Extron — Printing Press CLI
Prerequisites: Install the CLI
This skill drives the extron-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:
- Install via the Printing Press installer. It defaults binaries to
$HOME/.local/binon macOS/Linux and%LOCALAPPDATA%\Programs\PrintingPress\binon Windows:npx -y @mvanhorn/printing-press-library install extron --cli-only - Verify:
extron-pp-cli --version - Ensure the reported install directory is on
$PATHfor 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 1.26.5 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:
go install github.com/mvanhorn/printing-press-library/library/devices/extron/cmd/extron-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.
Extron publishes spec sheets and manuals at extron.com, but finding them means browser tabs, letter-scoped tables, and a WAF that blocks plain curl. extron-pp-cli syncs the whole literature catalog into a local database, then lets you list, search, download, and track revisions from the terminal — including what's new (literature recent), which downloaded docs went stale (literature updates), and which doc types a rack's models are missing (catalog completeness).
When to Use This CLI
Use extron-pp-cli whenever an agent or integrator needs Extron spec sheets, user manuals, design/product guides, Declarations of Conformity, or Revit BIM families for a project — browsing the official literature library, checking what changed, assembling doc sets for a rack, or verifying downloaded PDFs are current and complete.
Anti-triggers
Do not use this CLI for:
- Do not use this CLI to control or configure Extron AV devices (SIS/TCP, SSH, IP Link web interfaces) — this CLI covers literature only.
- Do not use this CLI for Extron firmware files or software downloads — the literature library does not include them.
- Do not use this CLI for non-Extron documentation or generic AV manuals.
Unique Capabilities
These capabilities aren't available in any other tool for this API.
Local catalog that compounds
catalog sync— Build the local Extron literature catalog, walking the alphabetical index the site only exposes a letter at a time. Barecatalog syncfetches the first index page per letter bucket — a fast baseline of roughly 1,200 documents, with large categories truncated at the page-1 ceiling.--fullfollows each category's pagination and is what produces the complete catalog (roughly 3,600 documents and up). A failed letter bucket is retried and skipped rather than aborting the crawl, so a 36-bucket--fullwalk survives a flaky bucket.Run this first — every local read depends on it, and it is not the same command as top-level
sync.extron-pp-cli catalog sync --full --timeout 15m --max-duration 4h --jsonliterature updates— See which downloaded spec sheets and manuals have a newer revision available upstream, so project shares never run stale docs.Use this before commissioning or re-quoting to catch docs superseded since the last sync.
extron-pp-cli literature updates --dir ./docs --jsoncatalog completeness— Per-model gap report across Brochure, Declaration of Conformity, Design Guide, Product Guide, Manual, and Revit BIM — see which doc types each model is missing.Use it before a bid submittal or commissioning checklist to catch missing compliance or reference docs.
extron-pp-cli catalog completeness --bom ./rack.csv --jsonliterature recent— Newest Extron literature across the whole library, ordered by date, filterable by category and age.Use it to track manual/firmware-doc releases without re-checking the website.
extron-pp-cli literature recent --days 30 --category manual --json --select title,date,category,urlliterature family— Browse every document for a product family (DTP, MAV, IPL, DVS, ...) across all alphabetical letters at once.Use it to pull every doc for a family before writing control code or a design guide review.
extron-pp-cli literature family dtp --jsoncatalog verify— Compare local PDF sizes against the download ledger to flag truncated or mismatched downloads.Use it after a batch download or sync to confirm every PDF landed complete and current.
extron-pp-cli catalog verify --dir ./docs --json
Project-driven assembly
literature rack— Assemble the full official doc set for every model in a rack bill of materials — report or batch-download in one pass.Use it when a project's doc binder must match the exact gear list on the job.
