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domo-ai-vibe-rules
domo-ai-vibe-rules에는 stahura에서 수집한 skills 40개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Step-by-step orchestrator for building Domo App Studio apps with native KPI cards via community-domo-cli. Sequences app creation, pages, theme, hero metrics, native charts, filter cards, layout assembly, and navigation. CLI-first — no raw API calls.
Domo KPI card CRUD via community-domo-cli — body schema, column mapping, beast modes, chart type index with on-demand reference files, and gotchas.
**Generating sample data for Domo** -- invoke when a user needs to create realistic sample datasets and upload them to a Domo instance. Primary signals: requests for sample data, demo data, test data, fake data for Domo; mentions of Salesforce, Google Analytics, QuickBooks, NetSuite, Google Ads, Facebook Ads, HubSpot, Marketo, or Health Portal sample data; questions about the datagen CLI or domo_data_generator. Covers: generating datasets, uploading to Domo, creating datasets in Domo, rolling dates, entity pools, connector icons, catalog management, and adding new dataset definitions. Skip for: real connector setup, production data pipelines, data transformations (Magic ETL), or Domo App Platform.
Create AppDB collections via CLI-first workflows where collection creation also provisions the required datastore, then returns collection identifiers for manifest wiring and document-write follow-up. Use when an agent must initialize new AppDB storage for a Domo app, not just list/get collections or create documents.
Create Domo Code Engine packages from CLI workflows with deterministic payload contracts, automatic function parameter datatype mapping, and manifest packagesMapping follow-up guidance. Use when an agent must create a new package/versioned package container rather than only invoke an existing function from app runtime code.
Update Domo Code Engine packages through CLI-driven versioned lifecycle workflows with compatibility checks, datatype contract safeguards, and manifest mapping drift synchronization. Use when an agent must update package code or create a new package version and keep app mappings aligned.
General instructions for using the community-domo-cli in this repository, including install/auth setup, endpoint testing, and troubleshooting.
Execute Code Engine functions from apps with domo.post and strict packagesMapping input/output contracts.
Configure manifest mappings for datasets, workflows, collections, and Code Engine packagesMapping contracts.
Build and publish Domo apps with dist workflow and first-publish ID handling.
Clean, professional dashboard theme for Domo custom apps. CSS custom properties, layout patterns, typography, and design polish that feel native to the Domo platform. Includes OKLCH color palette, layered shadows, concentric border radius, tabular numbers, and micro-interaction patterns.
Magic ETL dataflows via community-domo-cli — list, get-definition, create, update, run, execution status; JSON DAG actions, transforms, joins. Use when automating dataflows with the community Domo CLI end-to-end. For REST/Java-CLI–first flows or mixed API patterns, use magic-etl instead.
Orchestrates a new Domo custom app build or existing-app takeover from scratch. Loads rules, sequences capability skills, and tracks progress through manifest, data, UI, and publish phases. Use when starting a new Domo app project, taking over an existing app, or normalizing an app to platform best practices.
Orchestrates a new Domo custom app build with Remotion-compatible styling, sample data generation, and automatic demo video creation. Use when you want to build a Domo app AND produce a polished 10-15 second demo video of it in one workflow.
Use for any project where external users need a login to view or interact with Domo dashboards — regardless of what the user calls it. If someone wants clients, customers, or partners to have accounts and see Domo content (their data only, branded, filtered per user), this is the right skill. Covers the full build from scratch — auth, user management, data isolation, and Domo embed integration. Trigger on phrases like 'give clients a login to see dashboards,' 'sell access to our analytics,' 'white-label reporting for customers,' 'client portal with Domo,' 'productize our Domo data,' or 'external users should see their own dashboards.' Skip only if they already have a working portal and need just one specific sub-feature (edit embeds → use edit-embed, JS API filters → use jsapi-filters, programmatic filters → use programmatic-filters).
Create and validate Domo beast modes (calculated fields); MySQL-style formulas, API validation, card vs dataset scope, curl output.
Create and manage Domo card variables (dropdowns, sliders, pills); function templates, control registration, card save flow, curl or CLI.
Toolkit-first AIClient patterns for generation, text-to-sql, and response parsing.
