analyze-jsonl
Analyze JSONL data files from humanizer benchmark to identify errors, length issues, and text quality. Use when checking data quality, finding failed entries, or validating pipeline outputs. Supports pre-filter...
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Analyze JSONL data files from humanizer benchmark to identify errors, length issues, and text quality. Use when checking data quality, finding failed entries, or validating pipeline outputs. Supports pre-filter...
Use this agent to coordinate database schema changes between SQLModel, Alembic migrations, and frontend types. User: "Add a new column to the users table" Agent: Use database-schema-coordinator for coordinate...
Integrate Moonshot AI pipeline best practices for dataset collection, labeling, cleansing, quadrality inference thinking model development, rolling stock power management, and industry-standard benchmarking wit...
Helps end-users get Snowflake access and use the platform. Use when users ask about requesting access, generating RSA keys, connecting to Snowflake, or basic Snowflake usage. Triggers on mentions of access requ...
A specialized skill for extracting, cleaning, and analyzing structured data from various formats (CSV, JSON, Markdown tables).
Build evaluation datasets for AIFindr agents by adding queries with expected responses extracted from a knowledge base. Use when asked to add queries to a W&B dataset, create evaluation test cases, or build gro...
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF...
Infrastructure, observability, and autoscaling guidelines for RawDrive. Use when working with Traefik, KEDA, Prometheus, Kafka, Kubernetes, or Docker configurations.
Bidirectional sync between Aurora YAML schemas and Google Sheets. Trigger: When syncing schemas to/from spreadsheets, push/pull commands, google sheets sync.
Firebase cost optimization patterns for Firestore, Storage, and Cloud Functions. Maximizes profit margin by minimizing unnecessary billing operations. Use when writing Firebase code, Firestore queries, Storage...
Project-specific Supabase usage patterns, clients, and migration workflow for this repo.
Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics. Applies data-quality-standard.md (95% minimum).
Advanced skill for SnowTower infrastructure administrators. Use for SnowDDL operations, user provisioning, role management, CI/CD deployments, troubleshooting, and Snowflake administration. Triggers on mentions...
High-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
MongoDB database exploration for understanding data, debugging, and investigation. Auto-applies when discussing database structure or debugging data issues.
Universal database operations skill for modern applications. Expert in SQLModel/SQLAlchemy patterns, async database operations, connection pooling, migrations, performance optimization, and multi-database suppo...
Build headless data tables with TanStack Table v8. Provides server-side pagination, filtering, sorting, and virtualization patterns for Cloudflare Workers + D1 databases. Use when building tables with large da...
Optimize Sunset Pipeline Moonshot Integration for 32GB RAM + RTX 3060 GPU environment with practical scaling, resource-efficient implementations, and achievable milestones. Use when implementing AI development...
Manage database schema changes with version control. Use when modifying DB schema, adding tables/columns, or setting up new projects. Covers Prisma, Drizzle, and migration best practices.
PostgreSQL database schema, table structures, relationships, and migration rules. Use this skill when working with SQLAlchemy models, Alembic migrations, or database design.
Prepare context for compaction. Run before /compact to ensure critical state survives.
Execute plan in batches with review checkpoints. Use when partner provides a complete implementation plan to execute with controlled batches and architect review between batches.
Resume spec implementation from checkpoint. Use when continuing task-dispatch after context limit or session break.
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.