Agent skill

Pp Home Assistant

by mvanhorn in mvanhorn/printing-press-library

Safe household actions, offline memory, and evidence-backed answers on top of the full Home Assistant control surface.

Apache-2.0Auto-check: notes

Install Pp Home Assistant

skills CLI
$ npx skills add mvanhorn/printing-press-library --skill pp-home-assistant -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-home-assistant --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-skills/pp-home-assistant .claude/skills/pp-home-assistant && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pp-home-assistant
GitHub stars
2.1k
Token cost
~7.4k tokens
SKILL.md length
2,987 words
Files
1
Skills in repo
506
Repo updated
First seen
Licence
Apache-2.0

At a glance

Safe household actions, offline memory, and evidence-backed answers on top of the full Home Assistant control surface.

  • Works in 6 steps: recall before any discovery → decision tree → always read warnings → …
  • Phrases: turn the apartment into movie-night mode
  • SKILL.md covers Prerequisites: Install the CLI, When to Use This CLI, Anti-triggers and Unique Capabilities, plus 7 more sections
  • Calls go, claude and npx; needs HASS_TOKEN

What it does

Pp Home Assistant is an agent skill from mvanhorn/printing-press-library. Safe household actions, offline memory, and evidence-backed answers on top of the full Home Assistant control surface. Trigger phrases: turn the apartment into movie-night mode, which windows are open, why did my automation fail, check my Home Assistant health, use Home Assistant, run Home Assistant.

Its SKILL.md is about 7.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Home Assistant. The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.

When your agent uses it

  • Phrases: turn the apartment into movie-night mode
  • Which windows are open
  • Why did my automation fail
  • Check my Home Assistant health

Example prompts

  • “/pp-home-assistant”

Requirements

  • Node.js
  • A credential in HASS_TOKEN
  • Pre-approved tools (allowed-tools): Read, Bash

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. recall before any discovery
  2. decision tree
  3. always read warnings
  4. teach & after finalizing your response - always
  5. playbooks - optional flags, automatic synthesis
  6. playbook amend & when your debug response identifies a correction

What it can do on your machine

Read from SKILL.md and the folder at commit d9a1696. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go
    • claude
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • HASS_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pp Home Assistant loads about 7.4k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 2,987 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~7.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mvanhorn/printing-press-library at commit d9a1696, republished under its Apache-2.0 licence (© mvanhorn). 2,987 words, ~7,398 tokens.

Download SKILL.mdSave it as .claude/skills/pp-home-assistant/SKILL.md (or your agent's skills folder).
name
pp-home-assistant
description
Safe household actions, offline memory, and evidence-backed answers on top of the full Home Assistant control surface. Trigger phrases: `turn the apartment into movie-night mode`, `which windows are open`, `why did my automation fail`, `check my Home Assistant health`, `use Home Assistant`, `run Home Assistant`.
allowed-tools
Read, Bash
author
avanderheyde
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/devices/home-assistant/SKILL.md,
     regenerated post-merge by tools/generate-skills/. Hand-edits here are
     silently overwritten on the next regen. Edit the library/ source instead.
     See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". -->

Home Assistant — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the home-assistant-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:
    bash
    npx -y @mvanhorn/printing-press-library install home-assistant --cli-only
  2. Verify: home-assistant-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:

bash
go install github.com/mvanhorn/printing-press-library/library/devices/home-assistant/cmd/home-assistant-pp-cli@latest

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

Match the useful breadth of hass-cli and ha-mcp, then add preview/apply/verify modes, routine debugging, reference linting, health hotspots, and household exception checks. The same typed Go command tree works for people, scripts, agents, and MCP clients.

When to Use This CLI

Use this CLI when an agent needs to inspect or control a Home Assistant household, debug routines, maintain a self-hosted installation, or answer questions that span multiple entities and histories. It is especially useful when changes must be previewed, machine-readable, and verified rather than guessed from friendly names.

