Skill UI

This guide details how to manage and reduce the high rate-limit costs associated with the SalesLoft API. It explains the cost model, emphasizing that deep pagination significantly increases consumption. Learn advanced strategies like incremental syncing, caching frequently accessed data, implementing webhooks, and request consolidation to maintain efficiency and stay within budget limits.

This guide provides comprehensive instructions on managing performance and concurrency within Snowflake. It covers key concepts like warehouse sizing, multi-cluster configuration, and detecting query queuing issues. Users learn how to right-size resources and implement application-level rate limiting to prevent throttling and optimize data warehouse throughput for complex analytics workloads.

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

A comprehensive guide on embedding before-and-after screenshots directly into pull request descriptions. This skill helps reviewers visualize UI changes, layout adjustments, and data visualizations instantly, without needing to check out the branch. Includes best practices for image sizing, structured Markdown patterns, and specific API/upload guidance for Azure DevOps and GitHub.

This meta-skill orchestrates a multi-step process to transform complex research questions, data, or deep reports into a structured, source-backed presentation deck (PPTX). It automatically handles searching, source curation, synthesizing an executive storyline, and generating a professional slide outline and talk track, making it ideal for competitive analysis, leadership briefings, or academic presentations.

The pbir CLI is a comprehensive tool for exploring, building, managing, formatting, and validating Power BI reports. It allows developers to interact with Power BI files (.pbir, .pbix, .pbip) programmatically, covering everything from structural inspection and data model querying to visual generation and publishing to Fabric. It guides users through best practices, emphasizing iterative development and explicit validation.

This skill provides a highly rigorous framework for analyzing complex public issues, platform governance, and institutional compliance. It is designed to structure evidence boundaries, assess procedural justice, and track public commitments by synthesizing source ledgers and multiple data points. It is intended as a specialized sub-routine triggered by the main CrossFrame suite, not for standalone use. Key focus areas include source verification, identifying weak signals, and mitigating AI compliance performance risks.

This skill provides comprehensive, read-only market intelligence for prediction markets. It helps users research market events, compare different venues (like Polymarket, Kalshi), analyze liquidity, and understand underlying assets. It generates source-grounded briefings, emphasizing context and data quality, and strictly avoids providing investment or trading advice.

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

This tool generates comprehensive marketing intelligence briefings by synthesizing accumulated knowledge across all brand agents and channels. It surfaces cross-agent patterns, confidence scores, and actionable playbooks, transforming raw data into strategic advantages. Use it for quarterly planning, strategy reviews, knowledge gap analysis, or onboarding new team members to maximize decision-making confidence.

A comprehensive guide outlining rigorous data analysis and reporting standards for geographic manuscripts. It covers spatial statistics, remote sensing accuracy, and qualitative interpretation, emphasizing spatial honesty, quantifying uncertainty, and ensuring results are robust across different scales and units.

This skill guides researchers on the mandatory, rigorous evaluation of complex systems models (e.g., AgSy). It details best practices for model validation, emphasizing the comparison of observed vs. simulated data using independent, held-out datasets. Key components covered include standard fit statistics (RMSE, NSE), sensitivity analysis (identifying core drivers), uncertainty propagation, and multi-objective trade-off/scenario analysis to ensure scientific credibility.