
Docker Volumes
Configure and validate Docker volume settings for container plugins with environment-specific strictness and integration hooks.
Overview
Docker Volumes is an agent skill for the Operate phase that standardizes Docker volume plugin configuration, validation modes, and integration defaults via schema-driven settings.
Install
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-docker --skill docker-volumesWhat is this skill?
- Versioned docker-volumes skill config (1.0.0) under containers category
- Environment overrides: development debug vs production warn with strict validation
- JSON Schema for skill metadata including category enum spanning api through containers
- Integration toggles for git, linter, and formatter
- Markdown output format with optional examples via settings.output
- Skill version 1.0.0 with semver pattern in JSON Schema
- 11 category enum values in configuration schema including containers and devops
Adoption & trust: 1 installs on skills.sh; 2 GitHub stars; 3/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
What problem does it solve?
Your agent keeps guessing Docker volume and validation settings differently across dev and production containers.
Who is it for?
Builders using marketplace Docker plugins who want schema-backed, environment-aware volume configuration in agent sessions.
Skip if: Anyone needing a full Docker tutorial with no plugin context, or pure local scripts with zero container orchestration.
When should I use this skill?
Configuring Docker volume behavior, container persistence, or marketplace docker-volumes plugin settings for an agent
What do I get? / Deliverables
You apply a single versioned config profile with environment overrides and documented output format for volume-related container work.
- docker-volumes YAML configuration with environment blocks
- JSON Schema–validated skill metadata for containers category
Recommended Skills
Journey fit
Operate is the primary shelf because persistent volume strategy, validation strictness, and logging belong to running containerized workloads in prod and dev. Infra covers bind mounts, named volumes, and plugin defaults that affect data durability and deploy topology.
How it compares
Structured plugin config skill—not a replacement for official Docker CLI reference or a full Compose generator.
Common Questions / FAQ
Who is docker-volumes for?
Solo builders and small teams wiring custom Docker marketplace plugins who need consistent volume-related defaults for coding agents.
When should I use docker-volumes?
In Operate when tuning infra for persisted container data, and in Ship launch prep when aligning strict validation before production deploys.
Is docker-volumes safe to install?
Check the Security Audits panel on this Prism page; the skill enables filesystem and git integrations in config—scope agent permissions to your repo only.
SKILL.md
READMESKILL.md - Docker Volumes
# docker-volumes Configuration # Category: containers # Generated: 2025-12-30 skill: name: docker-volumes version: "1.0.0" category: containers settings: # Default settings for docker-volumes enabled: true log_level: info # Category-specific defaults validation: strict_mode: false auto_fix: false output: format: markdown include_examples: true # Environment-specific overrides environments: development: log_level: debug validation: strict_mode: false production: log_level: warn validation: strict_mode: true # Integration settings integrations: # Enable/disable integrations git: true linter: true formatter: true { "$schema": "http://json-schema.org/draft-07/schema#", "title": "docker-volumes Configuration Schema", "type": "object", "properties": { "skill": { "type": "object", "properties": { "name": { "type": "string" }, "version": { "type": "string", "pattern": "^\\d+\\.\\d+\\.\\d+$" }, "category": { "type": "string", "enum": [ "api", "testing", "devops", "security", "database", "frontend", "algorithms", "machine-learning", "cloud", "containers", "general" ] } }, "required": [ "name", "version" ] }, "settings": { "type": "object", "properties": { "enabled": { "type": "boolean", "default": true }, "log_level": { "type": "string", "enum": [ "debug", "info", "warn", "error" ] } } } }, "required": [ "skill" ] } # Docker Volume Configuration Reference volume_types: named_volume: description: Docker-managed volume command: "docker volume create myvolume" usage: "-v myvolume:/data" bind_mount: description: Host directory mount command: "docker run -v /host/path:/container/path" usage: Good for development tmpfs: description: In-memory filesystem command: "docker run --tmpfs /tmp" usage: Temporary data, secrets backup_script: | docker run --rm \ -v myvolume:/data \ -v $(pwd):/backup \ alpine tar cvf /backup/backup.tar /data # Docker Volumes Guide ## Overview This guide provides comprehensive documentation for the **docker-volumes** skill in the custom-plugin-docker plugin. ## Category: Containers ## Quick Start ### Prerequisites - Familiarity with containers concepts - Development environment set up - Plugin installed and configured ### Basic Usage ```bash # Invoke the skill claude "docker-volumes - [your task description]" # Example claude "docker-volumes - analyze the current implementation" ``` ## Core Concepts ### Key Principles 1. **Consistency** - Follow established patterns 2. **Clarity** - Write readable, maintainable code 3. **Quality** - Validate before deployment ### Best Practices - Always validate input data - Handle edge cases explicitly - Document your decisions - Write tests for critical paths ## Common Tasks ### Task 1: Basic Implementation ```python # Example implementation pattern def implement_docker_volumes(input_data): """ Implement docker-volumes functionality. Args: input_data: Input to process Returns: Processed result """ # Validate input if not input_data: raise ValueError("Input required") # Process result = process(input_data) # Return return result ``` ### Task 2: Advanced Usage For advanced scenarios, consider: - Configuration customization via `assets/config.yaml` - Validation using `scripts/validate.py` - Integration with other skills ## Troubleshooting ### Common Issues | Issue | Cause | Solution | |-------|