Skill UI

SE Ranking's advanced AI visibility analyst tracks a brand's Share-of-Voice (SOV) across major generative AI platforms, including ChatGPT, Gemini, and Perplexity. It goes beyond basic ranking by providing comprehensive metrics for brand mention citation rates in AI Overviews and AI Mode, alongside traditional SERP, backlink, and competitor gap analysis. Essential for modern digital marketing strategy.

A powerful plugin enabling Claude Code to delegate complex tasks to external AI CLIs (such as OpenAI Codex or Google Antigravity/Gemini) without exiting the conversation. It supports multi-model workflows, allowing users to seek a second opinion, cross-check deep analysis, or delegate side tasks (like research or code review). The core value is that Claude synthesizes the raw outputs, providing a critical review and reconciliation of findings across all consulted models.

A comprehensive dashboard designed for tracking dating and community engagement metrics. It features real-time signal tickers, key performance indicators (KPIs), 30-day mutual match charts, and match rate trend analysis. Ideal for personal self-improvement or tracking consumer/social trends.

An ultra-rational, grid-based presentation template inspired by Swiss design principles. Featuring a strict 16-column grid, limited color palettes (Klein Blue, Lemon, Safety Orange), and 22 predefined layouts. Ideal for presenting complex data, academic research, product roadmaps, and high-level business analysis where clarity and objectivity are paramount.

This template guides the process of turning raw A/B test results, growth experiments, or product feature data into a clear, actionable decision report. It structures the analysis beyond mere metrics by forcing the inclusion of hypothesis, setup details, result interpretation, and a final, justified decision (Ship/Stop/Iterate). Essential for Product Managers and Growth Teams.

A cinematic, data-rich dashboard for comprehensive multi-platform social media analysis. Designed for creators, this tool features an interactive KPI matrix, hover tooltips, range comparison charts, and a dedicated insights drawer to help users track and visualize performance across various channels.

This methodology provides a rigorous framework for scoring competitors across nine weighted dimensions. By using explicit 1-5 rubrics and focusing intensely on the client's strategic tension, it moves beyond subjective gut-feel rankings to create defensible, comparable, and evidence-anchored scores. It is essential for developing a detailed, structured competitive report.

This skill provides a rigorous, structured method for inspecting animated 3D characters, rigs, and motion retargeting in Blender. It moves beyond visual evidence (screenshots) by extracting and comparing structured data points such as bone transformations, bounding box changes, ground contacts, and axis conventions. Ideal for diagnosing subtle animation flaws like foot sliding, ground penetration, or incorrect orientation that are invisible in still images.

Compares two recorded browser sessions step-by-step using matching step IDs. This tool performs both pixel-level visual regression analysis (calculating MSE/PSNR) and comprehensive DOM comparison using accessibility snapshots. It provides a detailed divergence report, making it crucial for validating UI changes, detecting visual regressions after updates, and ensuring that browser replay runs match the parent session within defined tolerances.

This technique audits user interaction flows (like button clicks) to detect subtle bugs that static analysis often misses. It specifically tracks the full sequence of state changes, identifying instances where later actions unintentionally cancel, contradict, or leave the UI in an inconsistent state due to state store side effects or race conditions. Ideal for debugging complex state management architectures (Redux, Zustand).

This skill guides the definition of a defensible and decision-relevant competitor set. It is the foundational step before any benchmarking, helping users identify, categorize, and scope competitors (Direct, Adjacent, Aspirational) based on criteria like size, niche, market reach, and positioning. It ensures that strategic analysis focuses only on the most relevant rivals.

This skill wraps the `getCompactContext` functionality to efficiently retrieve a compacted ReasoningBank context, specifically optimized for cost-analysis queries. It generates a detailed report summarizing critical metrics such as tokens saved, memories retrieved, and agentic-flow availability. It is essential for monitoring and optimizing resource usage in complex AI workflows, providing deep visibility into the efficiency and cost of the context retrieval mechanism.