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Found 1,576 Skills
Automatically crawl financial statements and operational disclosures (production volume, costs, capital expenditures) of mining companies from the web, back-calculate the fundamental explanations and interval thresholds (e.g., 1.2/1.7) of the "Mining Stock/Metal Price Ratio", and output reproducible valuation decomposition (cost factor / leverage factor / multiple factor / dilution factor).
Locate parking garages, lots, and street parking near your destination using Camino AI's location intelligence with AI-powered ranking.
DigitalOcean platform overview for account setup, projects, tooling (Control Panel, doctl, API, Terraform), and service selection across compute, storage, databases, networking, management, and teams. Use when onboarding or planning DigitalOcean usage.
Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.
Production-grade mobile app development with Swift (iOS), Kotlin (Android), React Native, and WebView patterns, including UI/UX, navigation, state management, networking, local storage, push notifications, and App Store deployment.
Expert patterns for porting desktop games to mobile including touch control schemes (virtual joystick, gesture detection), UI scaling for small screens, performance optimization for mobile GPUs, battery life management, and platform-specific features. Use when creating mobile ports or cross-platform mobile builds. Trigger keywords: TouchScreenButton, virtual_joystick, gesture_detector, InputEventScreenTouch, InputEventScreenDrag, mobile_optimization, battery_saving, adaptive_performance, MOBILE_ENABLED.
Expert blueprint for real-time strategy games including unit selection (drag box, shift-add), command systems (move, attack, gather), pathfinding (NavigationAgent2D with RVO avoidance), fog of war (SubViewport mask shader), resource economy (gather/build loop), and AI opponents (behavior trees, utility AI). Use for base-building RTS or tactical combat games. Trigger keywords: RTS, unit_selection, command_system, fog_of_war, pathfinding_RVO, resource_economy, command_queue.
Production-grade mobile app development and architecture for iOS (Swift/SwiftUI/UIKit), Android (Kotlin/Jetpack Compose), and cross-platform (React Native, Flutter, Kotlin Multiplatform, WebView). Use for navigation, state, networking, offline storage, auth/passkeys, push, performance, testing, CI/CD, and App Store/Play release readiness.
Analyze Flutter and mobile applications for OWASP Mobile Top 10 (2024) security compliance. Use this skill when performing security audits, vulnerability assessments, or compliance checks on mobile applications. Performs automated scans for hardcoded secrets, insecure storage, weak cryptography, network security issues, and provides detailed remediation guidance.
PostgreSQL-based semantic and hybrid search with pgvector and ParadeDB. Use when implementing vector search, semantic search, hybrid search, or full-text search in PostgreSQL. Covers pgvector setup, indexing (HNSW, IVFFlat), hybrid search (FTS + BM25 + RRF), ParadeDB as Elasticsearch alternative, and re-ranking with Cohere/cross-encoders. Supports vector(1536) and halfvec(3072) types for OpenAI embeddings. Triggers: pgvector, vector search, semantic search, hybrid search, embedding search, PostgreSQL RAG, BM25, RRF, HNSW index, similarity search, ParadeDB, pg_search, reranking, Cohere rerank, pg_trgm, trigram, fuzzy search, LIKE, ILIKE, autocomplete, typo tolerance, fuzzystrmatch
Use when asked to visualize sales territories, coverage areas, service regions, or geographic boundaries on interactive maps.
Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity search performance.