lemma-platform

Design 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.

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 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.