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Setup Infrastructure

Community
dcb
setup-infrastructure

Run when setting up this repo for the first time, configuring HA connection, or verifying the infrastructure still works. Trigger phrases: "set up my HA", "configure connection", "first time setup", "run setup", "reconnect to HA", "my token stopped working", "verify my setup".

Overview

Publisherdcb
Repositoryhomeassistant-claude-kit
Skill namesetup-infrastructure
Stars
125
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dcb on GitHub. Read the source before you install it.

Installation

Install the Setup Infrastructure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dcb/homeassistant-claude-kit/tree/main/.claude/skills/setup-infrastructure
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dcb/homeassistant-claude-kit.git /tmp/homeassistant-claude-kit
mkdir -p .claude/skills
cp -r /tmp/homeassistant-claude-kit/.claude/skills/setup-infrastructure .claude/skills/setup-infrastructure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup Infrastructure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Setup Infrastructure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Setup Infrastructure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Setup Infrastructure

This skill configures the mechanical layer: HA API connectivity, SSH access, and initial config pull. It is idempotent — run it any time to verify or repair the connection without affecting your actual configuration.

Step 1: Data Consent & Privacy Mode

Only ask once per session. If the user already consented during an earlier invocation of this skill in the same conversation, skip this step entirely.

1a. Data consent — Before reading any Home Assistant data, inform the user:

"This skill will connect to your Home Assistant instance and read your entity registry, automation configs, and documentation files. This data is sent to Anthropic's API as part of this Claude conversation. See PRIVACY.md for full details. Continue? (yes / no)"

If the user says no, stop here and explain they can still use the repo manually.

1b. Privacy mode offer — Only ask if consent was given. Only ask once per session.

First check if privacy mode is already active: test -f .claude/privacy-patterns. If it is, say "Privacy mode is already enabled" and skip the offer.

If not active, ask:

"Would you like to enable privacy mode? This blocks Claude from directly reading your credentials, personal data files, and runtime state. Setup still works — shell commands handle connectivity. You can toggle this later with make privacy-on / make privacy-off. Enable privacy mode? (yes / no)"

If yes: cp .claude/privacy-patterns.example .claude/privacy-patterns If no: proceed without it.

Step 2: Check .env

Check whether .env exists in the repo root:

bash
test -f .env && echo "exists" || echo "missing"

If missing: Tell the user to copy .env.example to .env and fill in:

VariableDescriptionExample
HA_TOKENLong-lived access token (HA → Profile → Security → Long-Lived Access Tokens)eyJ...
HA_URLYour HA URL (local or remote)http://homeassistant.local:8123
HA_HOSTSSH hostname, IP, or SSH config aliashomeassistant.local or ha
SSH_USERSSH add-on user (usually root)root
HA_REMOTE_PATHRemote config directory (see note below)/config/ or /homeassistant/
VITE_GO2RTC_URLgo2rtc URL (camera streams) — leave empty if not using camerashttp://homeassistant.local:1984

HA_REMOTE_PATH note: HA OS with the SSH add-on typically uses /homeassistant/, while HA Container/Supervised uses /config/. If unsure, the SSH test in Step 4 will auto-detect the correct path.

IMPORTANT: The .env file must NOT use inline comments on value lines (e.g. HA_HOST=foo # comment). Makefile's include treats everything after = as the value, including # ... text. Use only full-line comments (lines starting with #).

Wait for the user to fill in .env before continuing.

If exists and privacy mode is OFF: Load the values and proceed.

If exists and privacy mode is ON (test -f .claude/privacy-patterns): Tell the user: "Privacy mode is active — I can't read .env directly. Please verify it has HA_TOKEN, HA_URL, HA_HOST, SSH_USER filled in. The next step will validate your connection." Then proceed to Step 3 — the curl test validates the values work via source .env (shell sourcing is intentionally not blocked by privacy mode).

Step 3: Validate HA API Token

Test the HA API is reachable:

bash
source .env && curl -sf -H "Authorization: Bearer $HA_TOKEN" "$HA_URL/api/" | python3 -c "import sys,json; d=json.load(sys.stdin); print('HA version:', d.get('version','unknown'))"
  • Success: Print the HA version and continue.
  • Failure: Show the curl error. Common fixes:
    • Token expired → generate a new one at HA → Profile → Security
    • Wrong URL → check if HA is running, try http:// vs https://
    • Network unreachable → ensure you're on the same network, or check VPN/Nabu Casa

Step 4: Validate SSH Connectivity

Test SSH access (required for make pull / make push).

