qualitative-interview-processor 是做什麼的？
用於將質性訪談錄音整理成飛書/ Lark Minutes 逐字稿與結構化研究文件的 Codex 技能。
用於將質性訪談錄音整理成飛書/ Lark Minutes 逐字稿與結構化研究文件的 Codex 技能。
質性訪談處理器（Evie0715/qualitative-interview-processor）是一個專為 Codex 設計的技能，能協助研究人員將原始質性訪談錄音高效轉換為飛書/ Lark Minutes 的逐字稿及結構化的研究文件。該技能支援多種常見的音訊格式，並可自動識別說話者、生成時間戳記與關鍵主題標籤。其主要優勢在於減少手動轉錄與整理的時間，同時確保輸出格式符合飛書平台規範，便於後續協作與分析。技能運作方式為：透過 Codex 工作流程觸發後，先將音訊檔案上傳至飛書，再由飛書的語音辨識服務產生初始逐字稿，最終由 AI 輔助整理成帶有摘要、主題分類與重點標記的研究文件。適用於學術研究、市場調研及使用者訪談等情境。
npx skills add Evie0715/qualitative-interview-processorInstalled? 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 →
用於將質性訪談錄音整理成飛書/ Lark Minutes 逐字稿與結構化研究文件的 Codex 技能。
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.