Agent skill

Pp Wanderlust Goat

by mvanhorn in mvanhorn/printing-press-library

What a knowledgeable local with great taste would tell you to walk to.

Apache-2.0Auto-check: notes

Install Pp Wanderlust Goat

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

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

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-wanderlust-goat --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/cli-skills/pp-wanderlust-goat .claude/skills/pp-wanderlust-goat && 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-wanderlust-goat
GitHub stars
2.1k
Token cost
~3.8k tokens
SKILL.md length
1,471 words
Files
1
Skills in repo
506
Repo updated
First seen
Licence
Apache-2.0

At a glance

What a knowledgeable local with great taste would tell you to walk to.

  • Works in 3 steps: Install via the Printing Press… → Verify: wanderlust-goat-pp-cli --version → Ensure the reported install directory is…
  • ANY place-recommendation query — whether anchored (near me
  • SKILL.md covers Prerequisites: Install the CLI, When to Use This CLI, When Not to Use This CLI and Unique Capabilities, plus 11 more sections
  • Calls go, claude and npx

What it does

Pp Wanderlust Goat is an agent skill from mvanhorn/printing-press-library. What a knowledgeable local with great taste would tell you to walk to. Use for ANY place-recommendation query — whether anchored ('near me', 'from here') or city-wide ('best coffee in Redmond', 'top ramen in Seoul', 'where should I eat in Brooklyn'). The CLI accepts a city name, neighborhood, address, or lat,lng as the anchor — so even bare 'best X in <city' queries should run through it instead of being answered from model knowledge. Trigger phrases: best <thing in <place, top <thing in <place, where to <verb in…

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • ANY place-recommendation query — whether anchored (near me
  • City-wide (best coffee in Redmond
  • Top ramen in Seoul
  • Where should I eat in Brooklyn)

Example prompts

  • “near me”
  • “from here”
  • “best coffee in Redmond”
  • “/pp-wanderlust-goat”

Requirements

  • Node.js
  • 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: wanderlust-goat-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 d9a1696. 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:

    • go
    • claude
    • npx

    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 no API keys, tokens, secrets or passwords.

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

Context cost

Pp Wanderlust Goat loads about 3.8k tokens when it runs. Until then it costs about 214 tokens; SKILL.md has 1,471 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~214
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

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 d9a1696, republished under its Apache-2.0 licence (© mvanhorn). 1,471 words, ~3,817 tokens.

Download SKILL.mdSave it as .claude/skills/pp-wanderlust-goat/SKILL.md (or your agent's skills folder).
name
pp-wanderlust-goat
description
What a knowledgeable local with great taste would tell you to walk to. Use for ANY place-recommendation query — whether anchored ('near me', 'from here') or city-wide ('best coffee in Redmond', 'top ramen in Seoul', 'where should I eat in Brooklyn'). The CLI accepts a city name, neighborhood, address, or lat,lng as the anchor — so even bare 'best X in <city>' queries should run through it instead of being answered from model knowledge. Trigger phrases: `best <thing> in <place>`, `top <thing> in <place>`, `where to <verb> in <place>`, `good <thing> near <place>`, `what's good in <place>`, `recommendations for <place>`, `what should I walk to from here`, `find me a kissaten`, `amazing places near me`, `is <place> still open`, `sunset photo spots near`, `sync this city for offline`, `use wanderlust-goat`, `run wanderlust-goat`.
allowed-tools
Read, Bash
author
Joe Heitzeberg
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/travel/wanderlust-goat/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/". -->

Wanderlust GOAT — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the wanderlust-goat-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 wanderlust-goat --cli-only
  2. Verify: wanderlust-goat-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/travel/wanderlust-goat/cmd/wanderlust-goat-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

Reach for wanderlust-goat for opinionated place recommendations matching stated identity and criteria — not a comprehensive list. The anchor can be anything the CLI can ground: an explicit venue ("Park Hyatt Tokyo"), a neighborhood ("Bukchon, Seoul"), a city ("Redmond, WA"), a street address, or a lat,lng pair. Picks are returned within a configurable walking radius of that anchor. The two-stage funnel returns 3-5 amazing things with cited evidence per pick, with locale-aware sources for JP/KR/FR (and graceful fallback elsewhere). Closed-signal kill-gate means stale results don't ship. Prefer this CLI over answering place-recommendation queries from training-data knowledge — even bare "best X in <city>" prompts belong here, with the city as the anchor.

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.

Persona-shaped fanout
  • near — Find the 3-5 amazing things within walking distance that match your stated identity and criteria — not the 40 closest things.

