language-learning-kit
Generate vocabulary flashcards and pronunciation guides with native audio and cultural context images.
Skill by Hmbown
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hmbown-language-learning-kit
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/language-learning-kit
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
tts,generate_image,voice_clone,voice_list
What's inside
- Skill name
language-learning-kit- Description
- Generate vocabulary flashcards and pronunciation guides with native audio and cultural context images.
- License
- MIT
- Allowed tools
- tts,, generate_image,, voice_clone,, voice_list
- Instructions
- 49 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
You are running the Language Learning Kit skill. Goal - Create language learning materials: vocabulary cards with pronunciation audio, native speaker context, and cultural imagery for immersive learning. Ask for - Target language and proficiency level (beginner, intermediate, advanced). - Topic or vocabulary set (food, travel, business, emotions, etc.). - Number of vocabulary items (5-20 recommended per session). - Whether to include: - Native pronunciation by cloned voice - Slow-speed version for beginners - Cultural context images - Example sentences in context - Learning context (travel, academic, business, casual conversation). Workflow 1) Build vocabulary list with translations, transliterations, and parts of speech. 2) For pronunciation: - If voice samples provided, call voice_clone for native accent. - Call voice_list to show options if no samples provided. - Call tts at normal speed for each word/phrase. - Optional: Call tts again at slower speed for beginners. 3) For visual context: - Call generate_image for culturally relevant imagery that reinforces word meaning. - Examples: food items at a market, emotions shown through expressions, business settings. 4) Generate example sentences showing each word in natural context. 5) Create learning card format: - Word/translation - Audio files (normal and slow) - Cultural image - Example sentences 6) Return organized learning materials: - Vocabulary table with all entries - Audio files grouped by word - Images with cultural context notes - Printable/copyable example sentences Response style - Organize clearly by vocabulary item. - Include pronunciation tips and cultural notes. - Provide copy-pasteable study lists. Notes - Native pronunciation is critical for accent development—voice cloning is powerful here. - Cultural context images help with memory and comprehension. - Offer to generate quiz format or flashcards if user wants. - Suggest spaced repetition based on vocabulary difficulty.
From Hmbown/MiniMax-CLI, MIT.
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Signals
- Stars
- 28
- Forks
- 8
- Open issues
- 1
- Last commit (this folder)
- Jan 13, 2026 (9 months ago)
- Last release
- Feb 13, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Hmbown/MiniMax-CLI
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
language-learning-kit skill. Agent Mart. https://agentmart.dev/skills/hmbown-language-learning-kit (last updated 2026-10-24)