Sealos AI 工作流 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
Sealos AI 工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
Sealos AI 工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:pip 安装(推荐)
pip install sealos-skills
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install sealos-skills
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/labring/sealos-skills
cd sealos-skills
pip install -e .
# 验证安装
python -c "import sealos_skills; print('安装成功')"
# 命令行使用
sealos-skills --help
# 基本用法
sealos-skills input_file -o output_file
# Python 代码中调用
import sealos_skills
# 示例
result = sealos_skills.process("input")
print(result)
# sealos-skills 配置文件示例(config.yml) app: name: "sealos-skills" debug: false log_level: "INFO" # 运行时指定配置文件 sealos-skills --config config.yml # 或通过环境变量配置 export SEALOS_SKILLS_API_KEY="your-key" export SEALOS_SKILLS_OUTPUT_DIR="./output"
Deploy projects to Sealos Cloud from your AI agent.
Sealos Skills is a plugin-first skill pack centered on Sealos Cloud development and deployment. It helps an AI agent inspect a project, prepare missing deployment artifacts, connect Sealos Cloud databases and object storage for development, build or reuse a container image, ship the app to Sealos Cloud, and view deployed resources in a local read-only canvas.
The recommended Codex path is native Codex plugin installation. Cross-host plugin installs, skills.sh, and context-only extension hosts such as Gemini CLI and Qwen Code use the same root skills/** source.
Add this repository as a Codex marketplace, then install the Sealos plugin:
codex plugin marketplace add labring/sealos-skills
codex plugin add sealos@sealos
One Sealos plugin installs the deploy, database, S3, canvas, app-builder, and supporting cloud-native skills from root skills/**: sealos-deploy, sealos-database, sealos-s3, sealos-canvas, sealos-app-builder, cloud-native-readiness, dockerfile-skill, and docker-to-sealos.
For compatibility and local Codex testing, install the same plugin with:
npx plugins add https://github.com/labring/sealos-skills --target codex
After installation in Codex, use the plugin from Codex:
$sealos
Codex examples:
$sealos deploy this repo to Sealos Cloud
$sealos deploy /path/to/project
$sealos deploy https://github.com/labring-sigs/kite
$sealos create a cloud Postgres database for this repo and wire DATABASE_URL
$sealos create private S3 object storage for uploads and wire env vars
Add this repository as a Claude Code marketplace, then install the Sealos plugin:
claude plugin marketplace add labring/sealos-skills
claude plugin install sealos@sealos
For compatibility with cross-host plugin installers, install the same plugin with:
npx plugins add https://github.com/labring/sealos-skills --target claude-code
If you only use one detected agent tool on the machine, you can let plugins choose the target:
npx plugins add https://github.com/labring/sealos-skills
After installation in Claude Code, use /sealos:
/sealos deploy this repo to Sealos Cloud
/sealos deploy /path/to/project
/sealos deploy https://github.com/labring-sigs/kite
/sealos create a cloud Postgres database for this repo and wire DATABASE_URL
/sealos create private S3 object storage for uploads and wire env vars
You only need a plugin-compatible or skills.sh compatible AI agent and a project to deploy.
During the deploy, database, and object-storage flows, Sealos Skills will:
kubectl are availablesealos-cli for Sealos Cloud database creation, connection details, and database operationssealos-cli s3 for Sealos object storage buckets, credentials, quota checks, object operations, and presigned URLsFor an actual deployment, you will still need a Sealos Cloud account and access to a container registry, but these do not need to be fully set up before the skill starts. For database and object-storage work, you need a Sealos Cloud account and a workspace that can create the requested resources.
On a typical deploy, the agent will:
Later runs can switch to an in-place update flow when an existing deployment is detected.
Prefer the plugin install for Codex and Claude Code because it:
The Codex integration follows OpenAI's Codex plugin build guide:
.codex-plugin/plugin.json contains plugin identity, discovery metadata, interface copy, default prompts, brand metadata, and asset paths relative to the repository root..agents/plugins/marketplace.json registers this repo-local plugin for local Codex marketplace testing..claude-plugin/plugin.json and .claude-plugin/marketplace.json define the Claude Code-compatible plugin surface.distribution/platforms.json records platform support claims and evidence.marketplaces/README.md owns marketplace rules and prevents command-support overclaims.scripts/validate-codex-plugin.py validates the Codex manifest, Claude Code metadata, repo marketplaces, platform registry, and asset paths.skills/**/SKILL.md remains the only skill source; do not add a second packaged copy of the skills.Validate plugin metadata before publishing or pushing manifest changes:
python3 scripts/validate-codex-plugin.py
python3 -m json.tool .codex-plugin/plugin.json >/dev/null
python3 -m json.tool plugin.json >/dev/null
python3 -m json.tool .agents/plugins/marketplace.json >/dev/null
python3 -m json.tool marketplace.json >/dev/null
python3 -m json.tool .claude-plugin/plugin.json >/dev/null
python3 -m json.tool .claude-plugin/marketplace.json >/dev/null
python3 -m json.tool distribution/platforms.json >/dev/null
If your agent uses skills.sh directly, install the same skills pack with:
npx skills add labring/sealos-skills
Then run the deploy skill directly:
/sealos-deploy
/sealos-deploy /path/to/project
/sealos-deploy https://github.com/labring-sigs/kite
/sealos-database create a cloud Postgres database for this repo and wire DATABASE_URL
/sealos-s3 create private object storage for uploads and wire env vars
After a project has been deployed, use the sealos-canvas skill through your installed plugin entry point.
/sealos-deploy, /sealos-database, and /sealos-s3 are direct skills.sh skill entries. Plugin usage should go through $sealos in Codex or /sealos in Claude Code.
高质量的开源AI工作流项目,自动化部署和管理云原生应用
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AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
经综合评估,Sealos AI 工作流 在Agent工作流赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | sealos-skills |
| 原始描述 | 开源AI工作流:AI agent skills for Sealos Cloud — deploy any project, provision databases, obje。⭐39 · Python |
| Topics | AI工作流云原生Python |
| GitHub | https://github.com/labring/sealos-skills |
| 语言 | Python |
收录时间:2026-05-26 · 更新时间:2026-05-30 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。
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