agentleFS
Jam0731Jam0731/ParallaxAI/skills/docker/SKILL.md

Docker

Skill2 starsChanged 5 months agoMITView on GitHub

Docker containers, images, Compose stacks, networking, volumes, debugging, production hardening, and the commands that keep real environments stable. Use when (1) the task touches Docker, Dockerfiles, images, containers, or Compose; (2) build reliability, runtime behavior, logs, ports, volumes, or security matter; (3) the agent needs Docker guidance and should apply it by default.

  • Reads credentials
  • Installs packages

55 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use ml-training-recipe, replication 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.
  • getcompanion-aiSkill

    ml-training-recipe

    Find implementable ML training recipes from papers, datasets, docs, and code. Use when the user wants to fine-tune, train, reproduce, or choose a practical ML method, dataset, hyperparameter setup, or benchmark recipe.

    Also in 3 projects that use this

  • getcompanion-aiSkill

    replication

    Plan a replication of a paper, claim, or benchmark, and execute only after an explicit environment choice. Use when the user asks to replicate results, reproduce an experiment, verify a claim empirically, or build a replication package.

    Also in 3 projects that use this

  • Sorcha-PlatformSkill

    scalar

    Generates and configures Scalar OpenAPI UI for API documentation. Use when: Adding API documentation to services, configuring OpenAPI endpoints, customizing documentation themes

    Also in 3 projects that use this

  • brainbytes-devSkill

    alpha-research

    Also in 3 projects that use this

  • JaimeParkerSkill

    paper-code-audit

    Perform three-way cross-validation of a research paper by comparing the original paper text (via Zotero), official code implementation (via Git), and personal Obsidian notes. Use this skill whenever the user wants to "audit a paper", "verify paper claims against code", "cross-check notes with implementation", "triangulate paper + code + notes", "find discrepancies between paper and code", or mentions wanting a deep, structured comparison of a paper's claims against its implementation and their own notes. Also trigger when the user asks to "analyze this paper thoroughly" with code available, or when they want to systematically reconcile what the paper says, what the code does, and what their notes claim.

    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 5 projects that use this

  • +1 more from getcompanion-ai

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 47 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use when the task involves Docker, Dockerfiles, container builds, Compose, image publishing, networking, volumes, logs, debugging, or …

    line 13
  2. Very specific:

    Add USER nonroot in Dockerfile

    line 36
  3. Distinctive:

    Default json-file driver has no size limit

    line 44
  4. Very specific:

    No shell in distroless images — docker cp files out or use debug sidecar

    line 59

“Common” is measured: kept by at least 6 in 10 of the 47 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

When to Use

Use when the task involves Docker, Dockerfiles, container builds, Compose, image publishing, networking, volumes, logs, debugging, or production container operations. This skill is stateless and should be applied directly whenever Docker work appears.

Quick Reference

TopicFile
Essential commandscommands.md
Dockerfile patternsimages.md
Compose orchestrationcompose.md
Networking & volumesinfrastructure.md
Security hardeningsecurity.md

Core Rules

1. Pin Image Versions

  • python:3.11.5-slim not python:latest
  • Today's latest differs from tomorrow's — breaks immutable builds

2. Combine RUN Commands

  • apt-get update && apt-get install -y pkg in ONE layer
  • Separate layers = stale package cache weeks later

3. Non-Root by Default

  • Add USER nonroot in Dockerfile
  • Running as root fails security scans and platform policies

4. Set Resource Limits

  • -m 512m on every container
  • OOM killer strikes without warning otherwise

5. Configure Log Rotation

  • Default json-file driver has no size limit
  • One chatty container fills disk and crashes host

Image Traps

  • Multi-stage builds: forgotten --from=builder copies from wrong stage silently
  • COPY before RUN invalidates cache on every file change — copy requirements first, install, then copy code
  • ADD extracts archives automatically — use COPY unless you need extraction
  • Build args visible in image history — never use for secrets

Runtime Traps

  • localhost inside container is container's localhost — bind to 0.0.0.0
  • Port already in use: previous container still stopping — wait or force remove
  • Exit code 137 = OOM killed, 139 = segfault — check with docker inspect --format='{{.State.ExitCode}}'
  • No shell in distroless images — docker cp files out or use debug sidecar

Networking Traps

  • Container DNS only works on custom networks — default bridge can't resolve names
  • Published ports bind to 0.0.0.0 — use 127.0.0.1:5432:5432 for local-only
  • Zombie connections from killed containers — set health checks and restart policies

Compose Traps

  • depends_on waits for container start, not service ready — use condition: service_healthy
  • .env file in wrong directory silently ignored — must be next to docker-compose.yml
  • Volume mounts overwrite container files — empty host dir = empty container dir
  • YAML anchors don't work across files — use multiple compose files instead

Volume Traps

  • Anonymous volumes accumulate silently — use named volumes
  • Bind mounts have permission issues — container user must match host user
  • docker system prune doesn't remove named volumes — add --volumes flag
  • Stopped container data persists until container removed

Resource Leaks

  • Dangling images grow unbounded — docker image prune regularly
  • Build cache grows forever — docker builder prune reclaims space
  • Stopped containers consume disk — docker container prune or --rm on run
  • Networks pile up from compose projects — docker network prune

Secrets and Security

  • ENV and COPY bake secrets into layer history permanently — use secrets mount or runtime env
  • --privileged disables all security — almost never needed, find specific capability instead
  • Images from unknown registries may be malicious — verify sources
  • Build args visible in image history — don't use for secrets

Debugging

  • Exit code 137 = OOM killed, 139 = segfault — check docker inspect --format='{{.State.ExitCode}}'
  • Container won't start: check logs even for failed containers — docker logs <container>
  • No shell in distroless images — docker cp files out or use debug sidecar
  • Inspect filesystem of dead container — docker cp deadcontainer:/path ./local

Related Skills

Install with clawhub install <slug> if user confirms:

  • devops — deployment pipelines
  • linux — host system management
  • server — server administration

Feedback

  • If useful: clawhub star docker
  • Stay updated: clawhub sync

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.