Skill UI

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.

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.

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 skill processes an exported JSON list of open pull requests (PRs) to generate a structured, blockers-first digest. It automatically identifies which PRs are blocked (due to failing checks, requested changes, or review status) and which are ready to merge. Ideal for daily standup meetings, triage sessions, and streamlining the code review backlog.

This CLI tool automates the entire issue triage lifecycle for Linear and Jira. Users can pull backlogs, cluster duplicates, apply labels, reassign owners, and post detailed summaries—all directly from the shell. It is ideal for weekly backlog cleanup, post-release bug sweeps, and synchronizing data between multiple tools (e.g., Sentry to Linear).

This skill provides a comprehensive, 4-phase workflow for managing and reviewing a pull request backlog. It automatically audits open PRs, classifying them by size, staleness, overlap, and CI status. Users can then initiate deep code reviews, generate comment drafts, and set up local worktrees for systematic maintenance and quality assurance.

A comprehensive playbook for building visual novels, covering core components like branching scripts, character presentation, backgrounds, and choice mechanics. It details necessary quality-of-life features such as save-anywhere, backlog, and auto-advance, ensuring a rich, engaging, and readable story experience.

Audit defect backlogs and resolve issue clusters by verified root cause: build read-only mechanism maps, rank deletion-first fixes, and close issues only with rule-backed evidence.

A skill for triaging issues by root cause, avoiding symptom-by-symptom fixes, and designing solutions that simplify systems. It provides hard rules for classification, test evidence, and over-engineering prevention, suitable for maintainers handling bug reports and backlogs.

Skill for triaging and working through Ouroboros GitHub issues and pull requests as a maintainer. Handles backlog cleanup, review, merge readiness, duplicate PRs, and issue disposition using live GitHub state and a defined review boundary.

Plan a hackathon using team backlogs or open-ended creative play. This skill guides you through defining scope, duration, and participants, then proposes 5-8 projects. It supports scanning repositories for TODOs and issues, ensuring security, and managing the event flow for a productive hack day session.