Anti-triggers

Do not use this CLI for:

  • Do not use this CLI to control Apple's Home app or HomeKit devices that are not bridged into Home Assistant.
  • Do not use this CLI to bypass Home Assistant authentication or expose a private instance directly to the public internet.
  • Do not use destructive registry, restore, restart, or update commands without reviewing their dry-run or plan output.
  • Do not use local-only compound commands before syncing the required resources.

Unique Capabilities

These capabilities aren't available in any other tool for this API.

Safe household action
  • mode run — Preview a scene or script, run it, and verify every resulting entity state.

    Use this when an agent must change several household devices safely instead of firing an unverified scene or service call.

    bash
    home-assistant-pp-cli mode run movie-night --agent
Household awareness
  • house check — See open windows, unlocked locks, lights left on, low batteries, and unavailable safety devices in one answer.

    Use this for immediate household safety and comfort questions that span several entity domains.

    bash
    home-assistant-pp-cli house check --agent --select category,entity_id,friendly_name,area,state,severity
  • house recap — Review factual household activity, routine failures, presence changes, openings, and unavailable time for a recent period.

    Use this for a compact, evidence-based household summary that remains useful offline.

    bash
    home-assistant-pp-cli house recap --since 7d --agent
Routine intelligence
  • routine why — Reconstruct why an automation or script failed from traces, state changes, logbook entries, and errors.

    Use this when an agent needs evidence for one failed routine instead of dumping an opaque trace.

    bash
    home-assistant-pp-cli routine why automation.movie_night --agent
  • routine lint — Find missing entities, unavailable services, disabled dependencies, ambiguous names, and stale routine references.

    Use this before configuration changes or upgrades to catch deterministic breakage before Home Assistant executes a routine.

    bash
    home-assistant-pp-cli routine lint --agent
  • routine impact — See every automation, script, scene, helper, and service target affected by changing one entity or routine.

    Use this before renaming, disabling, or removing something that other household routines may depend on.

    bash
    home-assistant-pp-cli routine impact light.living_room --agent
Self-hosted maintenance
  • health hotspots — Group recurring unavailable, stale, low-battery, and disconnecting entities into device, room, integration, and radio hotspots.

    Use this when many entity symptoms may share one failing device, integration, room, or radio network.

    bash
    home-assistant-pp-cli health hotspots --agent
  • energy standby — Find devices drawing persistent power during explicit periods when related household states show inactivity.

    Use this to turn household energy history into a short list of actionable standby loads.

    bash
    home-assistant-pp-cli energy standby --since 7d --agent

Command Reference

calendars — Manage calendars

  • home-assistant-pp-cli calendars list — List calendars
  • home-assistant-pp-cli calendars list-events — List calendar events

components — Manage components

  • home-assistant-pp-cli components — List loaded components

config — Manage config

  • home-assistant-pp-cli config get-system-info — Get Home Assistant configuration and version
  • home-assistant-pp-cli config validate — Validate Home Assistant configuration

error-log — Manage error log

  • home-assistant-pp-cli error-log — Get current error log

events — Manage events

  • home-assistant-pp-cli events fire — Fire an event
  • home-assistant-pp-cli events list — List event types

history — Manage history

  • home-assistant-pp-cli history <timestamp> — Get entity history for a time window

intent — Manage intent

  • home-assistant-pp-cli intent — Handle an Assist intent

logbook — Manage logbook

  • home-assistant-pp-cli logbook <timestamp> — Get a logbook time window

services — Manage services

  • home-assistant-pp-cli services call — Call a Home Assistant service
  • home-assistant-pp-cli services list — List service domains and services

states — Manage states

  • home-assistant-pp-cli states delete — Remove a custom entity state
  • home-assistant-pp-cli states get — Get an entity state
  • home-assistant-pp-cli states list — List current entity states
  • home-assistant-pp-cli states set — Set a state for a custom entity

template — Manage template

  • home-assistant-pp-cli template — Render a Home Assistant template
Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
home-assistant-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.

Recipes

Check the home
bash
home-assistant-pp-cli house check --agent --select category,entity_id,friendly_name,area,state,severity

Narrow the whole-home exception report to the fields an agent needs to decide what to do next.

Preview movie night
bash
home-assistant-pp-cli mode run movie-night --dry-run --agent

Resolve the household mode and inspect every action without changing any device.

Explain a failed routine
bash
home-assistant-pp-cli routine why automation.movie_night --agent

Join the relevant trace, state, logbook, and error evidence into one incident timeline.

Review maintenance hotspots
bash
home-assistant-pp-cli health hotspots --agent

Group recurring symptoms into the devices, integrations, areas, or radios most likely to need attention.

Auth Setup

Set HASS_SERVER to your Home Assistant instance URL and HASS_TOKEN to a Long-Lived Access Token created from your Home Assistant profile. The CLI sends the token as a bearer credential to REST and as an access token during WebSocket authentication; it never prints or syncs the token.

Run home-assistant-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

  • Pipeable — JSON on stdout, errors on stderr

  • Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    home-assistant-pp-cli calendars list --agent --select id,name,status
  • Previewable — --dry-run shows the request without sending

  • Offline-friendly — sync/search commands can use the local SQLite store when available

  • Non-interactive — never prompts, every input is a flag

  • Explicit retries — use --idempotent only when an already-existing create should count as success, and use --ignore-missing only when a missing delete target should count as success

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Paths and state

Agents should treat the CLI's path resolver as part of the runtime contract:

  • Use --home <dir> for one invocation, or set HOME_ASSISTANT_HOME=<dir> to relocate all four path kinds under one root.

  • Use per-kind env vars only when a specific kind must diverge: HOME_ASSISTANT_CONFIG_DIR, HOME_ASSISTANT_DATA_DIR, HOME_ASSISTANT_STATE_DIR, HOME_ASSISTANT_CACHE_DIR.

  • Resolution order is per-kind env var, --home, HOME_ASSISTANT_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.

  • config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.

  • Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.

  • Run home-assistant-pp-cli doctor --fail-on warn to surface path and credential-location warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.

  • For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:

    json
    {
      "mcpServers": {
        "home-assistant": {
          "command": "home-assistant-pp-mcp",
          "env": {
            "HOME_ASSISTANT_HOME": "/srv/home-assistant"
          }
        }
      }
    }

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use HOME_ASSISTANT_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing HOME_ASSISTANT_HOME, or doctor will not find credentials left under the former root.

Automatic learning

This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.

Step 1: recall before any discovery

Before list/search/drill commands on a new user question, run:

bash
home-assistant-pp-cli recall "<user's question>" --agent

The response envelope:

json
{
  "query": "...",
  "normalized": "<normalized form>",
  "query_entities": ["..."],
  "found": true | false,
  "match_score": 0.0,
  "results": [
    { "resource_id": "...", "resource_type": "...", "venue": "...",
      "confidence": 2, "entity_match": "exact|partial|unknown",
      "source": "taught|preseed|pattern", "warnings": ["..."] }
  ],
  "mismatches": [ /* only when --debug-mismatches */ ],
  "warnings": [ /* top-level */ ],
  "candidates": [
    { "id": 12, "class": "flag_alias | playbook_candidate",
      "summary": "...", "sightings": 3, "last_seen": "...",
      "rationale": "...",
      "next_action": ["<trial command>", "home-assistant-pp-cli learnings confirm 12"] }
  ],
  "playbook": {
    "query_family": "...",
    "playbook": {
      "steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
      "entity_slots": ["$ENTITY"],
      "expected_tool_calls": 3
    },
    "slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
    "notes": "<workarounds + gotchas for this query family>"
  },
  "notes": "<duplicate surface for non-playbook callers>"
}

Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.

