Q-SYS specs, configuration, wiring, compatibility, and fault articles in one offline index - answering equipment-list questions no QSC website can take as input.

Apache-2.0Auto-check: notes

Install Pp Qsys

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

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

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-qsys --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-qsys .claude/skills/pp-qsys && 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-qsys
GitHub stars
2.1k
Token cost
~8k tokens
SKILL.md length
3,446 words
Files
1
Skills in repo
505
Repo updated
First seen
Licence
Apache-2.0

At a glance

Q-SYS specs, configuration, wiring, compatibility, and fault articles in one offline index - answering equipment-list questions no QSC website can take as input.

  • Works in 6 steps: recall before any discovery → decision tree → always read warnings → …
  • Phrases: q-sys specs
  • SKILL.md covers Prerequisites: Install the CLI, When to Use This CLI, Anti-triggers and Unique Capabilities, plus 6 more sections
  • Calls go, claude and npx

What it does

Pp Qsys is an agent skill from mvanhorn/printing-press-library. 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.

Its SKILL.md is about 8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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: 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

Example prompts

  • “/pp-qsys”

Requirements

  • Node.js
  • 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 0fdcc7a. 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 no API keys, tokens, secrets or passwords.

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

Context cost

Pp Qsys loads about 8k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 3,446 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~8k

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 0fdcc7a, republished under its Apache-2.0 licence (© mvanhorn). 3,446 words, ~7,966 tokens.

Download SKILL.mdSave it as .claude/skills/pp-qsys/SKILL.md (or your agent's skills folder).
name
pp-qsys
description
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`.
allowed-tools
Read, Bash
author
drummerms
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/qsys/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/". -->

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.

Show full SKILL.md (1,435 more words)Show less
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:

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.

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

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

© 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-qsys of mvanhorn/printing-press-library.

Open the folder on GitHubat commit 0fdcc7a

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Questions about Pp Qsys

What does Pp Qsys do?

Q-SYS specs, configuration, wiring, compatibility, and fault articles in one offline index - answering equipment-list questions no QSC website can take as input. Pp Qsys is an agent skill from mvanhorn/printing-press-library. Q-SYS specs, configuration, wiring, compatibility, and fault articles in one offline index - answering equipment-list questions no QSC website can take as input.

When should I use Pp Qsys?

Pp Qsys fits situations like: 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.

How do I install Pp Qsys in Claude Code?

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

How do I install Pp Qsys in Codex?

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

Can I use Pp Qsys 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-qsys -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-qsys, .gemini/skills/pp-qsys, .github/skills/pp-qsys and .opencode/skills/pp-qsys in your project.

What does Pp Qsys need to run?

Going by SKILL.md and its folder, Pp Qsys needs the command-line tools its instructions call (go, claude and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Qsys 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 Qsys 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 Qsys use?

Pp Qsys 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 Qsys use?

About 8k tokens (SKILL.md is roughly 32k 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 Qsys?

Skills that share tags, products or a category with Pp Qsys: Frontend Slides (zarazhangrui/frontend-slides, 30k stars), Algorithmic Art with p5.js (anthropics/skills, 180k stars), Canvas Design (anthropics/skills, 180k stars) and Impeccable (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pp Qsys?

mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,053 GitHub stars. The repository holds 505 skills in this directory. The repository was last updated on October 7, 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.