What does kpmg-da-skills do?
Portable Codex skills for controlled audit data analytics workflows · KPMG audit data analytics skill pack
Portable Codex skills for controlled audit data analytics workflows · KPMG audit data analytics skill pack
This skill pack, Gvmeakiss/kpmg-da-skills (also known as KPMG 审计数据分析技能包), provides a set of portable Codex skills designed to streamline and standardize audit data analytics workflows. It is particularly useful for auditors and data analysts working in controlled environments who need to run analyses, generate reports, and maintain compliance with audit standards. The skills are built to be used with Codex (a platform for AI-assisted coding and automation), allowing users to execute tasks such as data extraction, transformation, validation, and anomaly detection directly from the command line or within a development environment. By leveraging these skills, teams can reduce manual effort, improve consistency, and accelerate the audit process while ensuring that all analytics are conducted in a secure and governed manner. The pack includes pre-defined workflows and configurations that can be easily adapted to specific audit engagements, making it a valuable tool for both internal and external audit functions.
npx skills add Gvmeakiss/kpmg-da-skillsInstalled? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Portable Codex skills for controlled audit data analytics workflows · KPMG audit data analytics skill pack
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.