dot-ai-remediate
AI-powered Kubernetes issue analysis that provides root cause identification and actionable remediation steps. Unlike basic kubectl commands, this tool performs multi-step investigation, correlates cluster data, and generates intelligent solutions. Use when users want to understand WHY something is broken, not just see raw status. Ideal for: troubleshooting failures, diagnosing performance issues, analyzing pod problems, investigating networking/storage issues, or any "what's wrong" questions.
- License 许可
- MIT
- 最近更新
- 2026-06-19
- Stars
- ★ 3
- Forks
- 1
01 前言 Front Matter
- name
- dot-ai-remediate
- description
- AI-powered Kubernetes issue analysis that provides root cause identification and actionable remediation steps. Unlike basic kubectl commands, this tool performs multi-step investigation, correlates cluster data, and generates intelligent solutions. Use when users want to understand WHY something is broken, not just see raw status. Ideal for: troubleshooting failures, diagnosing performance issues, analyzing pod problems, investigating networking/storage issues, or any "what's wrong" questions.
- user-invocable
- true
03 SKILL.md 正文
dot-ai remediate
AI-powered Kubernetes issue analysis that provides root cause identification and actionable remediation steps. Unlike basic kubectl commands, this tool performs multi-step investigation, correlates cluster data, and generates intelligent solutions. Use when users want to understand WHY something is broken, not just see raw status. Ideal for: troubleshooting failures, diagnosing performance issues, analyzing pod problems, investigating networking/storage issues, or any "what's wrong" questions.
Usage
dot-ai remediate
04 同仓库更多 Skills
dot-ai
Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
dot-ai-write-docs
Write documentation with real, validated examples. Executes commands through the user to capture actual output. Use for any new documentation or major doc updates.
dot-ai-worktree-prd
Create a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.
dot-ai-version
Get comprehensive system health and diagnostics
dot-ai-users
Manage users (create, list, delete)
dot-ai-tag-release
Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.