omi
Official@basedhardware · United States of America
Open Source AI Wearables
Agent Skills by omi
Showing 23 vetted skills indexed across 2 GitHub repositories.
mobile-app-flows
Explore and verify the Omi Flutter mobile app's UI flows using agent-flutter commands.
desktop-app-flows
Explore and verify the Omi macOS desktop app's SwiftUI flows via automation bridge commands.
pr-automation
Generate PR descriptions, validate requirements, and link issues automatically.
agent-modes
Guide developers in selecting Cursor agent modes for coding tasks.
changelog
Parse conventional commits and update CHANGELOG.md with categorized markdown entries.
agent-review
Reviews agent-generated code for bugs and quality issues before merging.
docs-automation
Detect code changes and generate MDX API references and architecture diagrams.
omi-api-integration
Guide Omi API integration with OAuth, MCP, and webhooks.
omi-plugin-development
Automate Omi plugin development with webhook patterns, chat tools, and OAuth flows.
issue-triage
Score and prioritize GitHub issues using a triage formula and map results to Omi layers.
self-improvement
Analyze GitHub PRs, issues, and conversations to update rules and skill definitions.
omi-flutter-patterns
Guide Flutter app development for Omi with BLE integration and Provider state management.
omi-firmware-patterns
Guide firmware engineers implementing BLE services and audio codecs for Omi devices.
omi-backend-patterns
Guide backend engineers in implementing Omi backend patterns with FastAPI, LangGraph, Firestore, Pinecone, and Redis.
context-optimization
Optimize context usage for AI agents with concise references and controlled prompts.
browser-automation
Automate browser tasks for testing, design-to-code, accessibility auditing, and visual debugging.
diagram-generation
Generate Mermaid diagram code from textual prompts for architectures and data flows.
debug-mode
Guide structured debugging workflows for hypothesis generation, instrumentation, and analysis.
rule-updater
Parse frontmatter and update Cursor rule files from PRs and issues.
local-dev
Launch a Python backend and macOS app in local development environments.
lottie
Add and manage Lottie animations in React using LottieFiles.
abm-landing-page
Generate personalized ABM landing pages from LinkedIn profiles.
posthog
Query PostHog to derive product analytics insights and dashboards.
Frequently Asked Questions About omi
FAQPage SchemaWhat specific tasks can engineers perform using Omi patterns?▼
Engineers can implement BLE services for wearable hardware, manage complex state in Flutter applications, and deploy scalable backend architectures using FastAPI, Firestore, and Pinecone vector databases for high-performance data retrieval.
Which technical personas benefit most from these resources?▼
These resources are designed for firmware engineers working on wearable hardware, mobile developers building Flutter-based interfaces, and backend engineers responsible for integrating OAuth2, webhooks, and real-time data persistence layers.
What are the primary dependencies for implementing Omi backend patterns?▼
Implementation requires a stack comprising FastAPI for service endpoints, Firestore for document storage, Pinecone for vector-based search, and Redis for caching, alongside OAuth2 configurations for secure service-to-service communication.