Skill UI

This guide details how to configure Windsurf for professional enterprise deployment, covering critical security and governance features. Key areas include setting up SSO/SAML authentication, defining role-based permissions (Owner, Admin, Member), establishing organization-wide AI policies and data controls, managing user seats, and implementing comprehensive audit trails for compliance.

This comprehensive guide offers detailed steps to optimize the Windsurf IDE experience. It addresses common performance bottlenecks such as slow indexing, high memory consumption, and inefficient AI context building (Cascade). Users will learn best practices for configuring exclusion patterns, managing focused workspaces, and tuning IDE settings for maximum development efficiency.

Automate Worksnaps processes through Composio’s Rube MCP by discovering current tool schemas, managing toolkit connections, and executing compliant workflows with memory-aware multi-tool calls.

Orchestrates Yelp workflows via Rube MCP and Composio by walking through tool discovery, connection validation, schema-compliant execution, memory/session practices, and pagination-aware multi-tool calls.

Automates Zoominfo operations through Composio Rube MCP, guiding discovery, connection checks, and execution patterns with mandatory searches before every tool use.

Guides orchestrating Zyte API actions through the Composio Zyte API toolkit via Rube MCP; emphasizes searching tools first, establishing an active connection, and executing schema-compliant workflows with dedicated session and memory handling.

Detects system CPU, GPU, memory, and disk availability before heavy scientific tasks, writing `.claude_resources.json` with strategic recommendations (parallelism, out-of-core, GPU acceleration) so analysts choose appropriate compute approaches.

Polars is a blazing fast in-memory DataFrame library based on Apache Arrow that replaces pandas for 1-100GB workloads, offering expression-based lazy execution, parallel operators, and rich I/O for ETL pipelines.

Hierarchical Agent Memory (HAM) scopes Claude Code agent context by generating per-directory CLAUDE.md files, tracking token savings, and surfacing analytics via a dashboard so multi-folder projects avoid repeated full scans.

A comprehensive guide for creating a consistent, credible, and highly defensible suite of investor-facing materials. This tool ensures alignment across pitch decks, financial models, one-pagers, and memos by enforcing a single source of truth for all metrics, assumptions, and use of funds, significantly boosting fundraising credibility.

This comprehensive profiler provides systematic performance analysis for modern applications built with Node.js, Python, and Go. It detects critical bottlenecks across CPU, memory, and I/O dimensions. Key features include generating flamegraphs, analyzing bundle sizes, optimizing database queries (N+1 detection), and running rigorous load tests using k6 and Artillery. It mandates before-and-after measurements to ensure verifiable performance improvements.

A comprehensive expert for deploying and scaling AI agents using AWS Bedrock AgentCore. This guide covers the full lifecycle of agent management, including service selection (Gateway, Runtime, Memory, Identity, etc.), deployment patterns, credential management, and advanced integration workflows required for enterprise-scale AI solutions.