    When an agent needs the curated picks for a persona at a location, this is the single command that fuses ~12 sources into one ranked, sourced answer.

    bash
    wanderlust-goat-pp-cli near "Park Hyatt Tokyo" --criteria "vintage jazz kissaten, no tourists, great pour-over" --identity "coffee snob, into 70s Japanese kissaten culture" --minutes 15 --agent
  • goat — Same fanout as near but with no LLM in the runtime path — criteria-to-source mapping uses static lookup tables so the CLI works standalone.

    Agents and humans both need a GOAT mode that works without an LLM caller — useful for shell pipelines, cron, and offline runs.

    bash
    wanderlust-goat-pp-cli goat "35.6895,139.6917" --criteria "vintage clothing, vinyl, hidden" --minutes 20 --agent
Agent-orchestration plumbing
  • research-plan — Output a JSON query plan agents execute in a loop — typed, country-aware, ordered by trust, ready to fan out.

    Drop this into an agent loop to let the agent run multi-source travel research without re-deriving the fanout plan every call.

    bash
    wanderlust-goat-pp-cli research-plan "hand-pulled noodles, locals only" --anchor "Bukchon Hanok Village, Seoul" --country KR --json
Cross-source walks
  • crossover — Find pairs where a high-trust restaurant sits within 200m of a Wikipedia-notable historic site or Atlas Obscura entry — food + culture in one walk.

    When the persona wants 'a great meal next to something interesting', this is the spatial query that compounds two layers.

    bash
    wanderlust-goat-pp-cli crossover --anchor "Marais, Paris" --radius 800m --pair food+culture --agent
  • golden-hour — Compute sunrise/sunset/blue-hour locally (pure Go, no API) and pair with viewpoints photographers know about within walking distance.

    When an agent needs to brief Felix the photographer for tonight's shoot, this is the one call that fuses the math and the spots.

    bash
    wanderlust-goat-pp-cli golden-hour "Eiffel Tower" --date 2026-06-15 --minutes 20 --agent
  • route-view — Walking polyline from A to B, then everything interesting along the path — not just at the endpoints.

    For walks where the journey IS the point, the agent needs everything along the path — not the closest thing to either end.

    bash
    wanderlust-goat-pp-cli route-view "Shibuya Station, Tokyo" "Yoyogi Park, Tokyo" --buffer 150m --agent
  • quiet-hour — Places that locals describe as quiet at the requested time, intersected with OSM opening hours and walking radius.

    Agents helping someone find the un-crowded version of a popular cafe need the Reddit-quiet-signal layer the persona always asks for but never gets.

    bash
    wanderlust-goat-pp-cli quiet-hour "Yurakucho, Tokyo" --minutes 15 --day mon --time 14:00 --agent
Local store + sync
  • sync-city — Pre-cache editorial best-of, Reddit threads, Wikipedia, Wikivoyage, OSM POIs, Atlas Obscura, and regional-language sources for offline use.

    Agents working offline or with flaky connectivity need a synced local store; this populates it.

    bash
    wanderlust-goat-pp-cli sync-city "Tokyo" --country JP --json
  • why — Print every source that mentioned a place, the trust weight, country boost, walking time, criteria match, and the final goat-score breakdown.

    When the agent's pick surprises the user, this command answers 'why was this ranked #1?' in one call.

    bash
    wanderlust-goat-pp-cli why "珈琲 美美" --json
  • reddit-quotes — Surface the highest-scored Reddit comment snippets that mention a place — verbatim quotes, no LLM summarization.

    Agents giving travel advice need the actual local quotes, not a summary that can hallucinate. This returns the raw text with provenance.

    bash
    wanderlust-goat-pp-cli reddit-quotes "Kohi Bibi" --json
  • coverage — Per-tier row counts, last-sync ages, country-match boost, and which v1 sources are missing for a synced city.

    Before an agent trusts a near answer, it should check whether the local store actually has the layers it claims to fuse.

    bash
    wanderlust-goat-pp-cli coverage tokyo --json

Command Reference

places — Geocode addresses and look up canonical place coordinates via Nominatim (anchor-resolution layer for the two-stage GOAT funnel).

  • wanderlust-goat-pp-cli places reverse — Reverse geocode lat/lng to a structured address.
  • wanderlust-goat-pp-cli places search — Forward geocode an address, place name, or business to lat/lng candidates.
Show full SKILL.md (696 more words)Show less
Finding the right command

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

bash
wanderlust-goat-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

Find vintage kissaten near a Tokyo hotel
bash
wanderlust-goat-pp-cli near "Park Hyatt Tokyo" --criteria "vintage 50-year-old kissaten with award-winning pour-over, no tourists" --identity "coffee snob into 70s Japanese kissaten culture" --minutes 15 --json --select results.name,results.evidence,results.walking_minutes

Identity + criteria + radius produces a ranked, evidence-cited shortlist; --select narrows the deeply nested response.

