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vocabulary-builder词汇生成器

Agent Skill

vocabulary-builder 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

37,797

周安装

1,529

GitHub Stars

公开资料未说明

下载量

11,865
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vocabulary-builder(词汇生成器)
来源仓库:https://github.com/winlinvip/vocabulary-builder
安装命令:
openclaw skills install vocabulary-builder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install vocabulary-builder

简介

从书籍播客等文本源构建个性化词汇积累体系。vocabulary-builder 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 支持新词收录、例句收集和复习提醒等完整学习闭环。
  • 可与阅读进度联动实现语境化词汇记忆效果优化。
  • 导入外部文本需手动标注生词位置增加使用复杂度。
  • 暂无自动发音功能需配合其他工具完成听力训练。

SKILL.md

name
vocabulary-builder
description
Build and review vocabulary from books, podcasts, and daily encounters. Use when the user wants to READ a book, shares a new word, asks about a word while reading a book, requests a vocabulary quiz, asks about word progress, or when a cron/heartbeat triggers a scheduled quiz. Handles reading sessions, word collection, 3-step learning, spaced repetition, and progress tracking.
metadata
{"url": "https://youtu.be/wjWrVpZZXSg", "files": {"vocabFile": "memory/vocabulary.md", "audioDir": "docs/tts-fr"}}

Vocabulary Builder

This skill reads and writes the following files (paths relative to workspace):

  • Vocabulary tracker: memory/vocabulary.md — all word data lives here
  • Audio clips directory: docs/tts-fr/ — read-only; user places pronunciation audio files here

Ensure these paths exist or create them before first use.

Reading Workflow

When the user wants to read/practice reading a book:

  1. Ask what book they're reading
  2. Check the vocabulary tracker for words from that book — read the END of the Active Words section (use tail or read the last entries) to find the actual last word. Note: memory_search may return partial/ranked results, so also verify by reading the file directly when checking the latest entry.
  3. Tell them the last word added + page number so they know where to continue
  4. Ask if they want to: practice pending words, or keep reading and add new ones

Adding New Words

When the user gives a new word:

  1. Give pronunciation in American English IPA first (for example: /ˈtrɑːli/)
  2. Give meaning — clear, simple
  3. Give synonyms — similar words they might know
  4. Add to tracker immediately unless the user says not to add it
  5. Show the word card after adding

Always prefer IPA over ad-hoc respelling in both the explanation and the word card. If a plain-English pronunciation hint is helpful, include it only after the IPA, not instead of it.

If the user says they are focusing on pronunciation, ask which words they confuse (for example: seem / same / sim). In pronunciation-focused mode:

  • Treat the set as a single comparison entry if the user's goal is sound comparison, not three separate vocabulary items
  • Show each word's pronunciation separately in the reply and in the word card
  • Record the entry with a combined title like ### seem / same / sim
  • Use the Meaning field to explain how to pronounce the words and what sound difference to notice, not the usual vocabulary meaning
  • Keep the pronunciation explanation short, practical, and contrast-focused
  • If the user does not provide a sentence, generate very very simple context lines for each word
  • Use the shared book/page/context the user gives

Add to the ## Active Words section, at the END (before --- separator for Long-Term Review).

Word Entry Format

### [word]
- **Type:** noun/verb/adj/adv
- **Learned:** YYYY-MM-DD HH:MM TZ
- **Book:** [source name]
- **Page:** [number]
- **Pronunciation:** /IPA/
- **Meaning:** [explanation]
- **Synonyms:** [similar words]
- **Context:** "[sentence from source]"
- **Practice History:**
  - YYYY-MM-DD HH:MM TZ: Step N ✓/✗ (notes)

Pronunciation Comparison Entry Format

### [word 1] / [word 2] / [word 3]
- **Type:** pronunciation comparison set
- **Learned:** YYYY-MM-DD HH:MM TZ
- **Book:** [source name]
- **Page:** [number]
- **Pronunciation:**
  - **[word 1]** — /IPA/
  - **[word 2]** — /IPA/
  - **[word 3]** — /IPA/
- **Meaning:** Short pronunciation guidance explaining the sound difference (for example: `[word 1]` has /iː/, `[word 2]` has /eɪ/, `[word 3]` has /ɪ/)
- **Synonyms:** pronunciation set, minimal comparison set
- **Context:**
  - **[word 1]:** "[very simple sentence]"
  - **[word 2]:** "[very simple sentence]"
  - **[word 3]:** "[very simple sentence]"
- **Practice History:**

