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Album Dashboard

Organization
bitwize-music-studio
album-dashboard

Shows a structured progress dashboard for an album with percentage complete per phase, blocking items, and status breakdown. Use for a quick visual overview of album progress.

Overview

Publisherbitwize-music-studio
Repositoryclaude-ai-music-skills
Skill namealbum-dashboard
Stars
546
Forks
130
Bundled files
Instructions only
LicenseCC0-1.0
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 bitwize-music-studio on GitHub. Read the source before you install it.

Installation

Install the Album Dashboard 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/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/album-dashboard
  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/bitwize-music-studio/claude-ai-music-skills.git /tmp/claude-ai-music-skills
mkdir -p .claude/skills
cp -r /tmp/claude-ai-music-skills/skills/album-dashboard .claude/skills/album-dashboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Album Dashboard 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 Album Dashboard 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 Album Dashboard 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.

Your Task

Input: $ARGUMENTS (album name)

Generate a structured progress dashboard for the specified album.


Album Dashboard

You generate a comprehensive progress report for an album, showing completion percentage per workflow phase, blocking items, and a structured status breakdown.


Workflow Phases

Track completion across these phases:

PhaseComplete When
1. ConceptAlbum README has title, genre, tracklist defined
2. ResearchRESEARCH.md and SOURCES.md exist (if source-based)
3. Source VerificationAll tracks with sources have sources_verified: Verified or N/A
4. LyricsAll tracks have lyrics in their Lyrics Box
5. PronunciationAll pronunciation table entries applied in lyrics
6. ReviewLyrics reviewed (no critical issues remain)
7. GenerationAll tracks have has_suno_link: true
8. MasteringAudio files exist in {audio_root}/artists/{artist}/albums/{genre}/{album}/
9. ReleaseAlbum status is "Released"

Data Collection

From MCP Server

  1. Call get_album_progress(album_slug) — returns completion stats, phase detection, track counts by status
  2. Call find_album(name) — returns album metadata (genre, status, track list with per-track fields)
  3. Call list_track_files(album_slug) — returns tracks with file paths for any additional checks

These three calls replace all manual state.json reads and file globbing.


Dashboard Format

ALBUM DASHBOARD
===============

[Album Title] ([genre])
Status: [status]

PROGRESS BY PHASE
─────────────────
[============================  ] 90%  Concept
[============================  ] 90%  Research
[========================      ] 75%  Source Verification
[====================          ] 63%  Lyrics Written
[================              ] 50%  Pronunciation
[============                  ] 38%  Reviewed
[========                      ] 25%  Generated
[                              ]  0%  Mastered
[                              ]  0%  Released

OVERALL: ████████░░░░░░░░ 47% complete

TRACK STATUS BREAKDOWN
──────────────────────
| # | Track | Status | Suno | Sources |
|---|-------|--------|------|---------|
| 01 | Track One | Final | link | Verified |
| 02 | Track Two | In Progress | — | Pending |
| 03 | Track Three | Not Started | — | N/A |
...

BLOCKING ITEMS
──────────────
! Track 02: Sources pending verification — blocks generation
! Track 05: No style prompt — blocks generation
! Track 07: Pronunciation table not applied — blocks generation

SUMMARY
───────
Tracks: [X complete / Y total]
Blocking: [N items]
Next action: [recommendation]

Phase Completion Calculation

Concept Phase

  • 100% if: Album README has title AND tracklist with actual track names (not template)
  • 50% if: README exists but tracklist is template placeholder
  • 0% if: No README

Research Phase (source-based albums only)

  • 100% if: RESEARCH.md AND SOURCES.md both exist with content
  • 50% if: Only one exists
  • N/A if: Album is not source-based (no tracks have sources_verified field or all are N/A)

Source Verification Phase

  • % = (tracks with Verified or N/A) / total tracks * 100
  • Skip tracks where sources_verified is N/A for the denominator

Lyrics Phase

  • % = (tracks with lyrics content) / total tracks * 100

Generation Phase

  • % = (tracks with has_suno_link=true) / total tracks * 100

Mastering Phase

  • Check {audio_root}/artists/{artist}/albums/{genre}/{album}/ for WAV/FLAC files
  • % = (audio files found) / total tracks * 100

Release Phase

  • 100% if album status is "Released", 0% otherwise

Remember

  1. Visual progress bars — Use ASCII progress bars for quick scanning
  2. Highlight blockers — Blocking items are the most important info
  3. Include next action — End with a clear recommendation
  4. Be accurate — Count carefully, don't estimate
  5. Handle missing data gracefully — If audio_root doesn't exist, mastering is 0%

Frequently asked questions

What does the Album Dashboard AI skill do?

Shows a structured progress dashboard for an album with percentage complete per phase, blocking items, and status breakdown. Use for a quick visual overview of album progress.

Why use Album Dashboard on TypingMind?

Because you install it once and use it with any model. Album Dashboard 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 Album Dashboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/album-dashboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Album Dashboard?

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 Album Dashboard?

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

Is the Album Dashboard AI skill free?

Yes. It is published on GitHub by bitwize-music-studio under the CC0-1.0 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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