Skill UI

This skill guides users through transcribing live meetings (Zoom, Meet, Teams) or voice memos using advanced AI. It provides full transcriptions with timestamps, and advanced AI processing to automatically generate structured meeting summaries, prioritized action items with assignees, and key discussion points. It is essential for meeting accountability, knowledge capture, and project follow-up.

Draft, revise, and audit scientific manuscripts and reports with rigorous evidence provenance, authorship accountability, and confidentiality controls. This tool ensures every factual claim is traceable to verified evidence, making it essential for high-stakes academic writing, journal submissions, and regulated research reporting where accuracy and compliance are non-negotiable.

This skill generates a comprehensive, structured meeting notes page in HTML format. It captures all essential meeting elements, including attendees, a detailed agenda checklist, key decisions, and a trackable action items table (with owners and due dates). Ideal for documenting meeting minutes, 1:1 recaps, or all-hands summaries to ensure clear follow-up and accountability.

This skill analyzes and reports on the token usage, expenditure, and budget for AI models (like Claude Code) by querying a local SQLite database. It is essential for users who need detailed financial accountability, tracking costs by project, tool, or date, and managing operational budgets.

This skill facilitates the systematic triage and closure of open promises or commitments within a project context. It guides the user to reliably close these commitments using verifiable, real-world outcomes via the acc_act(runtime="outcome") command. It emphasizes maintaining rigorous provenance discipline, ensuring that status updates are based only on external or runtime validated results, thereby maximizing data integrity and accountability.

A structured template designed for comprehensive meeting minutes. It guides users to capture key elements including attendees, agenda items, major decisions, detailed action items (with owners and due dates), and next steps. Ideal for professional settings requiring clear follow-up and accountability.

This skill analyzes and reports on the token usage, expenditure, and budget for AI models (like Claude Code) by querying a local SQLite database. It is essential for users who need detailed financial accountability, tracking costs by project, tool, or date, and managing operational budgets.

A comprehensive guide for revising academic papers submitted to FAccT (Fairness, Accountability, and Transparency). It instructs authors on how to frame socio-technical contributions to be legible to a mixed panel of computer scientists, lawyers, and social scientists. Focus areas include scoping claims to specific populations, explicitly arguing adverse impacts, and making interdisciplinary concepts native to the text.