菜单
Generate or regenerate a Lemma integration package from an OpenAPI spec inside lemma-connectors. Use this when adding a new provider package, improving generated package quality, or regenerating an existing app with the expected naming, typing, and binary-result behavior.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | integration-creator |
| description | Generate or regenerate a Lemma integration package from an OpenAPI spec inside lemma-connectors. Use this when adding a new provider package, improving generated package quality, or regenerating an existing app with the expected naming, typing, and binary-result behavior. |
Use this skill when working inside lemma-connectors to add or regenerate a
provider package from an OpenAPI spec.
Each app package should contain:
client.pygenerated/client/generated/pydantic_models.pygenerated/pydantic_model_registry.jsongenerated/openapi_metadata.jsongenerated/tool_types.pyresources/__init__.pyresources/<resource>.pyOperation coverage should be near-full for the in-scope provider API surface.
operationId values, not raw path
ancestry.BinaryContentResult, not
placeholder dict[str, object] wrappers.users_messages_list when the provider intent
is clearly messages_list.format field onto generated client parameters
like format_.Use the exact commands and validation checklist in references/workflow.md.
Before considering the work complete:
BinaryContentResultDesign and build complete Lemma pods: model tables/files/functions/agents/workflows/schedules/connectors/surfaces/apps from a problem statement, author a local pod bundle, import progressively with the Lemma CLI, and verify every layer. Use for pod design, creation, restructuring, import/export, and app development. Do not use for day-to-day operation of an existing pod; use lemma-user instead.
Create lightweight inline Lemma widgets for conversations via display_resource(type="WIDGET"): self-contained HTML/CSS/JS or SVG for metrics, lists, comparisons, timelines, record details, previews, and charts, optionally powered by live pod data through the browser Lemma SDK. Use an app, not a widget, when the UI needs React, routing, or substantial application state.
Operate an existing Lemma pod from the CLI as a human or agent: inspect resources, query tables and records under RLS, search and read pod files (converted markdown, page images), run functions and workflows, submit waiting workflow forms, chat with pod agents, run first-party tools, and execute third-party connector operations. Do not use for designing or building pods; use lemma-builder instead.
Use this skill when a task needs a real browser in a Lemma workspace: opening web pages or local dev apps, UI inspection and debugging, screenshots, login flows, form filling, scraping, console/network logs, or saving web pages — all via the Agent Browser CLI and headful Chromium.
Use this skill to parse documents that live OUTSIDE the pod's file system — a PDF an agent fetched from the web, a local one-off, or any file you won't upload — or as a fallback when a pod file lacks its auto-produced markdown/page-images. Extracts text, layout, bounding boxes, OCR, page screenshots, or structured output from PDF, DOCX, PPTX, XLSX, CSV, TSV, images, and other LiteParse formats. For documents that live in the pod, prefer the pod's built-in conversion/search instead.