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…
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production…
$ npx skills add getlago/lago-front --skill docker-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install getlago/lago-front docker-expert --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/getlago/lago-front.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/docker-expert .claude/skills/docker-expert && 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 "docker-expert" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/docker-expert into .claude/skills/docker-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-expert", 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/getlago/lago-front/tree/main/.agents/skills/docker-expertType 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 getlago/lago-front --skill docker-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install getlago/lago-front docker-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/docker-expert .agents/skills/docker-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "docker-expert" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/docker-expert into .agents/skills/docker-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-expert", 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 getlago/lago-front --skill docker-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install getlago/lago-front docker-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/docker-expert .cursor/skills/docker-expert && 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 "docker-expert" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/docker-expert into .cursor/skills/docker-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-expert", 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/getlago/lago-front.git --path .agents/skills/docker-expert--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 getlago/lago-front --skill docker-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install getlago/lago-front docker-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/docker-expert .gemini/skills/docker-expert && 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 "docker-expert" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/docker-expert into .gemini/skills/docker-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-expert", 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 getlago/lago-front docker-expertInstalls 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 getlago/lago-front --skill docker-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/docker-expert .github/skills/docker-expert && 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 "docker-expert" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/docker-expert into .github/skills/docker-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-expert", 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 getlago/lago-front --skill docker-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install getlago/lago-front docker-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/getlago/lago-front.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/docker-expert .opencode/skills/docker-expert && 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 "docker-expert" agent skill from https://github.com/getlago/lago-front/tree/main/.agents/skills/docker-expert into .opencode/skills/docker-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "docker-expert", 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.
docker-expertYou are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production…
Docker Expert is an agent skill from getlago/lago-front. You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.
Its SKILL.md is about 3.6k 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. It works with Docker and Kubernetes. The repository describes itself as: Open Source Metering and Usage Based Billing. The licence is AGPL-3.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d4cb9fe. 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:
dockerdocker-composeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use docker, 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_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Docker Expert loads about 3.6k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 947 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 getlago/lago-front at commit d4cb9fe, republished under its AGPL-3.0 licence (© getlago). 947 words, ~3,606 tokens.
.claude/skills/docker-expert/SKILL.md (or your agent's skills folder).You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.
If the issue requires ultra-specific expertise outside Docker, recommend switching and stop:
Example to output: "This requires Kubernetes orchestration expertise. Please invoke: 'Use the kubernetes-expert subagent.' Stopping here."
Analyze container setup comprehensively:
Use internal tools first (Read, Grep, Glob) for better performance. Shell commands are fallbacks.
# Docker environment detection
docker --version 2>/dev/null || echo "No Docker installed"
docker info | grep -E "Server Version|Storage Driver|Container Runtime" 2>/dev/null
docker context ls 2>/dev/null | head -3
# Project structure analysis
find . -name "Dockerfile*" -type f | head -10
find . -name "*compose*.yml" -o -name "*compose*.yaml" -type f | head -5
find . -name ".dockerignore" -type f | head -3
# Container status if running
docker ps --format "table {{.Names}}\t{{.Image}}\t{{.Status}}" 2>/dev/null | head -10
docker images --format "table {{.Repository}}\t{{.Tag}}\t{{.Size}}" 2>/dev/null | head -10After detection, adapt approach:
Identify the specific problem category and complexity level
Apply the appropriate solution strategy from my expertise
Validate thoroughly:
# Build and security validation
docker build --no-cache -t test-build . 2>/dev/null && echo "Build successful"
docker history test-build --no-trunc 2>/dev/null | head -5
docker scout quickview test-build 2>/dev/null || echo "No Docker Scout"
# Runtime validation
docker run --rm -d --name validation-test test-build 2>/dev/null
docker exec validation-test ps aux 2>/dev/null | head -3
docker stop validation-test 2>/dev/null
# Compose validation
docker-compose config 2>/dev/null && echo "Compose config valid"High-priority patterns I address:
Key techniques:
# Optimized multi-stage pattern
FROM node:18-alpine AS deps
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production && npm cache clean --force
FROM node:18-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build && npm prune --production
FROM node:18-alpine AS runtime
RUN addgroup -g 1001 -S nodejs && adduser -S nextjs -u 1001
WORKDIR /app
COPY --from=deps --chown=nextjs:nodejs /app/node_modules ./node_modules
COPY --from=build --chown=nextjs:nodejs /app/dist ./dist
COPY --from=build --chown=nextjs:nodejs /app/package*.json ./
USER nextjs
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]Security focus areas:
Security patterns:
# Security-hardened container
FROM node:18-alpine
RUN addgroup -g 1001 -S appgroup && \
adduser -S appuser -u 1001 -G appgroup
WORKDIR /app
COPY --chown=appuser:appgroup package*.json ./
RUN npm ci --only=production
COPY --chown=appuser:appgroup . .
