mobile-android-design
Master Material Design 3 and Jetpack Compose for native Android UI development. Build adaptive, accessible interfaces using Google's latest standards.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
373 skills found
Master Material Design 3 and Jetpack Compose for native Android UI development. Build adaptive, accessible interfaces using Google's latest standards.
Standardized Java development guidelines including naming conventions, exception handling, Spring Boot best practices, and concurrency patterns.
Browser-based QA automation for web applications. Performs automated site audits, visual regression testing, user flow verification, and issue tracking with real-time browser snapshots.
Reference for generating Apple Final Cut Pro FCPXML files, covering timeline structures, media assets, effects, and project automation for FCP 10.4+.
Efficiently extract, filter, and transform specific fields from JSON files using jq, saving up to 95% of context window usage compared to reading full files.
Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.
Best practices for building integrations with NetBox REST and GraphQL APIs. Optimize performance, authentication, and architectural patterns for NetBox automations.
A command-line tool for managing, building, and deploying Agent Skills as OCI artifacts within the Agent Skills ecosystem.
Navi programming language expert. Use for writing Navi code, debugging, implementing concurrency, handling error states, and managing Navi's type system or module integrations.
Enforce epistemic quality in RAG systems with pre-ingestion verification. Ensures documents are properly qualified and structured before knowledge base entry.
Injects entropy into decision-making using Tarot card readings when user prompts are vague, casual, or require creative tie-breaking.
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.