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Found 1,392 Skills
End-to-end ETL pipeline and analytics application for Harvard Art Museums API with Streamlit dashboards
Implement database sharding for horizontal scalability. Use when scaling large databases, distributing data across multiple servers, or designing sharded architectures.
Design database schemas with proper normalization, relationships, constraints, and indexes. Use when creating database tables, modeling data relationships, or designing database structure.
Query Windows 11 version 24H2 cumulative update file information. Search for DLLs, drivers, and system files across all patch levels. Compare file versions between builds, track version history, and identify what changed in each update. Use when: (1) investigating which Windows build introduced a file version, (2) comparing file changes between patches, (3) finding DLL/driver versions for specific builds, (4) debugging Windows update regressions, (5) user asks about Windows 11 24H2 files, KB updates, or build versions.
LLM-as-a-judge HTTP/HTTPS proxy that secures AI agents by intercepting and evaluating outbound requests against security policies before they reach external APIs.
Validate pending migrations for foreign key consistency, rollback safety, and best practices
Discover what's in the connected warehouse — schemas, tables, columns, and CARTO named sources.
Focused Signals scout for PostHog projects using session replay. Watches two promises the replay product makes: that sessions are actually being recorded (capture integrity — recording volume vanishing while site traffic doesn't), and that the friction evidence inside recordings gets seen (rage-click / dead-click clusters concentrating on a page or element, error-after-interaction cohorts, recurring replay vision themes nobody aggregates). Emits findings only when they clear the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet.
Store a learning, pattern, or decision in the memory system for future recall
Runs a quick overview of Clickhouse server health.
Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.
Deep dive on a PostHog user by email address. Analyze what they do, where they spend time, and what products they use.