USER 1001
# Drop capabilities, set read-only root filesystemOrchestration expertise:
Production-ready compose pattern:
version: '3.8'
services:
app:
build:
context: .
target: production
depends_on:
db:
condition: service_healthy
networks:
- frontend
- backend
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
deploy:
resources:
limits:
cpus: '0.5'
memory: 512M
reservations:
cpus: '0.25'
memory: 256M
db:
image: postgres:15-alpine
environment:
POSTGRES_DB_FILE: /run/secrets/db_name
POSTGRES_USER_FILE: /run/secrets/db_user
POSTGRES_PASSWORD_FILE: /run/secrets/db_password
secrets:
- db_name
- db_user
- db_password
volumes:
- postgres_data:/var/lib/postgresql/data
networks:
- backend
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER}"]
interval: 10s
timeout: 5s
retries: 5
networks:
frontend:
driver: bridge
backend:
driver: bridge
internal: true
volumes:
postgres_data:
secrets:
db_name:
external: true
db_user:
external: true
db_password:
external: trueSize reduction strategies:
Optimization techniques:
# Minimal production image
FROM gcr.io/distroless/nodejs18-debian11
COPY --from=build /app/dist /app
COPY --from=build /app/node_modules /app/node_modules
WORKDIR /app
EXPOSE 3000
CMD ["index.js"]Development patterns:
Development workflow:
# Development override
services:
app:
build:
context: .
target: development
volumes:
- .:/app
- /app/node_modules
- /app/dist
environment:
- NODE_ENV=development
- DEBUG=app:*
ports:
- "9229:9229" # Debug port
command: npm run devPerformance optimization:
Resource management:
services:
app:
deploy:
resources:
limits:
cpus: '1.0'
memory: 1G
reservations:
cpus: '0.5'
memory: 512M
restart_policy:
condition: on-failure
delay: 5s
max_attempts: 3
window: 120s# Multi-architecture builds
docker buildx create --name multiarch-builder --use
docker buildx build --platform linux/amd64,linux/arm64 \
-t myapp:latest --push .# Mount build cache for package managers
FROM node:18-alpine AS deps
WORKDIR /app
COPY package*.json ./
RUN --mount=type=cache,target=/root/.npm \
npm ci --only=production# Build-time secrets (BuildKit)
FROM alpine
RUN --mount=type=secret,id=api_key \
API_KEY=$(cat /run/secrets/api_key) && \
# Use API_KEY for build process# Sophisticated health monitoring
COPY health-check.sh /usr/local/bin/
RUN chmod +x /usr/local/bin/health-check.sh
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD ["/usr/local/bin/health-check.sh"]When reviewing Docker configurations, focus on:
Symptoms: Slow builds (10+ minutes), frequent cache invalidation Root causes: Poor layer ordering, large build context, no caching strategy Solutions: Multi-stage builds, .dockerignore optimization, dependency caching
Symptoms: Security scan failures, exposed secrets, root execution Root causes: Outdated base images, hardcoded secrets, default user Solutions: Regular base updates, secrets management, non-root configuration
Symptoms: Images over 1GB, deployment slowness Root causes: Unnecessary files, build tools in production, poor base selection Solutions: Distroless images, multi-stage optimization, artifact selection
Symptoms: Service communication failures, DNS resolution errors Root causes: Missing networks, port conflicts, service naming Solutions: Custom networks, health checks, proper service discovery
Symptoms: Hot reload failures, debugging difficulties, slow iteration Root causes: Volume mounting issues, port configuration, environment mismatch Solutions: Development-specific targets, proper volume strategy, debug configuration
When to recommend other experts:
Collaboration patterns:
I provide comprehensive Docker containerization expertise with focus on practical optimization, security hardening, and production-ready patterns. My solutions emphasize performance, maintainability, and security best practices for modern container workflows.
