Skill UI

An interactive tool designed to discover, select, and assemble specialized teams of AI agents. It supports structured agent collections across different domains (e.g., Engineering, Marketing). Users select multiple roles for a specific task, and the skill launches them in parallel, synthesizing their independent findings into a unified report, including consensus and conflict analysis.

This skill guides users through evidence-based terminal operations. It is designed for scenarios requiring direct command execution, Git status checks, debugging CI/build failures, and pushing narrow, verified fixes. It emphasizes following a structured, minimal-scope workflow and accurately reporting the repository's current state (e.g., local changes vs. pushed code).

A dedicated canvas for reviewing plans and visual artifacts. It facilitates a tight review loop where human users can annotate specific elements, chat, and provide explicit verdicts (Approve/Request Changes) directly in a local browser environment. This tool is ideal for getting detailed, actionable feedback on designs, reports, or complex plans, moving beyond simple text confirmations.

A one-shot setup wizard designed to ensure Digital Marketing Pro's state persists across sessions when using Anthropic Cowork. It verifies the Cowork environment, checks for a Google Drive integration, and establishes a canonical folder structure in your shared Drive so that brand profiles, campaign plans, and audit reports are always accessible by the team.

This skill guides the creation of C-suite level marketing dashboards. It translates complex operational data (like ad spend, channel performance) into clear, actionable business outcomes (revenue influence, market share). Ideal for CMO reports, board presentations, and strategic decision-making, ensuring senior leaders can make fast, informed choices without being overwhelmed by detail.

This comprehensive tool conducts a deep audit of local search engine optimization (SEO) health. It evaluates Google Business Profile (GBP) completeness, NAP consistency, citation presence, on-site location pages, and local schema. The output is a prioritized, actionable report designed to improve local pack rankings and boost foot traffic or service inquiries.

A sophisticated tool designed to automatically generate professionally branded, structured marketing reports. It supports various report types, including executive summaries, campaign performance deep dives, channel analysis, and quarterly reviews. By pulling live data from multiple sources and tailoring the output to the intended audience (C-suite, team, or client), it eliminates manual report assembly, ensuring brand consistency and actionable insights.

Provides comprehensive guidelines for designing, auditing, and documenting empirical evidence for high-level AI research submissions (e.g., AAAI). It covers essential methodologies including strong baselines, single-factor ablations, robustness testing (shift, seed, prompt), statistical significance, and ensuring perfect alignment with reproducibility checklists and ethical reporting. Use this guide before submission to ensure empirical evidence strongly supports all claimed AI contributions.

Provides comprehensive guidelines for designing, auditing, and reporting high-rigor multi-agent experiments, especially in game theory and self-play systems. It emphasizes testing the *interaction* claim—such as convergence to equilibrium, truthful behavior, or emergent cooperation—against held-out opponents, populations, and strategic deviations, moving beyond simple single-agent leaderboard scores.

This comprehensive guide provides stringent methodological standards for authors submitting papers to ACM Multimedia (ACM MM). It details how to rigorously validate cross-modal claims, ensuring that evidence supports the multimedia contributions. Key areas covered include designing ablations to isolate fusion mechanisms, conducting robust user studies, reporting performance against matched baselines, and maintaining transparency regarding datasets, media licenses, and compute costs.

A powerful skill designed to analyze raw ad campaign performance data from platforms like Google, Meta, and LinkedIn. It goes beyond simple metrics reporting, providing deep diagnosis by identifying underperforming ads, pinpointing budget waste, and calculating the true Customer Acquisition Cost (CAC). It generates concrete, actionable recommendations for what to cut, scale, or test next, optimizing your ad spend and maximizing ROAS.

A comprehensive framework designed to rigorously test the stability of key macroeconomic findings. This program addresses potential biases arising from specification choices, sample periods (e.g., Great Moderation, ZLB, COVID breaks), and methodological variations (SVAR vs. LP). It ensures that the reported headline quantity remains robust even when challenged by a skeptical academic referee, providing a targeted defense rather than simply listing extra tables. Ideal for high-stakes empirical macro papers.