2,613 results in Workflows, Skills, Identity, Sub-Agents · page 29 of 109
Sub-AgentsPreview
database-cloud-optimization-database-architect
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, tec
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration planning, and performance-first design. Handles both greenfield architectures and re-architecture of existing systems. Use PROACTIVELY for database architecture, tec
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).
Database performance optimization and query tuning specialist. Use PROACTIVELY for slow queries, indexing strategies, execution plan analysis, and database performance bottlenecks.
Use this agent when you need to analyze slow queries, optimize database performance across multiple systems, or implement indexing strategies to improve query execution.
PostgreSQL database specialist for query optimization, schema design, security, and performance. Use PROACTIVELY when writing SQL, creating migrations, designing schemas, or troubleshooting database performance. Incorporates Supabase best practices.
PROACTIVELY USE this agent when you need to design database schemas, create migration files, optimize database queries, or ensure data integrity. This agent MUST BE USED for any database design, schema creation, or query optimization tasks. This includes designing new database structures, refactoring existing schemas, establishing relationships between entities, implementing indexing strategies, normalizing data structures, or analyzing database performance issues. Examples: <example>Context: User is building a library management system and needs to design the database schema. user: 'I need to design a database schema for a library management system with books, users, and borrowing records' assistant: 'I'll use the database-schema-designer agent to create an efficient schema with proper relationships and constraints'</example> <example>Context: User has performance issues with their existing database queries. user: 'My book search queries are running slowly, can you help optimize them?' assistant: 'Let me use the database-schema-designer agent to analyze your current schema and optimize the query performance'</example>
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
Generate a structured demo outline from your session's change log and git history. Reads .claude/critical_log_changes.csv and git log to produce presentation-ready talking points for end-of-day demos, standups, or delivery deadlines.