Senior DevOps Toolkit
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单. An agent skill from affaan-m/ECC.
$ npx skills add affaan-m/ECC --skill deployment-patterns -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC deployment-patterns --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/zh-CN/skills/deployment-patterns .claude/skills/deployment-patterns && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deployment-patterns" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/deployment-patterns into .claude/skills/deployment-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deployment-patterns", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/deployment-patternsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add affaan-m/ECC --skill deployment-patterns -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC deployment-patterns --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/zh-CN/skills/deployment-patterns .agents/skills/deployment-patterns && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deployment-patterns" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/deployment-patterns into .agents/skills/deployment-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deployment-patterns", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill deployment-patterns -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC deployment-patterns --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/zh-CN/skills/deployment-patterns .cursor/skills/deployment-patterns && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deployment-patterns" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/deployment-patterns into .cursor/skills/deployment-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deployment-patterns", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/affaan-m/ECC.git --path docs/zh-CN/skills/deployment-patterns--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add affaan-m/ECC --skill deployment-patterns -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC deployment-patterns --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/zh-CN/skills/deployment-patterns .gemini/skills/deployment-patterns && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deployment-patterns" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/deployment-patterns into .gemini/skills/deployment-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deployment-patterns", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install affaan-m/ECC deployment-patternsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add affaan-m/ECC --skill deployment-patterns -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/zh-CN/skills/deployment-patterns .github/skills/deployment-patterns && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deployment-patterns" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/deployment-patterns into .github/skills/deployment-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deployment-patterns", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill deployment-patterns -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install affaan-m/ECC deployment-patterns --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/zh-CN/skills/deployment-patterns .opencode/skills/deployment-patterns && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deployment-patterns" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/deployment-patterns into .opencode/skills/deployment-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deployment-patterns", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
deployment-patterns部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单. An agent skill from affaan-m/ECC.
Deployment Patterns is an agent skill from affaan-m/ECC. 部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单。
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Containers, CI/CD and Deployment. It works with Docker. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.
Read from SKILL.md and the folder at commit ef648e0. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
kubectlvercelrailwaynpxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use kubectl, vercel and npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
API_KEYGITHUB_TOKENJWT_SECRETFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Deployment Patterns loads about 2.1k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 106 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from affaan-m/ECC at commit ef648e0, republished under its MIT licence (© affaan-m). 106 words, ~2,123 tokens.
.claude/skills/deployment-patterns/SKILL.md (or your agent's skills folder).生产环境部署工作流和 CI/CD 最佳实践。
逐步替换实例——在发布过程中,新旧版本同时运行。
实例 1: v1 → v2 (首次更新)
实例 2: v1 (仍在运行 v1)
实例 3: v1 (仍在运行 v1)
实例 1: v2
实例 2: v1 → v2 (第二次更新)
实例 3: v1
实例 1: v2
实例 2: v2
实例 3: v1 → v2 (最后更新)优点: 零停机时间,渐进式发布 缺点: 两个版本同时运行——需要向后兼容的更改 适用场景: 标准部署,向后兼容的更改
运行两个相同的环境。原子化地切换流量。
Blue (v1) ← 流量
Green (v2) 空闲,运行新版本
# 验证后:
Blue (v1) 空闲(转为备用状态)
Green (v2) ← 流量优点: 即时回滚(切换回蓝色环境),切换干净利落 缺点: 部署期间需要双倍的基础设施 适用场景: 关键服务,对问题零容忍
首先将一小部分流量路由到新版本。
v1:95% 的流量
v2:5% 的流量(金丝雀)
# 如果指标表现良好:
v1:50% 的流量
v2:50% 的流量
# 最终:
v2:100% 的流量优点: 在全量发布前,通过真实流量发现问题 缺点: 需要流量分割基础设施和监控 适用场景: 高流量服务,风险性更改,功能标志
# Stage 1: Install dependencies
FROM node:22-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci --production=false
# Stage 2: Build
FROM node:22-alpine AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build
RUN npm prune --production
# Stage 3: Production image
FROM node:22-alpine AS runner
WORKDIR /app
RUN addgroup -g 1001 -S appgroup && adduser -S appuser -u 1001
USER appuser
COPY --from=builder --chown=appuser:appgroup /app/node_modules ./node_modules
COPY --from=builder --chown=appuser:appgroup /app/dist ./dist
COPY --from=builder --chown=appuser:appgroup /app/package.json ./
ENV NODE_ENV=production
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD wget --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1
CMD ["node", "dist/server.js"]FROM golang:1.22-alpine AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 GOOS=linux go build -ldflags="-s -w" -o /server ./cmd/server
FROM alpine:3.19 AS runner
RUN apk --no-cache add ca-certificates
RUN adduser -D -u 1001 appuser
USER appuser
COPY --from=builder /server /server
EXPOSE 8080
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:8080/health || exit 1
CMD ["/server"]FROM python:3.12-slim AS builder
WORKDIR /app
RUN pip install --no-cache-dir uv
COPY requirements.txt .
