Skill UI

A specialized intelligence tool for comprehensive patent prior-art and landscape analysis. Unlike generic searches, this skill forces commitment to one of five critical sub-use-cases (Novelty Search, Freedom-to-Operate, Competitive Landscape, etc.) before conducting searches across major patent databases (Google Patents, Espacenet, USPTO). It outputs a detailed, editable report containing claim-aware analysis, risk flags, and strategic recommendations.

Pulse is an advanced research skill designed to synthesize the current conversation surrounding any topic. It aggregates data from multiple sources—including Reddit, Hacker News, the open web, and X/Twitter—within a specified time window. By forcing the user to define specificity, angle (trend, sentiment, problems), and scope, it delivers a highly structured briefing complete with citations and cross-platform pattern analysis. Ideal for competitive intelligence, market trend discovery, and deep audience sentiment analysis.

This skill serves as a sophisticated research orchestrator, functioning as a hybrid router. It deterministically classifies complex user queries and routes them either to specialized domain modules (e.g., trend analysis, academic literature review, patent search, or entity dossiers) or executes a robust fallback general search workflow. The system always maintains transparency regarding the routing decision, yielding comprehensive, cited reports in markdown or .docx format.

This skill automatically generates a comprehensive, professionally formatted reading list from any course syllabus. It parses learning outcomes and core topics, searches Consensus for the most recent peer-reviewed academic papers, and compiles them into a DOCX file. The generated content includes plain-language summaries and Bloom-higher-order discussion questions, calibrated specifically to the target audience (e.g., undergraduate, graduate) for maximum academic utility.

AEO (Answer Engine Optimization) is the practice of optimizing content specifically for citation in responses generated by Large Language Models (LLMs) like ChatGPT, Gemini, and Perplexity. Unlike traditional SEO, AEO focuses on improving E-E-A-T signals, structured data, and factual density to become an authoritative source for AI search, ensuring your content is cited when answering complex queries. This skill provides auditing, optimization, and tracking capabilities.

A detailed technical workflow for inspecting complex 3D animation, rigging, and motion states within Blender. This skill moves beyond visual inspection by extracting structured data—such as bone transformations, world-space bounding boxes, ground contacts, and axis conventions—to accurately diagnose issues like foot sliding, rotation errors, or retargeting mismatches in professional animation pipelines.

This advanced orchestrator manages complex internal business workflows, covering process mapping, vendor management, capacity planning, and procurement optimization. It acts as a central router, classifying multi-signal inquiries and delegating tasks to specialized sub-skills (e.g., knowledge-ops, vendor-management). It follows a structured, depth-first workflow and returns actionable, digested reports anchored in documentation and next steps.

This advanced orchestrator manages the complex economics of enterprise deals, covering pricing strategies, discount approvals, partnership agreements, and revenue forecasting. It routes user inquiries to one of seven specialized commercial sub-skills, providing a comprehensive digest for deal-desk, financial planning, and commercial policy review.

A comprehensive framework for evaluating prospective business partnerships. This tool helps Heads of BD and Founders validate if a potential partner has genuine independent demand, classify the appropriate partnership tier (e.g., Reseller, OEM, Strategic Alliance), design a 90-day joint Go-to-Market (GTM) plan, and model the optimal revenue share structure against direct sales margins. It surfaces clear kill criteria for risk mitigation.

This cheatsheet serves as a comprehensive lookup reference for the Mercury MCP tools. It guides AI agents on which specific `mercury_*` tools to call for various team interactions, including messaging teammates, managing threads and tasks, scheduling automations, and performing organizational admin edits. Use it when connecting to the Mercury MCP server to ensure the agent selects the correct function without guessing.

This skill provides an end-to-end solution to transform existing REST APIs, defined by OpenAPI or Swagger specifications, into functional MCP servers. It maps every API operation to a dedicated, callable LLM tool, automatically generating robust parameter schemas (Zod) and handling authentication wiring. Use this to expose internal or third-party APIs to LLMs, providing a complete workflow from spec ingestion to local testing and cloud deployment.

A dedicated skill for performing manual synchronization and memory recall with the OpenViking system. This tool is triggered by specific operator commands (`ov dream` or `ov recall <query>`), allowing users to sync chat transcripts or search past knowledge without interrupting the normal chat context flow. Ideal for data pipeline operations and knowledge base management.