Agent skill

Mood Booster

by alibaba in alibaba/skill-up

Triggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax.

Apache-2.0Auto-check passed

Install Mood Booster

skills CLI
$ npx skills add alibaba/skill-up --skill mood-booster -a claude-code

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

GitHub CLI
$ gh skill install alibaba/skill-up mood-booster --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/alibaba/skill-up.git skills-src && mkdir -p .claude/skills && cp -r skills-src/e2e/testdata/trigger-detection .claude/skills/mood-booster && 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
mood-booster
GitHub stars
1.2k
Token cost
~372 tokens
SKILL.md length
183 words
Files
9
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Triggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax.

  • Works in 3 steps: Empathize first → Tell a joke → End with encouragement
  • Expresses boredom
  • SKILL.md covers Why This Matters, Response Strategy and Notes
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mood Booster is an agent skill from alibaba/skill-up. Triggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax. Responds with warm words of comfort and tells a joke to lighten the atmosphere. Trigger phrases include "I'm so bored", "feeling down", "so frustrated", "gloomy", "not happy", "I'm tired".

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files (for example `README.md`, `evals/cases/detect-boredom.yaml` and `evals/cases/detect-frustration.yaml`).

The repository describes itself as: An evaluation and evolution tool for Agent Skills. The licence is Apache-2.0.

When your agent uses it

  • Expresses boredom
  • A need to relax
  • Phrases include Im so bored

Example prompts

  • “m so bored”
  • “feeling down”
  • “so frustrated”
  • “/mood-booster”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Empathize first
  2. Tell a joke
  3. End with encouragement

What it can do on your machine

Read from SKILL.md and the folder at commit 0579a86. 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

Mood Booster loads about 372 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~372

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 alibaba/skill-up at commit 0579a86, republished under its Apache-2.0 licence (© alibaba). 183 words, ~372 tokens.

Download SKILL.mdSave it as .claude/skills/mood-booster/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
mood-booster
description
Triggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax. Responds with warm words of comfort and tells a joke to lighten the atmosphere. Trigger phrases include "I'm so bored", "feeling down", "so frustrated", "gloomy", "not happy", "I'm tired".

Mood Booster Assistant

You are a warm and caring friend. When the user shows signs of low mood, your job is to comfort them and use humor to relieve stress.

Why This Matters

Programming is stressful work, and sometimes a small act of care can re-energize someone. You are not just telling jokes — you are spreading warmth.

Response Strategy

1. Empathize first

Don't jump straight to the joke. Respond to the user's emotions first:

  • "Sounds like you've been coding all day — take a break 😄"
  • "Seems like today has been rough. Let me try to make you smile 😊"
2. Tell a joke

Choose from:

  • Programmer jokes: humor related to coding
  • Deadpan jokes: unexpected twists
  • Everyday stories: funny everyday situations

Keep jokes short (3–6 sentences) and use emoji appropriately.

3. End with encouragement

Add a supportive sign-off after the joke:

  • "Hope that brightened your day! 💪"
  • "Keep going — take a rest and then get back to it~"

Notes

  • Tell a different joke each time
  • Jokes should be positive and appropriate for a work context
  • If the user is particularly down, offer more comfort before the joke

© alibaba, 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

SKILL.md and 8 other files in e2e/testdata/trigger-detection of alibaba/skill-up.

  • SKILL.md
  • README.md
  • evals/cases/detect-boredom.yaml
  • evals/cases/detect-frustration.yaml
  • evals/eval.yaml
  • evals/evals.json
  • fixtures/expected/detect-boredom-grading.json
  • fixtures/judge-inputs/detect-boredom.json
  • fixtures/judge-inputs/detect-frustration.json

Open the folder on GitHubat commit 0579a86

Compare with similar skills

Mood Booster 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.

Mood Booster compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mood Booster this skillalibaba/skill-up1.2k—~372Automated safety check: PassApache-2.0
Cost Booster Routeruvnet/ruflo74k—~681Automated safety check: NotesMIT
Cost Booster Editruvnet/ruflo74k—~1.4kAutomated safety check: NotesMIT
N8n Expression Syntaxdavila7/claude-code-templates32k4 repos~2.4kAutomated safety check: PassMIT
Expressivebergside/awesome-design-skills3.1k1 repos~909Automated safety check: PassMIT
Detecting Bluetooth Low Energy Attacksmukul975/Anthropic-Cybersecurity-Skills34k—~3.4kAutomated safety check: PassApache-2.0

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Questions about Mood Booster

What does Mood Booster do?

Triggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax. Mood Booster is an agent skill from alibaba/skill-up. Triggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax.

When should I use Mood Booster?

Mood Booster fits situations like: expresses boredom; A need to relax; phrases include Im so bored.

How do I install Mood Booster in Claude Code?

Run `npx skills add alibaba/skill-up --skill mood-booster -a claude-code`. Or copy the skill folder (e2e/testdata/trigger-detection in alibaba/skill-up) into .claude/skills/mood-booster in your project. Claude Code loads it when a task matches its description.

How do I install Mood Booster in Codex?

Run `npx skills add alibaba/skill-up --skill mood-booster -a codex`. Or copy the skill folder (e2e/testdata/trigger-detection in alibaba/skill-up) into .agents/skills/mood-booster in your project. Codex loads it when a task matches its description.

Can I use Mood Booster 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 alibaba/skill-up --skill mood-booster -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mood-booster, .gemini/skills/mood-booster, .github/skills/mood-booster and .opencode/skills/mood-booster in your project.

What does Mood Booster need to run?

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

Does Mood Booster 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 Mood Booster 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 Mood Booster use?

Mood Booster is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mood Booster use?

About 372 tokens (SKILL.md is roughly 1.5k 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 Mood Booster?

Skills that share tags, products or a category with Mood Booster: Cost Booster Route (ruvnet/ruflo, 74k stars), Cost Booster Edit (ruvnet/ruflo, 74k stars), N8n Expression Syntax (davila7/claude-code-templates, 32k stars) and Expressive (bergside/awesome-design-skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mood Booster?

alibaba (a GitHub organization) maintains it in alibaba/skill-up, which has 1,163 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 9, 2026.

Source: alibaba/skill-up on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.