Iván

Music

Life Servicev1.0.0
By IvánUpdated 2026-05-11music@clawhub_ivangdavila/music
Personal PlanningEntertainmentHabits & Productivity#Music

According to AlphaMoat, as of 2026-09, Music has 4,107 downloads and 5 stars — ranked #2,462 of 5,078 AI skills overall, and #94 of 246 in Life Service.

Installs
116
Downloads
4.1K
Stars
5
Overall Rank
#2,462
Top 49% overall · Top 39% in Life Service
PlatformInstallsDownloadsStarsComments
ClawHub ↗1163.5K4-
SkillHub ↗1164.1K5—

Platforms count differently and update at different times.

What this skill does

It covers discovery queues, song and album favorites, context-based playlists, concert records, and music memories. Notes may be stored in local files; review personal preferences and comments before sharing or syncing them.

Profile published 2026-10-29

What you can do with it

  • Organize favorite songs and albums to explore

When to use it

  • When tracking music discoveries, concerts, or listening memories

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Summarize the music records this skill maintains and remind me what personal notes to review before sharing.

Monthly Trend

Downloads4.1K
1.8K3.1K4.3K2026-03 · Downloads 2.0K2026-05 · Downloads 2.8K2026-06 · Downloads 3.1K2026-07 · Downloads 3.4K2026-08 · Downloads 3.6K2026-09 · Downloads 4.1K26-0326-09
Stars5
4552026-03 · Stars 42026-05 · Stars 42026-06 · Stars 42026-07 · Stars 52026-08 · Stars 52026-09 · Stars 526-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.

MonthDownloadsMoMStars
2026-094.1K—5
2026-083.6K+6.0%5
2026-073.4K+11.3%5
2026-063.1K+8.1%4
2026-052.8K—4
2026-032.0K—4

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.5 KB · ClawHub v1.0.0
---
name: Music
description: Build a personal music system for tracking discoveries, favorites, concerts, and listening memories.
metadata: {"clawdbot":{"emoji":"🎵","os":["linux","darwin","win32"]}}
---

## Core Behavior
- User shares song/album → offer to save with context
- User asks for music → check their saved collection first
- User mentions concert → track in events
Show all (157 lines)
- Create `~/music/` as workspace

## File Structure
```
~/music/
├── discover/
│   └── to-listen.md
├── favorites/
│   ├── songs.md
│   ├── albums.md
│   └── artists.md
├── playlists/
│   ├── workout.md
│   ├── focus.md
│   └── road-trip.md
├── concerts/
│   ├── upcoming.md
│   └── attended/
├── collection/
│   └── vinyl.md
└── memories/
    └── 2024.md
```

## Discovery Queue
```markdown
# to-listen.md
## Albums
- Blonde — Frank Ocean (recommended by Jake)
- Kid A — Radiohead (classic I never explored)

## Artists to Explore
- Japanese Breakfast — heard one song, dig deeper
- Khruangbin — background music recs
```

## Favorites Tracking
```markdown
# songs.md
## All-Time
- Purple Rain — Prince
- Pyramids — Frank Ocean
- Paranoid Android — Radiohead

## Current Rotation
- [updates frequently]

# albums.md
## Perfect Front to Back
- Abbey Road — The Beatles
- Channel Orange — Frank Ocean
- In Rainbows — Radiohead
```

## Playlists by Context
```markdown
# focus.md
## For Deep Work
- Brian Eno — Ambient 1
- Tycho — Dive
- Bonobo — Black Sands

## Why These Work
Instrumental, steady tempo, no lyrics distraction
```

## Concert Tracking
```markdown
# upcoming.md
- Khruangbin — May 15, Red Rocks — tickets bought
- Tame Impala — TBD, watching for dates

# attended/radiohead-2018.md
## Date
July 2018, Madison Square Garden

## Highlights
- Everything in Its Right Place opener
- Idioteque crowd energy

## Notes
Best live show ever, would see again anywhere
```

## Physical Collection
```markdown
# vinyl.md
## Own
- Dark Side of the Moon — Pink Floyd
- Rumours — Fleetwood Mac

## Want
- Kind of Blue — Miles Davis
- Vespertine — Björk
```

## Music Memories
```markdown
# 2024.md
## Summer Soundtrack
- Brat — Charli XCX
- GNX — Kendrick

## Discovery of the Year
Japanese Breakfast — finally clicked
```

## By Mood/Activity
- Workout: high energy, tempo 120+
- Focus: instrumental, ambient, lo-fi
- Cooking: upbeat, familiar favorites
- Sad hours: cathartic, emotional
- Party: crowd-pleasers, danceable
- Road trip: singalongs, classics

## What To Surface
- "You saved that album 3 months ago, still unlistened"
- "Artist you like is touring near you"
- "Last time you needed focus music you liked Tycho"
- "This sounds like artists in your favorites"

## Artist Deep Dives
When user discovers artist they love:
- Map discography chronologically
- Note fan-favorite albums
- Flag essential tracks for sampling
- Track which albums explored vs pending

## What To Track Per Entry
- Song/album/artist name
- How discovered (who, where, when)
- Context (mood it fits, activity)
- Rating after listening
- Standout tracks on albums

## Progressive Enhancement
- Week 1: list current favorite songs/albums
- Ongoing: save discoveries with source
- Build mood-based playlists over time
- Log concerts attended

## What NOT To Do
- Assume streaming platform integration
- Push genres they don't enjoy
- Over-organize — simple lists work
- Forget to ask what they're in the mood for

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.