Skill UI

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 tool serves as the formal gate for documenting corporate decisions made during high-level meetings, such as boardrooms. It logs the founder's final, approved memo, creating a durable, structured record that feeds into future planning cycles. It maintains a two-layer memory system: raw transcripts for reference, and approved decisions for actionable, official company memory, ensuring accountability and historical continuity.

This tool simulates a highly critical compliance officer, forcing rigorous scrutiny on any multi-framework compliance program. It addresses six critical areas: scope definition, evidence overlap, ownership accountability, audit planning, mock audit simulation, and management review cadence. Use it before adopting new standards (like ISO or HIPAA), planning annual audits, or preparing for major certifications to systematically identify gaps and risks.

This advanced tool surfaces critical, often unrecorded, evidence of human-AI collaboration during development sessions. It analyzes git diffs and conversational context across multiple layers to classify the signal level (HIGH/MEDIUM/LOW), measure technical complexity, detect decision forks, and quantify the specific contribution of the AI model, providing structured data for post-session retrospectives and accountability.

This skill generates a comprehensive RACI (Responsible, Accountable, Consulted, Informed) matrix for complex projects, product launches, or ongoing business processes. It clarifies ownership, defines decision rights, and maps roles across cross-functional teams (R, A, C, I), ensuring accountability and preventing bottlenecks. Ideal for governance documentation or onboarding new teams.

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.

This skill centralizes and manages Standard Operating Procedures (SOPs) for marketing agencies. Users can create SOPs from templates, assign them to specific brands, track compliance against recent campaign executions, and maintain detailed version control. It ensures consistent quality and accountability across all operational areas, from paid media to SEO.

A specialized guide for authors targeting the ACM Conference on Fairness, Accountability, and Transparency (FAccT). It helps authors strategically frame their responsible AI research, ensuring claims are rigorously grounded in both technical measurement and social context. Covers necessary evidence bars, scope calibration, and submission best practices for this niche venue.

A comprehensive ethical framework for anthropological research (AA), focusing on accountability, informed consent, and the 'ethics of care.' This skill guides researchers on protecting vulnerable populations, handling cultural heritage, human remains, and determining what data can and cannot be shared. It emphasizes that protecting people always overrides data sharing requirements.

This comprehensive skill guides researchers through the critical ethical framework for anthropological and social science manuscripts. It emphasizes 'do no harm,' continuous informed consent, community accountability, and proper handling of sensitive data, cultural heritage, and human remains. It ensures that all data sharing and knowledge reuse plans prioritize the rights, privacy, and well-being of interlocutors above academic publication needs.