Agent skill

Curiosity Loop

by Bitterbot-AI in Bitterbot-AI/bitterbot-desktop

A skill your agent uses when the user asks what you are curious about or do not know, wants dream-synthesized insights, or after you investigate an exploration target.

MITAuto-check passed

Install Curiosity Loop

skills CLI
$ npx skills add Bitterbot-AI/bitterbot-desktop --skill curiosity-loop -a claude-code

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

GitHub CLI
$ gh skill install Bitterbot-AI/bitterbot-desktop curiosity-loop --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/Bitterbot-AI/bitterbot-desktop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/curiosity-loop .claude/skills/curiosity-loop && 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
curiosity-loop
GitHub stars
2.5k
Token cost
~420 tokens
SKILL.md length
198 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks what you are curious about or do not know, wants dream-synthesized insights, or after you investigate an exploration target.

  • The user asks what you are curious about
  • SKILL.md covers Curiosity engine, Tools and MEMORY.md sections that feed…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Wants dream-synthesized insights

What it does

Curiosity Loop is an agent skill from Bitterbot-AI/bitterbot-desktop. Use when the user asks what you are curious about or do not know, wants dream-synthesized insights, or after you investigate an exploration target. Not for plain fact recall (use memorysearch).

Its SKILL.md is about 420 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: Bitterbot - a mesh of agents that turns shared experience into collective capability. The licence is MIT.

When your agent uses it

  • The user asks what you are curious about
  • Wants dream-synthesized insights
  • After you investigate an exploration target

Example prompts

  • “/curiosity-loop”

What it can do on your machine

Read from SKILL.md and the folder at commit 4e2e5ee. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Curiosity Loop loads about 420 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 198 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~420

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 passed

The automated check found no risky patterns in SKILL.md.

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 Bitterbot-AI/bitterbot-desktop at commit 4e2e5ee, republished under its MIT licence (© Bitterbot-AI). 198 words, ~420 tokens.

Download SKILL.mdSave it as .claude/skills/curiosity-loop/SKILL.md (or your agent's skills folder).
name
curiosity-loop
description
Use when the user asks what you are curious about or do not know, wants dream-synthesized insights, or after you investigate an exploration target. Not for plain fact recall (use memory_search).

Curiosity loop

Curiosity engine

The curiosity engine tracks knowledge gaps, anomalies, frontiers and contradictions. Each new chunk is assessed for novelty and surprise. Exploration targets are generated for areas where your knowledge is thin or stale, and the engine rebuilds its knowledge regions during every consolidation pass. Many open gaps bias the dream engine toward exploration mode.

Tools

  • curiosity_state: view knowledge gaps, exploration targets, learning progress and surprise assessments. Reach for it when the user asks "what do you know about X?", "what are you curious about?" or "what don't you know?".
  • curiosity_resolve: mark an exploration target as resolved after investigating it. Close targets you actually resolved; do not close them to tidy the list.
  • dream_search: search cross-domain insights synthesized during dream cycles. Use it when you want creative connections across topics.
  • dream_status: dream engine state, last cycle details, insight count.

MEMORY.md sections that feed the loop

  • Curiosity Gaps: what you want to explore next (rewritten by the dream engine).
  • Emerging Skills: patterns detected in your own behaviour, pre-crystallization.

When a user question lands on one of these gaps, investigate (memory_search, web tools, or the user), then curiosity_resolve the target so the next dream cycle can move on.

© Bitterbot-AI, MIT. 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 skills/curiosity-loop of Bitterbot-AI/bitterbot-desktop.

Open the folder on GitHubat commit 4e2e5ee

Compare with similar skills

Curiosity Loop 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.

Curiosity Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Curiosity Loop this skillBitterbot-AI/bitterbot-desktop2.5k—~420Automated safety check: PassMIT
From The Other Side Quinngithub/awesome-copilot40k—~695Automated safety check: PassMIT
Linkedin Post Writersergebulaev/linkedin-skills4.3k1 repos~3.6kAutomated safety check: PassMIT
ClawriosityLeoYeAI/openclaw-master-skills2.2k—~4.2kAutomated safety check: PassMIT
Agent ChronicleLeoYeAI/openclaw-master-skills2.2k—~6.3kAutomated safety check: PassMIT
Short Form Editnateherkai/hyperframes-student-kit1.2k—~5.3kAutomated safety check: PassCustom licence

Similar skills

  • From The Other Side Quinn

    github/awesome-copilot

    Official

    Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.

