Skill UI

Implements a robust, enterprise-grade Role-Based Access Control (RBAC) system for Supabase. This skill teaches how to store custom roles (e.g., admin, editor, viewer) in JWT claims (`app_metadata`), enforce granular permissions, and scope access at the row level using PostgreSQL RLS policies. It covers organization scoping, role hierarchy management, and API key protection.

Guides senior analysts through classifying delays, damages, losses, claims, and carrier disputes, detailing documentation, deadlines, and mode-specific behaviors so freight exceptions are resolved quickly while safeguarding customer satisfaction and financial exposure.

Codified expertise for orchestrating the full returns lifecycle—from authorisations and inspection through disposition, refunds, fraud detection, and warranty claims—to balance customer satisfaction with margin protection across retail, e-commerce, and omnichannel operations.

Assess research claims and experimental rigor by evaluating methodology, statistical validity, evidence quality, and biases using GRADE and Cochrane ROB frameworks, plus supporting schematics for complex concepts.

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.

This skill enforces rigorous governance and discipline when AI modifies systems, debugs code, or makes root-cause claims. It mandates safety gates (e.g., backup, blast radius check), demands evidence for every diagnosis, and prevents common AI shortcuts like guessing or deflecting. Use this for critical code modifications, complex debugging, and high-stakes deployments to ensure thoroughness and safety.

This skill transforms a refined research proposal or method idea into a detailed, structured, and claim-driven experiment roadmap. It helps users determine exactly which experiments to run, in what order, and what evidence is needed to support the core claims of a research paper, ensuring focus on novelty, simplicity, and genuine contribution.

This skill provides comprehensive implementation for secure JWT (RFC 7519) signing and verification using multiple algorithms (HMAC-SHA256, RSA-PSS, ES256, EdDSA). It covers token expiration, claims validation, and crucial defenses against common attacks like algorithm confusion and 'none' algorithm bypass, essential for hardening web application authentication systems.

This advanced skill systematically verifies the novelty of a proposed research method or technical idea against the global body of academic literature. It guides the user to extract core technical claims, performs multi-source searches across major academic databases (e.g., arXiv, Google Scholar, top conferences), and utilizes high-level LLM reasoning to generate a detailed, structured novelty assessment report. Ideal for researchers seeking to validate the unique contribution of their work.

This tool performs comprehensive security testing on GraphQL APIs by generating deeply nested, recursive, or highly repetitive queries. It specifically aims to identify Denial-of-Service (DoS) vulnerabilities and resource exhaustion issues by overwhelming the server's CPU, memory, or database connections. Essential for security auditors and penetration testers.

A specialized tool for authorized penetration testing and security assessments. It exploits the vulnerability of JWT libraries that accept tokens with the "alg": "none" header, bypassing cryptographic signature verification. Users can craft tokens with arbitrary claims (e.g., elevated privileges, impersonation) to validate that a target server correctly rejects unsigned JSON Web Tokens.

This skill acts as a critical gatekeeper after a set of experiments are completed. It systematically evaluates raw experimental metrics and outcomes against predefined research claims. The goal is to determine whether the results adequately support a claim, contradict it, or if critical evidence is missing. It guides the research team towards the next decisive action: pivoting the hypothesis, supplementing the data, or confirming the findings. Use this before writing final reports.