humanoid-ai-studio
humanoid-ai-studio contains 9 collected skills from ayeshakhalid192007-dev, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
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.
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.
Retrieval-Augmented Generation tutor that answers learner questions using Qdrant vector search over the Humanoid AI Studio curriculum. Grounds every answer in the course content before generating a response via Google Gemini.
Step-by-step ROS 2 Humble Hawksbill guidance for the Humanoid AI Studio curriculum. Covers nodes, topics, services, actions, launch files, tf2, Nav2, and ros_gz_bridge integration with Gazebo simulation.
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.
Detects bugs in Better Auth + OAuth 2.1 PKCE login flows. Use this skill when the user reports login failures, "page not found" on auth routes, sign-up/sign-in not working, token issues, or CORS/session errors in a Better Auth + Docusaurus + FastAPI stack. Runs a static analysis script and matches symptoms against a curated bug reference.
Performs comprehensive frontend runtime verification including dev server status, dependency integrity, error scanning, asset validation, routing checks, and automatic fixes for common issues.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Advanced code analysis skill with perception, reasoning, and planning capabilities. This skill should be used when performing systematic codebase analysis, interpreting user requirements, making informed decisions, and providing actionable insights with probabilistic reasoning capabilities.