Toolkit-first AppDB document CRUD, query operators, and collection wiring.
Advanced DA CLI usage for scaffolding, generation, and manifest instances.
High-level entry skill for Domo data access. Routes detailed query work to dataset-query.
Query-first dataset access with @domoinc/query including filters, grouping, date grains, and performance constraints.
Use ryuu.js (domo.js) APIs for env, events, navigation, and data calls.
Build Domo custom apps that use FileSets for file storage, upload, download, and AI document search — all via fetch('/api/files/v1/') with no manifest.json entry required. Use this whenever a Domo app needs file upload via FormData/fetch (not domo.post), file download as a blob, file listing via POST /files/search, AI document queries via the /query endpoint, or fileset CRUD. Also use when the user asks about /api/files/v1 vs /domo/files/v1, whether filesets need manifest.json wiring, how to build a file browser in React, or how to make a document Q&A chatbot in Domo.
Convert Google AI Studio-origin apps to static Domo deployment contract.
Convert SSR-heavy Lovable/v0 apps into client-only Domo apps.
Performance rules for query shape, aggregation strategy, and payload minimization.
Use SqlClient for raw SQL against mapped dataset aliases and parse columnar SQL responses safely.
Toolkit client usage for AIClient, AppDBClient, WorkflowClient, and CodeEngineClient.
Start and monitor workflows via WorkflowClient with strict input variable matching.
Reverse-engineered Domo Workspace REST API — add, remove, list, and search workspace content via curl and developer token.
Use community-domo-cli to create, discover, browse, upload, download, and query files in Domo FileSets from the command line. Use this whenever the user needs to interact with Domo FileSets via CLI or automation — including listing filesets, browsing file directories, pulling files locally, pushing binary files, or running AI queries over file content.
Build a professional HTML slide deck from source content and convert it to a pixel-perfect PDF. Covers slide architecture, layout patterns, print-safe CSS, Puppeteer PDF conversion, and quality verification. Use when creating presentation decks, converting documents to slide format, or generating PDF decks from HTML.
Java CLI (domoutil.jar) fallback for CSV upload to Domo; schema derivation, chunked uploads. Use when JSON connector is not suitable.
Domo JSON (no-code) connector via Product API — accounts, streams, executions for REST/JSON API ingestion into Domo.
Create, update, and execute Magic ETL dataflows programmatically via API and CLI. Covers DAG-based JSON dataflow definitions, input/transform/output node wiring, join operations, and execution lifecycle.
**Custom Domo connector authorship** — invoke when someone is writing the JavaScript code that defines a custom Domo connector. Primary signals: questions about authentication.js, dataProcessing.js, or Domo's connector APIs (datagrid, httprequest, auth, metadata). Covers all connector coding topics: auth credential validation, API pagination loops, writeback connectors, column consistency, connector README docs. The user is *building* a connector in Connector Dev Studio, not using a pre-built one. Skip for: pre-built connectors (Salesforce, Postgres, Snowflake), Python connector, Domo App Platform cards/apps, Workflows, Federated Connectors.
Set up Domo's embedded edit experience — external users create, edit, save, and share Domo content via an embedded iframe. Covers Identity Broker, JWT auth, role-based access (Admin/Privileged/Editor/Participant), instance mapping, and edit URL generation. Use for any Domo edit-mode embedding. Not for read-only embeds (use programmatic-filters) or client-side filtering (use jsapi-filters).
Apply runtime filters to embedded Domo dashboards/cards from the host page via the JS API (MessagePort). Covers dynamic filtering, drill events, filter change listeners, iframe resize, pfilter URL params, overrideFilters, and App Studio appData. Use for any client-side Domo embed interaction. Not for server-side programmatic filters (use programmatic-filters).
Control which data each viewer sees in an embedded Domo dashboard/card via server-side programmatic filters and dataset switching. Covers the OAuth → embed token flow, standard filters, SQL filters (OR/BETWEEN/LIKE), per-dataset targeting, datasetRedirects for multi-tenant architectures, and token size limits. Use for any per-viewer, per-role, or per-tenant data restrictions at embed time. Not for client-side JS API filtering (use jsapi-filters).