Explore our collection of Agent Skills to enhance your AI workflow.
Provides validated architectural blueprints for scaling FireCrawl integrations from MVPs to enterprise-grade microservices.
Bootstraps a minimal, functional Groq API integration to verify environment setup and connectivity.
Automates Exa search integration testing and deployment workflows using GitHub Actions.
Optimizes Clay platform expenses through intelligent tier selection, usage tracking, and efficient data processing strategies.
Deploys Instantly-powered applications to Vercel, Fly.io, and Google Cloud Run with automated secret management and production-ready configurations.
Implements production-grade Exa SDK patterns for TypeScript and Python to ensure robust, type-safe API integrations.
Automates PII detection, data redaction, and regulatory compliance for Clay data integrations.
Optimizes authentication costs and provides strategies for managing Clerk's pricing model efficiently.
Implements industry-standard security protocols for Exa API integrations, including secret management and access control.
Configures comprehensive monitoring, tracing, and alerting for Clay integrations to ensure system reliability and performance.
Implements robust rate limiting, exponential backoff, and idempotency patterns for the Exa AI search API.
Automates the setup and management of Exa search API configurations across development, staging, and production environments.
Bootstraps minimal Lindy AI agent integrations to verify API connectivity and learn core SDK patterns.
Verifies Clerk authentication setup by creating protected pages and API routes to ensure successful integration.
Optimizes Exa search API expenditures through intelligent tier selection, usage monitoring, and cost-reduction implementation patterns.
Implements production-ready integration patterns for Clay SDK in TypeScript and Python projects.
Diagnoses and resolves common Clay platform errors, authentication issues, and API bottlenecks to ensure seamless data automation workflows.
Implements PII detection, automated data redaction, and GDPR/CCPA compliance patterns for Exa integrations.
Configures enterprise-grade role-based access control and SSO integrations for Exa.
Implements robust PII handling, data redaction, and regulatory compliance patterns for Groq-powered applications.
Optimizes Lindy AI operational expenses through usage analysis, automated budgeting, and intelligent model routing.
Streamlines unit and integration testing for the DART physics engine using C++ best practices and CI validation.
Streamlines the configuration, building, and testing of the Dynamic Animation and Robotics Toolkit using CMake and Pixi.
Streamlines the contribution process for the DART physics engine by enforcing branching standards, PR requirements, and dual-PR bugfix protocols.
Streamlines unit and integration testing for the DART C++ physics engine using GoogleTest and Pixi.
Simplifies loading and parsing of URDF, SDF, MJCF, and SKEL robot models for the DART physics engine.
Simplifies the development and integration of DART physics engine simulations using Python bindings.
Optimizes mobile application visibility and conversion rates on the Apple App Store and Google Play Store through data-driven metadata and keyword strategies.
Generates SEO-optimized marketing content and ensures brand voice consistency through specialized Python tools and content frameworks.
Streamlines Microsoft 365 administration by automating tenant setup, user lifecycle management, and security policy enforcement.
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