Skill UI

AgentFlow transforms your existing Kanban board (Asana, GitHub, Linear) into a self-managing, autonomous AI development pipeline. It orchestrates multiple AI agents through defined stages (Backlog to Done), enforcing deterministic quality gates, performing adversarial reviews, and tracking costs—all visible within your existing project management UI. It provides crash-proof execution and full observability for complex software development lifecycles.

AgentPhone is an API-first platform designed for developers building AI agents with advanced telephony capabilities. It allows agents to manage phone numbers, make/receive voice calls, and handle SMS messages. Developers can utilize hosted mode for simple AI interactions or webhook mode for custom, complex logic, making it ideal for building sophisticated customer support bots or virtual assistants.

Automates creation, querying, editing, and bulk operations for Feishu Bitable apps, including field, view, and record management with guidance on required formats, batch limits, and concurrency controls.

Performs evidence-based audits of ECC automations, surfaces live/broken/overlapping jobs/hooks/connectors, and recommends keep/merge/cut/fix-next actions before rewriting anything.

Generates complete, runnable Python scripts utilizing the python-pptx library to automatically build polished PowerPoint presentations. This skill transforms a topic brief into a structured slide deck script, ensuring real content, logical flow, and a working save function, perfect for demos, reports, or educational materials.

Detects when a skill's frontmatter block lacks its closing delimiter so editors can fix the metadata formatting before parsing fails.

Use Chrome DevTools MCP to give the agent visibility into the real browser so you can inspect DOM, console logs, network traffic, screenshots, and performance data while building, debugging, or validating UI behavior that runs in a browser.

Automates browser workflows with persistent page state, letting you script navigation, form filling, screenshots, scraping, or tests while keeping context across runs.

This comprehensive guide details how to correctly implement Firebase App Check for Flutter applications. It covers selecting platform-specific attestation providers (like Android Play Integrity and Apple DeviceCheck), configuring debug tokens, handling token refresh, and setting up enforcement mechanisms. Use this skill to significantly harden your app's security against abuse, ensuring only legitimate clients can access protected backend resources.

This comprehensive skill guides developers through integrating and optimizing Firebase Cloud Firestore within Flutter applications. It covers best practices for data modeling, performing advanced CRUD operations, setting up real-time listeners, executing atomic transactions, and designing for massive scale. Learn how to implement robust querying, cursor-based pagination, and secure your data structure effectively.

A comprehensive guide on integrating Firebase Data Connect into Flutter applications. Learn how to define schemas using GraphQL, implement typed queries and mutations, set up real-time listeners, handle offline scenarios, and apply best practices for performance and robust security within a mobile environment.

This comprehensive guide details how to correctly implement and manage Firebase Realtime Database within Flutter applications. It covers critical best practices including data modeling (using flattened JSON trees), utilizing real-time listeners, ensuring offline persistence, performing atomic transactions, and implementing security rules. Ideal for applications requiring extremely low-latency synchronization and constant state monitoring.