Skill UI

This guide details the recommended pattern for managing per-project plugin settings and state within a development environment. Plugins store their configuration in a dedicated `.claude/plugin-name.local.md` file. This file utilizes YAML frontmatter for structured settings (like enabling flags, retry counts, and parameters) and a Markdown body for additional context or instructions. It provides techniques for reading these settings using Bash hooks, commands, and agents.

This skill provides guidance and patterns for generating pairwise test cases. Pairwise testing is an advanced testing technique used in software quality assurance (QA) to ensure that every combination of two input parameters is tested. It is highly effective for complex systems with multiple interacting variables, helping developers improve test coverage efficiently while minimizing the overall number of required test cases.

Automates the setup of ML experiment tracking with MLflow or W&B, configures the environment, initializes servers, and supplies snippets for logging parameters, metrics, and artifacts so runs stay reproducible and easy to compare.

Automate Stack Exchange tasks via Composio’s Rube MCP toolkit by discovering up-to-date tool schemas with RUBE_SEARCH_TOOLS, validating connections through RUBE_MANAGE_CONNECTIONS, and orchestrating executions with RUBE_MULTI_EXECUTE_TOOL and its required memory/session parameters.

Automate Starton blockchain workflows through Composio’s Rube MCP, always fetching tool schemas, validating the Starton connection, and executing schema-compliant commands via RUBE_MULTI_EXECUTE_TOOL while managing sessions and memory parameters.

Automates Stormglass IO operations through Composio’s Rube MCP workflow, guiding users to discover current tool schemas, manage connections, and run multi-step executions with schema-compliant parameters.

Automates the end-to-end training of machine learning models by analyzing datasets, selecting suitable algorithms, tuning parameters, performing cross-validated training, and emitting performance metrics plus a saved model artifact.

Guides Claude to automatically tune machine learning model hyperparameters via grid, random, or Bayesian search, generating runnable Python code, executing validations, and reporting best configurations plus performance metrics for accuracy or other goals.

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.

This skill provides a comprehensive guide to implementing robust API versioning strategies, supporting methods like URL path, custom headers, and query parameters. It covers building backward compatibility layers, adding standard deprecation notices (e.g., Sunset Header), and utilizing OpenAPI specifications to detect breaking changes, ensuring stable API evolution over time.

Automate Zoho CRM tasks through Composio’s Rube MCP toolkit: connect via RUBE_MANAGE_CONNECTIONS, search modules, and run workflows for searches, record creation, updates, conversions, and tagging with schema-aware parameters.

Run targeted file path traversal assessments to find directory traversal and LFI vulnerabilities across web parameters, verify exploitation payloads, and document sensitive files exposed via automated fuzzing and manual checks.