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aws

Skill0 starsChanged 5 months agoNo licenceView on GitHub

Running a small production web app on AWS for the least money without losing stability, proven on a Django, Celery, Next.js and MQTT stack on ECS on EC2. Covers right-sizing (Graviton hosts, bridge mode for workers, single-AZ RDS, fck-nat instead of a NAT gateway, Cloud Map instead of an internal load balancer, Postgres instead of a search cluster), how deploys must work on packed hosts (in-place rollouts, binpack, one service at a time), moving and retiring ECS hosts, and a long list of non-obvious traps (ENI limits, capacity provider scale-in, AZ rebalancing, run-task placement, drain delays, Elastic IP boot races, client IPs behind a load balancer, credits that post late). Use when designing, cutting the cost of, reviewing, deploying to or operating AWS infrastructure of this kind.

17 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use azure, gcloud and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ffsshhttiikkSkill

    azure

    Microsoft Azure cloud services and best practices

    Also in 4 projects that use this

  • GoogleSkill

    gcloud

    Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructing, proposing, describing, or executing any gcloud CLI commands - including when answering questions about gcloud syntax, or formatting flags. Don't use when writing Google Cloud client library code or raw REST/gRPC API requests.

    Also in 4 projects that use this

  • hoodiniSkill

    mongodb

    Work with MongoDB databases using best practices. Use when designing schemas, writing queries, building aggregation pipelines, or optimizing performance. Triggers on MongoDB, Mongoose, NoSQL, aggregation pipeline, document database, MongoDB Atlas.

    Also in 3 projects that use this

  • Sorcha-PlatformSkill

    redis

    Implements Redis caching, session management, and distributed coordination for the Sorcha platform. Use when: Adding caching layers, token revocation, rate limiting, SignalR backplane, or distributed state.

    Also in 3 projects that use this

  • mjunaidcaSkill

    kubernetes

    Production-grade Kubernetes manifests and debugging for containerized applications. This skill should be used when users ask to deploy to Kubernetes, create K8s manifests, containerize for K8s, set up Deployments/Services/Jobs/StatefulSets/CronJobs, create namespaces with resource quotas, set up multi-team isolation, configure ResourceQuota/ LimitRange, secure with RBAC (ServiceAccount, Role, RoleBinding), configure init containers (model download, db wait, migrations), set up sidecars (logging, metrics), or debug pods (CrashLoopBackOff, logs, exec, describe, events). Auto-detects from Dockerfile/code, generates hardened manifests with educational comments. CKAD-aligned.

    Also in 4 projects that use this

  • wrsmith108Skill

    docker

    Container-based development for isolated, reproducible environments. Use when running npm commands, installing packages, executing code, or managing project dependencies. Trigger phrases include "npm install", "run the build", "start the server", "install package", or any code execution request.

    Also in 4 projects that use this

The file

We split this skill into the rules it gives an agent

12 rules. 0 are common, 11 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 16 edited versions we read keep these.

  • 11

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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