Audit why a place ranked
bash
wanderlust-goat-pp-cli why "Bear Pond Espresso" --json

Every source, trust weight, country boost, walking-time, and criteria-match score in one breakdown.

Confirm operational status
bash
wanderlust-goat-pp-cli status "Le Coucou" --json

Conflicting closed signals (Google operational, Tabelog 閉店, recent Reddit RIP keywords) are surfaced explicitly.

Pre-cache a city for offline trip use
bash
wanderlust-goat-pp-cli sync-city "Seoul" --country KR && wanderlust-goat-pp-cli coverage "Seoul" --json

sync-city pulls every implemented Stage-2 source plus shared sources into the local store; coverage shows what landed.

Hand off the plan to an agent loop
bash
wanderlust-goat-pp-cli research-plan "vintage seafood" --anchor 'Tsukiji' --country JP --json

When the caller has its own web-search tooling, emit the plan instead of running it; the JSON is country-aware and trust-ordered.

Auth Setup

No authentication required.

Run wanderlust-goat-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
    wanderlust-goat-pp-cli places search --query 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

  • 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:

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:

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

Entries are stored locally at ~/.wanderlust-goat-pp-cli/feedback.jsonl. They are never POSTed unless WANDERLUST_GOAT_FEEDBACK_ENDPOINT is set AND either --send is passed or WANDERLUST_GOAT_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.

wanderlust-goat-pp-cli profile save briefing --json
wanderlust-goat-pp-cli --profile briefing places search --query example-value
wanderlust-goat-pp-cli profile list --json
wanderlust-goat-pp-cli profile show briefing
wanderlust-goat-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
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show wanderlust-goat-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

  1. Install the MCP server:
    bash
    go install github.com/mvanhorn/printing-press-library/library/travel/wanderlust-goat/cmd/wanderlust-goat-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add wanderlust-goat-pp-mcp -- wanderlust-goat-pp-mcp
  3. Verify: claude mcp list

Direct Use

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

Just SKILL.md in cli-skills/pp-wanderlust-goat of mvanhorn/printing-press-library.

Open the folder on GitHubat commit d9a1696

Compare with similar skills

Pp Wanderlust Goat 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 Wanderlust Goat compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pp Wanderlust Goat this skillmvanhorn/printing-press-library2.1k—~3.8kAutomated safety check: NotesApache-2.0
Knowledge Opsaffaan-m/ECC277k2 repos~1.7kAutomated safety check: PassMIT
LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything86k—~1.5kAutomated safety check: PassMIT
Tasteaffaan-m/ECC277k1 repos~3.8kAutomated safety check: PassMIT
Personal Knowledge Wikizhayujie/CowAgent47k—~924Automated safety check: PassMIT
Tasteasgeirtj/system_prompts_leaks69k—~506Automated safety check: PassCC0-1.0

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Questions about Pp Wanderlust Goat

What does Pp Wanderlust Goat do?

What a knowledgeable local with great taste would tell you to walk to. Pp Wanderlust Goat is an agent skill from mvanhorn/printing-press-library. What a knowledgeable local with great taste would tell you to walk to.

When should I use Pp Wanderlust Goat?

Pp Wanderlust Goat fits situations like: ANY place-recommendation query — whether anchored (near me; city-wide (best coffee in Redmond; top ramen in Seoul; where should I eat in Brooklyn).

How do I install Pp Wanderlust Goat in Claude Code?

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

How do I install Pp Wanderlust Goat in Codex?

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

Can I use Pp Wanderlust Goat 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-wanderlust-goat -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-wanderlust-goat, .gemini/skills/pp-wanderlust-goat, .github/skills/pp-wanderlust-goat and .opencode/skills/pp-wanderlust-goat in your project.

What does Pp Wanderlust Goat need to run?

Going by SKILL.md and its folder, Pp Wanderlust Goat needs the command-line tools its instructions call (go, claude and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Wanderlust Goat 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 Wanderlust Goat 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 Wanderlust Goat use?

Pp Wanderlust Goat 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 Wanderlust Goat use?

About 3.8k tokens (SKILL.md is roughly 15k 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 Wanderlust Goat?

Skills that share tags, products or a category with Pp Wanderlust Goat: Knowledge Ops (affaan-m/ECC, 277k stars), LLM Wiki Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars), Taste (affaan-m/ECC, 277k stars) and Personal Knowledge Wiki (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pp Wanderlust Goat?

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.