Pp Sea Airport Parking

<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/travel/sea-airport-parking/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/". -->

SEA Airport Parking — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the sea-airport-parking-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 sea-airport-parking --cli-only

2. Verify: sea-airport-parking-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/travel/sea-airport-parking/cmd/sea-airport-parking-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.

reservesea.portseattle.org is the only place to book SEA's Floor-4 Reserved garage, and it keeps no history and offers no alerts. This CLI quotes availability and price for any date range over plain HTTP (no login, no browser), persists every quote to a local SQLite store, and adds what the site can't: sweep flexible dates for the cheapest open stay, watch a sold-out range until it frees up, and see how a range's price has drifted over time.

When to Use This CLI

Use this CLI to quote, compare, track, or get alerted on official SEA on-airport Reserved garage parking. It is the right tool when you need availability and price for specific or flexible dates, want a price/availability history for a range, or need to be notified when a sold-out peak date opens up. It works entirely over plain HTTP with no login.

Anti-triggers

Do not use this CLI for:

• Do not use this CLI for off-airport SEA lots (MasterPark, WallyPark, Doug Fox) — it only covers the official on-airport Reserved garage; use SpotHero/ParkWhiz for those.
• Do not use this CLI to actually pay for or auto-submit a booking — 'book --quote' prepares a guest-checkout handoff and stops before payment.
• Do not use this CLI for General drive-up parking — that product is pay-at-exit and not reservable through reservesea.

Unique Capabilities

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

Ranging over dates

• sweep — Search a flexible date window for the cheapest or any-available Reserved stay.

  Reach for this when the trip dates are soft and the agent needs the single best-priced open option.

  sea-airport-parking-pp-cli sweep --from 2026-08-10 --to 2026-08-20 --nights 3 --agent

• watch — Poll a sold-out or target date range until Reserved opens up (or drops below a price), then notify.

  Reach for this when a peak-date range is sold out and the user must grab a space the instant it frees up.

  sea-airport-parking-pp-cli watch --entry 2026-11-25T11:00 --exit 2026-11-30T11:00 --max-polls 1 --agent

• calendar — Render price and open/sold-out across many entry days for a fixed-length stay.

  Reach for this to eyeball which entry days in a month are open and how price varies day to day.

  sea-airport-parking-pp-cli calendar --month 2026-11 --nights 3 --max-scan-days 6 --agent

Ranging over time

• history — List every recorded quote snapshot for a date range: price, availability, promo, captured time.

  Reach for this when the agent needs the raw recorded time series for a range before reasoning about it.

  sea-airport-parking-pp-cli history --entry 2026-08-15T11:00 --exit 2026-08-18T11:00 --agent

• drift — Summarize how a range's price and availability moved across stored snapshots: first vs latest, min/max, sold-out flips.

  Reach for this to tell whether today's price for a range is high or low relative to its own history.

  sea-airport-parking-pp-cli drift --entry 2026-08-15T11:00 --exit 2026-08-18T11:00 --agent

Command Reference

parking — SEA on-airport Reserved garage parking (reservesea.portseattle.org)

• sea-airport-parking-pp-cli parking — Fetch the live SEA parking booking page (product card + date-entry form)

Finding the right command

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

sea-airport-parking-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

Quote a specific trip

sea-airport-parking-pp-cli quote --entry 2026-08-15T11:00 --exit 2026-08-18T11:00

Returns total price, the nightly breakdown, and whether Reserved is available for the exact range.

Find the cheapest open stay (agent-narrowed)

sea-airport-parking-pp-cli sweep --from 2026-08-10 --to 2026-08-20 --nights 3 --agent --select entry,exit,total_price,available

Sweeps a flexible window and returns only the fields an agent needs from each candidate, avoiding the verbose per-date payload.

Watch a sold-out holiday range

sea-airport-parking-pp-cli watch --entry 2026-11-25T11:00 --exit 2026-11-30T11:00 --interval 30m --notify

Polls the sold-out Thanksgiving range every 30 minutes and notifies the moment Reserved becomes available.

Is today's price high or low for this range?

sea-airport-parking-pp-cli drift --entry 2026-08-15T11:00 --exit 2026-08-18T11:00

Summarizes first-vs-latest price and any sold-out flips from your stored snapshots for that range.

Prepare a booking handoff

sea-airport-parking-pp-cli book --quote --entry 2026-08-15T11:00 --exit 2026-08-18T11:00

Builds the prefilled guest-checkout link/params and stops before payment so you finish the card step yourself.

Auth Setup

No account or API key is required. Availability, pricing, and even booking use guest checkout, so every read command works anonymously. The CLI bootstraps a fresh session cookie automatically on each quote.

Run sea-airport-parking-pp-cli doctor to verify setup.

Agent Mode

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

• Pipeable — JSON on stdout, errors on stderr

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

  sea-airport-parking-pp-cli parking --agent --select id,name,status

• Previewable — --dry-run shows the request without sending

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

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

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

• Use per-kind env vars only when a specific kind must diverge: SEA_AIRPORT_PARKING_CONFIG_DIR, SEA_AIRPORT_PARKING_DATA_DIR, SEA_AIRPORT_PARKING_STATE_DIR, SEA_AIRPORT_PARKING_CACHE_DIR.

• Resolution order is per-kind env var, --home, SEA_AIRPORT_PARKING_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 sea-airport-parking-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:

  {
    "mcpServers": {
      "sea-airport-parking": {
        "command": "sea-airport-parking-pp-mcp",
        "env": {
          "SEA_AIRPORT_PARKING_HOME": "/srv/sea-airport-parking"
        }
      }
    }
  }

Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use SEA_AIRPORT_PARKING_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 SEA_AIRPORT_PARKING_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:

sea-airport-parking-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>", "sea-airport-parking-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 `sea-airport-parking-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; sea-airport-parking-pp-cli learnings candidates lists the full open set.

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

Step 3: always read warnings

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