Business

Create a FiftyOne dataset from a directory of media files (images, videos, point clouds), optionally import labels in common formats (COCO, YOLO, VOC), run model inference, and store predictions. Use when users want to load local files into FiftyOne, apply ML models for detection, classification, or segmentation, or build end-to-end inference pipelines.

Principal SEO Engineer for search-optimized web experiences. Use when implementing technical SEO, optimizing Core Web Vitals, creating structured data, building SEO-friendly architectures, or improving organic search visibility. Covers SSR/SSG strategies, meta tags, schema markup, performance optimization, and evidence-based SEO practices.

Generates Bill of Materials (BOM) from project descriptions for Arduino/ESP32/RP2040 projects. Use when user needs component lists, parts shopping lists, cost estimates, or asks "what parts do I need". Outputs formatted BOMs with part numbers, quantities, suppliers (DigiKey, Mouser, Amazon, AliExpress), and compatibility warnings. Run scripts/generate_bom.py for xlsx/csv export.

Build multi-architecture container images in GitHub Actions. Matrix builds (public repos with native ARM64), QEMU emulation (private repos), or ARM64 larger runners (Team/Enterprise). Uses Podman rootless builds with push-by-digest pattern

Advanced Excel and spreadsheet analytics techniques

Generates race-day pacing and fueling strategies with contingency plans. Use when user has an upcoming race, asks for race preparation advice, or wants a printable race-day plan with segment pacing and fueling schedule.

Explore ideas, validate concepts, and research broadly across technical, business, and market domains. Preliminary phase before discussion-specification-plan-implement-review workflow. Use when: (1) User has a new idea to explore, (2) Need to research a topic deeply, (3) Validating feasibility - technical, business, or market, (4) Learning and exploration without necessarily building anything, (5) User says 'research this' or 'explore this idea', (6) Brain dumping early thoughts before formal discussion. Creates research documents in docs/workflow/research/ that may seed the technical-discussion phase.

Generate optimized Apple App Store metadata recommendations with ASO best practices. Use this skill when analyzing app listings, optimizing metadata (title, subtitle, description, keywords), performing competitive analysis, or validating App Store listing requirements. Triggers on queries about App Store optimization, metadata review, or screenshot strategy.

Maintain NAP (Name, Address, Phone) consistency across all platforms. Use when managing citations, updating business info, or generating schema markup.

Build fast, SEO-optimized static sites with Docusaurus v3.9.2 using Markdown/MDX, SEO metadata, and plugins. Helps with setup, docs, SEO optimization, plugin integration, and GitHub Pages deployment.

Apply systematic problem-solving techniques for marketing challenges including campaign complexity (simplification cascades), creative blocks (collision-zone thinking), recurring campaign patterns (meta-pattern recognition), assumption constraints (inversion exercise), audience scale uncertainty (scale game), and dispatch when stuck. Techniques derived from proven problem-solving frameworks adapted for marketing execution.

Optimize acquisition channels based on GTM motion. Use when improving app store listing, LinkedIn profile, SEO, or any active channel. Reads 15.go-to-market.md to activate relevant modules.

Create and manage system design diagrams with Mermaid. Use for architecture, flows, data models, and business logic visualization.

Understand business logic vulnerabilities in AI code including race conditions, integer overflow, and calculation errors that pass functional tests but create security holes. Use this skill when you need to learn about race conditions in AI code, understand integer overflow vulnerabilities, recognize business logic security flaws, or identify calculation errors. Triggers include "race conditions", "business logic vulnerabilities", "integer overflow", "race condition AI", "flash sale security", "concurrent access", "negative totals", "calculation errors".

Strategic planning for high-converting e-commerce product images - Amazon, Shopify, website listings

Java 21 LTS development specialist covering Spring Boot 3.3, virtual threads, pattern matching, and enterprise patterns. Use when building enterprise applications, microservices, or Spring projects.

Enterprise-level Go architecture patterns including clean architecture, hexagonal architecture, DDD, and production-ready application structure.

Systematically validate business ideas with proven scoring frameworks. Produces comprehensive 2,000-3,000 word validation report with actionable recommendations and go/no-go decision.

Apply Domain-Driven Design patterns. Use when modeling complex business domains, defining bounded contexts, or designing aggregates. Covers entities, value objects, and repositories.

Comprehensive Firebase development guidance for GCP-hosted applications. Covers Firestore database operations (CRUD, queries, transactions, data modeling), Cloud Functions (1st and 2nd generation, TypeScript and Python, all trigger types), Firebase CLI operations, emulator setup and data persistence, security rules (Firestore and Storage), authentication integration, hosting configuration, and GCP service integration. Use when working with Firebase projects, deploying Cloud Functions, querying Firestore, setting up triggers (Firestore, Auth, Storage, HTTP, Callable, Scheduled, Pub/Sub), managing security rules, configuring hosting rewrites/headers, managing secrets, or integrating with GCP services like BigQuery and Cloud Tasks. Triggers include firebase, firestore, cloud functions, firebase functions, firebase hosting, firebase auth, firebase storage, firebase emulator, firebase deploy, firebase init, firebase rules, callable function, scheduled function, onDocumentCreated, onRequest, onCall, onSchedule.