Skill UI

This skill provides a comprehensive framework for in-house legal teams to evaluate the performance of outside counsel. It guides the creation of a detailed scorecard, structures post-matter feedback forms, prepares Quarterly Business Review (QBR) materials, and generates comparative firm scorecards, allowing for data-driven panel decision-making.

This tool guides the analysis of work sessions by detecting user feedback (corrections, successes, edge cases). It evaluates these signals against quality criteria (Complete, Precise, Atomic, Stable) to propose structured improvements, update skill documentation (SKILL.md), and maintain a changelog.

This guide details how to implement real-time notifications from a backend API to the Admin UI using WebSockets. It covers emitting messages from server-side logic (e.g., background tasks) and receiving/handling them within the Admin's WebSocket handler, allowing for immediate UI feedback like toasts or cache updates.

A comprehensive guide and set of rules for writing effective, warm, and actionable comments across various development platforms. It helps users structure feedback for GitHub PRs, issue trackers, or Slack messages, ensuring the tone is consistently thoughtful, direct, and focused on clear next steps, rather than simply listing observations.

Apply pragmatic programming rules inspired by Hunt and Thomas to improve engineering judgment, feedback loops, DRY knowledge, orthogonality, automation, and adaptability. Use this skill for design and code decisions requiring pragmatic engineering tradeoffs.

This skill guides researchers in selecting and refining topics for the Journal of Systems Engineering (Tianjin University). It helps define system boundaries, identify feedback loops, and ensure testable questions. It prevents vague topics by requiring specific system structures and verifiable outcomes. Suitable for academic research in systems engineering, operations research, and complex systems.