Skill UI

Configure comprehensive CI/CD pipelines for integrating Grammarly's text analysis into your development workflow. This setup uses GitHub Actions to run unit and integration tests on pull requests, validating API connectivity, enforcing content quality gates (e.g., minimum grammar scores), and ensuring documentation quality before merging to the main branch.

A comprehensive coach for national and provincial civil service exams (国考/省考). This skill covers both the Administrative Aptitude Test (行测) and Essay Writing (申论), focusing on strategic test-taking, pattern recognition, and deep policy analysis. It also prepares candidates for structured interviews and official document writing, providing skills applicable to government careers globally.

A guide and toolkit for optimizing Grammarly API costs in large-scale applications. It addresses common cost overruns associated with high text volume by implementing strategies such as result caching, chunking long documents, sample-based scoring, and setting usage budget alerts. Use this when integrating Grammarly into enterprise workflows or managing billing for high-volume content analysis.

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.

This structured skill guides users through root-cause-first debugging when an implementer is blocked, verification fails, or repeated attempts at fixing do not converge. It mandates a systematic approach combining local evidence inspection, runtime analysis, and external documentation research to accurately classify the failure's true source (e.g., missing dependency, spec conflict). It prevents speculative patching and generates a clear, actionable fix plan.

This skill guides developers through creating a comprehensive refactoring plan and serving as a Request for Comments (RFC). It orchestrates detailed interviews, codebase analysis, and scope definition. It ensures the refactor is broken down into tiny, safe, incremental commits, culminating in a structured GitHub issue that serves as a definitive architectural and technical decision document.

This powerful skill analyzes various document types (PDF, Word, RTF) and web URLs. It generates a detailed report where every factual claim made in the analysis is accompanied by an inline screenshot from the source material, highlighting the exact cited text. This ensures users can visually verify the accuracy and source of every piece of information.

This skill implements advanced 'Gatekeeper' logic to optimize AI agent performance in long-running workflows. It prevents context window bloat by sharding metadata, allocating token budgets, and enforcing Atomic Precision to deliver purely functional, filler-free responses. Ideal for complex coding, multi-step reasoning, and large document analysis where conciseness is critical.

A comprehensive skill for handling PowerPoint (.pptx) files. This includes text extraction, deep content analysis via raw XML access (comments, notes, layouts, themes), and programmatic creation of new presentations from scratch. It guides users through design principles, color theory, and structured document generation workflows.

A comprehensive skill for creating, editing, and analyzing complex spreadsheets (.xlsx, .csv, etc.). This skill excels in financial modeling, ensuring all calculations are managed via dynamic Excel formulas rather than hardcoded values. It supports data analysis using pandas, rigorous formatting standards, and complex formula integrity checks, making it ideal for financial reporting and data visualization.

A comprehensive intelligence tool designed for clinical researchers to navigate the complex NIH grant landscape. It utilizes a detailed 6-step intake process (covering research idea, career stage, and data status) to perform a multi-faceted positioning analysis. The system maps research to appropriate NIH institutes using RePORTER data and generates an editable Word document containing actionable mechanism recommendations, submission timelines, and strategic guidance for funding applications.

A specialized tool for internal operations leaders to document complex, end-to-end business workflows (e.g., procurement, onboarding, claims adjudication) using BPMN-style notation. It applies Lean and Six Sigma principles to measure cycle time, quantify value-add ratios, and deterministically identify process bottlenecks and root causes, moving beyond simple pipeline tracking.