productivity▌

Session-aware REPL for NanoClaw v2 with persistent markdown storage and dynamic skill loading. \n \n Eight core commands: model switching, skill loading, session branching, cross-session search, history compaction, and export to multiple formats (md/json/txt) \n Markdown-backed sessions enable persistent state, version control compatibility, and human-readable session history \n Designed for zero external runtime dependencies and deterministic, local command handling to maintain simplicity and p

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

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.

Automated analysis of 200+ scientific data formats with format-specific insights and quality assessment. \n \n Supports six major scientific domains: chemistry, bioinformatics, microscopy, spectroscopy, proteomics, and metabolomics, with 60+ formats per category \n Auto-detects file type and generates detailed markdown reports including metadata extraction, statistical summaries, data quality metrics, and visualization recommendations \n Includes reference documentation for each format covering

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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

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

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,

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.

Best practices guide for writing efficient, type-safe GraphQL operations and organizing them with fragments. \n \n Covers queries, mutations, subscriptions, and fragments with naming conventions, variable syntax, and directive usage \n Emphasizes core principles: request only needed fields, name all operations, use variables instead of hardcoded values, and include id fields for cacheability \n Recommends colocating fragments with components and using @include / @skip directives for conditional