Explore our collection of Agent Skills to enhance your AI workflow.
Diagnoses and resolves common Supabase errors, exceptions, and integration issues using automated log analysis and documented fixes.
Automates the creation and management of Google Cloud Platform firewall rules using best practices and gcloud commands.
Automates the setup of robust CI/CD pipelines for LangChain applications including testing, linting, and deployment.
Implements automated linting, security policies, and architectural guardrails for Perplexity AI integrations.
Monitors OpenRouter model health and implements automated fallback chains to ensure high availability for AI-driven applications.
Guides the seamless transition of meeting notes and transcripts from legacy tools like Otter.ai, Fireflies, and Fathom into Granola.
Optimizes PostHog API integration performance using advanced caching, request batching, and connection pooling techniques.
Optimizes Perplexity API integrations through advanced caching, request batching, and connection pooling strategies.
Generates realistic API mocks and mock servers based on REST, GraphQL, or OpenAPI specifications to accelerate frontend development and testing.
Diagnoses and resolves common Perplexity API errors and integration issues within the Claude Code environment.
Automates the deployment of Perplexity-powered applications to Vercel, Fly.io, and Google Cloud Run with secure secrets management.
Automates the process of upgrading Groq SDK versions by detecting breaking changes and refactoring code for API compatibility.
Guides the creation of impactful, professional data visualizations and dashboards using industry-standard design principles.
Simplifies the creation of production-ready Amazon ECS task definitions with optimized configurations for containers and resource management.
Configures and manages real-time event processing for Linear through secure webhooks and automated handlers.
Configures and optimizes Amazon SQS queues using AWS best practices for reliable messaging and event-driven architectures.
Automates the creation and configuration of AWS Security Groups using industry best practices for secure cloud networking.
Implements secure data classification, PII redaction, and compliance workflows for Lindy AI integrations.
Streamlines the production readiness process for Lindy AI deployments through comprehensive security, performance, and monitoring audits.
Automates task workflows and schedules Lindy AI agents using cron jobs, webhooks, and email triggers.
Configures automated CI/CD pipelines and integration testing for Lindy AI agents using GitHub Actions.
Automates the configuration of CI/CD pipelines for Clay integrations using GitHub Actions and standardized testing suites.
Provides comprehensive strategies and code patterns for migrating legacy LLM applications to the LangChain framework.
Configures and optimizes Windsurf’s Supercomplete AI to provide context-aware, multi-line code suggestions.
Simplifies the setup and configuration of Vast.ai SDKs and API authentication for GPU cloud management.
Implements industry-standard security protocols and access controls for FireCrawl API integrations.
Executes secondary FireCrawl workflows to complement primary data collection and automated web scraping tasks.
Configures comprehensive audit logging and compliance tracking for Windsurf Enterprise deployments.
Generates minimal, production-ready LangChain boilerplate for Python and TypeScript to jumpstart AI-powered application development.
Builds autonomous LangChain agents capable of tool calling and multi-step decision-making workflows.
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