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pp-immovlan

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Updated 10-16 06:49

About this skill

Immovlan — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the immovlan-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:
    npx -y @mvanhorn/printing-press-library install immovlan --cli-only
    
  2. Verify: immovlan-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:

go install github.com/mvanhorn/printing-press-library/library/other/immovlan/cmd/immovlan-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.

Reads the same server-rendered pages the immovlan.be site serves, with no login, and stores every result in SQLite. Field names mirror immoweb-pp-cli so a sourcing job can merge both portals, and same-as tells you which listings exist only on Immovlan. enrich fills the detail fields the search cards never show, and peb-trap, split-candidates and relisted answer the questions a property trader asks before calling an agency.

When to Use This CLI

Reach for this CLI when a task needs Belgian listings from Immovlan: searching a commune with price, bedroom and PEB filters, reading a listing's full details, tracking what is new or cheaper, or crossing Immovlan with Immoweb for a property trader's sourcing. It is the second portal next to immoweb-pp-cli in the brussels-peb-hunter job.

Anti-triggers

Do not use this CLI for:

  • Do not use it to contact sellers or agencies, place bids, or fill site forms (Turnstile-protected).
  • Do not use it for Immoweb, Zimmo or Biddit data; use immoweb-pp-cli or the Biddit feed in the sourcing job.
  • Do not use it for sold prices or market medians; Immovlan shows asking prices only.

Unique Capabilities

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

Cross-portal intelligence

  • same-as — Tell whether a stored Immovlan listing is also on Immoweb, at what price, or is Immovlan-only.

    Use it to dedupe a cross-portal sourcing run or to find Immovlan exclusives before calling an agency. Requires immoweb-pp-cli's local store (--immoweb-db or $IMMOWEB_PP_DB); run enrich --missing street first so addresses can match. Every row carries flat immoweb_id (0 when Immovlan-only), immoweb_url, immoweb_price, delta_pct, match_status (address / surface_bedrooms_agency / none) and immoweb_gone_status; the nested immoweb object exists on matched rows only and is dropped by --agent compaction, so agents read the flat fields.

    immovlan-pp-cli same-as --all --unmatched --postcode 1030 --agent
    
  • agencies — Which agencies list in a zone, their PEB F/G share, private-seller share and the CRM software behind each feed.

    Use it to see which feeds are syndicated (likely also on Immoweb) versus Rossel-exclusive. The software column stays ? until enrich has read the listing pages.

    immovlan-pp-cli agencies --postcode 1030 --epc F,G --agent
    

Motivated-seller signals

  • peb-trap — List PEB F or G properties that are currently rented: owners who can no longer re-let in Brussels since 2026.

    Use it when the question is which sellers are structurally motivated, not merely cheap. Needs enrich --missing epc,rented first; --include-unknown also lists F/G rows not yet enriched.

    immovlan-pp-cli peb-trap --postcode 1030,1210 --max-price 2500000 --agent
    
  • split-candidates — Houses large enough to divide, ranked by €/m² within their postcode, with land, year, PEB and rented flags.

    Use it for a trader who divides houses into apartments; find cannot filter by surface.

    immovlan-pp-cli split-candidates --min-surface 200 --postcode 1030 --agent
    

Local state that compounds

  • enrich — Fill missing detail fields (PEB letter, street, geo, rented, cadastral income, agency software) for many stored listings in one resumable pass.

    Run it after find and before peb-trap, same-as or split-candidates so their inputs exist.

    immovlan-pp-cli enrich --missing epc,rented --top 150 --agent
    
  • relisted — Listings that came back under a new reference, with their true first-seen date and price at each reference.

    Use it to expose a fake Nouveau before negotiating on ancienneté.

    immovlan-pp-cli relisted --since 90d --postcode 1030 --agent
    

Command Reference

listings — Immovlan listings: server-rendered search pages (20 cards per page) and detail pages

  • immovlan-pp-cli listings get — Fetch one listing page by reference (e.g. vbe69761); Immovlan redirects to the canonical URL. Returns the schema.
  • immovlan-pp-cli listings search — Search listings; returns the detail links of one result page (20 per page).

Sourcing workflow (hand-written, all read the local store data.db after find)

  • immovlan-pp-cli find — Search by type, deal, postcode/commune, price band, PEB band and sort; stores every card locally. Cards carry no street: run enrich for addresses.
  • immovlan-pp-cli show <ref> — One listing's detail (PEB letter, surface, price, publication date, rented, cadastral income, agency or private).
  • immovlan-pp-cli photos <ref> --dir <dir> — Download a listing's photos (CLI only, not exposed over MCP; existing files are never overwritten). Over MCP, read pictures from show.
  • immovlan-pp-cli saved add|list|remove — Named searches; watch <name> re-runs one and reports new, price-changed and gone listings since the previous run.
  • immovlan-pp-cli drops — Price drops recorded across runs.
  • immovlan-pp-cli hide <ref> / shortlist <ref> — Local triage flags applied to every listing table.
  • immovlan-pp-cli dump --format csv|jsonl|geojson — Export the store; locations --query <commune> lists the postcodes behind a commune name.

Finding the right command

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

immovlan-pp-cli which "rented PEB F houses"

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. --json (and other machine formats) keep that exit-2 contract and write {"matches":[]} on stdout so agents can inspect the envelope without treating a miss as success.

Recipes

Bad-PEB houses for sale in two communes, newest first

immovlan-pp-cli find --type maison --deal sale --postcode 1030,1210 --epc F,G --pages 5 --agent --select id,url,price,surface_m2,price_per_m2,epc,locality

One line per listing with the fields the sourcing job needs; --select keeps the payload small.

