GitHub
parallel-execution
CRITICAL skill for executing multiple Task tool calls in a SINGLE message for true parallelism. Essential for efficient multi-task workflows, subagent coordination, and maximizing throughput.
☆ 158Voir le skill
CloudAI-X AI Skills
GitHub ↗Explorez les skills IA publiés de CloudAI-X et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
40Étoiles des dépôts des skills indexés
25,382Forks du dépôt
3,199Moyenne des étoiles par skill indexé
635Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
designing-apis
Guides REST and GraphQL API design, endpoint patterns, request/response schemas, versioning, and API best practices. Use when building APIs, designing endpoints, or reviewing API contracts.
☆ 158Voir le skill
GitHub
analyzing-projects
Guides systematic project analysis, codebase exploration, and architecture pattern recognition. Use when understanding new codebases, onboarding to projects, or investigating system structure.
☆ 158Voir le skill
GitHub
x-algo-scoring
Calculate and explain X algorithm engagement scores. Use when analyzing post ranking, understanding score weights, engagement potential, or why one post ranks higher than another.
☆ 10Voir le skill
GitHub
x-algo-engagement
Reference for X algorithm engagement types and signals. Use when analyzing engagement metrics, action predictions, or understanding what signals the algorithm tracks.
☆ 10Voir le skill
GitHub
x-algo-ml
Explain the Phoenix ML model architecture for X recommendations. Use when users ask about embeddings, transformers, how predictions work, or ML model details.
☆ 10Voir le skill
GitHub
x-algo-pipeline
Explain the complete X recommendation algorithm pipeline. Use when users ask how posts are ranked, how the algorithm works, or want an overview of the recommendation system.
☆ 10Voir le skill
GitHub
x-algo-filters
Explain why posts get filtered from the X feed. Use when analyzing why a post was removed, not shown, or filtered out of recommendations.
☆ 10Voir le skill
GitHub
world-labs-text-prompt
Text-to-world generation best practices, prompt structure, style descriptors
GitHub
world-labs-chisel
Chisel 3D blocking tool for world generation - geometry, walls, and reference models
GitHub
world-labs-pano-video
Panorama and video input for world generation - maximum layout control
GitHub
world-labs-image-prompt
Single image input for world generation - requirements, best practices, and examples
GitHub
world-labs-studio
World Labs Studio - Compose multiple worlds, record camera animations, and expand boundaries
GitHub
world-labs-multi-image
Multi-image input with direction control and auto layout for world generation
GitHub
world-labs-export
World Labs export formats - Gaussian splats, meshes, images, and engine integrations
GitHub
world-labs-api
World Labs Marble API integration - authentication, endpoints, models, and media uploads
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.