French Words

  • Context: French sentence only
  • English Translation: Separate field with English translation
  • Do NOT mix French and English in the same field
  • User places audio clips in docs/tts-fr/ → add Audio field with the file path

3-Step Learning Process

Run all 3 steps in one conversation flow (not spread across hours):

  • Step 1: Show the plain word + review count (e.g. "reviewed 0 times" or "reviewed 3 times") → ask "Do you know the pronunciation?" → user types word to confirm
  • Step 2: Ask "What does it mean?" → check if correct/close enough
  • Step 3: Ask user to write a sentence using the word

Trust-based pronunciation — no voice/ASR check. User types word to confirm.

Pronunciation-Focused Practice

If the user wants pronunciation practice instead of meaning-first vocabulary study:

  • Ask which words they confuse
  • Show the pronunciation for each word clearly, using IPA first
  • Highlight the key sound contrast briefly
  • Explain how to say the sounds (mouth shape, long/short vowel, tongue or lip position when useful) instead of focusing on dictionary meaning
  • Record the set as one pronunciation comparison entry when that is more useful than separate entries
  • Use very simple example sentences in the Context field, one short line per word when possible
  • Do not force the normal meaning-first 3-step flow for a pure pronunciation comparison request

Spaced Repetition Schedule

After completing all 3 steps, review at:

  • Next day → 3 days → 1 week → 2 weeks → 1 month → 3 months
  • After 3-month review: word is mastered

Word Progression

Words move through three sections in the tracker:

  1. Active Words — currently learning
  2. Long-Term Review Words — completed all steps, in spaced review
  3. Mastered Words — passed all reviews through 3 months

Quiz Rules

  • One word per quiz — no rapid-fire
  • No spam: If no reply to previous quiz today → don't send new one
  • Reset next day: New day = can send quiz even if yesterday's unanswered
  • Sleep hours: No messages 11 PM – 7 AM (user's timezone)
  • Priority: due for review > newer words (incomplete steps) > refresher

Random Word Selection

  1. Count each word's total practice history entries (all steps and reviews combined)
  2. Sort all words by review count ascending (least reviewed first)
  3. Take the group with the minimum review count
  4. Within that group, randomize: count words (N), use (current_timestamp_ms % N) + 1 to pick position
  5. Never pick the same word twice in a row. Check Quiz State for the last quizzed word and skip it.

Always show review count when quizzing: e.g. "(reviewed 0 times)" or "(reviewed 3 times)".

On-Demand Quizzes

User can request specific quizzes anytime — these override normal priority and spam rules:

  • "Quiz me" → random word
  • "Quiz me on [word]" → specific word
  • "Quiz me on words from [book]" → random from that book
  • "Quiz me on words from this week" → last 7 days
  • "Quiz me on [book] page [N] to [M]" → page range
  • "Give me 3 quizzes" → run 3 words in a row

On-demand refresher: If no words are due/pending, pick random word from all learned words. Still record quiz date.

Quiz State Tracking

Keep a ## Quiz State section at the top of the tracker file:

## Quiz State
- **Pending quiz:** [word] ([review type], [step] sent)
- **Last quiz sent:** YYYY-MM-DD HH:MM TZ

Update after each quiz interaction.

Cron Setup

When the user asks to set up a scheduled vocabulary quiz:

  1. Ask for: frequency (default: every 1h), delivery channel + target
  2. Job name: vocabulary-quiz-{agentName} (e.g. vocabulary-quiz-english)
  3. Create a cron job with these settings:

- Session: isolated - Timeout: 120 seconds - Message: instruct the agent to use the vocabulary-builder skill to run a quiz

  1. Quiz constraints (include in the cron message):

- Check Quiz State — skip if pending quiz unanswered today - Respect sleep hours: no messages 11PM–7AM (user's timezone)

References

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.61%
按下载量换算11,581

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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