Skill UI

This skill provides a comprehensive framework for performing end-to-end UI testing and verification on Android emulators. It guides users through systematic processes including device calibration, UI element discovery using uiautomator, performing complex interactions (tap, swipe, input), and robust reporting via visual screenshots and logcat analysis. Ideal for ensuring the stability and functional correctness of React Native or native Android applications.

AgentMail provides a comprehensive REST API email infrastructure specifically designed for AI agents. Agents can provision dedicated inboxes, send and receive emails, handle external service verifications (e.g., GitHub signups), and manage real-time inbound webhooks. The system includes a 'karma' mechanism to ensure high domain reputation and prevent abuse, making it reliable for complex automation workflows.

Guides an agent to critically review a written implementation plan, execute every outlined step with required verifications, and hand off completion via finishing-a-development-branch procedures, ensuring blockers prompt clarification.

Systematically verifies suspected security bugs to eliminate false positives and document evidence, guiding each finding through the standard or deep verification path and producing TRUE POSITIVE or FALSE POSITIVE verdicts.

Parallel Web Research skill orchestrates Parallel Chat and Extract APIs to search the internet, perform deep intelligence work, and craft cited summaries, with model controls, JSON outputs, and citation verification for market, news, technical, and general queries.

Creates isolated git worktrees with prioritized directory discovery, ignore verification, dependency bootstrapping, and clean baseline tests so feature branches launch safely alongside ongoing work.

Framework ensuring no completion claims are made until fresh verification commands are run and their outputs read, so tests/builds/regressions are proven before anyone says the work is done.

Automates the final pre-release verification by running documentation, quality, testing, and security gates through the Centinela QA agent before shipment, then records results and verdict in docs for each version.

Handles QA code review reports by prioritizing critical and warning findings, implementing fixes with tests, running verification checklists, and preparing re-verification reports via the Forja Dev agent.

An enterprise-grade agent designed to manage the entire lifecycle of skills within an ecosystem. It handles installation, deep validation (including 10 security checks), registration, and post-installation verification. Features include automatic repair, rollback, dry-run simulation, and a comprehensive status dashboard, ensuring maximum redundancy and system integrity.

This skill orchestrates the entire coding lifecycle as a state machine, ensuring tasks proceed from issue intake through implementation, structured review, deployment, and final acceptance verification. It enforces a rigorous 'Definition of Done' (DoD) proof, moving beyond simple code changes. Ideal for complex feature development requiring structured handoffs and explicit verification evidence.

This skill manages complex coding tasks from initial implementation through testing, review incorporation, deployment, and final runtime verification. It ensures the task meets explicit Definition of Done (DoD) criteria iteratively, minimizing the need for manual prompting across multiple development stages.