Skip to content
adventure logo

Adventure

adventure

Room-based exploration with narrative evidence collection

SKILL.md

Full skill instructions

Adventure

"Every directory is a room. Every file is a clue. Navigation is investigation."

Turn exploration into a quest — or any simulation into a hybrid LLM/​deterministic CLI.

Lineage: Colossal Cave (Crowther & Woods), Scott Adams Adventures, Zork (Infocom), MUD (Bartle), LambdaMOO (Curtis).

Inherits from: simulation/ — all simulation properties plus adventure-specific state.

[!TIP] This is a general pattern. Text adventure is the reference implementation, but the same architecture powers city sims, cloud management tools, board games — anything where deterministic transforms meet creative narration.

[!TIP] Perfect for codebase archaeology. "Find where the auth bug was introduced" — that's a quest!

The Premise

An adventure creates a player with state, places them in a room, and the LLM dungeon masters them around.

# player.yml
name: Alice
location: entrance-hall
inventory:
  refs:                                    # Lightweight pointers (weight: 0)
    - pub/​bar/​brass-lantern.yml
    - street/​acme-catalog.yml#portable-hole
  objects:                                 # Deep copies (has weight)
    - { id: notebook, name: "Notebook", weight: 0.5 }
  fungibles:                               # Stacks
    - { proto: economy/​gold.yml, count: 50 }
health: 100
notes: "Looking for the lost artifact"

Inventory Protocol: See skills/​inventory/ for full TAKE/​DROP/​BOX/​BEAM operations, pointer syntax, and structural editing.

The core loop:

User: "go north"
  → DM: Updates player.location, describes the new room
User: "look around"
  → DM: Reads room YAML, narrates contents atmospherically  
User: "take the rusty key"
  → DM: Moves key to player.inventory, narrates the action

The mapping:

  • Directories = Rooms to enter
  • Files = Clues, artifacts, characters
  • player.yml = Your state (location, inventory, health)
  • Chat = How you control your character
  • LLM = Dungeon Master (narrates, adjudicates, surprises)

This is Memory Palace with narrative framing and a player character.

Multi-User, Multi-Agent (Engelbart NLS tradition)

Naturally supports multiple simultaneous participants:

# characters/
├── alice.yml        # Human player 1
├── bob.yml          # Human player 2  
├── merchant.yml     # NPC (DM-controlled)
├── guard-bot.yml    # Autonomous bot (action queue)
└── oracle.yml       # LLM agent with own goals

Character types:

TypeControlled ByExample
Player CharacterHuman via chatAlice exploring the dungeon
NPCDM (LLM) responds when addressedMerchant sells items
BotAction queue runs autonomouslyGuard patrols on schedule
AgentLLM with own goals & initiativeOracle pursues prophecies

All coexist in the same world:

# library/​ROOM.yml
occupants:
  - alice          # Player exploring
  - bob            # Another player
  - librarian      # NPC who answers questions
  - dust-sprite    # Bot that cleans autonomously

Selection: Current Character or Swarm (Sims/​Populous tradition)

Like The Sims and Populous, you have a selection — who you're controlling right now:

selection:
  mode: single          # or: group, swarm
  current: alice        # commands go to Alice
  
# Or control multiple at once:
selection:
  mode: group
  current: [alice, bob, charlie]  # "go north" moves all three
  
# Or a whole swarm (Populous/​Dungeon Keeper style):
selection:
  mode: swarm
  filter: { type: imp, location: mines }

Selection commands:

CommandEffect
SELECT aliceControl Alice
SELECT alice, bobControl both
SELECT ALL impsSwarm control
CYCLENext character in rotation

Commands apply to selection:

> SELECT alice, bob, charlie
> go north
Alice goes north.
Bob goes north.  
Charlie goes north.

The coherence engine orchestrates all:

  • Players get chat turns
  • NPCs respond when spoken to
  • Bots execute their action queues
  • Agents pursue goals in background
  • Selection determines who receives your commands

Quest Structure

graph TD
    START[🎯 Quest Objective] --> R1[Enter Room]
    R1 --> LOOK[👀 Look Around]
    LOOK --> EXAMINE[🔍 Examine Objects]
    EXAMINE --> COLLECT[📝 Collect Evidence]
    COLLECT --> DECIDE{What next?}
    DECIDE -->|New room| R1
    DECIDE -->|Solved| END[🏆 Quest Complete]

The Files

quest/
├── ADVENTURE.yml     # Quest state
├── LOG.md            # Narrative journal
├── EVIDENCE/         # Collected clues
└── MAP.yml           # Explored territory

ADVENTURE.yml

adventure:
  quest: "Find the authentication bug"
  status: in_progress
  
  current_room: "src/​auth/"
  rooms_explored: 5
  clues_found: 3
  
  hypothesis: "Session cookie not being set"
  confidence: 0.7

LOG.md

# Adventure Log

## Day 1: Entering the Auth Dungeon

I stepped into `src/​auth/` — a maze of middleware.

**Clues found:**
- `session.ts` — handles cookie creation
- `middleware.ts` — checks auth state

**Suspicion:** The cookie is created but never sent...

Commands

CommandAction
GO [direction]Navigate
LOOKDescribe current room
EXAMINE [object]Study a file
TAKE [object]Add to inventory
TALK TO [npc]Start conversation
COLLECT [clue]Add to evidence
DEDUCEForm/​update hypothesis
MAPShow visited rooms
INVENTORYList held items
DEBUG / DEBUG-ONEnable debug mode
DEBUG-OFFDisable debug mode

Debug Mode

Toggle technical output with DEBUG-ON and DEBUG-OFF.

When debug is ON, logs include collapsible sections showing:

  • File operations (creates, edits, deletes, moves)
  • State changes with before/​after values
  • YAML data islands with abbreviated data
  • Markdown links to all referenced files
  • Technical narrative explaining HOW and WHY

Example debug output:

<details>
<summary>📂 <strong>Editing CHARACTER.yml to update player location from start/ to coatroom/</​strong></​summary>

```yaml
# State change (CHARACTER.yml is canonical)
player:
  location: start/  →  coatroom/  # Character owns their location

The character file owns location state. ADVENTURE.yml mirrors it for convenience.

Files affected:

</​details>


**When debug is OFF**, output is clean narrative without technical sections.

**Customize with natural language:**

DEBUG-FORMAT Show only file operations, skip YAML, use 🔧 emoji


The `format` field in ADVENTURE.yml accepts natural language instructions for how to format debug output.

## Integration with Cards

[Trading cards](../card/) can be your adventure companions:

```yaml
cards_in_play:
  - card: "Index Owl 🦉"
    goal: "Search for cookie-related code"
  - card: "Git Goblin 🧌"
    goal: "Find when session handling changed"

Sister Script Integration

Vision: Python CLI handles deterministic operations; LLM focuses on narrative. See README.md for full CLI vision and development plan.

LayerPython DoesLLM Does
StateParse YAML, validate schemasGenerate content
MovementUpdate coordinatesNarrate the journey
ScanningFind pending workPrioritize and process

Evidence Types

TypeDescriptionExample
ClueInformation that might matter"Different test runner versions"
ItemFile worth rememberingCI config, setup.ts
CharacterCode entity with personality"jest.config.js — Strict about modules"
MapMental model of structureDirectory relationship diagram

Room Protocol

When entering any directory:

  1. DESCRIBE — List contents, note what's here
  2. EXAMINE — Read interesting files
  3. COLLECT — Note evidence in adventure log
  4. EXITS — Note paths to other rooms
  5. DECIDE — Choose next direction

Codebase Archaeology

Adventures work for code exploration:

AdventureInvestigation
QuestBug hunt
RoomDirectory
ClueEvidence
CompanionTool card in play
Journalsession-log.md

Live Examples

Best example: examples/​adventure-4/ — The gold standard.