IMPORTANT: Always include $SSH_USER@ in the SSH command. The .env has a separate SSH_USER variable (usually root) — do NOT connect as the local macOS/Linux user.

bash
source .env && ssh -o ConnectTimeout=5 -o BatchMode=yes "$SSH_USER@$HA_HOST" "echo ok" 2>&1
  • Success (ok): Continue to auto-detect HA_REMOTE_PATH.
  • Permission denied (publickey): SSH key not authorized. Run:
    bash
    source .env && ssh-copy-id "$SSH_USER@$HA_HOST"
    Or manually add ~/.ssh/id_rsa.pub (or id_ed25519.pub) to the SSH add-on's authorized keys in HA Settings → Add-ons → SSH & Web Terminal → Configuration.
  • Connection refused / No route to host: SSH add-on not running or wrong hostname. Check HA Settings → Add-ons → SSH & Web Terminal → Start.

Auto-detect HA_REMOTE_PATH

After SSH is confirmed working, verify that HA_REMOTE_PATH points to the correct directory:

bash
source .env && ssh "$SSH_USER@$HA_HOST" "test -f ${HA_REMOTE_PATH:-/config/}configuration.yaml && echo 'PATH_OK' || echo 'PATH_WRONG'"

If PATH_WRONG: Try the HA OS default path:

bash
source .env && ssh "$SSH_USER@$HA_HOST" "test -f /homeassistant/configuration.yaml && echo '/homeassistant/' || (test -f /config/configuration.yaml && echo '/config/' || echo 'NOT_FOUND')"

Update HA_REMOTE_PATH in .env with the correct path before proceeding. If NOT_FOUND, ask the user to verify their HA configuration directory location.

Step 5: Generate Derived .env Files

Once HA API + SSH are confirmed working, generate the derived config files:

dashboard/.env.local (Vite dev server + runtime):

bash
source .env
cat > dashboard/.env.local << EOF
# AUTO-GENERATED by setup-infrastructure — do not edit manually
# Re-run the setup-infrastructure skill to regenerate.
VITE_HA_URL=$HA_URL
VITE_HA_TOKEN=$HA_TOKEN
VITE_GO2RTC_URL=$VITE_GO2RTC_URL
EOF

Confirm the file was written:

bash
echo "dashboard/.env.local written"
cat dashboard/.env.local

Step 6: Run make pull

Pull the current HA configuration to the local config/ directory:

bash
make pull

This syncs automations, scripts, configuration.yaml, and .storage/ (entity/area registry) from your HA instance. The .storage/ files are used by setup-customize for entity discovery.

If make pull fails:

  • Check that HA_REMOTE_PATH in .env is correct — HA OS uses /homeassistant/, Container uses /config/
  • Verify SSH access in Step 4 (remember to use $SSH_USER@$HA_HOST)
  • Check .env has no inline comments (breaks Makefile include)
  • Run make pull manually and share the error

Step 7: Verify Python Tooling

Check the Python validation tools work:

bash
python3 -m venv venv 2>/dev/null || true && source venv/bin/activate && pip install -q pyyaml 2>/dev/null && python tools/yaml_validator.py config/ && echo "Validation tools OK"

If this fails, ensure Python 3.10+ is installed.

Step 8: Install ha-api / ha-ws on HA

Install claude-code-ha CLI tools on the HA instance. These provide ha-api (REST) and ha-ws (WebSocket) for entity management, state queries, service calls, and entity renaming — all accessible via SSH.

bash
source .env
# Clone path adapts to HA_REMOTE_PATH (tools live alongside configuration.yaml)
ssh "$SSH_USER@$HA_HOST" "test -d ${HA_REMOTE_PATH}claude-code-ha && echo 'ALREADY_INSTALLED' || (cd ${HA_REMOTE_PATH} && git clone https://github.com/danbuhler/claude-code-ha.git && echo 'CLONED')"
ssh "$SSH_USER@$HA_HOST" "bash ${HA_REMOTE_PATH}claude-code-ha/install.sh"

Verify it works:

bash
source .env && ssh "$SSH_USER@$HA_HOST" "source /etc/profile.d/claude-ha.sh; source ${HA_REMOTE_PATH}.env; ha-api domains"

If this prints entity counts by domain, the tools are working.

