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Agent skill

Pp Ollama Cloud

by mvanhorn in mvanhorn/printing-press-library

Routes every prompt to the right hosted Ollama model. An agent skill from mvanhorn/printing-press-library.

Apache-2.0Auto-check: notesAI & LLM Engineering

Install Pp Ollama Cloud

skills CLI
$ npx skills add mvanhorn/printing-press-library --skill pp-ollama-cloud -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-ollama-cloud --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/library/ai/ollama-cloud .claude/skills/pp-ollama-cloud && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pp-ollama-cloud
GitHub stars
2.1k
Token cost
~2.9k tokens
SKILL.md length
1,191 words
Files
118
Skills in repo
506
Repo updated
First seen
Licence
Apache-2.0

At a glance

Routes every prompt to the right hosted Ollama model. An agent skill from mvanhorn/printing-press-library.

  • Works in 3 steps: Install via the Printing Press… → Verify: ollama-cloud-pp-cli --version → Ensure the reported install directory is…
  • Phrases: pick an ollama model
  • SKILL.md covers Prerequisites: Install the CLI, When to Use This CLI, Unique Capabilities and Command Reference, plus 10 more sections
  • Calls claude, npx and go; needs OLLAMA_CLOUD_API_KEY

What it does

Pp Ollama Cloud is an agent skill from mvanhorn/printing-press-library. Routes every prompt to the right hosted Ollama model. Wraps chat, embeddings, catalog, and the OpenAI-compatible... Trigger phrases: pick an ollama model, advise on a model, which ollama cloud model should I use, route this prompt, use ollama cloud, run ollama cloud.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 122 other files (for example `.golangci.yml`, `.goreleaser.yaml` and `.manuscripts/20260524-003533/proofs/2026-05-24-003533-fix-ollama-cloud-pp-cli-shipcheck.md`).

It sits in AI & LLM Engineering, covering LLM inference and serving. It works with Ollama, OpenAI and Cloud Run. The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.

When your agent uses it

  • Phrases: pick an ollama model
  • Advise on a model
  • Which ollama cloud model should I use
  • Route this prompt

Example prompts

  • “Use the pp-ollama-cloud skill to route every prompt to the right hosted Ollama model. An agent skill from mvanhorn/printing-press-library”
  • “/pp-ollama-cloud”

Requirements

  • Node.js
  • A credential in OLLAMA_CLOUD_API_KEY
  • Pre-approved tools (allowed-tools): Read, Bash

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and…
  2. Verify: ollama-cloud-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

What it can do on your machine

Read from SKILL.md and the folder at commit 76de244. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude
    • npx
    • go

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OLLAMA_CLOUD_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pp Ollama Cloud loads about 2.9k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 1,191 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mvanhorn/printing-press-library at commit 76de244, republished under its Apache-2.0 licence (© mvanhorn). 1,191 words, ~2,918 tokens.

Download SKILL.mdSave it as .claude/skills/pp-ollama-cloud/SKILL.md (or your agent's skills folder). This skill also uses 117 other files; get the full folder from GitHub.
name
pp-ollama-cloud
description
Routes every prompt to the right hosted Ollama model. Wraps chat, embeddings, catalog, and the OpenAI-compatible... Trigger phrases: `pick an ollama model`, `advise on a model`, `which ollama cloud model should I use`, `route this prompt`, `use ollama cloud`, `run ollama cloud`.
allowed-tools
Read, Bash
author
user
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp

Ollama Cloud — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the ollama-cloud-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 ollama-cloud --cli-only
  2. Verify: ollama-cloud-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):

bash
go install github.com/mvanhorn/printing-press-library/library/ai/ollama-cloud/cmd/ollama-cloud-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

Pick this CLI when you need agent-driven access to Ollama's hosted catalog and want routing intelligence baked in. Especially useful when the alternative is hardcoding a model name and hoping it stays right. Pairs naturally with multi-backend setups where ollama-cloud is one of several providers.

Unique Capabilities

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

Routing intelligence

  • advise — Picks the right Ollama Cloud model for a prompt by combining live catalog, heuristic prompt-feature extraction, curated cost/latency metadata, and an optional cheap meta-LLM tiebreak.

    When an agent needs to pick a hosted Ollama model and the default routing is wrong, reach for advise instead of hardcoding the model name.

    bash
    ollama-cloud-pp-cli advise --prompt-file ./prompt.txt --task-hint coding --budget-remaining-usd 0.50 --json

  • compare — Runs the same prompt against N hosted models in parallel and emits side-by-side response, tokens, and latency.

    Use when calibrating advisor recommendations or picking between two close models.

    bash
    ollama-cloud-pp-cli compare --prompt-file ./p.txt --models qwen3-coder:480b,gpt-oss:120b,deepseek-v3.1:671b --json

  • advise — With --explain, advise emits the full scoring trace: feature extraction, per-model scores, filter passes, tiebreak rationale.

