Skill UI

This skill generates a comprehensive, structured guide for planning and facilitating any type of workshop, strategic session, or collaborative meeting. It covers the entire lifecycle, including defining clear objectives, designing detailed activities with instructions, managing group dynamics and conflicts, and ensuring concrete commitments and next steps are captured. Ideal for project managers, trainers, and team leads.

This skill acts as a central router, helping users determine the correct specialized skill or workflow to tackle development challenges. It guides the entire software development lifecycle, from initial idea refinement (Idea -> Ship) and prototype testing, to managing complex multi-session builds and handling incoming bugs via triage. It is essential for navigating the vast ecosystem of AI coding agents.

A comprehensive skill for systematically building, refining, and documenting a project's domain model. It helps define core terminology, establish a ubiquitous language, and record critical architectural decisions (ADRs). Use this when you need to challenge ambiguous language, invent edge-case scenarios, or maintain architectural consistency throughout the development lifecycle.

This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.

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.

A comprehensive guide to executing the NIST Risk Management Framework (RMF) to achieve an Authorization to Operate (ATO). This covers the full lifecycle, including preparation, system categorization (FIPS 199), control selection and tailoring (SP 800-53 Rev 5), implementation, assessment (SAR), and continuous monitoring. Essential for organizations working under FISMA or FedRAMP.

Implements HashiCorp Vault's dynamic secrets engine to automatically generate, lease, and rotate short-lived credentials for databases (e.g., Postgres, MySQL), AWS IAM keys, and PKI certificates. This eliminates the risk associated with storing static secrets, ensuring compliance with zero-trust principles and automating the entire secret lifecycle.

A comprehensive framework for managing third-party risk (TPRM) throughout the entire vendor lifecycle. This tool guides users through inventory, risk tiering, running due diligence questionnaires (SIG, CAIQ), reviewing security evidence (SOC 2, ISO 27001), codifying requirements in contracts, and establishing continuous monitoring protocols. It is essential for maintaining compliance, managing supply chain risk, and securing data handled by external vendors.

A comprehensive, adaptive framework for developing and implementing features, adhering to a strict, multi-phase workflow: Specify, Design, Tasks, and Execute. This skill ensures feature quality through granular task breakdown, atomic Git commits, requirement traceability, and mandatory, independent verification. It automatically adjusts its depth based on feature complexity (Small to Complex), providing a robust mechanism for managing technical debt and capturing project lessons.

This skill manages the entire lifecycle of long-running deep learning training and inference jobs deployed on remote, ephemeral computing environments (e.g., AutoDL, RunPod, bare SSH, Slurm, K8s). It provides critical capabilities like resilient checkpointing, managing spot instance preemption, debugging resource failures (OOM, NaN), and ensuring safe billing teardown, making it essential for professional ML Ops on rented resources.

A comprehensive, all-in-one design skill covering the entire creative lifecycle. Features include building brand identity, defining design tokens, UI styling with Tailwind/shadcn/ui, sophisticated logo generation (AI-powered), Corporate Identity Program (CIP) mockups, professional pitch decks, multi-platform banner design, and social media image creation. It acts as a unified hub for professional graphic and digital assets.

This skill provides comprehensive tools to detect data poisoning and model backdooring attacks throughout the machine learning lifecycle. It checks data provenance, detects label-flip anomalies (using Cleanlab), and analyzes model activations and spectra (using ART) to identify malicious triggers or compromised weights, ensuring ML supply chain integrity.