# Pp Qsys

> Q-SYS specs, configuration, wiring, compatibility, and fault articles in one offline index - answering equipment-list questions no QSC website can take as input. Trigger phrases: `q-sys specs`, `what q-sys designer version does this run on`, `how do I wire this q-sys`, `what does this q-sys fault mean`, `is this q-sys gear end of life`, `check this equipment list against q-sys designer`, `use qsys`, `run qsys`.

- Skill: `mvanhorn-printing-press-libra/pp-qsys` (Agent Skill)
- Install (CLI): `npx skillmds add mvanhorn-printing-press-libra/pp-qsys`
- Raw SKILL.md: https://api.skillmd.com/api/skills/mvanhorn-printing-press-libra/pp-qsys/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: Apache-2.0
- Author: mvanhorn (https://skillmd.com/u/mvanhorn-printing-press-libra)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/mvanhorn-printing-press-libra/pp-qsys

---

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# Q-SYS — Printing Press CLI

## Prerequisites: Install the CLI

This skill drives the `qsys-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 `$HOME/.local/bin` on macOS/Linux and `%LOCALAPPDATA%\Programs\PrintingPress\bin` on Windows:
   ```bash
   npx -y @mvanhorn/printing-press-library install qsys --cli-only
   ```
2. Verify: `qsys-pp-cli --version`
3. Ensure the reported install directory is on `$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/qsys/cmd/qsys-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.

QSC splits every integrator answer across three sites: qsys.com carries the spec-sheet PDFs where the electrical numbers live, help.qsys.com carries configuration and compatibility with zero electrical specs, and support.qsys.com carries the FAQ, application notes, and fault articles. None of them accepts a list of models. This CLI harvests all three into local SQLite, joins them per product, and answers spec, configuration, wiring, compatibility, and fault questions offline - including from a job site with no usable network.

## When to Use This CLI

Use this CLI for questions about Q-SYS equipment: what a product's specifications are, how to configure it, how to wire and network it, whether an equipment list runs on a given Q-SYS Designer version, and what a fault string on a Designer screen means. It is built for AV integrators, designers, and commissioning techs working from an equipment list, and it works fully offline once harvested, which matters on job sites with locked-down networks.

## Anti-triggers

Do not use this CLI for:
- Do not use this CLI to control a live Q-SYS Core - it never connects to hardware; use a QRC client library for that
- Do not use it to look up control pin names for Lua or QRC scripting - it indexes equipment documentation, not the schematic control surface
- Do not treat extracted spec text as authoritative for engineering sign-off - always confirm against the source PDF URL it returns
- Do not use it for pricing, availability, or lead times - it indexes documentation only
- Do not use it to create, revise, or version Q-SYS design files
- Do not run two qsys-pp-cli processes at once - concurrent invocations against the same store can crash with SIGBUS (upstream defect, cli-printing-press#4349). Invoke commands strictly serially: no parallel MCP tool calls, no `&` fan-out.

## Unique Capabilities

These capabilities aren't available in any other tool for this API.

### One record, three sources
- **`product get`** — See a Q-SYS product's specs, configuration pages, wiring guidance, known gotchas, and factory-reset procedure in one record.

  _Reach for this first for any question about a single model; it answers spec, config, wiring, and gotcha questions in one call instead of four._

  ```bash
  qsys-pp-cli product get CX-Q --agent
  ```
- **`connect`** — Get the networking, wiring, and I/O guidance that actually applies to a given model, including third-party application notes.

  _Use this for how-do-I-wire-this-in questions instead of reading an entire networking section._

  ```bash
  qsys-pp-cli connect TSC-70-G3 --agent
  ```

### Equipment-list answers no vendor site can give
- **`bom verify`** — One report per model in an equipment list: Designer-version support, end-of-life status, LTS carry date, and spec-sheet availability.

  _Use this before quoting to catch an unsupported or end-of-life part while a swap is still free._

  ```bash
  qsys-pp-cli bom verify CX-Q TSC-70-G3 NL-C4 --qds 10.0 --agent
  ```
- **`bom risks`** — Surface every known issue, awareness note, and troubleshooting article that touches any model on an equipment list, filtered to a Designer release.

  _Use this alongside bom verify to find the problems that are documented but not reflected in the compatibility matrix._

  ```bash
  qsys-pp-cli bom risks CX-Q TSC-70-G3 --qds 10.0 --agent
  ```
- **`compat check`** — Check a whole equipment list against a Q-SYS Designer version and get back what is supported and what is not.

