orzcls

orzcls / PersonaLingo

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AI-powered personalized IELTS corpus distillation — install-only skill (zero-backend Agent loop) + runnable backend with QMD-RAG. 7-stage pipeline producing schema-validated corpus.json & static profile site.

agent-skill anthropic corpus distillation ielts
13
1
100% credibility
Found May 12, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

PersonaLingo is a web application that generates personalized IELTS speaking practice materials using AI based on user personality quizzes, interests, and exam goals.

How It Works

1
🏠 Discover PersonaLingo

You visit the home page and learn it's a friendly tool to create your own IELTS speaking practice materials based on your personality.

2
📝 Share about yourself

You fill out a simple questionnaire about your personality, hobbies, background, and exam goals so the AI understands you.

3
✨ Generate your corpus

With one click, the AI creates your personal set of stories, words, and phrases just for your speaking style.

4
📖 Explore your materials

You browse your custom anchors, bridges, vocabulary upgrades, and practice exercises tailored to you.

5
Chat to improve
📤
Export ready

Download your corpus as a webpage or shareable file to practice anywhere.

📚
View notes

See auto-generated summaries and mind maps of your progress.

🎉 Ready to speak confidently

You now have a personal IELTS speaking toolkit that feels like you, helping you practice naturally.

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Star Growth

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AI-Generated Review

What is PersonaLingo?

PersonaLingo is a Python-based AI tool that distills personalized IELTS speaking corpora from user questionnaires, uploaded materials, and chat histories, outputting structured JSON and static profile sites via a 7-stage pipeline. It tackles the pain of generic language prep by generating tailored anchors, bridges, vocab upgrades, and patterns matched to your MBTI, interests, and target band score (6.0-7.5+). Run it as a full Vue/FastAPI app with Docker or install as a zero-backend skill for AI agents like Claude via `npx skills add orzcls/PersonaLingo`.

Why is it gaining traction?

Its dual-mode delivery stands out: agent-ready prompts for instant use in ai powered chatbots, or a QMD-RAG backend for persistent chat/notes/mindmaps with topic banks. Developers dig the schema-validated exports for ai powered personalized learning systems, blending NotebookLM-style convos with band-specific strategies—no vector DBs needed. The hook? Seamless OpenAI/Anthropic switching and one-click Docker spins up a full ai-powered personalized learning platform.

Who should use this?

IELTS coaches building custom prep apps, AI agent tinkerers extending Cursor/Claude with language skills, or edtech devs prototyping ai powered personalized learning paths for speaking practice. Ideal for anyone tired of static flashcards wanting dynamic, profile-driven corpora that evolve via uploads and chats.

Verdict

Early alpha (13 stars, 1.0% credibility) with solid READMEs/Docker but light tests—grab for experiments if you're into ai powered github projects like personalized IELTS agents. Skip for production until more polish.

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