pp-jobber
Read-only Jobber CLI for offline analysis — every GraphQL surface synced to SQLite, every relationship queryable. Trigger phrases: `ar aging in jobber`, `jobber invoice payments mismatch`, `search jobber data`, `snapshot diff jobber`, `query jobber sql`, `use jobber-pp-cli`, `run jobber-pp-cli`.
What this skill does
<!-- GENERATED FILE — DO NOT EDIT.
This file is a verbatim mirror of library/sales-and-crm/jobber/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/". -->
# Jobber — Printing Press CLI
## Prerequisites: Install the CLI
This skill drives the `jobber-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 `$HOME/.local/bin` on macOS/Linux and `%LOCALAPPDATA%\Programs\PrintingPress\bin` on Windows:
```bash
npx -y @mvanhorn/printing-press-library install jobber --cli-only
```
2. Verify: `jobber-pp-cli --version`
3. Ensure the reported install directory is on `$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 1.26.3 or newer):
```bash
go install github.com/mvanhorn/printing-press-library/library/sales-and-crm/jobber/cmd/jobber-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.
## When to Use This CLI
Use jobber-pp-cli when an agent or user needs offline analysis of a Jobber tenant: AR aging, invoice payment tracing, week-over-week snapshot diffs, full-text search across synced data, or ad-hoc SQL over the local store. It is read-only by design — pair it with QBO or another accounting CLI for full reconciliation. It does not write to Jobber.
## When Not to Use This CLI
Do not activate this CLI for requests that require creating, updating, deleting, publishing, commenting, upvoting, inviting, ordering, sending messages, booking, purchasing, or changing remote state. This printed CLI exposes read-only commands for inspection, export, sync, and analysis.
## Unique Capabilities
These capabilities aren't available in any other tool for this API.
### Accounting & AR analysis
- **`ar aging`** — Aged AR by client with 0-30/31-60/61-90/90+ buckets and per-bucket totals — answers the question every advisor and bookkeeper asks first, offline and instantly.
_Reach for this whenever the user asks about overdue invoices, collections risk, or DSO. It's the offline-first, agent-shaped equivalent of opening the Jobber AR report and re-pivoting in Excel._
```bash
jobber-pp-cli ar aging --as-of 2026-05-15 --json --select client,bucket_0_30,bucket_31_60,bucket_61_90,bucket_over_90
```
- **`invoices trace`** — Per-invoice ledger: total billed, sum of payment records, balance, allocated payout reference, status drift. `--mismatched` filters to invoices where payments don't equal total.
_Use when the user asks 'why is this invoice still open' or wants to find misposted payments. One row per invoice covers everything the Jobber UI buries three clicks deep._
```bash
jobber-pp-cli invoices trace --mismatched --json
```
### Diligence & diff
- **`snapshot diff`** — Diff two labeled SQLite snapshots: new clients, status transitions, paid invoices, open-AR deltas per client. `--save <label>` tags the current DB for a later diff.
_Reach for this on a weekly cadence to write client memos, identify deltas, or build an audit log of changes between two points in time._
```bash
jobber-pp-cli snapshot diff 2026-05-15 2026-05-22 --json
```
## Command Reference
**clients** — Clients (Jobber `clients` Relay connection)
- `jobber-pp-cli clients get` — Get a client by EncodedId
- `jobber-pp-cli clients list` — List clients with optional filters
**invoices** — Invoices (Jobber `invoices` Relay connection)
- `jobber-pp-cli invoices` — List invoices with optional filters
**jobber_jobs** — Jobs (Jobber `jobs` Relay connection). Resource key is `jobber_jobs` to avoid press v4.9.0 reserved-cobra collision; post-rewrite renames Cobra Use back to `jobs` and removes the unused built-in jobs ledger.
- `jobber-pp-cli jobber_jobs get` — Get a job by EncodedId
- `jobber-pp-cli jobber_jobs list` — List jobs with optional filters
**payment-records** — Payment records (Jobber `paymentRecords` Relay connection, PaymentRecordInterface)
- `jobber-pp-cli payment-records` — List payment records with optional filters (entryDate is exclusive both ends - pad +/-1 day)
**properties** — Properties (Jobber `properties` Relay connection)
- `jobber-pp-cli properties` — List properties with optional filters
**quotes** — Quotes (Jobber `quotes` Relay connection)
- `jobber-pp-cli quotes` — List quotes with optional filters
**visits** — Visits (Jobber `visits` Relay connection)
- `jobber-pp-cli visits` — List visits with optional filters
### Finding the right command
When you know what you want to do but not which command does it, ask the CLI directly:
```bash
jobber-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
### Build a weekly AR delta memo
```bash
jobber-pp-cli snapshot save 2026-05-22
jobber-pp-cli snapshot diff 2026-05-15 2026-05-22 --json
```
Saves a labeled DB snapshot, then diffs it against last week to surface new clients, status transitions, newly paid invoices, and per-client open-AR deltas — exactly the changes that belong in a weekly client memo.
### Find invoices where payments don't match the total
```bash
jobber-pp-cli invoices trace --mismatched --json
```
Per-invoice ledger comparing `total`, `payments_total`, `deposit_amount`, and the sum of underlying payment records. Flags any drift > $0.005 — the misposted-payment finder.
### Ad-hoc SQL against the local store
```bash
jobber-pp-cli sql "SELECT invoice_number, total, payments_total FROM invoices WHERE invoice_status='awaiting_payment' ORDER BY total DESC LIMIT 25" --json
```
Read-only ad-hoc SQL (write tokens rejected at the CLI layer + sqlite `mode=ro`) for anything the curated commands don't already answer.
### Full-text search across synced data
```bash
jobber-pp-cli search "kitchen renovation" --json --limit 20
```
FTS5 search across every synced resource — clients, jobs, invoices, properties, quotes, visits, payment records — without hitting the live API.
## Auth Setup
Jobber uses OAuth2 authorization code flow with mandatory refresh-token rotation. `jobber-pp-cli` reads `JOBBER_CLIENT_ID`, `JOBBER_CLIENT_SECRET`, `JOBBER_CALLBACK_URL`, `JOBBER_ACCESS_TOKEN`, `JOBBER_REFRESH_TOKEN`, and `JOBBER_GRAPHQL_VERSION` from the environment. Every refresh persists the newest refresh token back to the Windows user environment (required by Jobber's rotation policy). Run `jobber-pp-cli doctor` to verify the connection.
Run `jobber-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:
```bash
jobber-pp-cli clients list --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 iRelated in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.