extron-pp-cli literature rack --bom ./rack.csv --download --dir ./docs
Command Reference
catalog sync — Build the local literature catalog (run this first)
extron-pp-cli catalog sync— fetch the first index page per letter bucket (0-9, A-Z). A fast baseline of roughly 1,200 documents, not the complete catalog: any category with more than one page of results is truncated at the page-1 ceiling.extron-pp-cli catalog sync --full— also follow each category's pagination. This is what produces the complete catalog (roughly 3,600 documents and up). Slower; budget it with--max-duration.extron-pp-cli catalog sync --letters A,B,C— narrow to specific letter bucketsextron-pp-cli catalog sync --full --max-duration 4h --retries 3— long crawl with a bigger overall budget and more per-letter retries
Use bare catalog sync to get something searchable quickly; use --full before any answer that depends on the catalog being complete — a rack doc binder, a completeness report, or a bid compliance check. --max-pages caps pagination per category and truncates in the same way --full's absence does, so leave it unset for a genuinely complete crawl.
A letter bucket that fails is retried (--retries, default 2) and then skipped, so one bad bucket does not discard the rest of the crawl. Skipped buckets are listed in the summary's errors array and counted in letters_failed; the run exits non-zero only when every bucket failed, or when --strict is passed. The root --timeout bounds each letter bucket; --max-duration (default 30m) bounds the whole crawl.
Do not confuse catalog sync with the top-level sync. Top-level sync walks the generated literature endpoint resource and refreshes entity lookups — it does not build the catalog. Only catalog sync populates the store that search, catalog completeness, catalog verify, literature recent, and literature updates read.
literature — Extron literature library index (spec sheets, manuals, guides)
extron-pp-cli literature— Fetch the alphabetical literature index for a letterextron-pp-cli literature list— List literature from the local catalog, filterable by category and letterextron-pp-cli literature get— Resolve a product or document name to its official Extron literatureextron-pp-cli literature download— Download official spec sheets and manuals as PDFsextron-pp-cli literature recent— Newest literature across the whole library, ordered by dateextron-pp-cli literature updates— See which downloaded docs have a newer revision upstreamextron-pp-cli literature family— Every document for a product family (DTP, MAV, IPL, DVS, ...)extron-pp-cli literature rack— Assemble the full doc set for every model in a rack BOM
catalog — Local-catalog reporting
extron-pp-cli catalog completeness— Per-model gap report across Brochure, Declaration of Conformity, Design Guide, Product Guide, Manual, and Revit BIMextron-pp-cli catalog verify— Compare local PDF sizes and revisions against the download ledger
Finding the right command
When you know what you want to do but not which command does it, ask the CLI directly:
extron-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. Under --json/--agent, an unmatched query returns exit 0 with an empty matches array.
Recipes
First run: build the catalog
Everything local — search, literature list, catalog completeness, catalog verify — reads the catalog this builds, so run it before trusting any local result. There are two passes, and the difference matters:
# Fast baseline: first index page per letter bucket, ~1,200 docs.
# Large categories are truncated here — this is NOT the complete catalog.
extron-pp-cli catalog sync
# Complete catalog: follows every category's pagination, ~3,600 docs and up.
extron-pp-cli catalog sync --full --timeout 15m --max-duration 4h --json
Run the --full pass before any answer that depends on completeness — a rack doc binder, a completeness report, a bid compliance check. If you only ran the baseline, a document that exists at Extron can be missing from local search with no error to tell you.
--timeout bounds each letter bucket, --max-duration bounds the whole crawl. Failed buckets are retried and then skipped; check letters_failed and errors in the summary, then re-run just those buckets:
extron-pp-cli catalog sync --letters A,Q --full --timeout 15m
What did Extron release this month
extron-pp-cli literature recent --days 30 --json --select title,date,category,url
Agent-friendly list of the newest docs with a narrow --select so the payload stays small.
Stale-doc sweep before commissioning
extron-pp-cli literature updates --dir ./docs --download --dry-run
See which project PDFs are superseded and preview the re-download without touching disk.
