docker/skills

A collection of Docker skills for AI coding agents to help them build, test, debug, and optimize containerized apps with consistent, reusable workflows.

Owned by Docker

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docker/skills has 550+ stars and 30+ forks on GitHub, is written in Python, and was last pushed on Oct 16, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 13 minutes ago
Added to GitGenius on October 12th, 2026
Created on March 27th, 2026
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Enabled
Number of forks: 34
Total Stargazers: 577 (+0)
Total Subscribers: 0 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.3 days
Mean response time: 5.7 days
90th percentile: 22.8 days
Tracked items: 6

Maintainer activity

2 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 8 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (4)
  • bug (1)

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Detailed Description

Docker Skills is a collection of reusable knowledge modules for AI coding agents that help them work with Docker and containerized applications.

The project addresses the problem of inconsistent or incomplete Docker knowledge in AI coding agents by providing standardized skill definitions that agents can discover and use automatically. Skills are authored once as portable directories containing markdown documentation and are made available to any compliant agent through standard skill paths. This approach allows multiple AI agents—including Claude, Copilot, Cursor, and others—to access the same Docker expertise without duplication, improving the quality and consistency of agent-generated code for building, testing, debugging, and optimizing containerized applications.

Teams adopting this project should understand that it targets developers who use AI coding assistants for Docker-related work. It suits projects where multiple team members rely on different AI agents and need those agents to produce consistent, Docker-informed suggestions. The skills are organized by Docker product area, making it straightforward to find relevant knowledge for specific use cases. The project is authored by Docker and documented through the official Docker documentation site, positioning it as the authoritative source for Docker-specific agent guidance.

The project maintains an active catalog system where skills are defined in a central configuration file that generates documentation automatically, ensuring the skill inventory stays synchronized with the actual available knowledge. Development activity shows ongoing refinement of the skill definitions and their organization across Docker product categories. The project integrates with multiple AI agent platforms, indicating sustained effort to maintain compatibility as those platforms evolve.