aks-builds/ai-測試失敗分析器
針對 Playwright、pytest、Jest、Cypress、Newman、k6 和 JUnit 測試失敗的 8 階段證據管線。掃描 Git 歷史、應用程式日誌和設定，產出附有信賴分數的根本原因假設。提供 MCP 伺服器、CLI 和串流 Web UI。
針對 Playwright、pytest、Jest、Cypress、Newman、k6 和 JUnit 測試失敗的 8 階段證據管線。掃描 Git 歷史、應用程式日誌和設定，產出附有信賴分數的根本原因假設。提供 MCP 伺服器、CLI 和串流 Web UI。
這是一項專為多種測試框架（包含 Playwright、pytest、Jest、Cypress、Newman、k6 和 JUnit）設計的 AI 代理技能，能有效分析測試失敗原因。此技能採用 8 階段的證據管線，深入檢視 Git 提交歷史、應用程式日誌與設定檔，自動產出附有信賴分數的推測性根本原因。開發者可以透過 MCP 伺服器、CLI 指令或即時串流 Web 介面使用它，無需手動逐一排查日誌。其核心價值在於加速除錯流程，讓團隊能更快定位問題根源，減少重複性手動分析工作，並支援 CI/CD 整合。
npx skills add aks-builds/ai-test-failure-analyzerInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
針對 Playwright、pytest、Jest、Cypress、Newman、k6 和 JUnit 測試失敗的 8 階段證據管線。掃描 Git 歷史、應用程式日誌和設定，產出附有信賴分數的根本原因假設。提供 MCP 伺服器、CLI 和串流 Web UI。
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.