Rack doc binder
extron-pp-cli literature rack --bom ./rack.csv --download --dir ./docs
Pull the full official doc set for every model on the job in one pass.
Family reference pull
extron-pp-cli literature family dtp --json
All DTP-family docs across every letter of the index, in machine-readable form.
Bid compliance check
extron-pp-cli catalog completeness --bom ./rack.csv --json
Which models are missing a Declaration of Conformity or manual before the submittal.
Auth Setup
No authentication required.
Run extron-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 —
--selectkeeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:extron-pp-cli literature --agent --select id,name,statusPreviewable —
--dry-runshows the request without sendingOffline-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:
{
"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 setEXTRON_HOME=<dir>to relocate all four path kinds under one root.Use per-kind env vars only when a specific kind must diverge:
EXTRON_CONFIG_DIR,EXTRON_DATA_DIR,EXTRON_STATE_DIR,EXTRON_CACHE_DIR.Resolution order is per-kind env var,
--home,EXTRON_HOME, XDG (XDG_CONFIG_HOME,XDG_DATA_HOME,XDG_STATE_HOME,XDG_CACHE_HOME), then platform defaults.configcontains settings likeconfig.tomland profiles.datacontainscredentials.toml,data.db, cookies, and auth sidecars.statecontains persisted queries, jobs, andteach.log.cachecontains regenerable HTTP/cache files.Stored secrets live in
credentials.tomlunder the data dir. Existing legacyconfig.tomlsecrets are read for compatibility and leaveconfig.tomlon the first auth write.Run
extron-pp-cli doctor --fail-on warnto surface path and credential-location warnings.agent-contextexposes a schema v4pathsblock for agents that need the resolved dirs.For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:
{ "mcpServers": { "extron": { "command": "extron-pp-mcp", "env": { "EXTRON_HOME": "/srv/extron" } } } }
Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use EXTRON_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 EXTRON_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:
extron-pp-cli recall "<user's question>" --agent
The response envelope:
{
"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>", "extron-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 `extron-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; extron-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 atconfidence<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 viaentity_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 acandidatessection. 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. Runextron-pp-cli syncto refresh entity lookups. Note that top-levelsynconly walks the generatedliteratureendpoint and refreshes lookups — it does not build the catalog. If local reads are also coming back empty, runextron-pp-cli catalog syncfirst; 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:
extron-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:
# Common case: record both the resource learning AND the playbook in one call.
extron-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).
extron-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.
extron-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
extron-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-learnon a single command short-circuits bothrecalland theteachwrite path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.EXTRON_NO_LEARN=truein the environment globally disables the pipeline.
Agent Feedback
When you (or the agent) notice something off about this CLI, record it:
extron-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
extron-pp-cli feedback --stdin < notes.txt
extron-pp-cli feedback list --json --limit 10
Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless EXTRON_FEEDBACK_ENDPOINT is set AND either --send is passed or EXTRON_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.
extron-pp-cli profile save briefing --json
extron-pp-cli --profile briefing literature
extron-pp-cli profile list --json
extron-pp-cli profile show briefing
extron-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:
- Empty,
help, or--help→ showextron-pp-cli --helpoutput - Starts with
install→ ends withmcp→ MCP installation; otherwise → see Prerequisites above - Anything else → Direct Use (execute as CLI command with
--agent)
MCP Server Installation
- Install the MCP server:
go install github.com/mvanhorn/printing-press-library/library/devices/extron/cmd/extron-pp-mcp@latest - Register with Claude Code:
claude mcp add extron-pp-mcp -- extron-pp-mcp - Verify:
claude mcp list
Direct Use
- Check if installed:
which extron-pp-cliIf not found, offer to install (see Prerequisites at the top of this skill). - Match the user query to the best command from the Unique Capabilities and Command Reference above.
- Execute with the
--agentflag:extron-pp-cli <command> [subcommand] [args] --agent - If ambiguous, drill into subcommand help:
extron-pp-cli <command> --help.