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1) MJ 创意渲染(
2) 创意放大(
3) 氛围转换(
1) MJ 创意渲染(
2) 创意放大(
3) 氛围转换(
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Install in OpenClaw
/install airilab
Description
统一调用 AiriLab 图像生成与任务管理能力(MJ 创意渲染 workflowId=0、创意放大 workflowId=16、氛围转换 workflowId=13),并自动处理登录鉴权、项目选择、任务提交、状态轮询与结果回推。用户提到 Midjourney/MJ 文生图、参考图生成、放大超分/4K、天气季节昼...
README (SKILL.md)
AiriLab Skill
目标
- 将 AiriLab SaaS 的多接口流程封装为可对话调用的单一技能。
- 在调用图像能力前,自动保证登录态与项目上下文有效。
- 通过后台 worker 追踪异步任务并主动回推结果。
能力范围
- 鉴权:手机号 + 验证码登录,持久化 token。
- 项目管理:拉取团队/项目、选择项目、持久化项目上下文。
- 图像工作流:
workflowId=0MJ 创意渲染(文生图/参考图生成)workflowId=16创意放大workflowId=13氛围转换(天气/季节/光照语义转换)
- 异步任务:提交后轮询状态,完成后拉取记录并通知用户。
触发规则
当用户表达以下任一意图时自动触发:
- MJ 创意渲染:文生图、概念图、效果图、参考图生成、多图出图。
- 创意放大:清晰度增强、超分辨率、长边 4K 放大、细节/纹理增强。
- 氛围转换:天气/季节/昼夜切换,提升画面氛围、故事感和视觉张力。
- AiriLab 流程操作:登录、验证码、选择项目、切换项目、查询任务状态、拉取任务结果。
强触发关键词(任一命中即可):
- MJ/渲染类:
mj、midjourney、文生图、渲染、概念图、效果图、参考图出图、生成4张 - 放大类:
创意放大、放大、高清、超分、4k、长边4k、细节增强、纹理增强 - 氛围类:
氛围转换、atmosphere、天气切换、季节切换、白天转夜景、晴天、雨天、雪景 - 流程类:
airilab登录、验证码登录、选择项目、切换项目、projectId、jobId、任务状态、查询结果
高置信触发语句示例:
- “用 MJ 生成 4 张现代建筑外立面概念图。”
- “把这张图做创意放大,长边 4K,细节和质感增强。”
- “把这张白天街景转成雨夜氛围,保留构图。”
- “帮我登录 AiriLab,然后列出项目让我选一个。”
- “这个 jobId 帮我查下状态,完成后把结果发我。”
触发优先级:
- 用户上传图像且包含“放大/氛围转换/改图”语义 -> 优先匹配
workflowId=16或workflowId=13。 - 无上传图像但包含“生成/渲染/MJ”语义 -> 匹配
workflowId=0。 - 包含“登录/项目/job 状态/结果”语义 -> 进入鉴权、项目或异步任务查询流程。
不触发条件(避免误触发):
- 用户仅讨论通用设计理论、审美评价,不要求生成/改图/放大/状态查询。
- 用户请求与 AiriLab 无关的纯文本任务(翻译、总结、写作)且未提及图像工作流。
前置条件(强约束)
- 调用任何 AiriLab 接口前必须检查登录态。
- 提交图像任务前必须存在已选项目(
teamId/projectId/projectName)。 - 登录失效时必须引导手机号验证码登录,不要求用户提供 token。
工作流参数约束
1) MJ 创意渲染(workflowId=0)
- 必填:
prompt - 可选:
referenceImage(最多 3 张)、imageCount(1-4)
2) 创意放大(workflowId=16)
- 必填:
baseImage - 可选:
width、height
3) 氛围转换(workflowId=13)
- 必填:
baseImage - 可选:
prompt、referenceImage(最多 1 张)、imageCount
多语言文案规范
以下文案用于能力介绍展示,字段名固定,换行统一使用 \ 。
1) MJ 创意渲染(workflowId=0)
desc: "The most creative and aesthetic AI model for fast, high-quality concept visuals."
descCN: "美学和创意性最强的AI模型,快速生成高质量概念意向图"
descFR: "Le modèle d’IA le plus créatif et esthétique pour générer rapidement des visuels conceptuels de haute qualité."
