---
name: pp-v0
description: "Generate and iterate on web apps with v0 from the terminal: create chats from prompts, stream agent output, sync history to a local SQLite mirror, and track credit spend across models. Trigger phrases: `create a v0 chat`, `generate a web app with v0`, `stream a v0 generation`, `v0 spend`, `v0 credits`, `v0 preview`, `fetch v0 chat files`, `send a message to a v0 chat`, `v0 mcp server`, `v0 webhook`, `deploy a v0 chat`."
author: "Som Samantray"
license: "Apache-2.0"
argument-hint: "<command> [args] | install cli|mcp"
allowed-tools: "Read Bash"
metadata:
  openclaw:
    requires:
      bins:
        - v0-pp-cli
    install:
      - kind: go
        bins: [v0-pp-cli]
        module: github.com/mvanhorn/printing-press-library/library/ai/v0/vzero/cmd/v0-pp-cli
---

# v0 — Printing Press CLI

## Prerequisites: Install the CLI

This skill drives the `v0-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 `$HOME/.local/bin` on macOS/Linux and `%LOCALAPPDATA%\Programs\PrintingPress\bin` on Windows:
   ```bash
   npx -y @mvanhorn/printing-press-library install v0 --cli-only
   ```
2. Verify: `v0-pp-cli --version`
3. Ensure the reported install directory is on `$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/ai/v0/vzero/cmd/v0-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.

The v0 API v2 CLI with offline search, streaming capture, and credit-spend analytics — no other tool tracks where your v0 credits go.

## When to Use This CLI

Use v0-pp-cli to generate and iterate on web apps via the v0 API: creating chats from prompts, sending follow-up messages, fetching generated files and previews, deploying to Vercel, managing MCP servers and webhooks, and tracking credit spend.

## Anti-triggers

Do not use this CLI for:
- Do not use this CLI for editing files inside a generated app's sandbox directly; fetch files and edit locally instead.
- Do not use this CLI to manage Vercel infrastructure outside v0 chats; that is Vercel's own API surface.
- Do not use this CLI as a general-purpose coding agent; it generates apps through v0, not in the current directory.

## Unique Capabilities

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

### Cost intelligence
- **`spend`** — Aggregate v0 credit cost and token usage from the synced message mirror, grouped by chat, day, or model.

  _Use this when an agent needs to know where v0 credits went, which chats are expensive, or a daily burn rate._

  ```bash
  v0-pp-cli spend --since 7d --by chat --json
  ```

### Streaming
- **`chats stream`** — Create a chat and stream the SSE response live, rendering each event and recording model attribution for spend analytics.

  _Use this when an agent needs to see generation progress live or capture the event stream for later analysis._

  ```bash
  v0-pp-cli chats stream "Create a kanban dashboard" --model v0-pro
  ```
- **`messages tail`** — Poll a chat until the newest assistant message finishes, with --follow for continuous watching.

  _Use this when an agent kicked off an async generation and needs to wait for it deterministically._

  ```bash
  v0-pp-cli messages tail ft7dqhYEX8n --interval 3s --timeout 10m
  ```

### Files
- **`chats files`** — Render a chat's generated source files as an indented directory tree.

  _Use this when an agent needs to understand a generated app's layout before editing._

  ```bash
  v0-pp-cli chats files ft7dqhYEX8n --tree
  ```
- **`chats preview`** — Print only the live preview URL for a chat, ready for embedding or scripting.

  _Use this when an agent needs the preview URL for CI, screenshots, or quick checks._

  ```bash
  v0-pp-cli chats preview ft7dqhYEX8n --url
  ```

### Offline
- **`search`** — Full-text search over synced chats and messages without hitting the API.

  _Use this when an agent needs to find a past chat or message without paging the API._

  ```bash
  v0-pp-cli search "kanban" --json
  ```
- **`sync`** — Cursor-paginated sync of chats and messages into a local SQLite mirror for offline search and spend analytics.

  _Run once before offline search or spend commands._

  ```bash
  v0-pp-cli sync --resources chats,messages
  ```

### Ops
- **`doctor`** — Validate V0_API_KEY and API reachability with a live check.

  _Use this when a script 401s and you need to know why._

  ```bash
  v0-pp-cli doctor
  ```

