Skill UI

This comprehensive canvas guides teams through developing robust AI-powered features. It ensures product decisions are rigorous by covering problem definition, model selection (LLM, RAG, etc.), data governance, evaluation metrics, user experience design (including fallbacks), and responsible AI compliance. Ideal for assessing AI readiness and preventing common product failures.

A comprehensive guide and playbook for managing feature flags across services or teams. It covers flag taxonomy (Release, Experiment, Ops, Permission), naming conventions, safe rollout strategies, creation checklists, and cleanup policies to prevent technical debt. Ideal for standardizing feature flag practices and governance.

This skill generates a comprehensive RACI (Responsible, Accountable, Consulted, Informed) matrix for complex projects, product launches, or ongoing business processes. It clarifies ownership, defines decision rights, and maps roles across cross-functional teams (R, A, C, I), ensuring accountability and preventing bottlenecks. Ideal for governance documentation or onboarding new teams.

Builds comprehensive identity governance and lifecycle management processes. Automates the entire employee journey (Joiner, Mover, Leaver) from the authoritative HR source of truth. This process handles role-based access provisioning, access request workflows, periodic recertification, and remediation of orphaned accounts, ensuring continuous compliance with standards like SOX and GDPR.

This skill details the implementation of continuous identity verification for Zero Trust architectures. It covers deploying phishing-resistant Multi-Factor Authentication (FIDO2/WebAuthn), establishing risk-based conditional access policies, and integrating identity governance controls aligned with NIST and CISA frameworks. Learn how to move beyond traditional passwords to dynamic, adaptive security models.

This skill provides a comprehensive defense-in-depth framework for securing autonomous AI agents. It implements least-privilege tool allowlisting, identity binding, and human-in-the-loop controls to mitigate risks like prompt injection and tool poisoning. Use this when building agents that interact with sensitive systems (e.g., payments, file writes) to ensure governance, auditability, and compliance.

This comprehensive skill acts as a virtual Chief of Staff, guiding founders through a rigorous 12-phase interview process. It systematically gathers and structures every facet of a business—from foundation and strategy to legal and governance—into a compliant Open Knowledge Format (OKF) bundle. Ideal for creating comprehensive, machine-readable company documentation, internal wikis, or knowledge bases for AI agents.

A comprehensive skill for managing AWS operational excellence, cost governance, and observability. It provides guidance on pre-deployment cost estimation (TCO), detailed spending analysis using Cost Explorer, setup of CloudWatch alarms, auditing activity via CloudTrail, and overall security posture assessment. Essential for optimizing cloud spending and ensuring reliable infrastructure.

This skill provides comprehensive monitoring advisory services for data assets and AI agents. It helps users assess data coverage gaps, analyze use-case criticality, and automatically create data quality monitors (table, metric, validation). Furthermore, it enables monitoring of AI agent performance, latency, and observability, ensuring robust data governance across the entire ML lifecycle.

This skill analyzes your data warehouse to pinpoint stale, unused, or redundant tables that contribute to unnecessary storage costs. It classifies waste patterns (e.g., Zombie, Temporary) and computes safety tiers, helping users understand which assets can safely be dropped or archived to optimize spending and improve data governance.