mcpbeat Sign in

Album Dashboard Skill for Claude

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.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
399
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill album-dashboard

The instruction itself

15 sections, as written by the author

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:

| Phase | Complete When |

|-------|-------------|

| 1. Concept | Album README has title, genre, tracklist defined |

| 2. Research | RESEARCH.md and SOURCES.md exist (if source-based) |

| 3. Source Verification | All tracks with sources have sources_verified: Verified or N/A |

| 4. Lyrics | All tracks have lyrics in their Lyrics Box |

| 5. Pronunciation | All pronunciation table entries applied in lyrics |

| 6. Review | Lyrics reviewed (no critical issues remain) |

| 7. Generation | All tracks have has_suno_link: true |

| 8. Mastering | Audio files exist in {audio_root}/artists/{artist}/albums/{genre}/{album}/ |

| 9. Release | Album status is "Released" |


Data Collection

From MCP Server

  • Call get_album_progress(album_slug) — returns completion stats, phase detection, track counts by status
  • Call find_album(name) — returns album metadata (genre, status, track list with per-track fields)
  • 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

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

Other skills for the same job

different authors, same section of the catalogue
XLSX
by anthropics
vendor ×15

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

5k tokens scripts
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens

How to use it

Copy the folder

Take bitwize-music-studio/album-dashboard from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.