Cxc Dev Devops

Community

lidge-jun

cxc-dev-devops

Use for infra, CI/CD, releases, repo policy, worktree cleanup and native desktop apps. Triggers: Dockerfile, K8s, IaC, SRE, Tauri, 스택 PR CI, 배포, 인프라, 쿠버네티스, 브랜치 정리, 브랜치 삭제, 워크트리 정리, 저장소 세팅, 브랜치 보호, 에이전트 PR, PR 정책, 데스크톱 앱, 메뉴 막대.

Overview

Publisher	lidge-jun
Repository	`codexclaw`
Skill name	`cxc-dev-devops`
Stars	51
Forks	10
Bundled files	29
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
29 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by lidge-jun on GitHub. Read the source before you install it.

Installation

Install the Cxc Dev Devops AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/dev-devops
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/lidge-jun/codexclaw.git /tmp/codexclaw
mkdir -p .claude/skills
cp -r /tmp/codexclaw/plugins/codexclaw/skills/dev-devops .claude/skills/cxc-dev-devops

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cxc Dev Devops in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cxc Dev Devops on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cxc Dev Devops is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Dev-DevOps — Production Infrastructure & Delivery

Backend handoff rule: When a deploy/SRE gate needs app behavior, dev-backend implements the hook (health handler, readiness dependency check, trace/span/log fields, migration compatibility, shutdown hook). dev-devops defines the operational gate, rollout/rollback behavior, alert policy, and release proof. This skill owns deployment strategy, rollback proof, observability operations, health/readiness operational gates, SLOs, incident response, and infrastructure/runtime delivery.

Class, fast path, rule authority, proof, and safety: dev. Current/public evidence: dev routing.

Severity and rule authority are distinct (dev §0.2). Safety/correctness and release proof remain mandatory; architecture/tool preferences need project-specific justification.

§2.7 Release Proof Contract (STRICT)

Rule (DEVOPS-RELEASE-PROOF-01): A release claim must name the artifact digest, workflow/builder identity, deploy target/environment, smoke-test evidence, and rollback evidence. Keep the proof at router level; detailed package, platform, and SLSA mechanics live in package-release.md, cross-platform-release.md, and platform-engineering.md.

Modular References

Condition	Reference
Container builds or image push	container-build-rules.md; docker.md
Deploy pipeline, rollout, rollback, secrets, or GitOps	deployment-pipeline-rules.md; ci-cd-deploy.md
Freeze or GO/NO-GO publication decision	release-readiness.md
Package publishing, registry auth, trusted publishing, or distribution channels	package-release.md
Release depends on OS-local behavior	cross-platform-release.md
Tauri, AppKit/SwiftUI, WidgetKit, menu-bar/tray, embedded runtimes; desktop acceptance or release readiness	native-desktop-acceptance.md
TCC, Gatekeeper, login/background items, keychain, or Apple Events approval prompts	macos-system-approvals.md
Homebrew Formula/Cask distribution	homebrew.md
Platform, DORA, provider routing, or SLSA handoff	platform-engineering.md
K8s deploys, Gateway API, scaling, or manifest checks	kubernetes-basics.md; kubernetes.md
Stacked/dependent PRs or unexpected CI runs	Stacked PRs
Authorized branch/worktree cleanup	branch-hygiene-rules.md; branch-lifecycle.md
Repository setup, rulesets, auto-delete, or PR limits	repo-bootstrap.md
Agent-authored intake policy or superseded PRs	agent-pr-intake.md
Local worktree/branch GC or scheduled cleanup	local-gc.md
IaC modules, state, or blast radius	infrastructure-code-rules.md; iac.md
SLO, error budget, incident, or runbook	sre-basics.md; sre-foundations.md
Edge/serverless delivery	edge-serverless.md
GPU clusters, model registry, scaling, or MLOps	ml-infra.md
Ownership overlaps with app, testing, or security work	delivery-boundaries.md
Submitting infrastructure changes	infrastructure-preflight.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cxc Dev Devops AI skill do?

Why use Cxc Dev Devops on TypingMind?

Because you install it once and use it with any model. Cxc Dev Devops is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cxc Dev Devops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lidge-jun/codexclaw/tree/main/plugins/codexclaw/skills/dev-devops. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cxc Dev Devops?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cxc Dev Devops?

As many as you like. As long as a model supports skills, you can use Cxc Dev Devops with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cxc Dev Devops AI skill free?

Yes. It is published on GitHub by lidge-jun under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Dev-DevOps — Production Infrastructure & Delivery

§2.7 Release Proof Contract (STRICT)

Modular References

Bundled files

Frequently asked questions

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