Skill UI

Automate Composio Campaign Cleaner operations via Rube MCP, always starting with `RUBE_SEARCH_TOOLS` to discover the current schemas, connecting the toolkit, and invoking `RUBE_MULTI_EXECUTE_TOOL` with schema-compliant arguments and session handling.

Optimize content to be cited and surfaced by AI search engines such as ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini. Covers AEO/GEO, LLM visibility, agent readiness, citation measurement, and AI attribution.

This comprehensive framework allows users to validate and test both crypto and traditional trading strategies against extensive historical market data. It calculates essential performance metrics (Sharpe Ratio, Sortino Ratio, Max Drawdown), simulates trade execution, generates equity curves, and includes advanced parameter grid search optimization tools for robust strategy validation.

Automate Benchmark Email workflows via Rube MCP and the Composio toolkit by always searching for current schemas, verifying an active Benchmark Email connection, then executing schema-compliant tools through RUBE_MULTI_EXECUTE_TOOL.

Automates Booqable operations through Rube MCP’s Composio toolkit, guiding users to search available tools first, validate the active connection, and orchestrate schema-compliant executions for rental or inventory workflows.

Automate Botstar via Composio’s Rube MCP by discovering current tool schemas, managing Botstar connections, and executing workflows through RUBE_SEARCH_TOOLS and RUBE_MULTI_EXECUTE_TOOL while respecting schema constraints.

Automates payment workflows through the Composio platform by routing Stripe-compatible tooling via the Rube MCP server, letting operators manage customers, subscriptions, payment methods, balance transactions, and search queries in one unified interface.

Automate Browseai workflows by routing commands through Composio’s Browseai toolkit via the Rube MCP connector, ensuring you always search for current tool schemas before executing multi-step operations.

Automate Chatfai operations through the Rube MCP connector by always discovering tool schemas, validating the chatfai connection, and invoking RUBE_MULTI_EXECUTE_TOOL with schema-compliant arguments and memory placeholders.

This advanced workflow uses Claygent AI to perform deep research on target companies by scraping websites. It extracts critical data points such as funding rounds, tech stacks, and potential pain points. These insights are then leveraged to generate highly personalized, human-sounding email openers at scale, ensuring high relevance for targeted outreach campaigns.

Guides researchers through ten structured ideation frameworks to move from vague curiosity to actionable, defensible research proposals, supporting exploration of new problem spaces, pivoting projects, and surfacing high-impact angles.

Chroma is an open-source, AI-native embedding database designed for building sophisticated LLM applications. It allows users to store high-dimensional embeddings and associated metadata, facilitating powerful vector search and full-text filtering. Ideal for implementing Retrieval-Augmented Generation (RAG) systems, semantic search, and document retrieval in local or self-hosted environments, making it perfect for open-source AI projects and prototyping.