Skill UI

Automate Cloudpress operations using the Rube MCP-connected Composio toolkit by discovering tools through RUBE_SEARCH_TOOLS, validating connections, and executing schema-compliant workflows with RUBE_MULTI_EXECUTE_TOOL while reusing session context.

This skill automatically fetches the latest official documentation for programming libraries and frameworks (such as React, Next.js, or Prisma) via the Context7 API. It is essential for developers who require accurate, up-to-date technical reference material to ensure their code adheres to the most current best practices.

Sets up and optimizes Cursor codebase indexing so your repo becomes searchable via semantic queries, improves AI context awareness, and powers @codebase features for faster navigation and chat-assisted coding.

Provides a senior migration architect workflow that researches legacy codebases, maps bounded contexts, and writes Strangler Fig-based modernization roadmaps so other teams can incrementally reshape systems.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

Implements schema.org JSON-LD across webpages so search engines grasp content intent and serve rich results like FAQs, breadcrumbs, and products, with validation checklists and contextual guidance.

Generates and reviews Odoo XML definitions for Form, List, Kanban, Search, Calendar, and Graph views across versions 14–17, handling visibility, groups, domains, contexts, and widget rules with migration-aware syntax so you can deliver production-ready view XML.

Guide to using Splunk Search Processing Language to craft correlation searches that aggregate logs, apply thresholds, detect anomalies, and enrich context so SOC analysts can spot brute-force, lateral movement, exfiltration, and other threats.

Automate Splunk ES threat intelligence enrichment by ingesting external feeds, normalizing IOCs into KV Store collections, and running lookup-based correlation searches so SOC analysts get immediate context from multiple sources.

This interactive guide provides a comprehensive, step-by-step tour of the ContextMatic MCP server for developers. It explains how the server acts as a live, version-aware grounding layer for AI-assisted coding, solving issues with outdated model training data. The tour demonstrates core tools like API discovery, model searching, and endpoint lookup, ensuring users understand how to leverage the server for accurate, project-specific integration.

This skill analyzes the implementation gap by comparing approved feature requirements against the existing codebase, architecture, and context. It helps identify missing capabilities, potential integration challenges, and necessary technical research areas. The output provides multiple viable implementation options and a comprehensive analysis report, guiding the transition from requirements definition to technical design.

This skill automates the process of transforming high-level product specifications, requirements, and design documents into a detailed, actionable, and executable task plan. It follows a multi-stage workflow, including context loading, parallel research, and two rigorous review gates (Task Plan Review and Task-Graph Sanity Review). The output provides properly sized (1-3 hours), logically sequenced tasks, ensuring every requirement is covered and dependencies are explicitly managed, dramatically improving project planning accuracy.