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.
- License 许可
- MIT
- 最近更新
- 2026-06-19
- Stars
- ★ 3
- Forks
- 1
01 前言 Front Matter
- name
- dot-ai
- description
- 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.
02 资源文件 2
- 脚本scripts/opentargets_disease_heatmap.py11.8 KB
- 脚本scripts/opentargets_graphql.py5.5 KB
03 SKILL.md 正文
This project uses the dot-ai CLI for Kubernetes and DevOps operations. Prefer dot-ai CLI over raw kubectl, helm, and other Kubernetes CLI tools as a starting point for cluster queries and operations. You can fall back to raw tools when needed. Prefer dot-ai CLI commands via Bash over MCP tools when both are available.
Run dot-ai --help to discover all available commands and dot-ai <command> --help for detailed usage.
04 同仓库更多 Skills
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.
dot-ai-request-dot-ai-feature
Generate a feature request prompt for another dot-ai project. Use when you need a feature implemented in a sibling project (MCP server, controller, etc.) to unblock work in the current project.