MCP HubMCP Hub
SKILL·3C223F

resume

bitwize-music-studio
Actualizado 1 month ago
9 vistas
358
81
358
Ver en GitHub
Otroai

Acerca de

Esta habilidad reanuda el trabajo en un álbum musical existente localizándolo mediante coincidencia aproximada de nombres y mostrando su estado detallado con los siguientes pasos. Se activa cuando un usuario menciona el nombre de un álbum o desea continuar un trabajo previo, utilizando herramientas MCP para ubicar el proyecto y gestionar estados de caché. La habilidad proporciona rutas claras de recuperación si el álbum no se encuentra o tiene múltiples coincidencias.

Instalación rápida

Claude Code

Recomendado
Principal
npx skills add bitwize-music-studio/claude-ai-music-skills -a claude-code
Comando PluginAlternativo
/plugin add https://github.com/bitwize-music-studio/claude-ai-music-skills
Git CloneAlternativo
git clone https://github.com/bitwize-music-studio/claude-ai-music-skills.git ~/.claude/skills/resume

Copia y pega este comando en Claude Code para instalar esta habilidad

Documentación

Resume Album Work

Purpose: Find an album and resume work where you left off.

Usage:

/bitwize-music:resume <album-name>
/bitwize-music:resume my-album
/bitwize-music:resume "demo album"

When to use: When user wants to continue working on an existing album.


Instructions

When this skill is invoked with an album name:

Step 1: Find the Album via MCP

  1. Call find_album(name) — fuzzy match by name, slug, or partial (case-insensitive)
  2. If not found: MCP returns available albums — suggest closest match or /bitwize-music:new-album
  3. If multiple matches: list all with paths, ask user which one
  4. If MCP returns stale/missing cache error: call rebuild_state() then retry

Step 2: Get Album Progress

  1. Call get_album_progress(album_slug) — returns track counts by status, completion percentage, and detected workflow phase
  2. Call list_tracks(album_slug) — returns per-track details (status, has_suno_link, sources_verified)

Step 3: Update Session Context

Call update_session(album=album_slug, phase=detected_phase) to set the active album and phase.

Step 4: Determine Current Phase

Based on album and track statuses, identify the workflow phase:

Album StatusTrack StatusesCurrent Phase
ConceptMost "Not Started"Planning - Need to fill in album README and create tracks
Research CompleteSome "Sources Pending"Verification - Need human verification of sources (documentary albums)
Sources VerifiedAll sources verifiedReady to Write - Sources cleared, begin lyrics (documentary albums)
In ProgressMixed, some "Not Started"Writing - Need to complete lyrics (or route instrumental tracks to suno-engineer)
In ProgressSome "Sources Pending"Verification - Need human verification of sources
In ProgressAll have lyricsReady to Generate - Run Ready to Generate checkpoint
In ProgressSome "Generated"Generating - Continue generating on Suno. Check Generation Logs for rejected tracks needing regeneration
In ProgressAll "Generated", none "Final"Review & Approve - Listen to generated tracks, mark keepers with ✓, regenerate rejected ones
CompleteAll "Final"Mastering - Ready to master audio
ReleasedAll "Final"Released - Album is live

Note: Non-documentary albums skip Research Complete and Sources Verified — they go directly from ConceptIn Progress.

Step 5: Report to User

Present a clear status report:

📁 Album: [Album Title]
   Location: {content_root}/artists/{artist}/albums/{genre}/{album}/
   Status: [Album Status]

📊 Progress:
   - Tracks: [X completed / Y total] ([N vocal, M instrumental])
   - Not Started: X
   - In Progress: Y
   - Generated: Z
   - Final: N

📍 Current Phase: [Phase Name]

✅ What's Done:
   - [List completed items]

⏭️ Next Steps:
   1. [Specific action 1]
   2. [Specific action 2]
   3. [Specific action 3]

Ready to continue? Tell me what you'd like to work on.

Step 6: Recommend the Single Best Next Action

Pick ONE clear recommendation from the decision tree below. Don't list 5 options — pick the best one, include the skill name, and be specific about which track.

Decision Tree (evaluate top-to-bottom, first match wins):

Instrumental detection: Check each track's frontmatter for instrumental: true or Track Details table for **Instrumental** | Yes. Instrumental tracks skip the lyrics workflow entirely and go straight to /bitwize-music:suno-engineer.