Note: HA OS updates reset the root filesystem (symlinks, pip packages). The repo persists at ${HA_REMOTE_PATH}claude-code-ha/ but re-run the install script after each HA OS update: ssh "$SSH_USER@$HA_HOST" "bash ${HA_REMOTE_PATH}claude-code-ha/install.sh"

Step 9: Write setup-state.json Checkpoint

Write a checkpoint so setup-customize knows the infrastructure is ready:

python
import json, datetime, os

state = {
    "schema_version": 1,
    "infrastructure": {
        "ha_url": os.environ.get("HA_URL", ""),
        "configured_at": datetime.datetime.now().isoformat(),
        "steps_completed": ["env", "token", "ssh", "pull", "venv", "ha_tools"]
    },
    "session": {
        "current_phase": "infrastructure_complete",
        "can_resume": True
    }
}
with open("setup-state.json", "w") as f:
    json.dump(state, f, indent=2)
print("Checkpoint saved to setup-state.json")

Run this via: source .env && python3 -c "$(cat << 'PYEOF' ... PYEOF)"— using a quoted heredoc to avoid shell expansion issues with the.env` values.

Step 10: Stamp the kit version anchor

.kit-version records which kit version this install is based on, so the upgrade skill can later compute what changed. It ships with version: already set; this step fills in commit: (the exact kit commit the install is on) so upgrades have a precise, history-independent baseline. Idempotent and ZIP-safe — re-running changes nothing, and an install with no git history still works.

Rules:

  • Write only commit: — never touch version: (the shipped value is authoritative; the upgrade skill bumps it later). This avoids any producer/consumer ambiguity.
  • Stamp commit: only when it is empty/missing; never overwrite a non-empty value (an upgrade may have advanced it).
  • If there is no .git directory or no reachable remote (e.g. a ZIP download), leave commit: "" and continue — version: alone supports baselining. Do not error.
python
import re, subprocess, pathlib

kv = pathlib.Path(".kit-version")
if kv.exists():
    text = kv.read_text()
    m = re.search(r'^commit:\s*"?([^"\n]*)"?\s*$', text, re.M)
    current = (m.group(1) if m else "").strip()
    if not current:
        sha = ""
        try:
            sha = subprocess.run(["git", "rev-parse", "HEAD"], capture_output=True, text=True,
                                 timeout=5).stdout.strip()
        except Exception:
            sha = ""   # no git / ZIP install — leave commit empty, this is fine
        if sha:
            if m:
                text = re.sub(r'^commit:.*$', f'commit: "{sha}"', text, flags=re.M)
            else:
                text = text.rstrip() + f'\ncommit: "{sha}"\n'
            kv.write_text(text)
            print(f"Stamped .kit-version commit: {sha}")
        else:
            print("No git history (ZIP install?) — left .kit-version commit empty")
    else:
        print(f".kit-version already stamped (commit: {current}) — unchanged")
else:
    print(".kit-version not present — skipping stamp")

Completion

Tell the user:

"Infrastructure is ready. Your HA instance is connected and config has been pulled.

Next step: Run setup-customize to map your rooms and entities to the dashboard. Just say: 'set up my home' or 'run setup-customize'."

If the user asks about what was pulled, run ls config/ and show the directory structure.

Troubleshooting Reference

SymptomLikely causeFix
curl: (7) Failed to connectHA not reachableCheck URL, network, HA running
401 UnauthorizedBad/expired tokenGenerate new token in HA
ssh: connect to host ... port 22: Connection refusedSSH add-on offStart SSH add-on in HA
Permission denied (publickey)Key not authorizedssh-copy-id or add key manually
rsync: [Errno 2] No such fileWrong HA_REMOTE_PATHHA OS: /homeassistant/, Container: /config/
make: command not foundmacOS without Xcode toolsxcode-select --install
Permission denied (as local user)Missing SSH_USER@ in commandEnsure SSH_USER=root in .env
SSH works but make pull failsInline comments in .envRemove # ... from value lines

Frequently asked questions

What does the Setup Infrastructure AI skill do?

Run when setting up this repo for the first time, configuring HA connection, or verifying the infrastructure still works. Trigger phrases: "set up my HA", "configure connection", "first time setup", "run setup", "reconnect to HA", "my token stopped working", "verify my setup".

Why use Setup Infrastructure on TypingMind?

Because you install it once and use it with any model. Setup Infrastructure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Setup Infrastructure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dcb/homeassistant-claude-kit/tree/main/.claude/skills/setup-infrastructure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Setup Infrastructure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Setup Infrastructure?

As many as you like. As long as a model supports skills, you can use Setup Infrastructure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Setup Infrastructure AI skill free?

Yes. It is published on GitHub by dcb under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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