Skill UI

This is a mandatory, one-time setup skill designed to interview users interactively to build a personalized knowledge base for advanced email triage. Using a structured, discipline-driven interview process, the skill collects data on email patterns, business context, and priorities, generating 7 critical structured files (e.g., email-taxonomy.md, rate-card.md). This knowledge base powers the companion 'inbox-triage' skill. Run this before initial use or whenever core business processes change significantly.

Performs comprehensive, recurring email triage by classifying messages, researching new senders, generating decision recommendations, and drafting replies. It consumes a structured knowledge base (KB) and delivers a report and updated knowledge base without sending any emails. Designed for automated, periodic execution.

Generates a highly polished, self-contained single-page HTML landing page optimized for maximum conversion. It incorporates advanced features like 3D CSS animations, GSAP scroll effects, and mouse parallax depth. To ensure accuracy, the skill uses a structured intake process (product pitch, target audience, brand colors, and tone) to build a conversion-ready page that reflects the actual product, not generic boilerplate. Outputs a single, deployable HTML file.

This skill provides a structured 'launching pad' for conducting academic literature reviews. It guides the user through a comprehensive intake process, requiring specificity on the research question and selecting appropriate frameworks (PICO, SPIDER, Decomposition). It then conducts strategic searches using Consensus, synthesizing findings into a professionally formatted research guide in DOCX format. It is designed not to produce a finished review, but an organized orientation document that allows researchers to dive into unfamiliar fields with confidence. Use cases include initiating res...

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 skill parses raw, verbose Simplicité log files from TXT format, filtering out noise and extracting only essential fields (e.g., timestamp, level, body). By converting logs into structured JSON, it significantly reduces the token size required for AI context optimization, making troubleshooting efficient and reliable.

A powerful PreToolUse hook designed to act as a safety net during code writing sessions. It automatically scans both file paths and content for 12 common security anti-patterns, including SQL injection, XSS, command injection (Node.js/Python), and unsafe deserialization. It blocks the writing operation and provides immediate warnings, ensuring adherence to secure coding practices when handling sensitive code like authentication or payment logic.

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.