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Pp Atlas Obscura

CommunityPopular
mvanhorn
pp-atlas-obscura

Every Atlas Obscura search, plus a local database, road-trip corridor routing Trigger phrases: `weird places near me`, `atlas obscura`, `hidden gems along my route`, `offbeat things to do in`, `unusual places to visit`, `use atlas-obscura`, `run atlas-obscura`.

Overview

Publishermvanhorn
Repositoryprinting-press-library
Skill namepp-atlas-obscura
Stars
2K
Forks
614
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mvanhorn on GitHub. Read the source before you install it.

Installation

Install the Pp Atlas Obscura AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git /tmp/printing-press-library
mkdir -p .claude/skills
cp -r /tmp/printing-press-library/cli-skills/pp-atlas-obscura .claude/skills/pp-atlas-obscura
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pp Atlas Obscura in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pp Atlas Obscura on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pp Atlas Obscura is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Atlas Obscura — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the atlas-obscura-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 atlas-obscura --cli-only
  2. Verify: atlas-obscura-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/travel/atlas-obscura/cmd/atlas-obscura-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.

Search the world's hidden wonders by keyword or coordinates, pull full place detail with Know-Before-You-Go notes, and mirror it all into a local SQLite store for offline, agent-native use. Then go further than any scraper: find wonders along a driving route, save and export trips, and track what you've visited. Community-sourced from atlasobscura.com — not an official API.

When to Use This CLI

Use Atlas Obscura when a user wants offbeat, unusual, or hidden points of interest — for trip planning, road trips, or adding curiosity stops to an itinerary. It excels at corridor routing between two cities, accumulating saved trips, and offline re-querying of a local mirror. Reach for it when the task is discovery of weird/wonderful places rather than mainstream travel booking.

Anti-triggers

Do not use this CLI for:

  • Do not use for booking hotels, flights, or restaurants — it only surfaces places.
  • Do not use for mainstream tourist attractions or reviews; it is curated oddities, not a general POI directory.
  • Do not use for real-time opening hours or ticketing — Atlas Obscura has no structured hours; check the place's own site.

Unique Capabilities

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

Trip planning

  • route — Find Atlas Obscura wonders along the driving corridor between two cities, not just in one place.

    Reach for this when a user is driving between two places and wants worthwhile stops along the way.

    bash
    atlas-obscura-pp-cli route "San Francisco" "Los Angeles" --min-score 6 --limit 15 --json
  • cluster — Group nearby wonders into spatially tight clusters that make a walkable half-day.

    Use to turn a pile of nearby wonders into an efficient day on foot.

    bash
    atlas-obscura-pp-cli cluster "Edinburgh" --radius 3 --min 3 --json
  • export — Serialize a saved trip to GPX, GeoJSON, or a markdown itinerary, fully offline.

    Use to hand a road trip to a GPS, a map tool, or a human-readable log.

    bash
    atlas-obscura-pp-cli export california-oddities --format md

Local state that compounds

  • trip — Accumulate places into named itineraries that persist across sessions.

    Use to build up a trip over multiple sessions instead of re-searching each time.

    bash
    atlas-obscura-pp-cli trip add winchester-mystery-house --trip california-oddities
  • visited — Record which wonders you've seen, with optional date and note.

    Use to remember what you've already seen so gaps and surprise can skip them.

    bash
    atlas-obscura-pp-cli visited mark salvation-mountain --note "worth the desert drive"
  • gaps — Show good wonders near a point that you haven't visited yet, ranked by interestingness.

    Use to plan what's left to see near a place you're revisiting.

    bash
    atlas-obscura-pp-cli gaps "Portland, Oregon" --radius 40 --min-score 6 --json
  • surprise — Pick one high-interest wonder you haven't visited, seeded by date so it's stable per day.

    Use in a daily agent heartbeat to surface a fresh wonder without repeats.

    bash
    atlas-obscura-pp-cli surprise --near "Tokyo" --exclude-visited --json

Command Reference

categories — Browse places by Atlas Obscura category

  • atlas-obscura-pp-cli categories <slug> — List place links in a category (e.g. cemeteries, caves, ruins)

destinations — Browse places by destination (city/region)

  • atlas-obscura-pp-cli destinations <slug> — List place links for a destination (e.g. paris-france, new-york)

places — Atlas Obscura places (wonders)

  • atlas-obscura-pp-cli places <slug> — Fetch a place detail page by slug or numeric id

Finding the right command

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

bash
atlas-obscura-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

Plan stops along a road trip

bash
atlas-obscura-pp-cli route "Denver" "Moab" --min-score 6 --limit 12 --json

Surfaces the best-scoring wonders within the driving corridor between two cities.

Lean nearby scan for an agent

bash
atlas-obscura-pp-cli near "35.0116,135.7681" --radius 3 --json --select results.title,results.distance_from_query,results.url

Deeply nested response narrowed to just title, distance, and URL so an agent doesn't parse image and coordinate noise.

Build and export a trip

bash
atlas-obscura-pp-cli trip add winchester-mystery-house --trip ca && atlas-obscura-pp-cli export ca --format md

Accumulate places into a named trip, then render a markdown itinerary with descriptions and Know Before You Go.

What haven't I seen near home

bash
atlas-obscura-pp-cli gaps "Austin, Texas" --radius 30 --min-score 6 --json

Cross-references cached wonders against your visited log and returns only the worthwhile unseen ones.

Auth Setup

No authentication required.

Run atlas-obscura-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
    atlas-obscura-pp-cli places mock-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 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.

Agent Feedback

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

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

Entries are stored locally at ~/.local/share/atlas-obscura-pp-cli/feedback.jsonl. They are never POSTed unless ATLAS_OBSCURA_FEEDBACK_ENDPOINT is set AND either --send is passed or ATLAS_OBSCURA_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.

atlas-obscura-pp-cli profile save briefing --json
atlas-obscura-pp-cli --profile briefing places mock-value
atlas-obscura-pp-cli profile list --json
atlas-obscura-pp-cli profile show briefing
atlas-obscura-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 atlas-obscura-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/atlas-obscura/cmd/atlas-obscura-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add atlas-obscura-pp-mcp -- atlas-obscura-pp-mcp
  3. Verify: claude mcp list

Direct Use

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

Frequently asked questions

What does the Pp Atlas Obscura AI skill do?

Every Atlas Obscura search, plus a local database, road-trip corridor routing Trigger phrases: `weird places near me`, `atlas obscura`, `hidden gems along my route`, `offbeat things to do in`, `unusual places to visit`, `use atlas-obscura`, `run atlas-obscura`.

Why use Pp Atlas Obscura on TypingMind?

Because you install it once and use it with any model. Pp Atlas Obscura is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pp Atlas Obscura in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-atlas-obscura. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pp Atlas Obscura?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pp Atlas Obscura?

As many as you like. As long as a model supports skills, you can use Pp Atlas Obscura with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pp Atlas Obscura AI skill free?

Yes. It is published on GitHub by mvanhorn under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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