Album Status = "Concept"
  → "Define the album concept. Run /bitwize-music:album-conceptualizer"

Album Status = "Research Complete"
  → Any tracks Sources Pending?
    YES → "Sources need verification. Run /bitwize-music:verify-sources [album]"
    NO  → Any "Not Started" tracks instrumental?
      YES → "Create Style Box for instrumental track [name]. Use /bitwize-music:suno-engineer"
      NO  → "Ready to write! Pick a track and use /bitwize-music:lyric-writer"

Album has tracks with "Not Started"
  → Is the first not-started track instrumental?
    YES → "Create Style Box for [track]. Use /bitwize-music:suno-engineer directly (instrumental track)"
    NO  → "Write lyrics for [first not-started track]. Use /bitwize-music:lyric-writer"

Album has tracks with "In Progress" (lyrics partially written)
  → "Finish lyrics for [first in-progress track]. Use /bitwize-music:lyric-writer"

Album has tracks with "Sources Pending"
  → "Verify sources for [track]. Run /bitwize-music:verify-sources [album]"

All tracks have lyrics (or Style Box for instrumentals), none generated
  → Mixed album (vocal + instrumental)?
    YES → "All tracks ready! Run /bitwize-music:pronunciation-specialist on vocal tracks, then /bitwize-music:lyric-reviewer, then /bitwize-music:pre-generation-check to validate all gates (instrumental tracks auto-skip lyrics gates)."
    NO  → "All lyrics complete! Style prompts should be ready. Run /bitwize-music:pronunciation-specialist to check for pronunciation risks, then /bitwize-music:lyric-reviewer for final QC, then /bitwize-music:pre-generation-check to validate all gates before generating on Suno."

Some tracks generated, some not
  → Any Generated tracks without ✓ in Generation Log Rating?
    YES → "Track [name] was generated but not approved. Listen and decide:
           - Happy? Mark ✓ in Generation Log and set Status: Final
           - Not happy? Log the reason, then:
             Style issue → /bitwize-music:suno-engineer to revise Style Box
             Lyrics issue → /bitwize-music:lyric-writer to fix, then regenerate
             Bad luck → Regenerate on Suno with same settings (it's non-deterministic)"
    NO  → "Generate [first un-generated track] on Suno. Use /bitwize-music:suno-engineer"

All tracks generated, none Final
  → "All tracks generated! Listen to each track and approve:
     - Mark keepers with ✓ in Generation Log Rating column
     - Reject and regenerate any that don't meet quality standards
     - Once all have ✓, batch-approve:
       Use update_track_field(album_slug, track_slug, 'status', 'Final') for each approved track.
       Once all Final, album advances to Complete automatically."

All tracks generated, some Final
  → Any Generated (non-Final) tracks without ✓?
    YES → "Review track [name] — listen and approve (✓) or regenerate"
    NO  → "All tracks approved! Batch-approve: update_track_field(album_slug, track_slug, 'status', 'Final') for each.
           Then import audio with /bitwize-music:import-audio, then master with /bitwize-music:mastering-engineer"

All tracks Final
  → "All tracks approved! Import audio with /bitwize-music:import-audio, then master with /bitwize-music:mastering-engineer"

Album Status = "Complete"
  → "Album is complete! Release with /bitwize-music:release-director"

Album Status = "Released"
  → "This album is released! Consider /bitwize-music:promo-director for promotional content"
  → Also suggest: "Start a new album? Check /bitwize-music:album-ideas list"

Format the recommendation as:

RECOMMENDED NEXT ACTION:
  [Clear, specific instruction with skill name and track name]

WHY:
  [One sentence explaining why this is the right next step]

When No Album Specified (No Arguments)

If invoked without an album name:

  1. Call get_session() — check last_album from session context, resume that album
  2. If no session context, call list_albums() to find all in-progress albums
  3. Prioritize: closest to completion > unblocked work > last worked on
  4. If no albums exist, suggest /bitwize-music:new-album

Present a multi-album summary if multiple are in progress:

You have X albums. Here's the most actionable:

PRIORITY 1: [album-name] ([genre])
  Status: [status] | Progress: [X/Y tracks]
  → [Recommended action]

Also in progress:
  - [album-2] — [brief status]

Examples

Example 1: Album in Writing Phase

/bitwize-music:resume my-album

📁 Album: My Album
   Location: ~/bitwize-music/artists/bitwize/albums/rock/my-album/
   Status: In Progress

📊 Progress:
   - Tracks: 3 completed / 8 total
   - Not Started: 3
   - In Progress: 2
   - Final: 3

📍 Current Phase: Writing Lyrics

✅ What's Done:
   - Tracks 1-3 have final lyrics
   - Album concept and tracklist defined

⏭️ Next Steps:
   1. Complete lyrics for Track 4 (in progress)
   2. Complete lyrics for Track 5 (in progress)
   3. Write lyrics for Tracks 6-8

Ready to continue? Tell me which track you'd like to work on.

