Explore our collection of Agent Skills to enhance your AI workflow.
Implements production-ready SDK patterns and best practices for Instantly.ai integrations in TypeScript and Python.
Streamlines the process of exporting, optimizing, and deploying TensorFlow models using the industry-standard SavedModel format.
Streamlines the creation, training, and optimization of TensorFlow machine learning models with production-grade code and automated best practices.
Generates comprehensive, redacted diagnostic bundles for troubleshooting Fireflies.ai SDK and API integration issues.
Automates production-readiness checks and safe deployment procedures for Instantly.ai integrations.
Implements robust PII detection and data redaction controls for OpenRouter API integrations to ensure regulatory compliance.
Executes complex migration strategies and major re-architectures for Instantly integrations using the Strangler Fig pattern.
Implements a production-ready, multi-layered architecture for Perplexity AI integrations using TypeScript and industry best practices.
Generates and optimizes production-ready Docker Compose configurations for multi-container application environments.
Implements PII handling, data retention, and GDPR/CCPA compliance patterns for Perplexity AI integrations.
Implement comprehensive monitoring, metrics, and distributed tracing for Exa API integrations.
Automates security benchmarking, penetration testing workflows, and compliance audits to strengthen enterprise security posture.
Streamlines the development of modular Fastify plugins with production-ready boilerplate and industry-standard patterns.
Calculates and optimizes system throughput metrics for performance testing scenarios to ensure application scalability.
Optimizes CodeRabbit API integrations through advanced caching strategies, request batching, and connection pooling.
Implements robust rate limiting, exponential backoff, and idempotency patterns for Groq API integrations.
Configures and manages isolated development, staging, and production environments for Replit projects.
Generates a minimal working Exa API integration to verify credentials and establish basic search connectivity.
Automates the transformation, scaling, and selection of data features to optimize machine learning model performance and accuracy.
Collects and packages diagnostic information, redacted logs, and environment metadata for CodeRabbit support troubleshooting.
Audits cryptocurrency wallet security by analyzing token approvals, permissions, and transaction patterns to identify risk exposure.
Automates the configuration and deployment of high-performance Amazon CloudFront distributions using industry best practices.
Automates the deployment of Lindy AI agents and integrations across production and staging environments.
Simplifies the administration of organization-wide Windsurf configurations and AI governance policies.
Implement comprehensive monitoring, logging, and observability for Clerk authentication systems.
Analyzes and optimizes application latency through automated performance testing patterns and benchmarking workflows.
Generates a minimal, functional Clay integration to verify API credentials and bootstrap development.
Standardizes and automates production deployment procedures for Exa integrations using validated checklists and rollback strategies.
Automates the generation and maintenance of comprehensive API reference documentation using industry-standard patterns.
Validates cryptocurrency and traditional trading strategies against historical data to calculate risk-adjusted performance metrics.
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