Step 2: decision tree

Read candidates, playbook, notes, results[0], and warnings in that order:

if Candidates present (warnings include "candidates_present"):
    -> candidates are try-then-confirm, never facts. Follow each candidate's
       two-step next_action verbatim: run the trial command first, then run
       `learnings confirm <id>` only after the trial verified the behavior.
       Reject a wrong candidate with `learnings reject <id>`.
    -> NEVER re-teach something recall surfaced as a candidate; confirm or
       reject that candidate instead of teaching a duplicate.
    -> candidates ride alongside playbooks and resource hits, not instead of
       them; continue with the branches below after acting on them.

if Playbook present:
    -> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
    -> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
       for the entity slot tokens. If a step's slot is unresolved, fall back to
       discovery for that step only.
    -> the Playbook's expected_tool_calls is a budget; if you find yourself running
       materially more, record the divergence via `home-assistant-pp-cli playbook amend`
       at end-of-session.

elif Notes present (no Playbook):
    -> read Notes verbatim before any discovery step; they carry known gotchas
       for this query family even when no structured choreography exists yet.

elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
    -> skip discovery; fetch live data for Results[*].ResourceID in parallel

elif Found AND Results[0].EntityMatch == "partial":
    -> candidate hint, NOT a hit; read the resource title to validate before trusting

elif (any row in Mismatches[] when --debug-mismatches was passed):
    -> treat as cold start; the stored learning is for a different entity
       (different canonical resolved from query_entities)

else:  // Found == false, no playbook, no notes
    -> cold start; run discovery normally; teach the answer afterward (Step 4).
       If the family has no playbook yet, that teach auto-synthesizes a
       playbook candidate from this session's journal - you do not need to
       record one by hand.

Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.

Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; home-assistant-pp-cli learnings candidates lists the full open set.

Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.

Step 3: always read warnings
  • low_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.
  • resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.
  • cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.
  • similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.
  • ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.
  • candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.
  • lookup_refresh_available (top-level): an entity in the query has no lookup row yet, but synced data could provide one. Run home-assistant-pp-cli sync to refresh entity lookups.
  • Top-level no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.
Show full SKILL.md (1,210 more words)Show less
Step 4: teach & after finalizing your response - always

Teaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately:

bash
home-assistant-pp-cli teach --query "<user's question>" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)

Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.

PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.

Step 5: playbooks - optional flags, automatic synthesis

You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:

bash
# Common case: record both the resource learning AND the playbook in one call.
home-assistant-pp-cli teach \
  --query "<user's question>" \
  --resource <id> \
  --playbook-file ~/playbooks/<shape>.json \
  --playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)

# Alternate: playbook-only (no resource to record alongside).
home-assistant-pp-cli teach-playbook \
  --query "<user's question>" \
  --playbook-file ~/playbooks/<shape>.json \
  --notes-file ~/playbooks/<shape>-notes.md

Playbook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.

When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.

Step 6: playbook amend & when your debug response identifies a correction

If your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach.

bash
home-assistant-pp-cli playbook amend \
  --query "<exact recall query string>" \
  --add-note "<your concrete correction>"
# (append shell `&` to background it)

What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:

  • A workaround for a CLI surface that silently drops or misorders a flag.
  • An undocumented endpoint shape (response wrapped in {meta, results}, payload nested two levels deeper than the docs claim).
  • Observed schema drift (a field renamed, an index that shifted between seasons, a category label that the API now returns lower-cased).

What does NOT belong in notes:

  • The year-specific or entity-specific answer to the user's question. That's the response, not a learning.
  • Per-team / per-athlete / per-row data the playbook already retrieves at runtime.
  • Statements that paraphrase what the existing notes already say.

The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).

PII discipline for amend notes

playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:

  • Do NOT embed paths to user filesystems, personal API keys or tokens, user email addresses, user GitHub handles, or specific query histories tied to a single user.
  • Acceptable: endpoint shapes, undocumented field names, API gotchas, observed schema drift, workarounds for CLI surfaces, generalizable pagination or retry tactics.

If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.

