This repository contains a Codex skill for bilingual Chinese-English customer insight research. It helps produce customer-facing Word and PowerPoint deliverables for account planning, regulated-industry analysis, cloud strategy, business process/API deep dives, technology architecture inference, workload placement, and executive briefing.
customer_insight_deep_research is a Codex agent skill that this repository contains a Codex skill for bilingual Chinese-English customer insight research. It helps produce customer-facing Word and PowerPoint deliverables for account planning, regulated-industry analysis, cloud strategy, business process/API deep dives, technology architecture inference, workload placement, and executive briefing.
npx skills add huaweicloud-samples/customer_insight_deep_researchInstalled? Explore more 研究＆データ分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
This repository contains a Codex skill for bilingual Chinese-English customer insight research. It helps produce customer-facing Word and PowerPoint deliverables for account planning, regulated-industry analysis, cloud strategy, business process/API deep dives, technology architecture inference, workload placement, and executive briefing.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
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.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.