vibe
Skill23 starsChanged 7 months agoMITView on GitHub
Vibe — reads your session and picks the perfect genre
We split this skill into the rules it gives an agent
5 rules. 0 are common, 2 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Read the genre metadata from sources.yml:
- Distinctive: line 46
When in doubt, lean towards relaxing genres (lofi, ambient, classical).
- Very specific: line 62
If takeover is true in the JSON output: prefix with *Switched over from another session —*
- Very specific: line 63
If error about no audio player: run the install_command (if has_sudo is true) or nosudo_hint (if false) from the JSON, then retry play …
- Distinctive: line 65
Keep it to one line. Do not explain your reasoning.
“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
This skill is part of the claude-music plugin. Only invoke when the user explicitly uses the slash command.
Vibe
Auto-detect the right music based on what's happening in the current session. No user input needed — the DJ reads the room.
Instructions
You have the full conversation context. Pick the best music and play it in ONE step. Do NOT spawn an agent or delegate.
Step 1: Read the room and pick music
Read the genre metadata from sources.yml:
python3 -c "
import sys
try:
import yaml
with open('${CLAUDE_PLUGIN_ROOT}/config/sources.yml') as f:
data = yaml.safe_load(f)
except ImportError:
sys.exit(1)
for genre, info in data.items():
print(f'{genre}:')
for s in info.get('stations', []):
tags = ', '.join(s.get('tags', []))
print(f' - {s[\"name\"]}: {s.get(\"description\", \"\")}')
print(f' tags: {tags}')
print()
"Using the tags and descriptions, match the session context to the best genre. Consider:
- What the user has been working on (e.g. debugging, building a feature, reviewing code)
- The general mood/pace of the session
- Any explicit mood signals from the user
When in doubt, lean towards relaxing genres (lofi, ambient, classical). The user prefers a chill atmosphere. Only pick high-energy genres if the session strongly suggests it.
Step 2: Play it
Pick a specific station name from the matched genre, then:
"${CLAUDE_PLUGIN_ROOT}/scripts/music-controller.sh" play "<station name>"Step 3: Respond
Return a message in EXACTLY this format:
♪ Now playing {genre} — {station name}. {one-liner reason tied to the session} ♪
- If
takeoveristruein the JSON output: prefix with Switched over from another session — - If error about no audio player: run the
install_command(ifhas_sudois true) ornosudo_hint(if false) from the JSON, then retry play automatically.
Keep it to one line. Do not explain your reasoning.
Other versions16 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 16
- mistralai/mistral-vibe★ 5.3ksame name
- foryourhealth111-pixel/Vibe-Skills★ 3.8ksame name
- pcx-wave/vibe-skill★ 118same name
- geeks-accelerator/in-bed-ai★ 26same name
- rizukirr/vibekit★ 20same name
- th3vib3coder/vibe-science★ 16same name
- JustineDevs/meta-architect★ 5same name
- Ally-for-Hire/Github-Vibe-Skill★ 2same name
- JustineDevs/premortem★ 2same name
- kiril6/vibeaudio★ 2same name
6 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

