Skill UI

This comprehensive guide teaches the best practices for writing effective, blameless postmortem reports following technical incidents. It provides a structured approach to documenting timelines, conducting root cause analysis (RCA), identifying systemic failures, and creating actionable follow-up items. Mastering this skill is crucial for fostering organizational learning and preventing future service disruptions.

A specialized skill designed to ensure robust software quality by covering the entire testing lifecycle. This includes defining test strategies, writing unit, integration, and E2E tests, and implementing advanced testing types like performance (k6), security (OWASP), and functional testing. It guides users through coverage analysis, debugging flaky tests, and generating detailed defect and quality reports.

Defines a Markdown/Mermaid-first documentation skill for scientific and technical writing, providing diagram standards, 24 reference types, and templates so every report, README, or analysis stays text-first, versionable, and visualization-ready.

Guides research teams through a two-stage manuscript workflow: outline sections with research-lookup, enforce IMRAD structure, citation styles, figures, and reporting guidelines, then convert into polished prose for journals.

This tool generates a complete, structured patent specification document. It takes inputs such as claims, invention disclosure, and prior art reports to draft all necessary sections, including the technical field, background, summary, detailed description, and abstract. It ensures legal and technical completeness, following complex jurisdictional guidelines (CN, US, EP).

A professional methodology for writing penetration test and red team reports, covering executive summaries, technical findings, CVSS scoring, evidence handling, remediation tracking, retest notes, and delivery formats for clients and internal teams.

A robust toolkit for deterministic, structural PDF manipulation. This skill allows users to perform programmatic tasks such as extracting text and tables from reports, merging multiple PDF files, splitting documents by page ranges, filling out form fields, or generating entirely new PDFs from structured data (e.g., JSON). It is designed for explicit, byte-level operations, distinguishing it from LLM-based natural language rewriting tools.

A comprehensive guide for generating dynamic, inline SVG graphics (such as sparklines, gauges, and charts) within Power BI reports using DAX measures. This technique allows developers to embed complex visualizations directly into standard visuals (Table, Card, Matrix) by having the DAX function return an SVG markup string. Best practices emphasize prioritizing existing User Defined Function (UDF) libraries (e.g., IBCS, DaxLib.SVG) over writing custom DAX code.

Provides comprehensive style guidance for writing and refining scientific manuscripts for Acta Automatica Sinica (AAS). This guide covers the structure of the reporting abstract (Purpose/Method/Result/Conclusion), handling bilingual requirements, formatting rules for equations, figures, and adherence to national standards for units and citations (GB/T 7714). Ideal for papers in control theory, robotics, and intelligent systems.

This detailed guide outlines the structure and scientific rigor required for publishing high-quality papers in the domain of Computer Aided Verification (CAV). It instructs authors to transition their work from mere system demonstrations or benchmark reports to formally guaranteed, mathematically precise contributions, emphasizing clear scope definition, stated theorems, and proof ideas.

A comprehensive guide to meeting the rigorous reporting standards required for high-impact scientific journals (e.g., Cell Press). It details the structure of STAR Methods, mandates the creation of a Key Resources Table (KRT), and outlines necessary authentication for cell lines, antibodies, animal models, and deposited data (including specific identifiers like RRIDs, GEO/PRIDE accessions). This ensures maximum transparency and reproducibility in scientific research writing.

A comprehensive guide for authors submitting manuscripts to a high-level Computer Science journal. It covers all critical aspects of academic formatting, including reportive abstracts (4 elements), proper citation styles (GB/T 7714-2015), figure/table standards, nomenclature, and general academic style, ensuring manuscripts pass initial editorial review.