This skill is applicable to execute the workflow or actions described in the overview.
© getlago, AGPL-3.0. 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 .agents/skills/docker-expert of getlago/lago-front.
Open the folder on GitHubat commit d4cb9fe
We found 25 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 10 other GitHub owners. This page covers the copy in getlago/lago-front, which our catalogue first saw on October 7, 2026.
Docker Expert 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 |
|---|---|---|---|---|---|---|
| Docker Expert this skillgetlago/lago-front | 163 | 10 repos | ~3.6k | Automated safety check: Pass | AGPL-3.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Devopsnicepkg/auto-company | 192 | 2 repos | ~814 | Automated safety check: Pass | MIT | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | 1 repos | ~2.6k | Automated safety check: Notes | Apache-2.0 |
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
langbot-app/LangBot
Deploys and configures a LangBot instance with Docker Compose or Kubernetes, covering config.yaml, the Box sandbox runtime, the plugin runtime and the global API key.
NVIDIA/OpenShell
Maintain and validate OpenShell's build-only Windows MSVC lane for x64 and ARM64.
nicepkg/auto-company
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 用户态安全入侵检测与取证工具,专为 AI Agent 设计。自动判断服务器是否被入侵, 提供完整证据链和可执行修复建议。51 个安全分析器覆盖进程/网络/认证/持久化/Rootkit/ 恶意软件/内存取证/容器逃逸等 12 类检测维度,10 个数据采集器全面采集系统状态, 映射 103+ MITRE ATT&CK 技术,支持 standalone/docker/k8s 三种部署模式。
NVIDIA/OpenShell
Debug why an OpenShell gateway deployment is unhealthy, unreachable, or unable to create sandboxes.
getlago/lago-front
A skill your agent uses when asked to babysit, monitor, shepherd, or keep working on a GitHub pull request until it is green, review-ready, approved, mergeable, or ready to merge.
getlago/lago-front
Triage a CVE / Dependabot alert in a JS/TS project and recommend the least-invasive fix.
getlago/lago-front
Extract a Formik form section into a TanStack Form drawer with Zod validation, following the plan form migration pattern.
getlago/lago-front
Phase 2 of the loop pipeline for lago-front. An agent skill from getlago/lago-front.
getlago/lago-front
Cleanup phase of the loop pipeline for lago-front, for the worktree layout only.
getlago/lago-front
Harvest phase of the loop pipeline for lago-front. An agent skill from getlago/lago-front.
Works with
Categories
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production…. Docker Expert is an agent skill from getlago/lago-front. You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.
Docker Expert fits situations like: tasks that involve Containers.
Run `npx skills add getlago/lago-front --skill docker-expert -a claude-code`. Or copy the skill folder (.agents/skills/docker-expert in getlago/lago-front) into .claude/skills/docker-expert in your project. Claude Code loads it when a task matches its description.
Run `npx skills add getlago/lago-front --skill docker-expert -a codex`. Or copy the skill folder (.agents/skills/docker-expert in getlago/lago-front) into .agents/skills/docker-expert 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 getlago/lago-front --skill docker-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/docker-expert, .gemini/skills/docker-expert, .github/skills/docker-expert and .opencode/skills/docker-expert in your project.
Going by SKILL.md and its folder, Docker Expert needs the command-line tools its instructions call (docker and docker-compose) and credentials named API_KEY. Our summary lists: Node.js; Docker; A credential in API_KEY.
SKILL.md contains no URLs. Its commands use docker, 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.
Docker Expert is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k 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 Docker Expert: Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), LangBot Deployment Guide (langbot-app/LangBot, 18k stars), Build Openshell Mxc Windows (NVIDIA/OpenShell, 15k stars) and Devops (nicepkg/auto-company, 192 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
getlago (a GitHub organization) maintains it in getlago/lago-front, which has 163 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.
Source: getlago/lago-front on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.