広|ひろ}い
- Negative with ではない/じゃない
### Special Cases
- {きれい|綺麗} - na-adjective despite ending in い
- {嫌|きら}い - na-adjective
- Note these exceptions explicitly in entries
## Example Sentences
**See the `example-sentences` skill for complete requirements including:**
- Minimum counts: 5 examples per sense (basic/core) or 3 (general)
- Progressive length: Examples should get longer from first to last
- Vocabulary restrictions by tier
- Quality standards and formatting
### Sense Numbers in Examples
For adjectives with multiple senses, each example must include a `sense_numbers` field:
```json
"examples": [
{
"id": "00001_adj_ex1",
"japanese": "...",
"english": "...",
"sense_numbers": [1]
}
]
```
**Adjective-specific guidelines:**
- Examples demonstrating predicate vs. modifier usage typically share the same sense
- Different nuances of meaning (e.g., physical vs. emotional) may require separate senses
- Figurative or extended meanings should have their own sense numbers
- Show both predicate form (Xは{adj}) and modifier form ({adj}+noun)
- Demonstrate adverbial form usage where natural
## Required Tags for Adjectives
All adjective entries must include these tags in `metadata.tags`:
```json
"metadata": {
"tags": {
"pos": ["adjective-i"], // adjective-i, adjective-na, adjective-no, adjective-taru
"formality": "neutral", // formal, neutral, informal, vulgar
"politeness": "plain", // honorific, humble, polite, plain
"semantic": ["descriptive"] // Choose appropriate category
}
}
```
**POS tag values for adjectives:**
- `adjective-i`: い-adjectives (高い, 大きい, 美しい)
- `adjective-na`: な-adjectives (静か, 便利, きれい)
- `adjective-no`: の-adjectives (本当の, 普通の)
- `adjective-taru`: たる-adjectives (堂々たる, 悠々たる) - literary/formal
**Semantic categories for adjectives:**
- `emotion`: 嬉しい, 悲しい, 怖い (feelings)
- `size`: 大きい, 小さい, 長い, 高い (dimensions)
- `color`: 赤い, 青い, 白い (colors)
- `descriptive`: Fallback for adjectives not fitting specific categories
## Quality Checklist for Adjectives
- [ ] **All kanji have furigana** (headword, examples, AND notes)
- [ ] Verify: `python3 build/verify_furigana.py <entry_id>` shows "✓ OK"
- [ ] **Tags complete**: pos, formality, politeness, semantic
- [ ] Part of speech correctly identified (i-adj vs. na-adj)
- [ ] Adverbial form provided
- [ ] Key conjugations shown
- [ ] Similar words distinguished (if applicable)
- [ ] Examples show both predicate and modifier uses
- [ ] Register noted if not neutral
- [ ] Special cases (きれい, 嫌い type) flagged if applicable
- [ ] All examples have valid sense_numbersRelated Skills
1k-sentry
Sentry error tracking and monitoring for OneKey. Use when configuring Sentry, filtering errors, analyzing crash reports, or debugging production issues. Covers platform-specific setup (desktop/mobile/web/extension) and error filtering strategies.
1k-sentry-analysis
Analyze and fix production errors from Sentry crash reports. Use when investigating AppHang, ANR, crashes, or production errors. Includes complete workflow from JSON analysis to bug fix implementation with evidence-based methodology. Triggers on sentry, crash, AppHang, ANR, error analysis, production error, bug analysis, crash report, freeze, hang, not responding, stacktrace, breadcrumbs, exception.
modal-deployment
Run Python code in the cloud with serverless containers, GPUs, and autoscaling using Modal. This skill enables agents to generate code for deploying ML models, running batch jobs, serving APIs, and scaling compute-intensive workloads.
thor-skills
An entry point and router for AI agents to manage various THOR-related cybersecurity tasks, including running scans, analyzing logs, troubleshooting, and maintenance.
astro
This skill provides essential Astro framework patterns, focusing on server-side rendering (SSR), static site generation (SSG), middleware, and TypeScript best practices. It helps AI agents implement secure authentication, manage API routes, and debug rendering behaviors within Astro projects.
vly-money
Generate crypto payment links for supported tokens and networks, manage access to X402 payment-protected content, and provide direct access to the vly.money wallet interface.
ux
This AI agent skill provides comprehensive guidance for creating professional and insightful User Experience (UX) designs, covering user research, information architecture, interaction design, visual guidance, and usability evaluation. It aims to produce actionable, user-centered solutions that avoid generic AI aesthetics.
tech-blog
Generates comprehensive technical blog posts, offering detailed explanations of system internals, architecture, and implementation, either through source code analysis or document-driven research.
lets-go-rss
A lightweight, full-platform RSS subscription manager that aggregates content from YouTube, Vimeo, Behance, Twitter/X, and Chinese platforms like Bilibili, Weibo, and Douyin, featuring deduplication and AI smart classification.
grail-miner
This skill assists in setting up, managing, and optimizing Grail miners on Bittensor Subnet 81, handling tasks like environment configuration, R2 storage, model checkpoint management, and performance tuning.
whisper-transcribe
Transcribes audio and video files to text using OpenAI's Whisper CLI, enhanced with contextual grounding from local markdown files for improved accuracy.
chrome-debug
This skill empowers AI agents to debug web applications and inspect browser behavior using the Chrome DevTools Protocol (CDP), offering both collaborative (headful) and automated (headless) modes.