Skill UI

Claude generates comprehensive security audit reports by analyzing system and application security data, identifying vulnerabilities, checking compliance, and suggesting remediation steps via the /audit-report command.

Generates realistic users, products, orders, or schema-driven data via the test-data-generator plugin for populating test databases, simulating user behavior, and creating fixtures for automated or API testing.

Sets up production-grade Genkit infrastructure via Terraform, covering Firebase Functions, Cloud Run, GKE, AI monitoring, and CI/CD wiring so deployments run securely at scale.

Automates Geocodio operations via Rube MCP/Composio, covering connection setup, tool discovery, execution patterns, and key pitfalls like schema compliance, session reuse, and pagination.

Automate Geokeo operations through Composio’s Geokeo toolkit using Rube MCP, ensuring tool discovery, connection checks, and schema-compliant executions before running workflows.

Use Rube MCP with Composio’s Getform toolkit to discover, connect, and run schema-aware Getform operations; always search tools first, verify active connections, and wrap executions in memory-aware multi-tool calls for reliable automation.

Validates Vertex AI Agent Engine GitHub Actions workflows, enforcing Workload Identity Federation, least-privilege IAM, OIDC permissions, and security scanning so GCP deployments stay automated and secure.

Automates Giphy operations via Composio's Giphy toolkit running through Rube MCP, guiding you to discover tool schemas, manage connections, and execute workflows safely with session reuse and schema compliance.

Provides a workflow for automating GitHub Gist operations by discovering Rube MCP tool schemas, ensuring active connections, and invoking Composio toolkit calls consistently with session reuse and schema compliance.

Documents advanced Git workflows—worktrees, bisect, interactive rebase, hooks, recovery tactics, aliases, and anti-patterns—so developers can manage parallel branches, pinpoint regressions, and enforce commit hygiene in complex repos.

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

This skill automates the complete software development workflow: staging all changes, creating a structured conventional commit message, and pushing the results to the remote repository. It is ideal for developers who have completed a feature or batch of changes and need to reliably share their work while adhering to standard Git best practices.