Skill UI

This skill guides users through the systematic scientific method, helping to formulate testable, evidence-based hypotheses from initial observations or complex datasets. It structures the process by conducting literature reviews, synthesizing conflicting evidence, developing multiple competing hypotheses, and critically evaluating their quality (testability, falsifiability). All final reports mandate the inclusion of AI-generated scientific schematics to visualize complex mechanisms, experimental designs, and causal relationships, ensuring publication-quality output.

This advanced skill generates comprehensive, professional-grade market research reports (50+ pages) modeled after top consulting firm deliverables (McKinsey, BCG). It supports deep data analysis using research-lookup, multi-framework strategic assessment (PESTLE, SWOT, Porter's Five Forces), and extensive visual generation using scientific schematics and image generation tools. The output is in professional LaTeX format, compiled to PDF, suitable for strategic planning, investment decisions, and thought leadership.

This skill guides users through the entire statistical analysis workflow, covering everything from framing research questions and checking assumptions to running complex models (t-tests, ANOVA, regression, Bayesian methods). It emphasizes calculating effect sizes and generating fully formatted results compatible with APA guidelines, ensuring rigorous and reproducible research reporting.

This skill provides a comprehensive workflow for generating professional and structured financial reports. It guides the user through planning, writing, and editing various sections, and can also generate necessary chart configurations using visual tools. Ideal for condensing complex financial analysis into clear, actionable reports.

This internal agent skill processes raw X/Twitter posts into structured bug candidates. It systematically performs parsing, content deduplication, PII redaction, reliability scoring, and classification. Finally, it clusters related reports using deterministic signatures, providing a highly organized output for efficient bug triage and analysis from large-scale social media streams.

Builds a robust, automated workflow to export critical sales data—including forecasts, quota details, adjustments, and CRM totals—from Clari CRM to a designated data warehouse. The pipeline supports multiple targets like Snowflake, BigQuery, and PostgreSQL, ensuring that real-time revenue intelligence is available for advanced analytics and business reporting.

This skill guides users on automating fundraising workflow analysis using local data methods. Since Finta lacks a public API, it teaches how to export pipeline data (CSV) and use Python (Pandas) scripts to calculate key funnel metrics, conversion rates, and generate detailed weekly reports for investor tracking and reporting.

Implements a robust data pipeline for handling large documents with the Grammarly API. This utility manages text chunking to comply with API character limits (max 100k), processes text in manageable segments, and aggregates multiple scoring metrics (like correctness, clarity, and tone) into a single, comprehensive report. Ideal for large-scale content analysis and data ingestion.

Provides a comprehensive checklist for deploying Hex data analytics integrations into production. It covers critical operational best practices, including API key management, rate limit handling, error resilience (circuit breakers, exponential backoff), and robust monitoring strategies. This guide ensures that data pipelines are deployed reliably, minimizing downtime and guaranteeing consistent, high-quality data reporting for go-live scenarios.

This skill performs a zero-context verification audit, ensuring that every quantitative claim, comparison, and scope statement within a research paper precisely matches the provided raw result files. It is designed to eliminate confirmation bias, catching discrepancies such as incorrect rounding, cherry-picked best seeds, or misreported performance deltas before publication. Ideal for validating paper-to-evidence fidelity.

A comprehensive toolkit for advanced web intelligence workflows. It supports deep research, structured data enrichment, entity discovery, web content extraction from specific URLs, and continuous web monitoring. Ideal for scientific investigation, academic report generation, and tracking changes across authoritative sources.

A comprehensive guide to diagnosing and enhancing search relevance within Qdrant. This skill addresses reported issues such as low precision, low recall, or irrelevant matches. It guides users through determining if the problem lies in the embedding model, Qdrant configuration, or the query strategy. Techniques covered include optimizing chunk splitting, tuning HNSW parameters, implementing hybrid search, and utilizing reranking for superior result quality.