Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
104 skills found
Perform cohort analysis on user engagement data. Identify retention trends, feature adoption rates, churn patterns, and generate actionable research recommendations through quantitative data analysis.
Database schema validation, data integrity testing, migration validation, transaction isolation, and query performance testing. Ensure ACID compliance and referential integrity for data-driven applications.
Automated video report generation for troubleshooting, using Remotion to render provided video URLs.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.
Perform deep security analysis on codebases using CodeQL for interprocedural data flow, taint tracking, and automated vulnerability detection across multiple languages.
Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.
Infrastructure for cross-product HealthSim data persistence, entity correlation via SSN, and DuckDB database operations.
Orchestrates multi-agent iterative refinement for high-quality OpenClaw skill development, ensuring rigorous testing and lifecycle management.
Discover and configure Redpanda Connect components like inputs, outputs, and processors to build efficient streaming data pipelines.
Normalizes testing defect logs by correcting typos, abbreviations, and ambiguous descriptions based on product-specific codebooks and station validation.
Manage database orchestration sessions, state snapshots, and system-level operations for the BAZINGA-DB core engine.
Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.