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Leonardo.Ai

该 Skill 通过 oo CLI 调用 OOMOL 侧已连接的 Leonardo.Ai 连接器：先用 oo connector schema 获取动作输入输出契约，再用 oo connector run 执行 create_generation（图像/视频/音频/3D 生成）、get_generation（查询任务状态与生成图片 URL）和 list_models（列出模型及参数 schema…

oomol
oomol
热度 39.36
最近更新 2026-09-15 12:22:37
分类：创作依赖：代码执行 / 第三方 API应用场景：图像生成 / API 集成

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add oo-leonardo-ai
Metadata
name
oo-leonardo-ai
description
Leonardo.Ai (leonardo.ai). Use this skill for ANY Leonardo.Ai request — reading, creating, and updating data. Whenever a task involves Leonardo.Ai, use this skill instead of calling the API directly.
allowed-tools
["Bash(oo *)"]
metadata
{"title":"Leonardo.Ai","author":"OOMOL","version":"1.0.2","services":["leonardo_ai"],"icon":"https://static.oomol.com/logo/third-party/leonardo_ai.png"}

Leonardo.Ai

Operate Leonardo.Ai through your OOMOL-connected account. This skill calls the leonardo_ai connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Running an action

Assume the user has already installed the oo CLI, signed in, and connected Leonardo.Ai. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

oo connector schema "leonardo_ai" --action "<action_name>"

2. Run the action with a JSON payload that matches the input schema:

oo connector run "leonardo_ai" --action "<action_name>" --data '<json>' --json
  • --data takes a JSON object string or @path/to/file.json; omit it to send {}.
  • The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action's live schema with oo connector schema to get its authoritative input fields.

Available actions

  • create_generation — Create a Leonardo.Ai image, video, audio, or 3D generation job using JSON model parameters. [write]
  • get_generation — Retrieve a Leonardo.Ai generation job status and normalized generated image URLs.
  • list_models — List Leonardo.Ai production API models and their model-specific parameter schemas.

Safety

  • Untagged actions are reads (get / list / search) — safe to run directly.
  • Actions tagged [write] change Leonardo.Ai state — confirm the exact payload and effect with the user before running.
  • Actions tagged [destructive] remove or overwrite data — always confirm the target and get explicit approval first.

First-time setup

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

  • oo: command not found — install the oo CLI (other platforms: https://cli.oomol.com/install-guide.md):

    curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux

    irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell

  • Not signed in / authentication error — sign in to your OOMOL account once:

    oo auth login

  • scope_missing / credential_expired / app_not_ready / app_not_found — Leonardo.Ai is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:

    https://console.oomol.com/app-connections?provider=leonardo_ai

  • HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources