learnflow-ai
Turn expert knowledge into lectures, notes, and course materials
All Skills in This Repository (7)
Pure Emerald Level Indicatorslangfuse
Access Langfuse API resources and documentation via the Langfuse CLI.
schema-guided-reasoning
Enforce predefined Pydantic schemas and constrained decoding for structured LLM reasoning.
prompt-engineering
Design precise system prompts for LLMs with roles, constraints, and examples.
aidd-methodology
Document architecture, contracts, and constraints before coding in AI-driven projects.
uv-package-manager
Manage Python dependencies across UV monorepos and workspaces.
langgraph-patterns
Automate dynamic LangGraph workflows with routing, HITL, and checkpointing.
structure
Organize educational content into modular structures with defined learning objectives.
Frequently Asked Questions
FAQPage SchemaHow to install learnflow-ai?▼
Run `npx skills add Bbar0n234/learnflow-ai --all -g -y` in your terminal to install all skills in this suite globally.
What does LearnFlow AI do for teachers?▼
It turns your expertise and raw materials into lectures, notes, slides, and course plans while remembering project context between sessions.
How does the Knowledge Sphere memory work?▼
The agent stores project decisions, terminology, and materials as structured, editable records, so each new session continues exactly where the last one stopped.
Can it format student reports to GOST standards?▼
Yes. The gost-lab-report skill generates Markdown and assembles a .docx with correct GOST 7.32 styling and a university title page.
Does it work with self-hosted models?▼
Yes. It supports any OpenAI-compatible endpoint, including on-prem vLLM, and can be fully self-hosted with Docker.
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