Deploy Automation Pack

    1

    Audit and harden Docker, K8s, GitHub Actions, Vercel, and Cloudflare configs with line-level fixes.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Audit this Dockerfile: FROM node:18 WORKDIR /app COPY . . RUN npm install CMD ["node", "index.js"]

    Your agent does

    Stack

    Docker

    Audit

    1. ❌ Multi-stage build — single stage includes build tools.
    2. ❌ USER root — no USER directive found.
    3. ❌ Layer caching — COPY . . busts cache for npm install.

    Fixes

    COPY package*.json ./
    RUN npm install
    COPY . .
    USER node
    

    Open holes

    • No HEALTHCHECK defined.

    What you get

    Reduce Docker image size by implementing multi-stage builds and slim bases.Secure CI/CD pipelines by replacing hardcoded secrets with OIDC roles.Prevent service downtime by adding missing Kubernetes liveness and readiness probes.Optimize Vercel build times by configuring Turbo and ISR revalidation.Validate Cloudflare Worker bindings for D1, R2, and KV namespaces.

    About this skill

    The problem

    Configuration drift and insecure defaults in deployment files often lead to bloated images, slow CI/CD pipelines, and vulnerable production environments. Spotting missing health probes, root user risks, or inefficient layer caching requires manual, error-prone code reviews.

    What it does

    • Analyzes Dockerfiles and docker-compose manifests for multi-stage builds, non-root users, and layer caching efficiency.
    • Audits GitHub Actions workflows to identify missing dependency caching, insecure credential handling, and redundant job execution.
    • Reviews Kubernetes manifests for missing resource limits, liveness/readiness probes, and Pod Security Contexts.
    • Hardens Vercel and Cloudflare configurations by checking runtime selection, environment variable scoping, and binding types.
    • Provides structured, line-level fixes and identifies "open holes" where information is missing from the provided context.

    Frameworks & tools

    Docker, GitHub Actions, Kubernetes, Vercel, and Cloudflare Wrangler.

    Why this beats prompting it yourself

    General-purpose LLMs often give vague advice or miss specific infrastructure edge cases. This skill uses a strict selection matrix and audited ruleset to ensure no deployment best practice, like OIDC authentication or PodDisruptionBudgets, is overlooked.

    Use cases

    • Hardening a Dockerfile to reduce image size and remove root privileges before a production push.
    • Optimizing GitHub Actions workflows to reduce build minutes using concurrency control and caching.
    • Auditing Kubernetes YAML to ensure high availability via health checks and resource requests.
    • Validating Cloudflare wrangler.toml bindings and compatibility dates for Workers.

    Known limitations

    This skill is a static configuration auditor. It cannot execute shell scripts, run docker build, trigger CI pipelines, or access live cloud environments.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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