productivity▌

OMERO is an open-source platform for managing, visualizing, and analyzing microscopy images and metadata. Access images via Python API, retrieve datasets, analyze pixels, manage ROIs and annotations, for high-content screening and microscopy workflows.

Build and debug MCP servers and clients connecting AI systems with external tools and data sources. \n \n Supports TypeScript (Node.js SDK) and Python (FastMCP) for implementing tool handlers, resource providers, and prompt templates with Zod or Pydantic schema validation \n Covers three transport layers: stdio (local), HTTP, and SSE (streaming), with JSON-RPC 2.0 protocol compliance and interactive debugging via the MCP inspector \n Includes scaffolding workflows, schema design patterns, and er

Web frontend development with CloudBase integration, static hosting deployment, and SDK-based authentication. \n \n Covers project structure conventions (src/dist/cloudfunctions directories), modern build systems (Vite, Webpack), and hash routing for static hosting compatibility \n Provides CloudBase Web SDK integration patterns for database, cloud functions, and authentication, with strict rules against implementing login logic in cloud functions \n Includes deployment guidance for CloudBase st

Clean Architecture patterns for Android and KMP projects. Covers module boundaries, dependency inversion, UseCase/Repository patterns, and data layer design with Room, SQLDelight, and Ktor.

List, switch, and configure Railway projects with CLI commands and GraphQL mutations. \n \n List all projects and workspaces, or switch between projects using railway link and project IDs \n Rename projects, enable/disable PR deploys, toggle public/private visibility, and configure bot PR environments via GraphQL mutations \n Extract project IDs from railway status --json to use in update operations \n Composable with status , new , and environment skills for viewing details, creating projects,

Real-time trending topics and hot searches from six major Chinese social media platforms. \n \n Supports six platforms: Weibo, Zhihu, Baidu, Douyin, Toutiao, and Bilibili via simple GET endpoints \n Returns ranked trending topics with metadata including heat scores, URLs, and update timestamps \n Enables cross-platform trend comparison, keyword tracking, and daily trending summaries \n Ideal for monitoring viral content, understanding current discussions, and identifying common topics across pla

Designs and executes chaos experiments with safety controls, runbooks, and resilience testing frameworks. \n \n Covers full chaos workflow: system analysis, hypothesis-driven experiment design, controlled failure injection, and learning loops with documented improvements \n Provides templates and reference guides for infrastructure chaos (servers, networks, zones), Kubernetes-native experiments (Litmus, Chaos Mesh), and game day exercises \n Includes concrete examples using Litmus ChaosEngine, t

Monitor competitor pricing pages and send alerts when prices change. Track discount patterns, promotional cycles, and pricing strategy shifts.

Before running any command, follow ../_shared/preflight.md. Use metadata.version from this file's frontmatter as the reference for Step 2.

Automated secrets scanner that detects hardcoded API keys, tokens, passwords, and sensitive data in codebases. \n \n Scans repositories for leaked credentials and generates findings with severity levels and remediation guidance \n Uses the poltergeist binary to identify secret candidates, then analyzes and confirms each one through parallel subagents \n Stores scan results and findings in a repo-specific cache directory under ~/.ghost/repos/ with git-based versioning \n Orchestrates multi-step w