2,609 results in Sub-Agents, Workflows, Observability, Skills · page 29 of 109
Sub-AgentsPreview
database-schema-designer
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.
Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps).