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openshift AI Skills

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浏览 openshift 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

8

收录技能的仓库 Stars 合计

2,480

仓库 Forks

2,666

平均每个技能的仓库 Stars

310

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

8 个技能

全部技能

GitHub

code-formatting

openshift

MANDATORY: When writing Go tests, you MUST use 'When...it should...' format for ALL test names. When writing any Go code, you MUST remind user to run 'make lint-fix' and 'make verify'. These are non-negotiable...

GitHub

debug-cluster

openshift

Provides systematic debugging approaches for HyperShift hosted-cluster issues. Auto-applies when debugging cluster problems, investigating stuck deletions, or troubleshooting control plane issues.

GitHub

git-commit-format

openshift

Apply HyperShift conventional commit formatting rules. Use when generating commit messages or creating commits.

GitHub

effective-go

openshift

Apply Go best practices, idioms, and conventions from golang.org/doc/effective_go. Use when writing, reviewing, or refactoring Go code to ensure idiomatic, clean, and efficient implementations.

GitHub

pr-review

openshift

Comprehensive PR review for oc (OpenShift CLI). Runs build, tests, and linting, then applies Go style improvements and provides detailed code review feedback.

GitHub

effective-go

openshift

Apply Go best practices, idioms, and conventions from golang.org/doc/effective_go. Use when writing, reviewing, or refactoring Go code to ensure idiomatic, clean, and efficient implementations.

GitHub

openshift-expert

openshift

OpenShift platform and Kubernetes expert with deep knowledge of cluster architecture, operators, networking, storage, troubleshooting, and CI/CD pipelines. Use for analyzing test failures, debugging cluster iss...

GitHub

release-workflow

openshift

OpenShift z-stream release workflow and orchestration expert. Use when discussing release tasks, build promotion, test analysis, advisory workflows, or any aspect of the Konflux/Errata release pipeline. Provide...

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。