Databases Skill Leaderboard
A collection of AI agent skills for gcloud CLI integration, Google Cloud authentication, and cloud resource management.
A library of agent skill files covering the AI research lifecycle: autonomous experimentation, model architecture, fine-tuning, mechanistic interpretability, distributed training, safety, optimization, evaluation, inference serving, and MLOps.
Provides best practices for Postgres schema design, RLS policies, migrations, and performance diagnostics.
Provides expert design patterns for PostgreSQL tables, PostGIS spatial indexing, and database migrations.
Technical guidance for Apple platform development covering Swift 6 concurrency, Xcode diagnostics, accessibility auditing, and on-device AI implementation.
A set of 18 skills for AI agents to manage AWS services, including API Gateway, EC2, Bedrock, and CloudFormation.
A DevOps skill for deploying agent-built apps to production, managing provider integration and infrastructure wiring on the user's own accounts.
Manages Salesforce DevOps Center projects, including project creation, status updates, and pipeline foundation initialization.
A library of plugins that give AI agents the ability to architect, deploy, and operate AWS services including Lambda, API Gateway, and Amazon Location Service.
A set of development skills for Oracle APEX, featuring the APEXlang router for deterministic context discovery and application contracts.
A set of database skills for MySQL and PostgreSQL focusing on schema design, query optimization, and sharding strategies.
Builds cost-safe geospatial SQL for multiple database dialects and renders the output on interactive Dekart maps.
Tools for installing DuckDB, querying databases, reading remote and local files, and exploring S3 data.
Audits SwiftData code using a defined review process with reference files, returning file-level findings and code fixes.
Manages Railway projects, service provisioning, object storage, environment variables, and OpenTelemetry tracing.
Production-oriented Core Data guidance covering stack setup, fetch requests, threading, concurrency, batch operations, migrations, CloudKit, and performance troubleshooting.
Configures persistent long-term memory for OpenClaw AI agents with hybrid retrieval, smart extraction, multi-scope isolation, and self-improvement governance.