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SkillsMP has collected 13 skills from lemma-work/lemma-platform. Open a skill to review its source and details.
Showing 13 of 13 collected skills.
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,…
Create, revise, and deliver polished, durable artifacts in a Lemma workspace: Markdown, HTML, DOCX, PDF, XLSX, and PPTX. Use for reports, documents, workbooks, presentations, exports, handouts, template-based revisions, or publication-ready files that must…
Create lightweight inline Lemma widgets for conversations via display_resource(type="WIDGET"): self-contained HTML/CSS/JS for metrics, lists, comparisons, timelines, record details, previews, and charts, optionally powered by live pod data through the browser…
Operate a real browser in a Lemma workspace for web pages or local/deployed apps: navigation, screenshots, login flows, forms, scraping, console/network inspection, and saved pages through Agent Browser. Use lemma-app-qa alongside it for systematic app…
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…
Run rigorous, source-backed research in an existing Lemma pod. Use for investigations, literature or market scans, policy and product research, fact-checking, comparisons, current-information questions, and updates to prior research that require pod files,…
Design, redesign, and visually refine Lemma pod apps into distinctive, production-quality interfaces grounded in the pod's real users, domain, data, files, agents, workflows, and assets. Use when defining information architecture or DESIGN.md, choosing…
Test and verify Lemma pod apps through real end-to-end user journeys in authenticated local and deployed contexts. Use when asked to QA, dogfood, smoke-test, regression-test, acceptance-test, reproduce, or verify a Lemma app; validate UI behavior against…
Analyze structured data in an existing Lemma pod: inspect table schemas and RLS scope, validate data quality, define KPIs, run read-only SQL, extract records or pod files, diagnose changes, calculate with Python, create decision-ready charts or workbooks,…
Design, run, and review repeatable evaluations for Lemma agents, functions, and workflows. Use when defining evaluation contracts and case datasets, comparing a baseline with a candidate revision or runtime, checking deterministic correctness or rubric-scored…
Create, revise, publish, and smoke-test pod-owned Lemma agent skills under /skills/skill-name. Use when defining a skill's triggers and instructions, organizing its references or scripts, safely updating an existing custom skill, publishing one through Lemma…
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…
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,…