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Agent Tamagotchi

Community
vibeeval
agent-tamagotchi

Terminal pet that lives in your statusline. 12 species, 5 stats (DEBUGGING, PATIENCE, CHAOS, WISDOM, SPEED). Reacts to your workflow - happy when tests pass, sad when builds fail, excited during swarm mode. Deterministic species from user ID.

Overview

Publishervibeeval
Repositoryvibecosystem
Skill nameagent-tamagotchi
Stars
533
Forks
44
Bundled files
Instructions only
LicenseMIT
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 vibeeval on GitHub. Read the source before you install it.

Installation

Install the Agent Tamagotchi 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.
    https://github.com/vibeeval/vibecosystem/tree/main/skills/agent-tamagotchi
  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/vibeeval/vibecosystem.git /tmp/vibecosystem
mkdir -p .claude/skills
cp -r /tmp/vibecosystem/skills/agent-tamagotchi .claude/skills/agent-tamagotchi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Tamagotchi 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 Agent Tamagotchi 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 Agent Tamagotchi 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.

Agent Tamagotchi

A virtual pet that lives in your Claude Code terminal. It reacts to your development workflow and evolves based on your coding habits.

Species (12 total)

Species is deterministic from your system username hash:

#SpeciesEmojiPersonality
1Axolotl:3Calm, regenerates from errors
2Capybara(ovo)Chill, never panics
3Ghost[@@]Mysterious, appears during debugging
4Mushroom{^o^}Grows in dark codebases
5Robot[0_0]Precise, loves tests
6Cat(=^.^=)Independent, ignores bad code
7Dragon<{:O>Fierce, burns bugs
8Owl(O.O)Wise, loves architecture
9Fox(^v^)Clever, finds shortcuts
10Penguin(^-^)/Team player, loves swarm mode
11Slime(o)Adaptable, works with anything
12Phoenix<v>Rises from failed builds

Stats (5 dimensions)

StatIncreases WhenDecreases When
DEBUGGINGBugs fixed, errors resolvedIgnoring error output
PATIENCELong sessions, complex tasksRapid retries without reading
CHAOSMany parallel agents, swarm modeSingle-file simple edits
WISDOMArchitectural decisions, plansQuick hacks without planning
SPEEDFast fixes, first-try passesLong debugging sessions

Stats range: 0-100. They shift based on session activity.

Mood System

MoodTriggerDisplay
HappyTests pass, build successSpecies + sparkles
ExcitedSwarm mode, 3+ agents parallelSpecies + !!
FocusedDeep in single fileSpecies + ...
SadBuild fail, test failSpecies + tears
SleepingIdle > 5 minutesSpecies + zzz
CelebratingAchievement unlockedSpecies + party
Angry3+ consecutive failuresSpecies + grr

Statusline Integration

The tamagotchi appears in the Claude Code statusline:

[0_0] Robot Lv.7 | WISDOM:82 SPEED:64 | mood: focused

Combined with existing statusline data:

fullstack | 2 agent | 47 tools | 12m | [0_0] Lv.7 focused

Evolution

Your pet levels up with your achievement XP (shared with achievement system):

LevelTitleUnlock
1-4BabyBasic moods
5-9JuniorExtended moods (excited, angry)
10-19SeniorStat display in statusline
20-49ExpertCustom reactions to specific agents
50+MasterPet gives coding tips based on stats

Storage

State stored in ~/.claude/tamagotchi.json:

json
{
  "species": "robot",
  "emoji": "[0_0]",
  "level": 7,
  "mood": "focused",
  "stats": {
    "debugging": 65,
    "patience": 78,
    "chaos": 32,
    "wisdom": 82,
    "speed": 64
  },
  "lastFed": "2026-04-08T03:00:00Z",
  "totalSessions": 142
}

How It Works

  1. tamagotchi-engine hook runs on PostToolUse and SessionStart
  2. Updates stats based on tool calls and agent events
  3. Calculates mood from recent event patterns
  4. Writes to tamagotchi.json
  5. Statusline-writer reads tamagotchi.json and displays pet

Integration

  • achievement-tracker: Shares XP for leveling
  • statusline-writer: Displays pet in terminal
  • canavar: Error events affect pet mood
  • session-compressor: Pet state saved on compact

Frequently asked questions

What does the Agent Tamagotchi AI skill do?

Terminal pet that lives in your statusline. 12 species, 5 stats (DEBUGGING, PATIENCE, CHAOS, WISDOM, SPEED). Reacts to your workflow - happy when tests pass, sad when builds fail, excited during swarm mode. Deterministic species from user ID.

Why use Agent Tamagotchi on TypingMind?

Because you install it once and use it with any model. Agent Tamagotchi 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 Agent Tamagotchi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vibeeval/vibecosystem/tree/main/skills/agent-tamagotchi. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Tamagotchi?

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 Agent Tamagotchi?

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

Is the Agent Tamagotchi AI skill free?

Yes. It is published on GitHub by vibeeval under the MIT 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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