Check Docker Production Readiness

Community

dykyi-roman

check-docker-production-readiness

Checks Docker production readiness for PHP applications. Verifies health checks, graceful shutdown, logging, monitoring, and resource limits.

Overview

Publisher	dykyi-roman
Repository	`awesome-claude-code`
Skill name	`check-docker-production-readiness`
Stars	98
Forks	25
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by dykyi-roman on GitHub. Read the source before you install it.

Installation

Install the Check Docker Production Readiness AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/dykyi-roman/awesome-claude-code/tree/master/skills/check-docker-production-readiness

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/dykyi-roman/awesome-claude-code.git /tmp/awesome-claude-code
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-code/skills/check-docker-production-readiness .claude/skills/check-docker-production-readiness

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Check Docker Production Readiness in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Check Docker Production Readiness on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Check Docker Production Readiness is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Docker Production Readiness Checker

Evaluate Docker configuration for production deployment of PHP applications using a scored checklist.

Production Readiness Checklist

1. HEALTHCHECK Instruction (10 pts)

dockerfile
HEALTHCHECK --interval=10s --timeout=3s --start-period=10s --retries=3 \
    CMD php-fpm-healthcheck || exit 1

2. STOPSIGNAL for Graceful Shutdown (10 pts)

dockerfile
# PHP-FPM needs SIGQUIT for graceful stop
STOPSIGNAL SIGQUIT

3. Logging to stdout/stderr (10 pts)

dockerfile
# BAD: Logging to files
RUN echo "error_log = /var/log/php/error.log" >> php.ini

# GOOD: Logging to stderr for Docker log driver
RUN echo "error_log = /proc/self/fd/2" >> php.ini

4. OPcache with validate_timestamps=0 (10 pts)

dockerfile
RUN echo "opcache.validate_timestamps=0" >> /usr/local/etc/php/conf.d/opcache.ini && \
    echo "opcache.enable=1" >> /usr/local/etc/php/conf.d/opcache.ini && \
    echo "opcache.memory_consumption=256" >> /usr/local/etc/php/conf.d/opcache.ini

5. PHP-FPM Dynamic pm Mode (10 pts)

ini
pm = dynamic
pm.max_children = 50
pm.start_servers = 10
pm.min_spare_servers = 5
pm.max_spare_servers = 20
pm.max_requests = 1000

6. Non-Root User (10 pts)

dockerfile
RUN groupadd -r appuser && useradd -r -g appuser appuser
COPY --chown=appuser:appuser . /var/www/html
USER appuser

7. Resource Limits in Compose (10 pts)

yaml
services:
  php-fpm:
    deploy:
      resources:
        limits:
          cpus: "2.0"
          memory: 1G

8. Restart Policy (5 pts)

yaml
services:
  app:
    restart: unless-stopped

9. .dockerignore Present (5 pts)


.git
.env
node_modules
vendor
tests
docs

10. No Dev Dependencies (10 pts)

dockerfile
RUN composer install --no-dev --optimize-autoloader --classmap-authoritative

11. Signal Handling Entrypoint (10 pts)

dockerfile
COPY docker-entrypoint.sh /usr/local/bin/
ENTRYPOINT ["docker-entrypoint.sh"]
CMD ["php-fpm"]

Grep Patterns

bash
Grep: "HEALTHCHECK" --glob "**/Dockerfile*"
Grep: "STOPSIGNAL" --glob "**/Dockerfile*"
Grep: "error_log.*=.*/var/log" --glob "**/Dockerfile*"
Grep: "validate_timestamps" --glob "**/Dockerfile*"
Grep: "^USER" --glob "**/Dockerfile*"
Grep: "composer install" --glob "**/Dockerfile*"
Grep: "^(CMD|ENTRYPOINT)" --glob "**/Dockerfile*"
Glob: "**/.dockerignore"

Score Calculation

Check	Points	Weight
HEALTHCHECK present	10	Required
STOPSIGNAL SIGQUIT	10	Required
Logging to stdout/stderr	10	Required
OPcache validate_timestamps=0	10	Required
PHP-FPM dynamic pm	10	Recommended
Non-root USER	10	Required
Resource limits	10	Recommended
Restart policy	5	Recommended
.dockerignore present	5	Recommended
No dev dependencies	10	Required
Signal handling entrypoint	10	Recommended
Total	100

Rating: 90-100 Production Ready | 70-89 Needs Improvement | Below 70 Not Ready

Output Format

markdown
## Production Readiness Report

**Score:** X/100 — [Production Ready / Needs Improvement / Not Ready]

| # | Check | Status | Points |
|---|-------|--------|--------|
| 1 | HEALTHCHECK | Pass/Fail | 10/0 |

### Findings

#### [Check Name] — FAIL
**File:** `Dockerfile:line`
**Issue:** [What is missing]
**Fix:** [How to fix it]

### Recommendations
- [Prioritized list of improvements]

Frequently asked questions

What does the Check Docker Production Readiness AI skill do?

Checks Docker production readiness for PHP applications. Verifies health checks, graceful shutdown, logging, monitoring, and resource limits.

Why use Check Docker Production Readiness on TypingMind?

Because you install it once and use it with any model. Check Docker Production Readiness is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Check Docker Production Readiness in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dykyi-roman/awesome-claude-code/tree/master/skills/check-docker-production-readiness. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Check Docker Production Readiness?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Check Docker Production Readiness?

As many as you like. As long as a model supports skills, you can use Check Docker Production Readiness with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Check Docker Production Readiness AI skill free?

Yes. It is published on GitHub by dykyi-roman under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Docker Production Readiness Checker

Production Readiness Checklist

1. HEALTHCHECK Instruction (10 pts)

2. STOPSIGNAL for Graceful Shutdown (10 pts)

3. Logging to stdout/stderr (10 pts)

4. OPcache with validate_timestamps=0 (10 pts)

5. PHP-FPM Dynamic pm Mode (10 pts)

6. Non-Root User (10 pts)

7. Resource Limits in Compose (10 pts)

8. Restart Policy (5 pts)

9. .dockerignore Present (5 pts)

10. No Dev Dependencies (10 pts)

11. Signal Handling Entrypoint (10 pts)

Grep Patterns

Score Calculation

Output Format

Frequently asked questions

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