ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
migrating-bitnami-to-bitnami-legacy
This rule book helps you migrate Bitnami Helm charts and container images from the bitnami repository to the bitnamilegacy repository.
This migration is necessary due to Bitnami's transition, effective August 28th, 2025, where existing images will be moved to the legacy repo
stakpak/community-paks 3
-
cloudflare-tunnel-ec2-deployment
Deploy containerized applications to AWS EC2 and expose them publicly via Cloudflare Tunnel with automatic HTTPS. Eliminates need for load balancers, SSL certificates, or public inbound ports.
stakpak/community-paks 3
-
aws-sso-auth-guide
AWS SSO discovery, configuration, and terminal usage
stakpak/community-paks 3
-
infrastructure-software-upgrades
Generic guidelines on how to perform infrastructure component upgrades in a reliable way
stakpak/community-paks 3
-
coolify-deployment
Deploy Coolify self-hosted PaaS for application hosting. Covers VM provisioning, installation, GitHub integration, and application deployment with auto-SSL.
stakpak/community-paks 3
-
confighub-usage-guide
A comprehensive guide for using ConfigHub to manage Kubernetes configuration across multiple environments using Configuration as Data principles. This rulebook covers installation, configuration management, variant handling, and operational workflows.
stakpak/community-paks 3
-
aws-architecture-design
Purpose: Standardize how stakpak designs and optimizes AWS architectures.
Scope:
Greenfield: design new infrastructure.
Brownfield: analyze existing architectures and propose improvements.
stakpak/community-paks 3
-
infrastructure-cost-estimation
Help you discover how much you spend on AWS/GCP/Azure. This rulebook guides practitioners through proper cloud cost calculations, systematic resource discovery (via IaC analysis and live environment enumeration), authoritative pricing research and analysis/estimation.
stakpak/community-paks 3
-
documentation-rulebook
Standard deployment procedures for production
stakpak/community-paks 3
-
k3s-backup
Backup and recovery solution for K3s clusters. Includes scheduled, pre-shutdown, and manual backup strategies with recovery procedures.
stakpak/community-paks 3
-
ha-load-balancing
Configure high-availability load balancing with HAProxy and NGINX reverse proxies. Covers health checks, automatic failover, sticky sessions, and stats monitoring for containerized backends.
stakpak/community-paks 3
-
nextjs-on-aws
This document compares various AWS deployment options for Next.js applications, analyzing costs, benefits, limitations, and providing recommendations based on different use cases.
stakpak/community-paks 3
-
how-to-write-rulebooks
A practical, step-by-step guide that standardizes how to author, structure and publish rulebooks in Stakpak. It covers metadata creation, goal articulation, workflow design, reference inclusion and best-practice guidelines.
stakpak/community-paks 3
-
twelve-factor-app-modernization
Systematic process for analyzing and modernizing legacy applications to comply with the 12-Factor App methodology. Covers code analysis, configuration externalization, dependency management, and container/Kubernetes best practices.
stakpak/community-paks 3
-
cloudflare-workers
Deploy serverless applications on Cloudflare Workers. Covers project setup, JavaScript handler patterns, routing, deployment with Wrangler, and API token configuration. Suitable for APIs, proxies, edge computing, and request transformation.
stakpak/community-paks 3
-
terrateam-usage-guide
A comprehensive guide for configuring and using Terrateam, an open-source GitOps CI/CD platform for Terraform and OpenTofu. Covers configuration file structure, access control, workflows, OIDC authentication, drift detection, and best practices for managing infrastructure through pull requests.
stakpak/community-paks 3
-
Convex Agents Streaming
Streams agent responses in real-time to clients without blocking. Use this for responsive UIs, long-running generations, and asynchronous streaming to multiple clients.
Sstobo/convex-skills 23
-
Convex Agents Files
Handles file uploads, image attachments, and media processing in agent conversations. Use this when agents analyze images, process documents, or generate files.
Sstobo/convex-skills 23
-
convex-actions-general
This skill should be used when working with Convex actions, HTTP endpoints, validators, schemas, environment variables, scheduling, file storage, and TypeScript patterns. It provides comprehensive guidelines for function definitions, API design, database limits, and advanced Convex features.
Sstobo/convex-skills 23
-
betterauth-tanstack-convex
Step-by-step guide for setting up Better Auth authentication with Convex and TanStack Start. This skill should be used when configuring authentication in a Convex + TanStack Start project, troubleshooting auth issues, or implementing sign up/sign in/sign out flows. Covers installation, environment variables, SSR authentication, route handlers, and the expectAuth pattern.
Sstobo/convex-skills 23
-
Convex Agents Tools
Enables agents to call external functions, APIs, and database operations through tool definitions. Use this when agents need to fetch data, perform actions, or integrate with external services while maintaining clean separation.
Sstobo/convex-skills 23
-
convex-queries
This skill should be used when implementing Convex query functions. It provides comprehensive guidelines for defining, registering, calling, and optimizing queries, including pagination, full text search, and indexing patterns.
Sstobo/convex-skills 23
-
Convex Agents Debugging
Troubleshoots agent behavior, logs LLM interactions, and inspects database state. Use this when responses are unexpected, to understand context the LLM receives, or to diagnose data issues.
Sstobo/convex-skills 23
-
Convex Agents Fundamentals
Sets up and configures Convex agents for chat-based AI interactions. Use this when initializing agent instances, creating conversation threads, and generating basic text or structured responses from LLMs. Essential foundation for any Convex agent implementation.
Sstobo/convex-skills 23