agent-ops-docker-review
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues, and anti-patterns.
Browse published AI skills maintained by weholt. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
110Repository stars across indexed skills
32Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues, and anti-patterns.
Language-aware build orchestration that detects project language and runs appropriate build pipeline
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contract alignment, endpoint behavior, and test coverage.
Create .agent/baseline.md and later compare against it. Use when capturing baseline build/lint/test results or investigating newly introduced findings.
Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.
Create focused, specific technical documentation for codebase sections. Analyzes code, identifies topics, presents options before writing. Supports code blocks with line numbers.
Dogfooding discovery agent — establish human-approved project baseline from public docs without code inspection
Expert code review guidelines for quality, security, and maintainability
Systematic debugging approaches for isolating and fixing software defects
Skill for selecting the next issue to work on based on priority, blocked status, and session context
Skill for atomic commits, branch management, and clean git history
Skill for creating well-formed issues from discoveries during implementation or validation
Test-driven development workflow for writing reliable, maintainable code
Skill for validating code changes against the established baseline
Expert code review guidelines for quality, security, and maintainability
Skill for managing file-based issue tracking - housekeeping, moving, scanning
Systematic debugging approaches for isolating and fixing software defects
Test-driven development workflow for writing reliable, maintainable code
Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value for the current project.
"One-sentence summary"
Documentation management for README, CHANGELOG, API docs, and user-facing documentation. Use when creating or updating project documentation.
Generate narrative summaries from git history for onboarding, retrospectives, changelogs, and exploration. LLM-enhanced when available, works without LLM too.
Interactive workflow guide. Use when user is unsure what to do next, needs help navigating AgentOps, or wants to understand available tools.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.