Measuring the loop

home-assistant-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.

Disabling learning
  • --no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.
  • HOME_ASSISTANT_NO_LEARN=true in the environment globally disables the pipeline.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

home-assistant-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
home-assistant-pp-cli feedback --stdin < notes.txt
home-assistant-pp-cli feedback list --json --limit 10

Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless HOME_ASSISTANT_FEEDBACK_ENDPOINT is set AND either --send is passed or HOME_ASSISTANT_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.

home-assistant-pp-cli profile save briefing --json
home-assistant-pp-cli --profile briefing calendars list
home-assistant-pp-cli profile list --json
home-assistant-pp-cli profile show briefing
home-assistant-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
4Authentication required
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show home-assistant-pp-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

  1. Install the MCP server:
    bash
    go install github.com/mvanhorn/printing-press-library/library/devices/home-assistant/cmd/home-assistant-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add home-assistant-pp-mcp -- home-assistant-pp-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which home-assistant-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    home-assistant-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: home-assistant-pp-cli <command> --help.

© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-skills/pp-home-assistant of mvanhorn/printing-press-library.

Open the folder on GitHubat commit d9a1696

Compare with similar skills

Pp Home Assistant next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pp Home Assistant compared with similar skills
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PPTXrvdbreemen/OTGW-firmware20734 repos~2.3kAutomated safety check: PassProprietary
XLSXrvdbreemen/OTGW-firmware20735 repos~2.9kAutomated safety check: PassProprietary
Sap Extension Creatorheshengtao/super-agent-party2.7k—~6kAutomated safety check: PassAGPL-3.0
Ha Frontend Componentshome-assistant/frontend5.7k—~1.2kAutomated safety check: PassApache-2.0

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Works with

Questions about Pp Home Assistant

What does Pp Home Assistant do?

Safe household actions, offline memory, and evidence-backed answers on top of the full Home Assistant control surface. Pp Home Assistant is an agent skill from mvanhorn/printing-press-library. Safe household actions, offline memory, and evidence-backed answers on top of the full Home Assistant control surface.

When should I use Pp Home Assistant?

Pp Home Assistant fits situations like: phrases: turn the apartment into movie-night mode; which windows are open; why did my automation fail; check my Home Assistant health.

How do I install Pp Home Assistant in Claude Code?

Run `npx skills add mvanhorn/printing-press-library --skill pp-home-assistant -a claude-code`. Or copy the skill folder (cli-skills/pp-home-assistant in mvanhorn/printing-press-library) into .claude/skills/pp-home-assistant in your project. Claude Code loads it when a task matches its description.

How do I install Pp Home Assistant in Codex?

Run `npx skills add mvanhorn/printing-press-library --skill pp-home-assistant -a codex`. Or copy the skill folder (cli-skills/pp-home-assistant in mvanhorn/printing-press-library) into .agents/skills/pp-home-assistant in your project. Codex loads it when a task matches its description.

Can I use Pp Home Assistant in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-home-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-home-assistant, .gemini/skills/pp-home-assistant, .github/skills/pp-home-assistant and .opencode/skills/pp-home-assistant in your project.

What does Pp Home Assistant need to run?

Going by SKILL.md and its folder, Pp Home Assistant needs the command-line tools its instructions call (go, claude and npx) and credentials named HASS_TOKEN. Our summary lists: Node.js; A credential in HASS_TOKEN. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Home Assistant access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pp Home Assistant safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pp Home Assistant use?

Pp Home Assistant is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pp Home Assistant use?

About 7.4k tokens (SKILL.md is roughly 30k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pp Home Assistant?

Skills that share tags, products or a category with Pp Home Assistant: DOCX (rvdbreemen/OTGW-firmware, 207 stars), PPTX (rvdbreemen/OTGW-firmware, 207 stars), XLSX (rvdbreemen/OTGW-firmware, 207 stars) and Sap Extension Creator (heshengtao/super-agent-party, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pp Home Assistant?

mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.

Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.