## Command Reference

**chats** — Generate and manage apps from prompts

- `v0-pp-cli chats connect-status` — Get the setup status of a Vercel Connect integration
- `v0-pp-cli chats create` — Create a chat from a prompt (blocks until the model response is complete)
- `v0-pp-cli chats create-async` — Create a chat asynchronously; poll the returned messageId for completion
- `v0-pp-cli chats create-from-files` — Create a chat from source files
- `v0-pp-cli chats create-from-repo` — Create a chat from a GitHub repository
- `v0-pp-cli chats create-from-zip` — Create a chat from a ZIP archive URL
- `v0-pp-cli chats create-stream` — Create a chat and stream the model response as Server-Sent Events
- `v0-pp-cli chats create-vercel-project` — Create a Vercel project for a chat
- `v0-pp-cli chats delete` — Delete a chat permanently
- `v0-pp-cli chats deploy` — Deploy a chat to Vercel
- `v0-pp-cli chats download-files` — Download all chat files as an archive
- `v0-pp-cli chats duplicate` — Duplicate a chat
- `v0-pp-cli chats files` — Get all source files in a chat
- `v0-pp-cli chats get` — Get a chat by ID
- `v0-pp-cli chats list` — List chats accessible to the authenticated user
- `v0-pp-cli chats preview` — Get the preview URL and short-lived access token for a chat
- `v0-pp-cli chats restore-message` — Restore files from a previous assistant message
- `v0-pp-cli chats resume-stream` — Reconnect to an active chat stream
- `v0-pp-cli chats update` — Update a chat title, privacy, or metadata
- `v0-pp-cli chats update-files` — Create, update, or delete files in a chat

**hooks** — Manage webhooks that listen for chat and message events

- `v0-pp-cli hooks create` — Create a webhook subscribed to chat and message events
- `v0-pp-cli hooks delete` — Delete a webhook
- `v0-pp-cli hooks get` — Get a webhook by ID
- `v0-pp-cli hooks list` — List all webhooks in the workspace
- `v0-pp-cli hooks update` — Update a webhook configuration

**mcp-servers** — Manage MCP server connections for chats (max 10 per user)

- `v0-pp-cli mcp-servers create` — Register a new MCP server
- `v0-pp-cli mcp-servers delete` — Delete an MCP server
- `v0-pp-cli mcp-servers get` — Get an MCP server by ID
- `v0-pp-cli mcp-servers list` — List MCP servers configured for the account
- `v0-pp-cli mcp-servers update` — Update an MCP server configuration

**messages** — Send, list, and manage chat messages

- `v0-pp-cli messages get` — Get a single message
- `v0-pp-cli messages list` — List messages in a chat, newest first
- `v0-pp-cli messages resolve-task` — Resolve a chat blocked waiting for user input
- `v0-pp-cli messages resolve-task-async` — Resolve a blocked chat asynchronously
- `v0-pp-cli messages resolve-task-stream` — Resolve a blocked chat and stream the response
- `v0-pp-cli messages send` — Send a message and wait for the model response
- `v0-pp-cli messages send-async` — Send a message asynchronously; poll the returned messageId for completion
- `v0-pp-cli messages send-stream` — Send a message and stream the response as Server-Sent Events
- `v0-pp-cli messages stop` — Stop an in-flight message generation

**settings** — Manage workspace settings

- `v0-pp-cli settings preview-hosts` — Get trusted hostname patterns allowed to embed previews
- `v0-pp-cli settings set-preview-hosts` — Set the complete list of trusted preview hosts


### Finding the right command

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

```bash
v0-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

### Create a chat and wait for it

```bash
v0-pp-cli chats create --message "A minimal landing page" --title Landing --privacy private --json
```

Blocking create returns the chat plus token/credit usage once the model finishes.

### Stream a generation and record the model

```bash
v0-pp-cli chats stream "A pricing page" --model v0-pro --privacy private
```

Streams SSE events live and records model attribution so spend --by model works.

### Send a follow-up asynchronously and tail it

```bash
v0-pp-cli messages send-async ft7dqhYEX8n --message "Add dark mode" --json
```

Async send returns a messageId; poll it with messages tail until finishReason is set.

### Inspect generated files as a tree

```bash
v0-pp-cli chats files ft7dqhYEX8n --tree
```

Renders the generated app's file layout without downloading the archive.

### Track weekly credit spend by chat

```bash
v0-pp-cli spend --since 7d --by chat --json
```

After sync, aggregates usage.creditsCost and tokens from the local mirror.

### Embed a live preview

```bash
v0-pp-cli chats preview ft7dqhYEX8n --url
```

Prints just the preview URL for embedding or scripting.

## Auth Setup

Requires a v0 API key (create one at https://v0.app/settings/keys). Set V0_API_KEY in your environment, or use auth set-token. The CLI sends Authorization: Bearer <key>.

Run `v0-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
  v0-pp-cli chats 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
- **Explicit retries** — use `--idempotent` only when an already-existing create should count as success, and use `--ignore-missing` only when a missing delete target 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 `V0_HOME=<dir>` to relocate all four path kinds under one root.
- Use per-kind env vars only when a specific kind must diverge: `V0_CONFIG_DIR`, `V0_DATA_DIR`, `V0_STATE_DIR`, `V0_CACHE_DIR`.
- Resolution order is per-kind env var, `--home`, `V0_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 `v0-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": {
      "v0": {
        "command": "v0-pp-mcp",
        "env": {
          "V0_HOME": "/srv/v0"
        }
      }
    }
  }
  ```

Fleet precedence: an inherited per-kind env var overrides an explicit `--home` for that kind. Use `V0_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 `V0_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:

```bash
v0-pp-cli recall "<user's question>" --agent
```

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>", "v0-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 `v0-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; `v0-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 `v0-pp-cli sync` to refresh entity lookups.
- Top-level `no_learnings_for_query_family`: the table had no rows abov