---
name: pp-seek
description: "Every SEEK search and job-detail feature, plus a local job history, salary distributions, and hiring trends no other SEEK tool has. Trigger phrases: `search seek for <role> jobs in <city>`, `what's the salary range for <role> on seek`, `any new jobs matching my saved searches`, `who is hiring <role> in <city>`, `seek hiring trends for <classification>`, `use seek`, `run seek`."
author: "Paul Siola"
license: "Apache-2.0"
argument-hint: "<command> [args] | install cli|mcp"
allowed-tools: "Read Bash"
metadata:
  openclaw:
    requires:
      bins:
        - seek-pp-cli
    install:
      - kind: go
        bins: [seek-pp-cli]
        module: github.com/mvanhorn/printing-press-library/library/productivity/seek/cmd/seek-pp-cli
---
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/productivity/seek/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/". -->

# SEEK — Printing Press CLI

## Prerequisites: Install the CLI

This skill drives the `seek-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 `$HOME/.local/bin` on macOS/Linux and `%LOCALAPPDATA%\Programs\PrintingPress\bin` on Windows:
   ```bash
   npx -y @mvanhorn/printing-press-library install seek --cli-only
   ```
2. Verify: `seek-pp-cli --version`
3. Ensure the reported install directory is on `$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/productivity/seek/cmd/seek-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.

seek-pp-cli searches Australian and New Zealand job listings, pulls full job details through SEEK's own JSON endpoints (never the bot-gated HTML), and keeps every job it has seen in a local SQLite store. On top of that it computes salary percentiles (salary), hiring-volume trends over time (trends), per-company hiring scans (company), and runs all your saved searches for new postings in one command (me new-jobs). No API key; no hosted scraper.

## When to Use This CLI

Use seek-pp-cli when an agent needs to search or monitor Australian/NZ job listings, pull structured job details, compute salary statistics, or track hiring volume over time. It caches every job it fetches to a local SQLite store, so salary and trends answer aggregate questions the SEEK site and every scraper cannot.

## Anti-triggers

Do not use this CLI for:
- Do not use this CLI to submit a job application or edit a SEEK profile/resume — it is read-only against your account.
- Do not use it for job boards other than SEEK (Indeed, LinkedIn, JobStreet non-AU/NZ) — it only speaks to au.seek.com.
- Do not use it for the SEEK partner/hirer Job Posting API (developer.seek.com) — that is a different, credentialed product.

## Unique Capabilities

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

### Local state that compounds
- **`salary`** — Get salary percentiles, a histogram, and the pay-disclosure rate for a role and location by sampling matching listings (which it also caches locally).

  _Reach for this instead of fetching hundreds of listings and computing pay statistics yourself._

  ```bash
  seek-pp-cli salary "registered nurse" --where "Melbourne VIC" --agent
  ```
- **`trends`** — See how job-listing volume for a classification, region, or work arrangement changes over time, bucketed from the listing dates of every job the CLI has cached, with period-over-period deltas.

  _Use this when the question is 'is hiring up or down', not 'what is open right now'._

  ```bash
  seek-pp-cli trends --by classification --since 90d --agent
  ```

### Cross-entity joins
- **`company`** — Profile one advertiser: their company details and review ratings plus every current opening and a local history of how many roles they've posted.

  _Reach for this for 'who is hiring for X' market scans and interview prep instead of scrolling a company's SEEK page._

  ```bash
  seek-pp-cli company "Atlassian" --active --agent
  ```
- **`me new-jobs`** — Run every one of your SEEK saved searches and return only the postings that aren't already in your local store, tagged by which search matched.

  _This is the daily-driver command for an active job hunt; use it instead of re-scrolling the SEEK site._

  ```bash
  seek-pp-cli me new-jobs --since 7d --agent
  ```

### Agent-native plumbing
- **`listings facets`** — Break a live query down by classification, work type, pay band, or region by tallying the sampled result pages — no local store needed.

  _Use this for a fast shape-of-the-market answer before committing to a full search or a sync._

  ```bash
  seek-pp-cli listings facets --keywords "data analyst" --where "Brisbane QLD" --group-by classification --agent
  ```
- **`classifications`** — Browse or resolve SEEK's numeric classification and subclassification IDs so filtered searches can target them precisely.

