Skill UI

Automatically detects and loads specialized agent instructions from the `AGENTS.md` file in the current working directory. This skill seamlessly integrates project-specific rules and behavioral guidelines into the AI's session context, ensuring the AI operates according to project standards without manual intervention. It is crucial for maintaining specialized agent behaviors across different development tasks and directory changes.

Creates production-ready GitOps workflows for ArgoCD or Flux, producing manifests, repository layout guidance, and deployment instructions tailored to the user’s infrastructure so Kubernetes clusters stay in sync with Git.

Provides instructions for automating Buildkite tasks via Rube MCP and the Composio toolkit, emphasizing tool discovery, connection checks, schema compliance, and orchestrating workflows through the RUBE_ API surface.

This guide provides comprehensive instructions for deploying applications that interact with Clay—such as webhook receivers, enrichment processors, or CRM sync services—to major production infrastructure platforms (Vercel, Google Cloud Run, or Docker). It covers environment configuration, secret management, and setting up secure HTTPS endpoints for robust production deployment.

Automates code of conduct documentation by guiding through generator patterns, setup instructions, and validation checks tailored for technical documentation workflows.

This guide provides a step-by-step walkthrough for setting up automated AI code reviews using CodeRabbit. It covers creating the necessary `.coderabbit.yaml` configuration file, defining path-specific instructions, triggering reviews via Pull Requests (PRs), and interacting with the feedback using PR comments or the local CLI. Essential for integrating quality gates into CI/CD workflows.

This guide provides a comprehensive method for optimizing CodeRabbit's review process, focusing on improving speed, relevance, and the signal-to-noise ratio. Learn best practices for managing PR size, selecting the right review profile (e.g., 'assertive' vs. 'chill'), using path instructions to guide feedback, and filtering out low-value files. Ideal for teams looking to reduce review fatigue and ensure consistent code quality checks.

This comprehensive template provides a production-grade reference architecture for CodeRabbit AI code reviews. It is designed to guide teams in establishing rigorous coding standards by defining specific, best-practice instructions for various layers (API, Database, Authentication, Frontend, CI/CD, Infrastructure). Use this as a robust starting point to build a comprehensive, automated, and secure code quality review process.

Connect Claude to Gmail, Slack, GitHub, Notion and 1000+ services so it can send emails, create issues, post messages, and update databases instead of just drafting instructions.

Connect Claude to 1000+ services via the Composio Tool Router so you can actually send emails, file issues, post messages, or update docs and data directly from chat instead of just generating instructions.

Provides comprehensive instructions for deploying Deepgram transcription services into various production environments. This guide covers building production-ready Docker images, configuring Docker Compose, setting up robust Kubernetes manifests (including HPA and secrets), and implementing serverless handlers for platforms like AWS Lambda. Essential for scaling Deepgram services reliably and securely in the cloud.

Automate deploying production-ready monitoring stacks like Prometheus, Grafana, and Datadog, delivering configuration files, deployment scripts, and guided instructions for infrastructure-focused observability setups.