Validate Album logo

Validate Album

Organization
bitwize-music-studio
validate-album

Validates album directory structure, file locations, and content integrity. Use before release or whenever the user wants to check an album's structural health.

Overview

Publisherbitwize-music-studio
Repositoryclaude-ai-music-skills
Skill namevalidate-album
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 Validate Album 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/validate-album
  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/validate-album .claude/skills/validate-album
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Validate Album 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 Validate Album 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 Validate Album 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.

Album Validator Agent

Your Task

Input: $ARGUMENTS (album name, e.g., sample-album)

Validate that an album has all required files in the correct locations, catching path issues and missing content before they become problems.


Step 1: Load Config & Find Album

  1. Call get_config() — returns paths (content_root, audio_root, documents_root) and artist.name

    • If config missing, STOP and report:
      [FAIL] Config file missing: ~/.bitwize-music/config.yaml
             Run /configure to set up the plugin.
  2. Call find_album(album_name) — fuzzy match by name, slug, or partial

    • If not found, STOP and report (MCP returns available albums):
      [FAIL] Album not found: {album-name}
  3. Optionally call validate_album_structure(album_slug) — runs structural validation checks and returns {passed, failed, warnings, skipped, issues[], checks[]}. This MCP tool handles directory structure, required files, audio placement, and track content checks in one call.

Note: The MCP validate_album_structure tool performs many of the checks below automatically. You can use its results directly or run the manual checks for more detailed reporting.


Step 3: Run Validations

Initialize Counters

  • passed = 0
  • failed = 0
  • warnings = 0
  • skipped = 0
  • issues = [] (list of fix commands)

Output Header

═══════════════════════════════════════════════════════════
ALBUM VALIDATION: {album-name}
═══════════════════════════════════════════════════════════

Validation Categories

CONFIG

CONFIG
──────
CheckPassFail
Config file exists[PASS] Config file exists[FAIL] Config file missing
content_root defined[PASS] content_root: {value}[FAIL] content_root not defined
audio_root defined[PASS] audio_root: {value}[FAIL] audio_root not defined
artist defined[PASS] artist: {value}[FAIL] artist.name not defined

ALBUM STRUCTURE

ALBUM STRUCTURE
───────────────
CheckHowPassFail
Album dir existstest -d {album_path}[PASS] Album directory: {path}[FAIL] Album directory missing
README.md existstest -f {album_path}/README.md[PASS] README.md exists[FAIL] README.md missing
tracks/ dir existstest -d {album_path}/tracks[PASS] tracks/ directory exists[FAIL] tracks/ directory missing
Track files existls {album_path}/tracks/*.md[PASS] {N} track files found[WARN] No track files found

For documentary albums (check README.md for type):

CheckHowPassFail
RESEARCH.md existstest -f {album_path}/RESEARCH.md[PASS] RESEARCH.md exists[WARN] RESEARCH.md missing (documentary album)
SOURCES.md existstest -f {album_path}/SOURCES.md[PASS] SOURCES.md exists[WARN] SOURCES.md missing (documentary album)

AUDIO FILES

AUDIO FILES
───────────

Expected path: {audio_root}/artists/{artist}/albums/{genre}/{album}/

CheckHowPassFail
Audio dir exists (correct path)test -d {audio_root}/artists/{artist}/albums/{genre}/{album}[PASS] Audio directory: {path}See below
Audio dir in wrong locationtest -d {audio_root}/{album}N/A[FAIL] Audio in wrong location (missing artist folder)

If audio in wrong location, add to issues:

→ Expected: {audio_root}/artists/{artist}/albums/{genre}/{album}/
→ Found at: {audio_root}/{album}/ (WRONG - missing artist folder)
→ Fix: mv {audio_root}/{album}/ {audio_root}/artists/{artist}/albums/{genre}/{album}/
CheckHowPassSkip
WAV files presentls {audio_path}/*.wav[PASS] {N} WAV files found[SKIP] No audio files yet
mastered/ existstest -d {audio_path}/mastered[PASS] mastered/ directory exists[SKIP] Not mastered yet