RUN uv pip install --system --no-cache -r requirements.txt
FROM python:3.12-slim AS runner
WORKDIR /app
RUN useradd -r -u 1001 appuser
USER appuser
COPY --from=builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin
COPY . .
ENV PYTHONUNBUFFERED=1
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=3s CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/')" || exit 1
CMD ["gunicorn", "config.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "4"]# 良好实践
- 使用特定版本标签(node:22-alpine,而非 node:latest)
- 采用多阶段构建以最小化镜像体积
- 以非 root 用户身份运行
- 优先复制依赖文件(利用分层缓存)
- 使用 .dockerignore 排除 node_modules、.git、tests 等文件
- 添加 HEALTHCHECK 指令
- 在 docker-compose 或 k8s 中设置资源限制
# 不良实践
- 以 root 身份运行
- 使用 :latest 标签
- 在单个 COPY 层中复制整个仓库
- 在生产镜像中安装开发依赖
- 在镜像中存储密钥(应使用环境变量或密钥管理器)name: CI/CD
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 22
cache: npm
- run: npm ci
- run: npm run lint
- run: npm run typecheck
- run: npm test -- --coverage
- uses: actions/upload-artifact@v4
if: always()
with:
name: coverage
path: coverage/
build:
needs: test
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- uses: actions/checkout@v4
- uses: docker/setup-buildx-action@v3
- uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- uses: docker/build-push-action@v5
with:
push: true
tags: ghcr.io/${{ github.repository }}:${{ github.sha }}
cache-from: type=gha
cache-to: type=gha,mode=max
deploy:
needs: build
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
environment: production
steps:
- name: Deploy to production
run: |
# Platform-specific deployment command
# Railway: railway up
# Vercel: vercel --prod
# K8s: kubectl set image deployment/app app=ghcr.io/${{ github.repository }}:${{ github.sha }}
echo "Deploying ${{ github.sha }}"PR 已开启:
lint → typecheck → 单元测试 → 集成测试 → 预览部署
合并到 main:
lint → typecheck → 单元测试 → 集成测试 → 构建镜像 → 部署到 staging → 冒烟测试 → 部署到 production// Simple health check
app.get("/health", (req, res) => {
res.status(200).json({ status: "ok" });
});
// Detailed health check (for internal monitoring)
app.get("/health/detailed", async (req, res) => {
const checks = {
database: await checkDatabase(),
redis: await checkRedis(),
externalApi: await checkExternalApi(),
};
const allHealthy = Object.values(checks).every(c => c.status === "ok");
res.status(allHealthy ? 200 : 503).json({
status: allHealthy ? "ok" : "degraded",
timestamp: new Date().toISOString(),
version: process.env.APP_VERSION || "unknown",
uptime: process.uptime(),
checks,
});
});
async function checkDatabase(): Promise<HealthCheck> {
try {
await db.query("SELECT 1");
return { status: "ok", latency_ms: 2 };
} catch (err) {
return { status: "error", message: "Database unreachable" };
}
}livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 10
periodSeconds: 30
failureThreshold: 3
readinessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 5
periodSeconds: 10
failureThreshold: 2
startupProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 0
periodSeconds: 5
failureThreshold: 30 # 30 * 5s = 150s max startup time# All config via environment variables — never in code
DATABASE_URL=postgres://user:pass@host:5432/db
REDIS_URL=redis://host:6379/0
API_KEY=${API_KEY} # injected by secrets manager
LOG_LEVEL=info
PORT=3000
# Environment-specific behavior
NODE_ENV=production # or staging, development
APP_ENV=production # explicit app environmentimport { z } from "zod";
const envSchema = z.object({
NODE_ENV: z.enum(["development", "staging", "production"]),
PORT: z.coerce.number().default(3000),
DATABASE_URL: z.string().url(),
REDIS_URL: z.string().url(),
JWT_SECRET: z.string().min(32),
LOG_LEVEL: z.enum(["debug", "info", "warn", "error"]).default("info"),
});
// Validate at startup — fail fast if config is wrong
export const env = envSchema.parse(process.env);# Docker/Kubernetes: point to previous image
kubectl rollout undo deployment/app
# Vercel: promote previous deployment
vercel rollback
# Railway: redeploy previous commit
railway up --commit <previous-sha>
# Database: rollback migration (if reversible)
npx prisma migrate resolve --rolled-back <migration-name>在任何生产部署之前:
© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in docs/zh-CN/skills/deployment-patterns of affaan-m/ECC.