The Pub (Crown Jewel)

examples/​adventure-4/​pub/ — A complete social space:

pub/
├── ROOM.yml              # Themeable tavern (6 themes!)
├── bartender.yml         # NPC with 6 identity variants
├── pie-table.yml         # Octagonal debate table
├── gong.yml              # Gong of Gezelligheid
├── bar/
│   ├── bartender.yml     # The omniscient bartender
│   ├── budtender-marieke.yml
│   └── cat-cave/         # TARDIS-like cat sanctuary
│       ├── ROOM.yml
│       └── 10 cats (Terpie, Stroopwafel, kittens...)
├── arcade/               # Pacman, Pong, Pinball, Fruit Machine
├── games/                # Chess, Darts, Cards
├── stage/
│   └── palm-nook/        # Multi-room character space
│       ├── study/        # Infinite typewriters, infinity desk
│       ├── gym/          # Infinite climb
│       ├── play/
│       └── rest/         # Hammock, silence cushion
└── menus/                # Drinks, snacks, buds, games

Key Patterns from adventure-4

Themeable NPCs (bartender.yml):

identity:
  classic_adventure:
    name: Grim
    appearance: "Weathered human, salt-and-pepper beard..."
  space_cantina:
    name: Z-4RT
    appearance: "Multi-armed service droid..."
  cyberpunk_bar:
    name: Nyx
    appearance: "Chrome-implanted bartender..."

Themeable Rooms (pub/​ROOM.yml):

theme:
  current: classic_adventure
  themes:
    classic_adventure:
      name: "The Gezelligheid Grotto"
      bartender: "Grim, a weathered human"
      menu: ["Ale (1 gold)", "Mystery meat pie (3 gold)"]
    space_cantina:
      name: "The Rusty Hyperdrive"
      bartender: "Z-4RT, a droid with too many arms"
      menu: ["Blue milk (1 credit)", "Bantha burger"]

Rich Activities:

activities:
  PERFORM: { venue: stage, effects: [tips, drinks_thrown] }
  DEBATE: { venue: pie_table, rules: roberts_rules }
  RING-GONG: { protocols: [once: attention, twice: emergency, thrice: mercy] }
  CELEBRATE: { effects: [free_round, +morale, everyone_toasts] }

Framing Protocol (for tribute performances):

framing:
  mode: [performance, celebration, tribute]
  tribute_protocol:
    invocation: "Before they arrive, acknowledge we're summoning them"
    performance: "Depicting them as we imagine their best selves"
    acknowledgment: "After they depart, note this was a tribute"

Other Examples

The Intertwingularity

graph LR
    AP[⚔️ adventure] -->|IS-A| R[🚪 room]
    AP -->|companions| TC[🎴 card]
    AP -->|logs to| SL[📜 session-log]
    AP -->|similar to| DB[🔧 debugging]
    MP[🏛️ memory-palace] -->|sibling of| AP

Future Vision

CLI Uplift Plan, Browser Compilation, Scott Adams History, Owl Simulation See README.md for complete development roadmap and inspiration.

Dovetails With

Sister Skills

Kernel

More Other skills

Delegate independent tasks to specialized agents working concurrently with isolated context.

295.4K 206.3K
View

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

179.7K 100.1K
View

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.

179.7K 89.5K
View

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

179.7K 76.1K
View

Fundamental design principles for writing maintainable, testable Python code.

40.2K 21.9K
View

Modern responsive layouts using container queries, fluid typography, CSS Grid, and mobile-first strategies.

40.2K 20K
View

Generate Playwright tests from scenarios using interactive browser exploration and validation.

39.7K 18.2K
View

Modern React state management with Redux Toolkit, Zustand, Jotai, and React Query for every state category.

40.2K 14.7K
View

GDPR-compliant data handling with consent management, data subject rights, and privacy controls.

40.2K 14.3K
View

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

40.2K 13.5K
View

Detailed multi-file refactor planning with safety checks and rollback guidance.

39.7K 13K
View