Grepai Watch Daemon

Use when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG). Examples: 'design a RAG system for our docs', 'what chunk size should I use for this corpus', 'evaluate my retriever against ground truth'. NOT for general LLM cost tuning (use llm-cost-optimizer) or agent loops over retrieval (use agenthub).

Build modern Shiny dashboards and applications using bslib (Bootstrap 5). Use when creating new Shiny apps, modernizing legacy apps (fluidPage, fluidRow/column, tabsetPanel, wellPanel, shinythemes), or working with bslib page layouts, grid systems, cards, value boxes, navigation, sidebars, filling layouts, theming, accordions, tooltips, popovers, toasts, or bslib inputs. Assumes familiarity with basic Shiny.

Expert guidance for Salesforce DX development with modern tooling, source-driven development, and CI/CD best practices

Guides the agent through general Capacitor app development topics. Covers core concepts (native bridge, plugins, web layer), Capacitor CLI usage, app configuration (capacitor.config.ts, splash screens, app icons, deep links), platform management (Android, iOS, Electron, PWA), edge-to-edge and safe area handling on Android, live reload setup, storage solutions, file handling, security best practices, CI/CD references, iOS package managers (SPM, CocoaPods), and troubleshooting for Android and iOS. Do not use for creating new Capacitor apps, Capacitor plugin APIs, creating Capacitor plugins, in-app purchases, upgrading Capacitor versions, Cordova or PhoneGap migration, or framework-specific patterns (Angular, React, Vue).

Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and filters that work without a server.

Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.