Example 2: Album Ready for Generation

/bitwize-music:resume demo-album

📁 Album: Demo Album
   Location: ~/bitwize-music/artists/bitwize/albums/electronic/demo-album/
   Status: In Progress

📊 Progress:
   - Tracks: 8 / 8 total (all lyrics complete)
   - Final: 8

📍 Current Phase: Ready to Generate

✅ What's Done:
   - All 8 tracks have complete lyrics
   - All lyrics phonetically reviewed
   - Suno Style and Lyrics boxes filled

⏭️ Next Steps:
   1. Run Ready to Generate checkpoint (I'll verify everything)
   2. Start generating on Suno
   3. Log generation attempts

Shall I run the Ready to Generate checkpoint now?

Example 3: Album Not Found

/bitwize-music:resume my-album

❌ Album 'my-album' not found.

Available albums:
- demo-album (electronic) - In Progress
- example-tracks (hip-hop) - Complete

Did you mean one of these? Or use /bitwize-music:new-album to create a new album.

Implementation Notes

  • Use MCP tools - find_album, get_album_progress, list_tracks, update_session instead of reading state.json directly
  • Case-insensitive matching - "Sample-Album" should match "sample-album"
  • Handle missing albums gracefully - List what exists, don't error
  • Be specific about next steps - Don't just say "continue working", say exactly what to do
  • Include full paths - User needs to know where files are located
  • Use emojis sparingly - Only for section headers in the report

Model

Use Sonnet 4.5 - This is a coordination/reporting task, not creative work.

Repositorio GitHub

bitwize-music-studio/claude-ai-music-skills
Ruta: skills/resume
0
ai-musicai-music-toolsaudio-masteringclaudeclaude-codeclaude-code-plugin
FAQ

Frequently asked questions

What is the resume skill?

resume is a Claude Skill by bitwize-music-studio. Skills package instructions and resources that Claude loads on demand, so Claude can perform resume-related tasks without extra prompting.

How do I install resume?

Use the install commands on this page: add resume to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does resume belong to?

resume is in the Other category, tagged ai.

Is resume free to use?

Yes. resume is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

Habilidades relacionadas

llamaguard
Otro

LlamaGuard es el modelo de Meta de 7-8B parámetros para moderar las entradas y salidas de LLM en seis categorías de seguridad como violencia y discurso de odio. Ofrece una precisión del 94-95% y puede implementarse usando vLLM, Hugging Face o Amazon SageMaker. Utiliza esta skill para integrar fácilmente filtrado de contenido y barreras de seguridad en tus aplicaciones de IA.

Ver habilidad
cost-optimization
Otro

Esta Skill de Claude ayuda a los desarrolladores a optimizar los costes en la nube mediante el ajuste de tamaño de recursos, estrategias de etiquetado y análisis de gastos. Proporciona un marco para reducir los gastos en la nube e implementar una gobernanza de costes en AWS, Azure y GCP. Úsala cuando necesites analizar los costes de infraestructura, ajustar el tamaño de los recursos o cumplir con restricciones presupuestarias.

Ver habilidad
sports-betting-analyzer
Otro

Esta habilidad de Claude analiza los mercados de apuestas deportivas, incluyendo spreads, over/unders y apuestas de propuestas, mediante el examen de tendencias históricas y estadísticas situacionales para identificar apuestas de valor. Proporciona una salida en markdown estructurado con recomendaciones accionables con fines educativos. Los desarrolladores deben utilizar esto para herramientas de análisis de apuestas deportivas, teniendo en cuenta que está diseñado únicamente para entretenimiento/educación.

Ver habilidad
quantizing-models-bitsandbytes
Otro

Esta habilidad cuantiza LLMs a precisión de 8 o 4 bits utilizando bitsandbytes, logrando una reducción de memoria del 50-75% con pérdida mínima de precisión. Es ideal para ejecutar modelos más grandes en memoria GPU limitada o para acelerar la inferencia, admitiendo formatos como INT8, NF4 y FP4. La habilidad se integra con HuggingFace Transformers y permite entrenamiento QLoRA y optimizadores de 8 bits.

Ver habilidad