Skill UI

Automate Fluxguard workflows via Rube MCP and Composio tooling by always discovering tools, validating the Fluxguard connection, and executing schema-compliant commands (including memory/session handling) for reliable operational automation.

Orchestrates Composio’s Grist toolkit via Rube MCP by always discovering current tool schemas, ensuring active Grist connections, and executing schema-compliant workflows with memory, session reuse, pagination, and bulk tooling safeguards.

This skill acts as an expert architect for scaffolding robust, production-ready applications using TypeScript. It generates complete, structured project templates for various types, including Next.js full-stack apps, React/Vite SPAs, and Node.js APIs. It incorporates modern tooling like pnpm, Vite, and Next.js features, ensuring type safety, proper dependency management, comprehensive testing setups, and adherence to current industry best practices. Use it to accelerate project setup and maintain scalable architecture.

A comprehensive guide and expert resource for mastering Julia 1.10+ development. Covers advanced topics including multiple dispatch, performance optimization, type stability, and modern tooling. Ideal for building production-ready applications in scientific computing, machine learning, data science, and web development.

Step-by-step instructions for automating Lastpass workflows through Composio’s Rube MCP, covering service discovery, connection validation, schema compliance, and execution patterns with the MCP tooling.

Loki Mode is a multi-agent autonomous startup system that progresses PRD to production with zero human intervention, orchestrating research-enhanced components such as OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, and agent tooling while enforcing RARV reasoning and efficiency tracking.

Defines MCP server tooling with file search, query execution, resource endpoints, prompt templates, and transport configurations alongside a client setup example for streamlined project automation.

Automated guidance for model explainability tooling within ML training workflows, giving step-by-step best practices, production-ready code, and validation for experiments whenever users mention explainability tool needs.

Automates guidance for deploying machine learning models with quantization, covering tooling, best practices, and production readiness for inference, MLops, and monitoring tasks.

Guides setting up modern Python projects with uv, ruff, ty, pytest, prek, and security checks, covering initialization, pyproject configuration, dependency and tool management, quick-start scripts, full project layout, and migrations from legacy tooling.

A comprehensive skill for building and maintaining efficient, scalable monorepositories. This involves strategies for enabling code sharing, ensuring consistent tooling across multiple packages and applications, and managing atomic changes. Use this skill for setting up new monorepo architectures, migrating existing repositories, and optimizing complex CI/CD pipelines.

Automates Neon serverless Postgres workflows via the Composio MCP, letting you list projects and branches, inspect databases, manage roles, and retrieve connection URIs for pipelines and tooling integrations.