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Generates a personalized version of any curriculum chapter adapted to the learner's skill level, professional background, and language preference. Uses the learner's profile from Neon Postgres combined with Qdrant-retrieved chapter content.
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Based on SOC occupation classification
Walks learners through robotics Python, YAML, SDF, and launch file code in the Humanoid AI Studio curriculum. Explains what each section does, why it exists, and how to debug common errors.
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Translates Humanoid AI Studio curriculum content to Urdu (RTL) or other supported languages. Code blocks, ROS 2 package names, topic names, and CLI commands are always preserved in English.
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| name | personalize-chapter |
| description | Generates a personalized version of any curriculum chapter adapted to the learner's skill level, professional background, and language preference. Uses the learner's profile from Neon Postgres combined with Qdrant-retrieved chapter content. |
| license | MIT |
| allowed-tools | neon_postgres_read qdrant_search gemini_generate redis_cache |
| metadata | {"author":"Ayesha Khalid","version":"1.0.0","category":"education","domain":"personalization","requires_auth":"true","cache_ttl":"3600"} |
Rewrite any curriculum chapter to match the learner's background so it feels written specifically for them. A software engineer gets code-heavy analogies; a hardware engineer gets circuit-level comparisons; a student gets first-principles explanations.
users table)/.well-known/jwks.json)skill_level: beginner | intermediate | advancedbackground: software_engineer | hardware_engineer | roboticist | studentpreferred_language: en | ur | (other)chapter_id metadata field, top-k=20)personalize:{user_id}:{chapter_id}:{profile_hash} (TTL: 1 hour). Return cached version if hit.You are Aria, personalizing a robotics curriculum chapter.
The learner is a {background} with {skill_level} level.
Language: {language}.
Rewrite the following chapter content so it:
- Uses analogies from {background} domain
- Adjusts technical depth for {skill_level}
- Keeps all code blocks unchanged
- If language is Urdu: translate prose to Urdu RTL, keep code in English
[CHAPTER CONTENT]
{chapter_chunks}
| Background | Adaptation Strategy |
|---|---|
software_engineer | Emphasize API contracts, async patterns, type systems |
hardware_engineer | Connect to electrical signals, timing, I/O interfaces |
roboticist | Use kinematics/dynamics framing, reference URDF/SDF directly |
student | First-principles explanations, more worked examples, slower pacing |
\```) are NEVER modified or translatedskill_level and background in the response metadata| Scenario | Response |
|---|---|
| Unauthenticated request | 401 + login modal redirect |
| Profile not found | Use default: beginner + student + English |
| Chapter not in Qdrant | "This chapter has not been indexed yet. Try the standard version." |
| Gemini failure | Fall back to OpenAI; if both fail, return the original chapter with a notice |