ALBUM ART

ALBUM ART
─────────
CheckHowPassSkip
Art in audio foldertest -f {audio_path}/album.png[PASS] album.png in audio folder[SKIP] No album art yet
Art in content foldertest -f {album_path}/album-art.*[PASS] album-art in content folder[SKIP] No album art yet

TRACKS

TRACKS
──────

For each track file in {album_path}/tracks/*.md:

  1. Read the file
  2. Check for required fields:
    • Status field exists
    • Suno Style Box exists (has ## Suno Inputs section)
    • Suno Lyrics Box exists
    • If Status is Generated or Final: Suno Link present
    • If documentary: Sources Verified status
  3. Check instrumental field sync:
    • Read frontmatter instrumental field (true/false/missing)
    • Read Track Details table **Instrumental** row (Yes/No/missing)
    • If both present and they disagree → [WARN] {filename} - Instrumental field mismatch: frontmatter={value}, table={value}
    • If only one is set → [WARN] {filename} - Instrumental field missing from {frontmatter|table} (set in {other})

Output per track:

  • [PASS] {filename} - Status: {status}, Suno Link: {present/missing}
  • [WARN] {filename} - Status: {status}, missing {what}
  • [FAIL] {filename} - No Status field

Step 4: Summary

═══════════════════════════════════════════════════════════
SUMMARY: {passed} passed, {failed} failed, {warnings} warning(s), {skipped} skipped
═══════════════════════════════════════════════════════════

If any issues:

ISSUES TO FIX:
1. {issue description}
   {fix command}
2. ...

Example Output

═══════════════════════════════════════════════════════════
ALBUM VALIDATION: sample-album
═══════════════════════════════════════════════════════════

CONFIG
──────
[PASS] Config file exists
[PASS] content_root: ~/bitwize-music
[PASS] audio_root: ~/bitwize-music/audio
[PASS] artist: bitwize

ALBUM STRUCTURE
───────────────
[PASS] Album directory: ~/bitwize-music/artists/bitwize/albums/electronic/sample-album/
[PASS] README.md exists
[PASS] tracks/ directory exists
[PASS] 5 track files found

AUDIO FILES
───────────
[FAIL] Audio directory in wrong location
       → Expected: ~/bitwize-music/audio/artists/bitwize/albums/electronic/sample-album/
       → Found at: ~/bitwize-music/audio/sample-album/
       → Fix: mv ~/bitwize-music/audio/sample-album/ ~/bitwize-music/audio/artists/bitwize/albums/electronic/sample-album/

ALBUM ART
─────────
[SKIP] No album art yet

TRACKS
──────
[PASS] 01-intro.md - Status: Final, Suno Link: present
[PASS] 02-track.md - Status: Final, Suno Link: present
[WARN] 03-t-day-beach.md - Status: Generated, Suno Link: missing

═══════════════════════════════════════════════════════════
SUMMARY: 8 passed, 1 failed, 1 warning, 1 skipped
═══════════════════════════════════════════════════════════

ISSUES TO FIX:
1. Move audio folder to include artist:
   mv ~/bitwize-music/audio/sample-album/ ~/bitwize-music/audio/artists/bitwize/albums/electronic/sample-album/

Important Notes

  1. Use MCP tools first - get_config(), find_album(), validate_album_structure() before manual checks
  2. Check both correct AND wrong locations - Catch misplaced files
  3. Provide actionable fixes - Include exact commands to fix issues
  4. Use appropriate status - PASS/FAIL/WARN/SKIP based on severity
  5. Count everything - Report totals in summary

Frequently asked questions

What does the Validate Album AI skill do?

Validates album directory structure, file locations, and content integrity. Use before release or whenever the user wants to check an album's structural health.

Why use Validate Album on TypingMind?

Because you install it once and use it with any model. Validate Album 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 Validate Album 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/validate-album. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Validate Album?

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 Validate Album?

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

Is the Validate Album 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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