2) 创意放大(workflowId=16)
content: "4K Long-Edge Upscale with Enhanced Details and Texture"
contentCN: "放大至长边4K\
增强细节和质感"
contentFR: "Agrandissement 4K (côté long) avec amélioration des détails et des textures"
3) 氛围转换(workflowId=13)
heading: "Atmosphere swift"
headingCN: "氛围转换"
headingFR: "Atmosphère rapide"
content: "Quickly switch between weather and seasons\
Applicable scenarios: Rapidly enhance atmospheric expression, improve the narrative and visual tension of the proposal."
contentCN: "快速切换画面天气、季节\
适用场景:快速提升氛围表达,提升方案故事感与视觉张力"
contentFR: "Changez rapidement entre la météo et les saisons\
Scénarios applicables : Améliorez rapidement l'expression atmosphérique, améliorez la narration et la tension visuelle de la proposition."
异步任务处理(强约束)
轮询任务状态与查询生成记录必须分离:
- 轮询状态接口:
GET /api/Universal/Job/{jobId}- 状态字段来源:
data.status
- 状态字段来源:
- 记录查询接口:
POST /api/CrudRouters/getOneRecord- 仅在状态为
completed后调用
- 仅在状态为
脚本职责:
scripts/check_status.py:只做状态轮询,输出status:\x3Cvalue>。scripts/fetch.py:只做记录查询,返回生成 URL 列表等结果。scheduler/worker.py:负责任务生命周期与通知。- 任务提交成功后必须立即结束本轮对话,并明确告知用户“后台完成后会自动通知”。
本地持久化
- 运行根目录:优先使用环境变量
AIRILAB_HOME,未设置时默认~/.openclaw/skills/airilab。 config/.env:token 与登录相关信息。config/project_config.json:当前项目上下文。scheduler/jobs.db:异步任务状态。scheduler/worker.log:worker 运行日志。scheduler/worker.pid:worker 单实例锁文件。
运行命令
# 安装依赖
python -m pip install -r ~/.openclaw/skills/airilab/requirements.txt
# 查看配置状态
python ~/.openclaw/skills/airilab/core/config.py status
# 查看运行健康状态(token/project/worker/jobs)
python ~/.openclaw/skills/airilab/core/config.py health
# 一键健康检查(状态 + worker + 最近日志)
~/.openclaw/skills/airilab/scripts/health.sh
# 安装后初始化(依赖 + worker + 自启动)
~/.openclaw/skills/airilab/scripts/post-install.sh
# 启动后台 worker
~/.openclaw/skills/airilab/scripts/start-worker.sh
故障处理
missing_token:引导用户登录。missing_project:引导用户选择项目。timeout/ 轮询超时:任务标记失败并通知用户重试。- 记录查询
success=false:按失败处理,不得误判成功。
相关文件
core/config.pycore/auth.pycore/project.pycore/upload.pycore/api.pyscripts/check_status.pyscripts/fetch.pyscheduler/worker.pySPEC.md\r
Agent 执行约束(强约束)
1) 执行责任
- Agent 必须直接执行可执行步骤,不得把可执行命令转嫁给用户。
- 禁止输出“你可以手动执行…/请你在终端执行…”这类兜底话术,除非明确出现权限/环境阻塞且无法由 Agent 代执行。
- 登录场景下,Agent 只向用户索取最小必要输入:
phone、code;拿到后立即自行执行登录命令。
2) 路径解析与工作目录
skill_root:以当前SKILL.md所在目录为准,不依赖对话中的硬编码路径。runtime_root:优先AIRILAB_HOME,未设置时使用~/.openclaw/skills/airilab。- Agent 执行命令时必须使用绝对路径,且
cwd设置为skill_root,避免cd到错误目录。
3) 命令调用规范
- 登录:
python core/auth.py login --phone \x3Cphone> --code \x3Ccode>(由 Agent 执行) - 状态:
python core/config.py status(由 Agent 执行) - 健康:
python core/config.py health或scripts/health.sh(由 Agent 执行) - 启动 worker:
scripts/start-worker.sh(由 Agent 执行)
4) 对话输出规范
- 当缺少参数时,只提问缺失参数,不提供“手动执行命令”替代方案。
- 执行后返回结果摘要(成功/失败、关键字段、下一步),不要只返回命令文本。
- 若必须让用户介入,只允许两类:输入验证码、确认业务选择(例如项目选择)。\r
Usage Guidance
This skill appears to do what it claims (manage AiriLab jobs) and stores only AiriLab tokens and project configs locally. Before installing or running any post-install scripts: 1) review and consent to storing your AiriLab token under ~/.openclaw/skills/airilab/config/.env; 2) be aware post-install can install Python packages and enable a user-level service or crontab to run a background worker — if you don't want a persistent background process, do not run post-install.sh or pass --no-autostart and avoid enabling the systemd/crontab steps; 3) the agent will ask you for phone + OTP to login — supply those only if you trust the skill and account flow; 4) if you want higher assurance, inspect/execute the scripts manually rather than allowing automatic agent execution. If you want me to highlight exact lines that create autostart or persist tokens, say so and I will point them out.