Rented PEB traps after enrichment

immovlan-pp-cli enrich --missing epc,rented --top 200 --agent && immovlan-pp-cli peb-trap --postcode 1030 --agent

enrich reads the detail pages once; peb-trap then filters locally.

Immovlan exclusives

immovlan-pp-cli same-as --all --unmatched --postcode 1030 --agent

Joins with immoweb-pp-cli's store; unmatched rows are listings only Immovlan carries.

What changed since the last run of a saved search

immovlan-pp-cli saved add sch-fg --type maison,appartement --deal sale --postcode 1030 && immovlan-pp-cli watch sch-fg --agent

First run is a baseline; later runs report new, price-changed and gone listings since the previous run.

Notary sales on Immovlan

immovlan-pp-cli find --deal public-sale --postcode 1030,1080 --agent

Immovlan's own public-sale feed, next to Biddit.

Auth Setup

No authentication required.

Run immovlan-pp-cli doctor to verify setup.

Agent Mode

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

Global format flags share one contract on promoted, novel, and --deliver paths:

  • --json — one JSON document on stdout (progress notes go to stderr)

  • --compact — keep identity/status/timestamp fields; does not change the document vs stream shape

  • --csv / --plain — tabular rows (collection envelopes unwrap to the row array)

  • --quiet — one identity value per row, no envelope

  • 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:

    immovlan-pp-cli listings get vbe69761 --agent --select url,name,datePosted
    
  • Previewable — --dry-run shows the request without sending

  • One JSON shape — find, watch, drops, relisted, peb-trap, split-candidates, agencies and same-as return an object with results plus counters and an optional note (an empty store is a note, not an error); dump --agent returns the bare array. watch price changes carry old_price, new_price, change_pct.

  • Offline-friendly — find, watch and enrich store every page in SQLite; drops, peb-trap, split-candidates, relisted, agencies, same-as, dump and shortlist read it offline; show --data-source local prints the stored row

  • 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 set IMMOVLAN_HOME=<dir> to relocate all four path kinds under one root.

  • Use per-kind env vars only when a specific kind must diverge: IMMOVLAN_CONFIG_DIR, IMMOVLAN_DATA_DIR, IMMOVLAN_STATE_DIR, IMMOVLAN_CACHE_DIR.

  • Resolution order is per-kind env var, --home, IMMOVLAN_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 data.db (the listing store); this CLI has no credentials, cookies or auth files. state contains teach.log and the learn journal. cache contains regenerable HTTP/cache files.

  • Run immovlan-pp-cli doctor --fail-on warn to surface path 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:

    {
      "mcpServers": {
        "immovlan": {
          "command": "immovlan-pp-mcp",
          "env": {
            "IMMOVLAN_HOME": "/srv/immovlan"
          }
        }
      }
    }
    

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use IMMOVLAN_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 IMMOVLAN_HOME, or doctor will not find the store 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, pass the question as an argv or MCP tool argument to recall --agent. Do not interpolate user-controlled text into a shell command line.

Quoted recall "<question>" breaks on an apostrophe, which is ordinary English. A quoted heredoc breaks when a body line equals the delimiter, and that delimiter is published in these docs. Write the question with a non-shell file-writing tool, then read it back as data:

# Write the question verbatim with your file-writing tool (no shell involved).
# Command substitution on a file only ever yields data — the shell never
# parses the file's bytes as syntax.
QUERY=$(cat /path/to/question.txt)
immovlan-pp-cli recall "$QUERY" --agent

Prefer MCP: pass the question as the tool's query argument. "$QUERY" after a file read is argv-safe; putting the question itself in the command text is not.

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>", "immovlan-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 `immovlan-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; immovlan-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.
  • 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. Pass the query the same way as recall — argv/MCP, or file-then-$QUERY. Do not splice the question into the command text:

QUERY=$(cat /path/to/question.txt)
immovlan-pp-cli teach --query "$QUERY" --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.
QUERY=$(cat /path/to/question.txt)
immovlan-pp-cli teach \
  --query "$QUERY" \
  --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).
QUERY=$(cat /path/to/question.txt)
immovlan-pp-cli teach-playbook \
  --query "$QUERY" \
  --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. Pass the query and note as argv/MCP arguments, or write each with a non-shell file tool and read them back (QUERY=$(cat ...), NOTE=$(cat ...)). Do not interpolate either string into the command text:

QUERY=$(cat /path/to/question.txt)
NOTE=$(cat /path/to/note.txt)
immovlan-pp-cli playbook amend \
  --query "$QUERY" \
  --add-note "$NOTE"
# (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

immovlan-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.
  • IMMOVLAN_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:

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

Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless IMMOVLAN_FEEDBACK_ENDPOINT is set AND either --send is passed or IMMOVLAN_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). Binary-response commands write decoded payload bytes (not the base64 JSON envelope) and print a small JSON receipt on stdout; --json/--csv do not refuse when this sink is set.
webhook:<url> POST the output body to the URL (application/json)

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.

immovlan-pp-cli profile save briefing --json
immovlan-pp-cli --profile briefing listings get vbe69761
immovlan-pp-cli profile list --json
immovlan-pp-cli profile show briefing
immovlan-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
4 Blocked (HTTP 401/403 on the generic listings commands or doctor: bot wall, geography or rate block; no credentials exist)
5 API error (also a 403 or bot challenge met by find, show, watch, enrich)
7 Rate limited (wait and retry)
10 Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show immovlan-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:
    go install github.com/mvanhorn/printing-press-library/library/other/immovlan/cmd/immovlan-pp-mcp@latest
    
  2. Register with Claude Code:
    claude mcp add immovlan-pp-mcp -- immovlan-pp-mcp
    
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which immovlan-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:
    immovlan-pp-cli peb-trap --postcode 1030 --agent
    
  4. If ambiguous, drill into subcommand help: immovlan-pp-cli find --help.