web-search-patterns
Advanced Gemini-powered web search plugin with smart caching, subagent context isolation, and automated query optimization.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
173 skills found
Advanced Gemini-powered web search plugin with smart caching, subagent context isolation, and automated query optimization.
Intelligent RAG-based gateway that routes coding tasks to specialized Swift/iOS expertise without context window bloat. Uses MCP to retrieve precise patterns from 100+ indexed skills.
Programmatically manage OmniFocus tasks and projects. Supports creation, querying, updates, and completion tracking across all OmniFocus versions using native automation and fallback methods.
Emergency recovery suite for Vercel-hosted projects. Manage deployment rollbacks, database migration reverts, cache invalidation, and health verification workflows.
Automated migration workflow from legacy Crowi (Express/Swig) to modern architecture (Next.js 16/Fastify/ts-rest).
Automates the lifecycle management of ephemeral Neon PostgreSQL databases for testing, CI/CD, and rapid prototyping workflows.
Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.
Compiler-accurate semantic code analysis via LSP. Navigate definitions, references, and implementations, perform workspace-wide renames, and get file outlines for Python, Rust, Go, TypeScript/JS, and Java.
Data Analysis Specialist for EDA, statistical modeling, SQL queries, and Python-based visualization. Turn raw datasets into actionable insights through rigorous quantitative methods.
Strategic test data generation, management, and privacy compliance for scalable, secure, and realistic quality engineering workflows.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.