Menu
SkillsMP has collected 16 skills from Hankanman/Area-Occupancy-Detection. Open a skill to review its source and details.
Showing 16 of 16 collected skills.
Use when scoping new research, a thesis/blog post, a grant-style pitch, or a "what should we work on next" planning session for Area Occupancy Detection — maps open, unproven "beyond state-of-the-art" problems (reliability vs raw sensors, per-home transition…
Use when you need to MEASURE what Area Occupancy Detection is actually doing instead of guessing — downloading and reading the HA diagnostics export, interpreting a health/repair issue, reading hourly-analysis debug logs, or using the simulator to compare a…
Use when turning a hunch, user report, or measurement into an accepted change to AOD's Bayesian/learning math — deciding whether a root-cause theory is proven, designing the discriminating experiment (DB query, simulator run, or predicted-numbers test),…
Use when you need to understand WHY Area Occupancy Detection is built the way it is before changing coordinator.py, area/area.py, utils.py, data/analysis.py, data/decay.py, data/entity.py, or anything under db/ — the single-coordinator-many-areas design, the…
Use when setting up, resetting, or debugging the local development environment for Area Occupancy Detection — bootstrap fails, `uv sync` errors, wrong Python version, ruff or pytest behaving differently locally vs CI, uv.lock showing unexpected diffs,…
Use before opening, reviewing, or merging any PR against Area Occupancy Detection (AOD) — especially anything touching Bayesian math (utils.py sigmoid pipeline), priors, decay/half-life, likelihoods, config schema (const.py CONF_*/DEFAULT_*), the config-entry…
Use when adding, renaming, removing, or debugging any CONF_* / DEFAULT_* configuration key, config_flow.py schema, strings.json/translations entry, migrations.py version bump, or sensor default in Area Occupancy Detection; when a user reports a setting "not…
Use when triaging a live Area Occupancy Detection symptom report — occupancy stuck on/won't clear, occupancy won't turn on, probability pinned at 0.99 or 0.01, wrong or spammy repair issues, a config setting that seems to be "ignored" (especially decay…
Use when writing or editing anything under docs/docs/ (mkdocs site), README.md, CONTRIBUTING.md, CHANGELOG.md, docstrings, commit messages, PR titles, or GitHub Release notes for Area Occupancy Detection — or when a code change needs an accompanying doc…
Use when writing or reviewing anything that positions Area Occupancy Detection (AOD) against the rest of the Home Assistant ecosystem — README claims, release notes, "how is this different from X" answers, comparisons to HA core's bayesian platform or…
Use before touching decay half-life, prior/global-prior calculation, sensor-health repairs, sleep-presence detection, recorder/DB write volume, adjacent-areas, timezone/DST-sensitive datetime code, or the config-flow advanced-options gating — to check whether…
Executable, decision-gated campaign for making learned priors and likelihoods (global prior, 168 time-priors, per-sensor P(E|H) from correlation analysis, decay half-life resolution) trustworthy on real homes. Load this when a user reports "prior stuck at…
Use when you are about to touch, review, or debug any probability/statistics math in Area Occupancy Detection (priors, likelihoods, decay half-lives, logit-space boosts, correlation confidence, timezone/interval bucketing) and need to hand-verify the numbers…
Use when you need to actually run the integration or its satellite tools — launch the devcontainer's Home Assistant instance, add an area through the config-flow UI, enable debug logging, find the SQLite DB, read or interpret the hourly analysis pipeline's…
Use when writing, reviewing, or deciding what evidence is required for ANY change to Area Occupancy Detection — before opening a PR, when asked "is this tested enough?", when adding a test for math/behavior/config/DB code, when coverage or CI is failing, or…
Load when you need the actual math behind Area Occupancy Detection's probability engine — logit-space evidence combination, prior composition (global/time/purpose-floor), exponential decay half-lives, the sleep awake/asleep half-life switch, wasp-in-box state…