Skill UI

This skill provides comprehensive configuration for Windsurf deployments, managing data transmission controls, retention policies, and regional compliance settings. It ensures adherence to global privacy standards, such as GDPR, by handling data governance and defining code exclusion patterns.

This guide details how to configure Windsurf for professional enterprise deployment, covering critical security and governance features. Key areas include setting up SSO/SAML authentication, defining role-based permissions (Owner, Admin, Member), establishing organization-wide AI policies and data controls, managing user seats, and implementing comprehensive audit trails for compliance.

A comprehensive toolkit designed to professionalize LLM prompt workflows. It moves prompts from ad-hoc drafts to measurable, production-ready assets through A/B testing against structured test cases, immutable version tracking, and governance guidelines. Essential for marketing teams needing verifiable quality and safety for AI-generated content.

A two-layer memory architecture designed for managing corporate board meeting decisions. It separates raw, unfiltered transcripts (Layer 1) from founder-approved, canonical decisions and action items (Layer 2). This system ensures historical accuracy, tracks overdue tasks via commands like /cs:review, and actively detects topic contradictions and conflicts to maintain governance integrity.

A comprehensive enterprise-grade security engine designed to discover, classify, protect, and govern all credentials, API keys, and secrets across the entire application lifecycle. It provides continuous governance by auditing code repositories, CI/CD pipelines, runtime logs, and infrastructure configurations to prevent exposure and enforce least privilege principles. Ideal for implementing DevSecOps best practices.

Full Instagram Graph API integration for Business/Creator accounts, handling publishing, analytics, comments, DMs, hashtags, scheduling, templates, dashboards, and governance; suited for automating multi-format campaigns via scripts and APIs.

Skill Sentinel audits and evolves a skills ecosystem by analyzing quality, security, cost, governance, documentation, dependencies, and cross-skill duplication, then generates health reports, recommendations, and orchestrates assessments for teams managing multiple automations.

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 guides the implementation of comprehensive Identity Governance and Lifecycle Management (IGM) processes. It automates the entire employee identity lifecycle—from pre-hire onboarding (Joiner) to role changes (Mover) and termination (Leaver). Key components include Role-Based Access Control (RBAC) provisioning, periodic access recertification, and remediation of orphaned accounts, ensuring compliance with standards like SOX and GDPR.

This tool applies advanced role mining techniques (including clustering and formal concept analysis) to analyze existing user-permission assignments. It discovers optimal, minimal role sets for Role-Based Access Control (RBAC) systems, helping organizations mitigate 'role explosion' and enforce the principle of least privilege. Ideal for identity governance and access control architecture redesign.

This tool discovers and inventories 'shadow APIs'—endpoints that operate outside documented specifications (OpenAPI/Swagger). It utilizes advanced traffic analysis against API gateways (e.g., Kong, AWS API Gateway), cloud configuration scanning, and source code mining. Essential for assessing the complete API attack surface, auditing forgotten services, or establishing robust API governance policies.

This comprehensive guide details the implementation of Cloud Data Loss Prevention (DLP) using industry-leading tools such as Amazon Macie, Google Cloud DLP, and Azure Information Protection. It provides structured workflows for discovering, classifying, de-identifying, and protecting sensitive data (PII, PHI, financial data) across cloud storage, databases, and data pipelines. Essential for achieving compliance with global regulations (GDPR, HIPAA, PCI DSS) and integrating robust data governance into CI/CD processes.