  _Use this for the fast supported/not-supported answer when the client has standardized on a Designer version._

  ```bash
  qsys-pp-cli compat check CX-Q TSC-70-G3 NL-C4 --qds 10.0 --agent
  ```

### Release and fault intelligence
- **`qds`** — For one Q-SYS Designer release: known issues, LTS status and end date, and which hardware was removed.

  _Use this when deciding whether to standardize a site on a Designer release, or before recommending an upgrade._

  ```bash
  qsys-pp-cli qds 10.0 --agent
  ```
- **`fault`** — Paste the literal fault or status string Q-SYS Designer displays and get the article that explains it, plus the models it applies to.

  _Use this on site when Designer shows a fault and the job network cannot reach a search engine._

  ```bash
  qsys-pp-cli fault "LAN A Streaming Error - Not Connected" --agent
  ```

### Trust the local copy
- **`coverage`** — Report per source how many pages parsed, how many spec-sheet PDFs were linked versus actually text-extracted, and how many support articles were indexed.

  _Run this after a harvest; a drop in extracted-PDF count means specs silently stopped being searchable._

  ```bash
  qsys-pp-cli coverage --agent
  ```

## Command Reference

**harvest** — Build the local corpus (run this first)

- `qsys-pp-cli harvest` — walk all three vendor sitemaps (help.qsys.com, qsys.com, and support.qsys.com; roughly 750 help pages, 270 product pages, and 1,900 support articles, rate limited) and build the local corpus every other command reads
- `qsys-pp-cli harvest --only pages|products|compat|support` — harvest one source instead of all three
- `qsys-pp-cli harvest --only products --limit 25 --with-pdfs` — narrow the walk, and also download and text-extract spec-sheet PDFs (slower; needs `pdftotext`)
- `qsys-pp-cli harvest --only support` — harvest support.qsys.com; required for `fault`, `bom risks`, and `qds`

**Do not confuse `harvest` with `sync`.** Top-level `sync` walks the generated endpoint resources and refreshes entity lookups; it does not build the corpus. The Q-SYS corpus is three scraped websites plus a PDF layer that must be joined locally, and only `harvest` builds it. Run `qsys-pp-cli coverage` afterwards to confirm the harvest landed.

**compat** — Hardware and software compatibility matrices

- `qsys-pp-cli compat by-product` — List the Q-SYS Designer versions and compatibility notes for a hardware product, per the compatibility matrix
- `qsys-pp-cli compat by-version` — List hardware support by Q-SYS Designer version
- `qsys-pp-cli compat deprecations` — List deprecated hardware and feature notices with the release in which each item was deprecated
- `qsys-pp-cli compat upgrade-path` — Show firmware and Q-SYS Designer upgrade path requirements, including the supported upgrade sequences

**networking** — Connection, wiring, and network setup guidance

- `qsys-pp-cli networking <topic>` — Fetch a Q-SYS networking or connection guidance page

**page** — Q-SYS Help documentation pages (configuration, networking, hardware)

- `qsys-pp-cli page get` — Fetch a Q-SYS Help documentation page as clean text
- `qsys-pp-cli page index` — Fetch the Q-SYS Help sitemap listing every documentation page

**product** — Q-SYS product pages and spec sheets on qsys.com

- `qsys-pp-cli product index` — Fetch the qsys.com sitemap listing every product page
- `qsys-pp-cli product page` — Fetch a qsys.com product page as clean text
- `qsys-pp-cli product resources` — List spec-sheet and manual PDF links for a product

**support** — Q-SYS support knowledge base: FAQ, application notes, awareness, troubleshooting, error/status messages

- `qsys-pp-cli support article` — Fetch a Q-SYS support article as clean text
- `qsys-pp-cli support index` — Fetch the support.qsys.com sitemap listing every knowledge-base article


### Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

```bash
qsys-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

### First run: build the corpus

```bash
qsys-pp-cli harvest --timeout 900s
qsys-pp-cli coverage
```

`harvest` walks all three vendor sitemaps (help.qsys.com, qsys.com, and support.qsys.com) into the local corpus; every other command reads it. `coverage` then reports how many products resolved a spec sheet, how many pages parsed, and how many support articles were indexed, so an incomplete harvest is visible instead of silent. Narrow a first pass with `--only products --limit 25`, add `--with-pdfs` when spec-sheet text is needed, and use `--only support` for the knowledge base that `fault`, `bom risks`, and `qds` read.

### Pre-quote sweep across an equipment list

