mcpbeat

Home Assistant Manager Skill for Claude

Manage Home Assistant configuration safely and fast — edit and deploy YAML (automations, blueprints, scripts, scenes, templates, MQTT), validate with ha core check, deploy via git or rapid scp, reload-vs-restart correctly, verify changes from logs, traces and entity state, and build Lovelace dashboards. Use for any Home Assistant config, automation, template, or dashboard work over SSH/hass-cli/MCP.

98k tokens
context cost
the whole folder, loaded on every use
4
files
instructions only
0
copies elsewhere
how many repositories repackaged it
768
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/komal-SkyNET/claude-skill-homeassistant --skill home-assistant-manager

The instruction itself

11 sections, as written by the author

Home Assistant Manager

Operate a remote Home Assistant instance precisely: make a change, get it live, prove it

worked. Optimize for the fewest safe round-trips.

Assumptions

  • The repo you're editing is the HA /config dir, git-connected to the instance.

Edits aren't live until pulled on the instance.

(project CLAUDE.md, ~/.ssh/config, or ask) and if it isn't recorded in the project

CLAUDE.md yet, add it so future sessions skip this step.

  • Access via one or more of: hass-cli (REST), SSH ha, or an MCP server (see below).
  • Only edit .yaml/.yml/.md. Never read/write .env or secrets.yaml; use !secret.

Remote access — pick the right tool

  • SSH ha — always works, needs no local env. Use for ha core check|restart|logs|info.
  • hass-cli (REST) — state/service calls, but needs HASS_SERVER/HASS_TOKEN in the

shell *before* the session starts. If they're unset, hass-cli falls back to the wrong

host (localhost) and errors — don't retry, check [ -n "$HASS_TOKEN" ] once, then use

SSH or MCP instead.

  • MCP (preferred when available) — first-class tools for live state/control, no env

juggling. Official mcp_server integration (HA core ≥2025.2) or community ha-mcp

(richer, 80+ tools). Use it instead of shelling out when present.

The deploy pipeline (the one canonical flow)

Changes are not live until step 4.

  • Edit YAML locally.
  • Validate: ssh [email protected] "ha core check" (slow, ~30-60s — see "when to

skip" below).

  • Commit + push: git add … && git commit -m "…" && git push.
  • Make it live: ssh [email protected] "cd /config && git pull".
  • Apply: reload if possible, else restart (table below).
  • Verify (next section).

Rapid iteration: skip git and scp straight to the instance, then reload — good for

dashboards and tight test loops. Commit to git only once stable.

scp automations.yaml [email protected]:/config/ → reload.

When to skip ha core check: it parses the whole config and is slow. For an isolated

YAML edit you're confident in, a domain reload surfaces errors faster and the logs tell

you immediately. Always run it before a *restart* or for configuration.yaml changes.

Reload vs restart

| Change | Action |

|--------|--------|

| automations, scripts, scenes, groups, template entities, themes | reload the domain (hass-cli service call automation.reload, etc.) |

| configuration.yaml core, new integrations, platform sensors (min/max), MQTT sensor/binary_sensor platforms, dashboard registry (lovelace_dashboards) | restart (ssh … "ha core restart", ~30s) |

Prefer reload. Never restart without a passing ha core check. Before risky changes

(core configuration.yaml surgery, removing an integration), snapshot first — it's cheap:

ssh [email protected] "ha backups new --name pre-<change>".

Verify — don't assume it worked

  • Reload/restart the right domain.
  • For automations, trigger manually for instant feedback:

hass-cli service call automation.trigger --arguments entity_id=automation.<id>

(or call the service via MCP). This bypasses conditions by default — it proves the

actions, not the gate. To test conditions too, pass skip_condition: false or exercise

the real trigger, then read the automation's trace in the UI.

  • Read the logs filtered to your change:

ssh [email protected] "ha core logs | grep -iE '<name>|error' | tail -20".

Good: Running automation actions, Executing step …. Bad: `Invalid data for

call_service, TypeError, Template variable warning, Error executing script`.

  • Confirm the real outcome: device/sensor state (hass-cli state get <entity>), or ask

the user for notification-type actions.

  • On error: fix → re-pull/scp → reload → re-check. Loop until clean.

Automations — write modern syntax

HA 2024.10 renamed the keys; legacy syntax still works but don't emit it in new code:

top-level triggers:/conditions:/actions: (plural), trigger: not platform: inside a

trigger, action: not service: for calls. Every automation gets a stable id: (traces

and UI editing need it) plus an alias.

Full automation reference (syntax table, mode: behavior, blueprints, trace debugging,

pitfalls) → read reference/automations.md when writing or

debugging automations.

Templates — the precision rules

  • Always coerce types before comparing: states('sensor.x') | int(0) < 7. Bare states are

strings; '5' < 7 raises TypeError. Provide a default (int(0)) so startup None

doesn't error.

  • Test in Developer Tools → Template before committing.
  • state_attr(...) returns None if the entity/attr is missing — guard it.

Conventions

  • Surgical edits; preserve comments; 2-space indent.
  • Validate before restart; prefer reload; verify from logs.
  • Use context7 MCP for current HA docs before non-trivial or unfamiliar config.

Dashboards

Lovelace dashboards live in .storage/lovelace.* (JSON). UI edits show on a browser refresh;

direct file edits (scp/git) may not appear until a ha core restart — HA caches the

lovelace store in memory. Adding a *new* dashboard to .storage/lovelace_dashboards also needs

a restart. scp + refresh is the fast loop; validate JSON first:

python3 -m json.tool .storage/lovelace.x > /dev/null. After deploying, **validate the UI

visually in the browser** (see the reference) — logs/state won't catch a broken card or a

mis-sorted popup.

Full dashboard reference (view types, card catalog, template cards, tablet layout,

pitfalls, debugging) → read reference/dashboards.md when doing

UI work. Modern HA: native sections view (drag-drop grid, badges, heading cards) and

feature-rich tile cards now cover most needs without custom cards; reach for Mushroom

only when you want its specific look.

Quick reference

# Validate / apply
ssh [email protected] "ha core check"
ssh [email protected] "ha core restart"
ssh [email protected] "cd /config && git pull"     # make pushed changes live

# Logs
ssh [email protected] "ha core logs | grep -iE 'error|<name>' | tail -20"

# State / services (needs env loaded, or use MCP)
hass-cli state get <entity>
hass-cli service call <domain>.reload
hass-cli service call automation.trigger --arguments entity_id=automation.<id>

# Rapid deploy
scp <file>.yaml [email protected]:/config/ && hass-cli service call automation.reload

Other skills for the same job

different authors, same section of the catalogue
Modal
by christophacham
×3

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

17k tokens
Github Workflow Automation
by ComeOnOliver
×3

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

9k tokens
Gcloud
by Dicklesworthstone
×2

Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.

2k tokens
Backend Architect
by ComeOnOliver
×2

Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.

7k tokens
Modal
by ComeOnOliver
×2

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

37k tokens
Aspire
by github
vendor ×1

Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.

21k tokens
Bigquery Pipeline Audit
by github
vendor ×1

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.

1k tokens
Msstore CLI
by github
vendor ×1

Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.

4k tokens

How to use it

Copy the folder

Take komal-skynet/home-assistant-manager from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.