HankanmanCommunity·16 Agent Skills Included

Area-Occupancy-Detection

Develop and debug a Bayesian room occupancy integration

Guides development, debugging, and release of a Home Assistant integration that detects room occupancy using Bayesian probability. Covers the probability math, configuration system, diagnostics tooling, testing rules, and historical bug patterns so changes are made safely. Eliminates guesswork when fixing stuck occupancy, wrong priors, or decay issues by providing verified formulas and step-by-step runbooks.

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npx skills add Hankanman/Area-Occupancy-Detection --all -g -y

Available:

Gives your AI agent the project's architecture, development commands, testing rules, and coding constraints so it can safely modify the occupancy detection integration.

All Skills in This Repository (16)

Pure Emerald Level Indicators

📦 In Repo

Hankanman

aod-architecture-contract

Explain Area Occupancy Detection architecture, probability logic, and database schema.

aod-validation-and-qa

Automate validation and QA for Area Occupancy Detection code changes.

aod-proof-and-analysis-toolkit

Validate probability and statistics calculations in the Area Occupancy Detection codebase.

aod-learning-accuracy-campaign

Diagnose and resolve occupancy learning accuracy issues in Home Assistant.

bayesian-occupancy-reference

Document Bayesian probability calculations for Area Occupancy Detection.

aod-diagnostics-and-tooling

Monitors and analyzes Area Occupancy Detection system performance in Home Assistant, diagnosing sensor errors and pipeline issues.

aod-build-and-env

Automate setup, reset, and debugging of the local Area Occupancy Detection environment.

aod-run-and-operate

Manage the Area Occupancy Detection integration for Home Assistant.

aod-config-and-flags

Manage and debug Area Occupancy Detection configuration settings and CONF_* catalog.

aod-docs-and-writing

Manage Area Occupancy Detection project documentation with Markdown formatting and style guidelines.

aod-research-methodology

Validate AOD Bayesian math hypotheses through adversarial testing and empirical evidence.

aod-change-control

Manage code review, versioning, and release processes for the Area Occupancy Detection codebase.

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Advanced

Frequently Asked Questions

FAQPage Schema

How to install Area-Occupancy-Detection skills?▼

Run `npx skills add Hankanman/Area-Occupancy-Detection --all -g -y` in your terminal to install all skills in this suite globally.

What is Area Occupancy Detection?▼

It is a Home Assistant custom integration that combines motion, media, door, and environmental sensors using Bayesian probability to detect whether a room is actually occupied, learning from your habits over time.

How do these skills help developers?▼

They give your coding agent verified formulas, architecture maps, debugging runbooks, and validation rules so it can fix bugs or add features without breaking the probability math or user configs.

Can it diagnose wrong occupancy readings?▼

Yes. The diagnostics skills explain how to read the Home Assistant diagnostics export, health repair issues, and debug logs to find why an area is stuck occupied or showing wrong probabilities.

Do these skills work with Claude Code and Cursor?▼

Yes. All skills follow the standard SKILL.md format and work in Claude Code, Cursor, Codex, and other compatible coding agents.