Skill UI

This skill assists Agile Product Owners in managing backlogs and executing sprints. It covers writing user stories, defining acceptance criteria, breaking down epics, and prioritizing tasks. It ensures INVEST compliance and provides templates for sprint planning and velocity tracking. Suitable for Scrum frameworks.

Automates enterprise backlog grooming by following best-practice workflows, generating ready-to-use artifacts, and validating compliance patterns when projects mention the backlog grooming assistant trigger.

This skill provides a comprehensive command-line interface (CLI) for managing issues, projects, and teams within the Linear platform. Users can create, update, and track the status of issues, set project phases (e.g., backlog, in-progress), and manage complex workflows directly from the terminal, ensuring better traceability and project organization.

Operates as an end-to-end GitHub repository steward, triaging issues, reviewing PRs, analyzing contributor activity, and generating maintenance guidance so the human can simply ask “what’s next” while the agent keeps UX, docs, and backlog healthy.

This skill acts as a Senior Solutions Architect and Tech Consultant for AI projects. It diagnoses a workspace—determining if it is a pure new project or an evolving system. It analyzes the existing stack and pain points to chart the optimal technical roadmap, generating detailed backlogs and implementation plans to ensure scalable, high-quality development.

Build a hierarchical user story map that lays out activities, steps, and tasks to visualize journeys, align product/design/engineering, prioritize MVP work, and surface experience gaps before backlog planning.

Break large user stories, epics, or features into smaller, independently deliverable stories using systematic splitting patterns so agile teams can reduce risk, improve estimation, and keep value flowing when backlog items grow too big.

This skill provides sophisticated project estimation by adapting to human-only, hybrid, or agent-first development modes. It uses research-backed PERT statistics and confidence bands (P50, P75, P90) to forecast development timelines for tasks, backlogs, and capacity planning. It continuously calibrates estimates based on actual completion data, ensuring accuracy in AI-assisted and hybrid development environments.

This skill provides a comprehensive framework for vulnerability prioritization by combining three crucial data points: CISA's Known Exploited Vulnerabilities (KEV) catalog (confirming real-world exploitation evidence), EPSS scores (predicting exploitation probability), and CVSS metrics (assessing intrinsic severity). It builds a multi-factor prioritization engine to determine the most critical CVEs for immediate remediation, assisting security teams in managing large vulnerability backlogs efficiently.

AgentFlow transforms your existing Kanban board (Asana, GitHub, Linear) into a self-managing, autonomous AI development pipeline. It orchestrates multiple AI agents through defined stages (Backlog to Done), enforcing deterministic quality gates, performing adversarial reviews, and tracking costs—all visible within your existing project management UI. It provides crash-proof execution and full observability for complex software development lifecycles.

This comprehensive runbook provides detailed procedures for diagnosing and resolving critical incidents within the Glean enterprise search platform. It covers all severity levels (P1-P4) and failure modes, including API outages, connector synchronization failures, indexing backlogs, and permission drift. It includes diagnostic steps, advanced troubleshooting playbooks, and communication templates for technical support and engineering teams.

This skill takes large plans, specifications, or Product Requirement Documents (PRDs) and systematically breaks them down into small, independently verifiable, and actionable GitHub issues. Utilizing the 'vertical slice' (tracer bullet) methodology, it ensures that each generated task cuts through all integration layers (UI, API, Schema, Tests) end-to-end. It manages dependencies, identifies required human interaction (HITL) versus autonomous implementation (AFK), and prepares a structured, executable backlog ready for immediate ticketing.