Open the folder on GitHubat commit ef648e0
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.
Deployment Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deployment Patterns this skillaffaan-m/ECC | 275k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| DDNS Build and Release MaintenanceNewFuture/DDNS | 4.7k | — | ~444 | Automated safety check: Pass | MIT | |
| Devops EngineerYikai-Liao/symusic | 189 | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Devops InfrastructureCloudAI-X/claude-workflow-v2 | 1.4k | — | ~2.7k | Automated safety check: Notes | MIT | |
| CI/CD Pipeline Principlesirahardianto/awesome-agv | 157 | — | ~2.7k | Automated safety check: Notes | MIT |
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
NewFuture/DDNS
Maintains the DDNS project's GitHub Actions, Docker and Nuitka builds, packaging and release preparation without touching publishing credentials.
Yikai-Liao/symusic
Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates.
CloudAI-X/claude-workflow-v2
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup.
irahardianto/awesome-agv
Rules for designing CI/CD pipelines in layers: universal lint, test and scan stages, container builds with SBOM attestation, and GitOps for orchestrated deployments.
agentfront/frontmcp
A skill your agent uses when deploying, building for production, packaging, or shipping a FrontMCP server.
affaan-m/ECC
Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable…
affaan-m/ECC
Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.
affaan-m/ECC
Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.
affaan-m/ECC
Measures whether agents actually follow a skill, rule or agent definition by generating scenarios at three strictness levels and scoring tool-call traces.
affaan-m/ECC
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
affaan-m/ECC
Adds one optional external Codex critique that tries to break a council's decision draft, sent to OpenAI only after you consent.
Works with
Categories
部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单. An agent skill from affaan-m/ECC. Deployment Patterns is an agent skill from affaan-m/ECC.
Deployment Patterns fits situations like: tasks that involve Containers; tasks that involve CI/CD; tasks that involve Deployment.
Run `npx skills add affaan-m/ECC --skill deployment-patterns -a claude-code`. Or copy the skill folder (docs/zh-CN/skills/deployment-patterns in affaan-m/ECC) into .claude/skills/deployment-patterns in your project. Claude Code loads it when a task matches its description.
Run `npx skills add affaan-m/ECC --skill deployment-patterns -a codex`. Or copy the skill folder (docs/zh-CN/skills/deployment-patterns in affaan-m/ECC) into .agents/skills/deployment-patterns in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill deployment-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deployment-patterns, .gemini/skills/deployment-patterns, .github/skills/deployment-patterns and .opencode/skills/deployment-patterns in your project.
Going by SKILL.md and its folder, Deployment Patterns needs the command-line tools its instructions call (kubectl, vercel, railway and npx) and credentials named API_KEY, GITHUB_TOKEN and JWT_SECRET. Our summary lists: Python 3; Node.js; Docker; A credential in GITHUB_TOKEN; A credential in API_KEY.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Deployment Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Deployment Patterns: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), DDNS Build and Release Maintenance (NewFuture/DDNS, 4.7k stars), Devops Engineer (Yikai-Liao/symusic, 189 stars) and Devops Infrastructure (CloudAI-X/claude-workflow-v2, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 275,023 GitHub stars. The repository holds 645 skills in this directory. The repository was last updated on October 5, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.