Skill UI

This skill provides comprehensive guidance on deploying Expo applications to production across multiple platforms, including iOS, Android, and Web, utilizing Expo Application Services (EAS). It covers the full lifecycle, from building and configuring profiles (eas.json) to submitting builds to App Store Connect, Google Play, and TestFlight. Furthermore, it details deploying web bundles, managing app versions, optimizing App Store metadata, and implementing automated CI/CD workflows.

Automates Expofp workflows by orchestrating Composio’s toolkit via the Rube MCP interface, guiding you through discovering current schemas, validating connections, and invoking multi-tool executions with session-aware coordination.

Automates Figma workflows through Rube MCP and Composio, covering file inspection, component/token extraction, exports, comments, and team browsing while guiding schema discovery before each run.

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.

Scans infrastructure-as-code, application, and system configurations via the security-misconfiguration-finder plugin to expose vulnerabilities and compliance gaps, enabling proactive remediation before deployment.

A comprehensive guide to handling external API rate limits (429 errors) when using Firecrawl. This skill demonstrates advanced techniques like exponential backoff with jitter, request queuing using p-queue, and proactive throttling methods. It ensures resilient and efficient API integration for large-scale scraping projects.

This guide provides production-ready patterns for integrating the Firecrawl SDK in TypeScript and Python. It covers essential architectural best practices, such as implementing singleton clients, typed service wrappers, automatic retries with exponential backoff, concurrency management, and robust response validation using Zod. Ideal for building scalable, reliable web scraping services.

This skill manages the complete lifecycle of Fireflies.ai meeting transcripts. It allows users to fetch raw data, export in various formats (JSON, CSV, SRT), sanitize sensitive personal information (PII Redaction), and enforce data retention policies to ensure compliance with regulations like GDPR and CCPA. Ideal for data governance and compliance workflows.

A comprehensive guide and implementation for managing rate limits, exponential backoff, and request queuing when interacting with the Fireflies.ai GraphQL API. This skill ensures robust API calling by detecting 429 errors, handling per-plan quotas, and implementing reliable retry mechanisms.

This skill provides comprehensive automation for content workflows using the Gamma API. It allows users to generate multiple variations from a single template, support batch processing, and specify export formats (PDF, PPTX, PNG). Furthermore, it handles the retrieval of final exported files and configures detailed sharing permissions, making it ideal for structured, large-scale content distribution.

A comprehensive mechanism for managing data privacy, retention, and compliance when integrating with Gamma APIs. This skill guides users on handling Personally Identifiable Information (PII), sanitizing user content and logs, securely archiving exported files (e.g., via S3), and implementing precise data retention policies to meet standards like GDPR and CCPA. Essential for building compliant, production-ready applications.

This skill provides a comprehensive guide and multiple code examples (cURL, Node.js, Python) for generating presentations using the Gamma API. It implements the standard asynchronous 'Generate-Poll-Retrieve' pattern: first POST to create the generation job, then GET to poll the status until complete, and finally retrieve the viewable and exportable URLs (PDF/PPTX).