Skill UI

Automates the feedback-fix-push-wait cycle for Pull Requests. Continuously iterates on the current branch until all CI checks pass and review feedback is addressed. Fetches CI status and review feedback, categorizes issues by priority, auto-fixes blockers, and replies to comments. Requires GitHub CLI authentication.

Classify and prioritize user-defined inboxes, support tickets, feedback, or records using custom criteria. Supports bulk parallel judgments with smoke_test pilot, review queues, and labels without automatic replies or mailbox changes.

Senior Laravel Engineer skill for production-grade, maintainable, and idiomatic Laravel solutions. Covers architecture, validation, Eloquent optimization, API design, authentication, caching, queues, and code review.

A specialized security auditor for Laravel applications. It analyzes code, APIs, and configurations against OWASP standards to detect vulnerabilities such as XSS, IDOR, SQL injection, and misconfigurations. Ideal for reviewing backend logic to ensure robust data protection and authorization.

Drafts privacy policies, terms of service, cookie policies, DPAs, and disclaimers with jurisdiction-aware compliance notes for GDPR, CCPA, LGPD and other regulations, plus review checklists.

Reviews Bitcoin Lightning Network protocol designs, compares channel factory approaches, and analyzes Layer 2 scaling tradeoffs including trust models, on-chain footprint, HTLC/PTLC compatibility, liveness and watchtower support.

This skill performs an autonomous repository-wide audit and fix pipeline. It audits code health, reviews logic, locates issues, explains findings, applies fixes, verifies diffs, and iterates until clean. It requires initial consent but runs hands-free afterwards, suitable for comprehensive code quality improvement and bug resolution.

Logic Lens is an AI-powered code review skill that uses formal logic frameworks to detect bugs, anti-patterns, and security risks beyond linters. It covers 9 risk categories including null handling, type safety, concurrency, and security injection, providing severity-ranked findings with fix suggestions.

This skill identifies logic bugs in code files or functions using semi-formal execution tracing. It follows a structured process: Premises, Trace, Divergence, Trigger, and Remedy. Ideal for reviewing code when specific failures aren't named but correctness is suspected.

A human-in-the-loop studio for iteratively tuning AI outputs or reviewing complex media/prose. It allows users to directly manipulate visual parameters (color, typography, layout) or annotate documents in real-time, moving beyond static comparison grids or vague prompts. Perfect for designers and content creators who need hands-on, visual feedback.

Luna is an automated code reviewer focused on correctness, security, and reliability. She evaluates code against blueprints and checklists, identifying critical vulnerabilities like injection flaws, authentication bypasses, and race conditions. Luna acts as a quality gate, ensuring no unresolved high-risk issues proceed to QA or deployment. She excludes style preferences, focusing only on measurable risks to maintainability and safety.

Skill for triaging and working through Ouroboros GitHub issues and pull requests as a maintainer. Handles backlog cleanup, review, merge readiness, duplicate PRs, and issue disposition using live GitHub state and a defined review boundary.