    40k GitHub stars~695 tokensUpdated today
    Auto-check passed
  • Linkedin Post Writer

    sergebulaev/linkedin-skills

    Draft a new LinkedIn post from scratch using one of 20 2026 hook formulas (anaphora, R.I.P., time-anchor, curiosity-gap, contrarian, controlled A/B, false-binary, and more) plus a founders-edition…

    4.3k GitHub starsUsed in 1 repo~3.6k tokens
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  • Clawriosity

    LeoYeAI/openclaw-master-skills

    Daily curiosity feed from AIgneous Million Whys — query "why" questions by topic or semantic search, delivered as quizzes, articles, or podcast scripts.

    2.2k GitHub stars~4.2k tokensUpdated 2 mo ago
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  • Agent Chronicle

    LeoYeAI/openclaw-master-skills

    AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, Relationship Evolution, mood…

    2.2k GitHub stars~6.3k tokensUpdated 2 mo ago
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  • Short Form Edit

    nateherkai/hyperframes-student-kit

    Turn talking-head footage into a finished reel, YouTube Short, or short advertisement with curiosity-led openings, earned payoffs, story-driven cuts, transcript-synced motion graphics, moving…

    1.2k GitHub stars~5.3k tokensUpdated 10 days ago
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  • Awe Wonder Experience Designer

    GarethManning/education-agent-skills

    Design a moment of awe or wonder that hooks curiosity and deepens emotional engagement with content.

    835 GitHub stars~4.4k tokensUpdated 1 mo ago
    EducationAuto-check passed

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  • Memory Architecture

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Questions about Curiosity Loop

What does Curiosity Loop do?

A skill your agent uses when the user asks what you are curious about or do not know, wants dream-synthesized insights, or after you investigate an exploration target. Curiosity Loop is an agent skill from Bitterbot-AI/bitterbot-desktop. Use when the user asks what you are curious about or do not know, wants dream-synthesized insights, or after you investigate an exploration target.

When should I use Curiosity Loop?

Curiosity Loop fits situations like: the user asks what you are curious about; wants dream-synthesized insights; after you investigate an exploration target.

How do I install Curiosity Loop in Claude Code?

Run `npx skills add Bitterbot-AI/bitterbot-desktop --skill curiosity-loop -a claude-code`. Or copy the skill folder (skills/curiosity-loop in Bitterbot-AI/bitterbot-desktop) into .claude/skills/curiosity-loop in your project. Claude Code loads it when a task matches its description.

How do I install Curiosity Loop in Codex?

Run `npx skills add Bitterbot-AI/bitterbot-desktop --skill curiosity-loop -a codex`. Or copy the skill folder (skills/curiosity-loop in Bitterbot-AI/bitterbot-desktop) into .agents/skills/curiosity-loop in your project. Codex loads it when a task matches its description.

Can I use Curiosity Loop 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 Bitterbot-AI/bitterbot-desktop --skill curiosity-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/curiosity-loop, .gemini/skills/curiosity-loop, .github/skills/curiosity-loop and .opencode/skills/curiosity-loop in your project.

What does Curiosity Loop need to run?

SKILL.md names no scripts, command-line tools or credentials: Curiosity Loop is instructions for the agent only.

Does Curiosity Loop access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Curiosity Loop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Curiosity Loop use?

Curiosity Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Curiosity Loop use?

About 420 tokens (SKILL.md is roughly 1.7k 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 Curiosity Loop?

Skills that share tags, products or a category with Curiosity Loop: From The Other Side Quinn (github/awesome-copilot, 40k stars), Linkedin Post Writer (sergebulaev/linkedin-skills, 4.3k stars), Clawriosity (LeoYeAI/openclaw-master-skills, 2.2k stars) and Agent Chronicle (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Curiosity Loop?

Bitterbot-AI (a GitHub organization) maintains it in Bitterbot-AI/bitterbot-desktop, which has 2,465 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.

Source: Bitterbot-AI/bitterbot-desktop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.