```bash
qsys-pp-cli bom verify CX-Q TSC-70-G3 NL-C4 --qds 10.0 --agent
```

Returns one row per model with version support, end-of-life status, LTS carry date, and spec-sheet URL.

### Find the documented problems on a list

```bash
qsys-pp-cli bom risks CX-Q TSC-70-G3 --qds 10.0 --agent
```

Surfaces known-issue, awareness, and troubleshooting articles touching any model on the list.

### Resolve a fault string from a Designer screen

```bash
qsys-pp-cli fault "LAN A Streaming Error - Not Connected" --agent
```

Matches the literal string against error/status and troubleshooting article titles and bodies.

### Narrow a verbose product record for an agent

```bash
qsys-pp-cli product get CX-Q --agent --select model,family,spec_pdf_url,discontinued
```

Product records carry full spec-sheet text; --select trims the payload so an agent does not burn context on prose.

### Decide whether to standardize on a Designer release

```bash
qsys-pp-cli qds 10.0 --agent
```

Known issues, LTS status and end date, and hardware removed in that release.

## Auth Setup

No authentication required.

Run `qsys-pp-cli doctor` to verify setup.

## Agent Mode

Add `--agent` to any command. Expands to: `--json --compact --no-input --no-color`.

- **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
  qsys-pp-cli networking mock-value --agent
  ```
- **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
- **Read-only** — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests

### 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 `QSYS_HOME=<dir>` to relocate all four path kinds under one root.
- Use per-kind env vars only when a specific kind must diverge: `QSYS_CONFIG_DIR`, `QSYS_DATA_DIR`, `QSYS_STATE_DIR`, `QSYS_CACHE_DIR`.
- Resolution order is per-kind env var, `--home`, `QSYS_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 `qsys-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": {
      "qsys": {
        "command": "qsys-pp-mcp",
        "env": {
          "QSYS_HOME": "/srv/qsys"
        }
      }
    }
  }
  ```

Fleet precedence: an inherited per-kind env var overrides an explicit `--home` for that kind. Use `QSYS_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 `QSYS_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
qsys-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>", "qsys-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 `qsys-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 one call at a time
       (never in parallel - see the concurrency anti-trigger)

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; `qsys-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 `qsys-pp-cli sync` to refresh entity lookups. Note that top-level `sync` only walks the generated endpoint resources and refreshes lookups — it does not build the corpus. If local reads are also coming back empty, run `qsys-pp-cli harvest` first; that is the corpus builder.
- Top-level `no_learnings_for_query_family`: the table had no rows above the Jaccard floor. Pure cold start.

### 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
qsys-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.
qsys-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).
qsys-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
qsys-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

`qsys-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.
- `QSYS_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:

```
qsys-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
qsys-pp-cli feedback --stdin < notes.txt
qsys-pp-cli feedback list --json --limit 10
```

Entries are stored locally as `feedback.jsonl` under the resolved data dir. They are never POSTed unless `QSYS_FEEDBACK_ENDPOINT` is set AND either `--send` is passed or `QSYS_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:

| Sink | Effect |
|------|--------|
| `stdout` | Default; 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.

```
qsys-pp-cli profile save briefing --json
qsys-pp-cli --profile briefing networking mock-value
qsys-pp-cli profile list --json
qsys-pp-cli profile show briefing
qsys-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

| Code | Meaning |
|------|---------|
| 0 | Success |
| 2 | Usage error (wrong arguments) |
| 3 | Resource not found |
| 5 | API error (upstream issue) |
| 7 | Rate limited (wait and retry) |
| 10 | Config error |

## Argument Parsing

Parse `$ARGUMENTS`:

1. **Empty, `help`, or `--help`** → show `qsys-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/qsys/cmd/qsys-pp-mcp@latest
   ```
2. Register with Claude Code:
   ```bash
   claude mcp add qsys-pp-mcp -- qsys-pp-mcp
   ```
3. Verify: `claude mcp list`

## Direct Use

1. Check if installed: `which qsys-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
   qsys-pp-cli <command> [subcommand] [args] --agent
   ```
4. If ambiguous, drill into subcommand help: `qsys-pp-cli <command> --help`.

