activeinferenceinstitute/start/aii

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START — Scalable, Tailored Active-inference Research & Training. An AI-powered system for creating personalized Active Inference and FEP curricula. Pipeline: research (Perplexity) → curriculum generation (OpenRouter) → visualization → translation.

Install

npx vskill@latest install activeinferenceinstitute/start/aii

SKILL.md

START — Active Inference Curriculum Generator

Overview

START generates professional-grade Active Inference curricula using:

  • Perplexity API for real-time domain/entity research
  • OpenRouter API for LLM-based content generation and translation
  • Matplotlib/Seaborn for visualization
  • Multilingual output (11+ languages with script mapping)

Quick Start

bash
git clone https://github.com/ActiveInferenceInstitute/Start.git
cd Start
 
# Install dependencies
uv sync --all-extras --dev
 
# Run tests
uv run pytest -q
 
# Run the curriculum generation pipeline (interactive)
uv run python learning/curriculum_creation/generate_custom_curriculum.py
 
# Or use the browser GUI
uv run python learning/curriculum_creation/generate_curriculum_gui.py
 
# Or run individual pipeline stages:
uv run python learning/curriculum_creation/1_Research_Domain.py
uv run python learning/curriculum_creation/1_Research_Entity.py
uv run python learning/curriculum_creation/2_Write_Introduction.py
uv run python learning/curriculum_creation/3_Introduction_Visualizations.py
uv run python learning/curriculum_creation/4_Translate_Introductions.py

Architecture

src/common/    — Shared utilities (io, paths, config, prompts, logging)
src/config/    — Language configuration
src/perplexity/— LLM API clients (Perplexity + OpenRouter), domain/entity/curriculum/translation
src/repos/     — Repository cloning for Active Inference ecosystem
src/system/    — Environment setup, dependency checking, reporting
src/terminal/  — Matrix-themed CLI (animations, colors, menu)
src/visualization/ — Curriculum metrics visualization

Pipeline scripts under learning/curriculum_creation/ are thin orchestrators that import from src/ modules.

Configuration

  • data/config/domains.yaml — Domain definitions (keywords, categories, priorities)
  • data/config/entities.yaml — Entity/audience profiles
  • data/config/languages.yaml — Translation targets and script mappings
  • data/prompts/*.md — Prompt templates with {{variable}} substitution

Key Facts

  • Test suite — all tests use real local protocols and temporary data
  • Provider tests — local HTTP completion servers exercise the production client
  • Standalone — not dependent on the template infrastructure
  • Path structure: outputs under data/
  • Documentation: 23+ docs pages, AGENTS.md per subpackage

Security

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  • Model reviewPassed

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Source

Popularity

Repository stars
6
Repository forks
2
7-day trend score
15

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