    Reach for this when an advise recommendation surprises you and you want to understand why.

    bash
    ollama-cloud-pp-cli advise --prompt-file ./p.txt --explain --format md
Engagement canary

  • advise-replay — Replays advisor recommendations and reports divergence between recommended models and actually-chosen models. Foundation for the divergence canary; the prompt corpus is not retained so judge-LLM scoring is not in scope until a corpus sidecar ships.

    Run weekly to detect advisor drift; surfaces divergence between recommended and actual-chosen models.

    bash
    ollama-cloud-pp-cli advise-replay --since 7d --diverge-only --json --select rows,divergence_count,divergence_pct
Operations

  • budget — Probes the free-tier weekly cap with a 1-token chat. Parses Ollama Cloud's 429 prose and emits a structured verdict (ok | exhausted | unknown) with the upgrade URL so agents can pre-flight quota before launching long sessions.

    Run before launching a long agent session to confirm quota is available.

    bash
    ollama-cloud-pp-cli budget --json

  • cost-trace — Aggregates advisor-log cost estimates over a time window; compares per-model and per-task-hint spend.

    Use to decide whether to upgrade to a paid Ollama Cloud tier.

    bash
    ollama-cloud-pp-cli cost-trace --since 7d --group-by task-hint --json

Command Reference

chat — Manage chat

  • ollama-cloud-pp-cli chat chat — Native Ollama chat endpoint. Supports streaming.
  • ollama-cloud-pp-cli chat completions — OpenAI-compatible chat completions endpoint.

embeddings — Manage embeddings

  • ollama-cloud-pp-cli embeddings embed — Native Ollama embeddings endpoint.
  • ollama-cloud-pp-cli embeddings openai-embed — Generate embeddings (OpenAI-compatible)

models — Manage models

  • ollama-cloud-pp-cli models — Catalog in OpenAI list-models format.

ps — Manage ps

  • ollama-cloud-pp-cli ps — Shows currently-loaded models. On Ollama Cloud this typically reflects models with active sessions.

show — Manage show

  • ollama-cloud-pp-cli show — Returns model metadata, template, modelfile, capabilities.

tags — Manage tags

  • ollama-cloud-pp-cli tags — Returns the live catalog of hosted Ollama Cloud models.
Finding the right command

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

bash
ollama-cloud-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

Advise with explain trace as markdown
bash
ollama-cloud-pp-cli advise --prompt-file ./prompt.txt --task-hint coding --explain --format md

--explain populates the feature trace and filtered-candidate audit; --format md renders for humans.

Detect catalog drift
bash
ollama-cloud-pp-cli advise --validate-catalog --json --select uncurated_live,curated_not_in_live

Diffs live /api/tags against curated models.json overlay; flags both uncurated live models and stale curated patterns.

Replay last week recommendations
bash
ollama-cloud-pp-cli advise-replay --since 7d --dry-run --json --select divergence_count,divergence_pct,emitted

Engagement canary; dotted-path select keeps response under context budget.

Side-by-side comparison
bash
ollama-cloud-pp-cli compare --prompt-file ./prompt.txt --models qwen3-coder:480b,gpt-oss:120b --json

Runs the prompt against both models in parallel and reports per-model latency, tokens, and rate-limit state.

Cost rollup by task hint
bash
ollama-cloud-pp-cli cost-trace --since 7d --group-by task-hint --json --select groups,row_count

Aggregates the advisor JSONL log by task-hint so you can decide whether to upgrade the Ollama Cloud tier.

Auth Setup

Bearer auth via OLLAMA_CLOUD_API_KEY (intentionally distinct from any local-Ollama env var). Free tier is rate-limited weekly; the budget command surfaces exhaustion before workflows fail.

Run ollama-cloud-pp-cli doctor to verify setup.

Show full SKILL.md (503 more words)Show less

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
    ollama-cloud-pp-cli chat chat --model example-value --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

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 — piped/agent consumers get pure JSON on stdout.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

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

Entries are stored locally at ~/.ollama-cloud-pp-cli/feedback.jsonl. They are never POSTed unless OLLAMA_CLOUD_FEEDBACK_ENDPOINT is set AND either --send is passed or OLLAMA_CLOUD_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:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

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 agent calls the same command every run with the same configuration - HeyGen's "Beacon" pattern.

ollama-cloud-pp-cli profile save briefing --json
ollama-cloud-pp-cli --profile briefing chat chat --model example-value
ollama-cloud-pp-cli profile list --json
ollama-cloud-pp-cli profile show briefing
ollama-cloud-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

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
4Authentication required
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show ollama-cloud-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

Install the MCP binary from this CLI's published public-library entry or pre-built release, then register it:

bash
claude mcp add ollama-cloud-pp-mcp -- ollama-cloud-pp-mcp

Verify: claude mcp list

Direct Use

  1. Check if installed: which ollama-cloud-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:
    bash
    ollama-cloud-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: ollama-cloud-pp-cli <command> --help.

© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 117 other files in library/ai/ollama-cloud of mvanhorn/printing-press-library.

  • SKILL.md
  • .golangci.yml
  • .goreleaser.yaml
  • .manuscripts/20260524-003533/proofs/2026-05-24-003533-fix-ollama-cloud-pp-cli-shipcheck.md
  • .manuscripts/20260524-003533/proofs/phase5-acceptance.json
  • .manuscripts/20260524-003533/proofs/shiptime-real-prompt-advise.json
  • .manuscripts/20260524-003533/research.json
  • .manuscripts/20260524-003533/research/2026-05-24-003533-feat-ollama-cloud-pp-cli-absorb-manifest.md
  • .manuscripts/20260524-003533/research/2026-05-24-003533-feat-ollama-cloud-pp-cli-brief.md
  • .manuscripts/20260524-003533/research/ollama-cloud.openapi.yaml
  • .printing-press-patches/.gitkeep
  • .printing-press-patches/advise-replay-divergence-denominator.json
  • .printing-press-patches/advisor-fallback-distinct-from-recommendation.json
  • .printing-press-patches/ambiguous-write-retries-disabled.json
  • .printing-press-patches/catalog-go-1264-vuln-floor.json
  • .printing-press-patches/catalog-go-1265-vuln-floor.json
  • … and 102 more

Open the folder on GitHubat commit 76de244

Compare with similar skills

Pp Ollama Cloud next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pp Ollama Cloud compared with similar skills
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Pp Ollama Cloud this skillmvanhorn/printing-press-library2.1k—~2.9kAutomated safety check: NotesApache-2.0
Aider DelegateamElnagdy/delegate-skills2.3k2 repos~3kAutomated safety check: PassMIT
Perfupraullenchai/Rapid-MLX3.9k—~1.6kAutomated safety check: NotesCustom licence
Ideer Daily Paper ChatbotAI45Lab/iDeer416—~3kAutomated safety check: NotesAGPL-3.0
Agent Frameworkjihadkhawaja/Egroo178—~1.9kAutomated safety check: PassApache-2.0
Configuring Visionoxbshw/watch-skill469—~509Automated safety check: NotesMIT

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Works with

Categories

Questions about Pp Ollama Cloud

What does Pp Ollama Cloud do?

Routes every prompt to the right hosted Ollama model. An agent skill from mvanhorn/printing-press-library. Pp Ollama Cloud is an agent skill from mvanhorn/printing-press-library. Routes every prompt to the right hosted Ollama model.

When should I use Pp Ollama Cloud?

Pp Ollama Cloud fits situations like: phrases: pick an ollama model; advise on a model; which ollama cloud model should I use; route this prompt.

How do I install Pp Ollama Cloud in Claude Code?

Run `npx skills add mvanhorn/printing-press-library --skill pp-ollama-cloud -a claude-code`. Or copy the skill folder (library/ai/ollama-cloud in mvanhorn/printing-press-library) into .claude/skills/pp-ollama-cloud in your project. Claude Code loads it when a task matches its description.

How do I install Pp Ollama Cloud in Codex?

Run `npx skills add mvanhorn/printing-press-library --skill pp-ollama-cloud -a codex`. Or copy the skill folder (library/ai/ollama-cloud in mvanhorn/printing-press-library) into .agents/skills/pp-ollama-cloud in your project. Codex loads it when a task matches its description.

Can I use Pp Ollama Cloud in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-ollama-cloud -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-ollama-cloud, .gemini/skills/pp-ollama-cloud, .github/skills/pp-ollama-cloud and .opencode/skills/pp-ollama-cloud in your project.

What does Pp Ollama Cloud need to run?

Going by SKILL.md and its folder, Pp Ollama Cloud needs the command-line tools its instructions call (claude, npx and go) and credentials named OLLAMA_CLOUD_API_KEY. Our summary lists: Node.js; A credential in OLLAMA_CLOUD_API_KEY. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Ollama Cloud access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pp Ollama Cloud safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pp Ollama Cloud use?

Pp Ollama Cloud is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pp Ollama Cloud use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pp Ollama Cloud?

Skills that share tags, products or a category with Pp Ollama Cloud: Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Perfup (raullenchai/Rapid-MLX, 3.9k stars), Ideer Daily Paper Chatbot (AI45Lab/iDeer, 416 stars) and Agent Framework (jihadkhawaja/Egroo, 178 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pp Ollama Cloud?

mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.

Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.