Skill UI

This tool creates a production-ready, comprehensive content brief for marketing materials. It integrates keyword strategy, detailed content outlines, brand voice guidelines, and advanced on-page SEO specifications, ensuring writers can execute the content without needing further context. Ideal for structured content planning across blogs, whitepapers, and landing pages.

This tool accesses a brand's cumulative intelligence graph to retrieve, rank, and synthesize relevant marketing learnings. By inputting a context (channel, audience, objective, etc.), it generates an actionable playbook that informs current decisions using past validated insights, eliminating the need for manual searching through old reports. It handles confidence thresholds, time ranges, and identifies conflicting patterns.

Performs advanced semantic search across all stored brand knowledge, including guidelines, campaign learnings, and competitor insights. By combining vector databases, knowledge graphs, and local indices, it provides comprehensive, context-aware answers to complex natural language questions, ensuring users make decisions based on the brand's entire historical knowledge base.

A structured tool for sending critical, warning, or informational alerts to internal teams via Slack or Intercom. Ideal for pushing campaign status updates, performance metric alerts, or formal approval requests to stakeholders. It supports advanced features like tiered urgency flagging, context embedding (IDs, metrics), and mandatory execution approval, ensuring all internal communication is documented and actionable.

This skill allows users to manage and switch between different active brand profiles within a multi-client or agency environment. It is essential for maintaining context accuracy across diverse workflows. Users can list all available brands, switch the active profile using a unique brand slug, and review key brand attributes. It ensures that all subsequent generated content adheres to the correct brand's voice, compliance rules, and business context.

This tool allows users to systematically capture, structure, and store marketing learnings and insights into a persistent knowledge graph. By requiring context conditions (audience, channel, objective) and confidence levels, it builds compound intelligence, ensuring that every new observation automatically enhances the understanding and performance of future campaigns, strategies, and marketing efforts.

The Unified Memory system provides a durable, inspectable context layer for sharing state and handoffs between multiple autonomous agents (harnesses) like Claude, Codex, and Hermes. It allows agents to save work state, transfer context, resume tasks, and search shared project knowledge across different scopes (project, team, user).

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.

This skill is a comprehensive strategic guide for authors targeting the ACM Conference on Recommender Systems (RecSys). It helps assess the fit of a manuscript, guides the re-framing of work from journal or arXiv styles into a specialized conference narrative, and outlines specific requirements for evidence, evaluation (including offline metrics, user context, and leakage-aware methods), and contribution framing necessary for top-tier CS venues.

This comprehensive guide assists authors in evaluating the suitability, framing, and structural requirements for submitting research on wireless, mobile, IoT, sensing, and network security/privacy to the ACM WiSec conference. It provides critical expertise on aligning the paper's contribution type, threat model, and evidence standards with top-tier academic conference expectations, ensuring the work emphasizes the physical or network context.

A comprehensive guide for authors preparing empirical research manuscripts (especially in accounting). It details best practices for structuring main tables (keeping them lean), transforming statistical coefficients into interpretable economic magnitudes, and properly visualizing dynamic effects using event study graphs. It emphasizes moving beyond simple significance stars to provide deep academic context.

This guide helps researchers elevate general empirical ideas (e.g., 'X affects Y') into rigorous, theory-driven accounting contributions. It outlines four sources of academic contribution, identifies key areas (auditing, financial accounting, governance), and teaches how to anchor research in specific accounting mechanisms and China's institutional context, meeting the standards of top-tier accounting journals.