  _Call this first when you need a --classification value for listings search._

  ```bash
  seek-pp-cli classifications software
  ```

## Discovery Signals

This CLI was generated with browser-observed traffic context.
- Capture coverage: 12 API entries from 60 total network entries
- Protocols: rest_json (95% confidence), graphql (95% confidence), ssr_embedded_data (80% confidence)
- Auth signals: cookie — cookies: SEEK_SESSION; none
- Generation hints: primary transport: standard_http against https://au.seek.com, search surface is REST JSON at /api/jobsearch/v5/search; job-detail and account surfaces are GraphQL at POST /graphql, graphql endpoint rejects introspection and enforces a real schema; jobDetails(id: ID!) and jobSearchV7(params: JobSearchV7QueryInput!) verified working with hand-written queries, AU and NZ share the au.seek.com host; switch via siteKey=AU-Main|NZ-Main and locale=en-AU|en-NZ, authenticated surface uses same-origin session cookies on .seek.com (no Authorization header, no CSRF token on read queries); emit auth login --chrome / press-auth cookie companion, requires_browser_auth for the me/* commands only; all jobs/* commands are unauthenticated
- Candidate command ideas: search — GET /api/jobsearch/v5/search — keyword+location+filter job search, the primary workflow; get — POST /graphql jobDetails(id) — full job description, salary, apply link; count — POST /graphql jobSearchV7 JobCountV7 — result count for a filter combination without fetching rows; recommended — POST /graphql JobDetailsRecommendedJobs(jobDetailsId) — similar jobs; saved-searches — viewer -> ApacSavedSearch{id,name,query,createdDate,newToYouCountLabel,subscribeToNewJobs} (cookie auth); saved-jobs — viewer.savedJobs(first) (cookie auth); applied-jobs — viewer.searchAppliedJobs / applied job history (cookie auth)
- Caveats: hand_written_queries: GraphQL operation bodies were reconstructed by the agent and verified against the live endpoint (HTTP 200); they are leaner than the SPA's persisted queries. jobDetailsPersonalised/GetMatchedQualities field selections were observed but not fully transcribed.; cookie_replay_unverified: Cookie auth confirmed working in-browser (viewer queries returned data). Replay outside the browser was not validated this run because session cookie values were deliberately not extracted; Phase 5 live smoke or first auth login --chrome will confirm.

## Command Reference

**listings** — Search and inspect SEEK job listings

- `seek-pp-cli listings` — Search job listings by keyword, location, and filters

**me** — Your SEEK account: saved searches, saved jobs, applied jobs (needs `auth login --chrome`)

- `seek-pp-cli me job-status` — Check which of the given job IDs you've saved or already applied to
- `seek-pp-cli me saved-jobs` — List jobs you've saved on SEEK
- `seek-pp-cli me saved-searches` — List your saved searches / job alerts


### Finding the right command

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

```bash
seek-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. `--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

### Daily new-jobs digest

```bash
seek-pp-cli me new-jobs --since 24h --agent
```

Runs every saved search and returns only postings not already in the local store.

### Salary benchmark for a role

```bash
seek-pp-cli salary "data engineer" --where "All Australia" --agent
```

Percentiles and disclosure rate over the listings the command samples and caches for that role and location.

### Competitor hiring snapshot

```bash
seek-pp-cli company "Canva" --agent --select openings.title,openings.location,openings.listingDate
```

All current openings for one advertiser with just the fields an agent needs from a large nested response.

### Is ICT hiring cooling?

```bash
seek-pp-cli trends --by classification --since 180d --agent
```

Period-over-period listing counts bucketed from the listing dates of jobs cached locally.

### Shape of a market before a full search

```bash
seek-pp-cli listings facets --keywords "registered nurse" --where "Perth WA" --group-by salary --agent
```

Per-facet counts tallied from the sampled result pages, zero extra rows fetched.

## Auth Setup

Job search, job details, salary data, and company profiles need no authentication. The me commands (saved searches, saved jobs, applied status) read your SEEK session: run `seek-pp-cli auth login --chrome` once while logged in to au.seek.com in Chrome and the CLI imports the session cookie. Nothing is written to your SEEK account.

Run `seek-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, sync, and `--deliver` paths:

- `--json` — one JSON document on stdout (sync progress events 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:

  ```bash
  seek-pp-cli listings --agent --select id,title,teaser
  ```
- **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
- **Explicit confirmation** — `--agent` does not imply `--yes`; pass `--yes` separately only after the target, arguments, and side effects are clear
- **Explicit retries** — use `--idempotent` only when an already-existing create should count as success

### 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 `SEEK_HOME=<dir>` to relocate all four path kinds under one root.
- Use per-kind env vars only when a specific kind must diverge: `SEEK_CONFIG_DIR`, `SEEK_DATA_DIR`, `SEEK_STATE_DIR`, `SEEK_CACHE_DIR`.
- Resolution order is per-kind env var, `--home`, `SEEK_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 `seek-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": {
      "seek": {
        "command": "seek-pp-mcp",
        "env": {
          "SEEK_HOME": "/srv/seek"
        }
      }
    }
  }
  ```

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

```bash
# 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=$(cat /path/to/question.txt)
seek-pp-cli recall "$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:

```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>", "seek-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 `seek-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