Skill UI

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 integrates with DeepAPI to facilitate advanced web scraping, market research, and controlled email workflows. It handles scraping data from various sources like websites, LinkedIn, GitHub, and Twitter, while managing costs and ensuring explicit user approval for sensitive actions like sending emails. Use it for robust data extraction and automated reporting.

This tool routes tasks through a multi-tier system, specifically partitioning tasks into Agent Booster eligible (Tier 1) and standard LLM calls (Tier 2/3). It calculates and reports the estimated cost, leveraging the structural $0 cost of Booster bypasses for simple transforms, helping users optimize spend before running batches of similar tasks.

This skill analyzes and reports on the token usage, expenditure, and budget for AI models (like Claude Code) by querying a local SQLite database. It is essential for users who need detailed financial accountability, tracking costs by project, tool, or date, and managing operational budgets.

repo-scan is a powerful tool designed to audit large, complex, cross-stack codebases (C++, Java, iOS, Web). It classifies every file into project code, third-party dependencies, or build artifacts. Key features include detecting embedded libraries (e.g., FFmpeg, OpenSSL) and providing a practical 4-stage assessment (Core Asset / Extract / Refactor / Deprecate) via an interactive HTML report. Essential for managing monorepos and planning major refactoring efforts.

This guide outlines the essential CLI commands for managing the full task lifecycle within the LobeHub task system. It covers viewing task details, creating and managing subtasks with dependencies, handling task-related documents (workspace), and tracking conversational topics. Use `lh task` to ensure structured workflow execution and progress reporting.

This skill queries and interprets the advanced Google Search Console AI Performance Report, covering both AI Overviews and AI Mode impressions and pages. It helps marketers baseline a brand's visibility in generative AI search results, assess performance by country, device, and date, and strategically decide on the in-Search-Console AI opt-out toggle. Essential for managing modern search attribution.

This tool executes comprehensive SEO implementation changes directly on connected CMS platforms like WordPress and Webflow. It facilitates the deployment of structured data (JSON-LD schema), updating meta tags, managing canonical URLs, creating 301/302 redirects, and requesting indexation. The process enforces a mandatory approval gate to ensure auditability and a structured implementation report for every change, bridging the gap between SEO recommendations and live deployment.

This skill guides authors on condensing complex empirical research findings (tables and figures) to meet the strict formatting constraints of top academic journals like AER: Insights. It enforces a maximum of five one-page exhibits, teaches authors how to select the headline result, central diagnostics, and mechanism, and ensures adherence to specific house styles, such as reporting standard errors instead of significance asterisks, while managing word count budgets.

This workflow acts as a router for writing rigorous pure mathematics manuscripts, specifically targeting the high standards of journals like the Annals of Mathematics. It guides the user through the entire lifecycle—from initial scope assessment and structuring proofs, to refining exposition, and managing revision cycles based on expert referee reports.

This comprehensive guide provides a structured workflow for responding to reviewer reports and revising academic manuscripts, specifically tailored for high-impact journals like China Rural Economy. It details best practices for point-by-point responses, managing methodological critiques (e.g., endogeneity), and ensuring logical consistency between the revised text and the rebuttal letter.

A comprehensive guide for drafting and polishing academic manuscripts for the Journal of Applied Econometrics (JAE). This skill ensures adherence to strict house conventions, including writing citation-free 100-word abstracts, structuring quantitative findings, correctly reporting estimated coefficients with standard errors, and managing front matter (keywords, acknowledgments, COI statements).