Capability Analysis
Type: OpenClaw Skill
Name: airilab
Version: 0.0.1
The AiriLab skill bundle is a legitimate integration for AI image generation and task management. It implements a standard authentication flow (OTP via phone), project selection, and an asynchronous task polling system. While the bundle includes persistence mechanisms via systemd and crontab (found in `scripts/post-install.sh` and `scripts/setup-autostart.sh`) to maintain a background worker process, these actions are explicitly documented in `SKILL.md` and are necessary for the stated purpose of tracking long-running image generation jobs. The code follows secure practices for internal script execution and limits data access to its own configuration directory (`~/.openclaw/skills/airilab`).
Capability Assessment
Purpose & Capability
Name/description match the code and SKILL.md: the package implements AiriLab image generation (MJ/upscale/atmosphere), authentication (phone+OTP), project selection, task submission, polling and result fetching. Required resources (local filesystem, network to cn.airilab.com) are coherent with that purpose.
Instruction Scope
SKILL.md gives precise runtime instructions: the agent should run local python scripts to login, check status, fetch results and start a background worker. It will ask the user only for phone and OTP for login (per the constraints). This is within scope for a wrapper that manages async SaaS jobs, but it requires the agent to execute commands and receive OTPs from the user — a privacy/usability consideration the user should accept explicitly.
Install Mechanism
Registry lists no formal install spec, but the bundle includes post-install.sh which runs pip install -r requirements.txt and configures autostart (systemd user service or cron). The dependency install is simple (requests only) and all downloads go to the Python package index via pip; no unknown remote archives or URL shorteners are used. Still, running post-install.sh will modify user-level services/crontab and install packages locally.
Credentials
The skill declares no required env vars, and the code only optionally uses AIRILAB_HOME (defaults to ~/.openclaw/skills/airilab). It stores the AiriLab token locally in config/.env and project info in project_config.json. It does not request unrelated cloud credentials or external secrets. The phone/OTP interaction is necessary for the stated authentication flow.
Persistence & Privilege
The package includes scripts (post-install.sh, setup-autostart.sh, start-worker.sh) that can enable a user-level systemd service or add a crontab @reboot entry and will start a long-running worker process that polls AiriLab and writes files under the user's home (~/.openclaw). While this persistence is coherent with background job polling, it does grant the skill continuous background presence on the host if the user runs the post-install/autostart steps. Consider whether you want that runtime persistence before enabling autostart.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install airilab - After installation, invoke the skill by name or use
/airilab - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.1
AiriLab Skill v1.0.0
- Unified entry for AiriLab’s image workflows: creative MJ rendering, 4K upscale, and atmosphere/season conversion, all with integrated login, project management, and task state tracking.
- Automatic login and project context handling before any operation; only minimal user input (phone/code) is ever requested.
- Asynchronous tasks are submitted, status is polled in the background, and user is notified automatically when complete.
- Strong trigger rules based on user intent and keywords for image generation, upscaling, atmosphere conversion, and workflow operations (login, project, job status).
- Robust error handling, separation of polling and record-fetching functions, and clear user feedback on missing tokens, projects, or task failures.
- Command-line tools and scripts included for setup, health checks, and worker management, with clear execution responsibilities for agents.
Metadata
Frequently Asked Questions
What is AIRILAB?
统一调用 AiriLab 图像生成与任务管理能力(MJ 创意渲染 workflowId=0、创意放大 workflowId=16、氛围转换 workflowId=13),并自动处理登录鉴权、项目选择、任务提交、状态轮询与结果回推。用户提到 Midjourney/MJ 文生图、参考图生成、放大超分/4K、天气季节昼... It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.
How do I install AIRILAB?
Run "/install airilab" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AIRILAB free?
Yes, AIRILAB is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AIRILAB support?
AIRILAB is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AIRILAB?
It is built and maintained by Siyn Ma (@tatekii); the current version is v0.0.1.
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