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Use when coding cross-source evidence with Product Positioning Theory to classify attributes, functions, benefits, and usage/service context, and when optionally exporting theory_annotations compatible with review-mining-stp.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Karpathy's LLM Wiki: build/query interlinked markdown KB with Zettelkasten note discipline. Triggers: 知識庫, 建 wiki, wiki 筆記, 研究筆記, ingest sources, knowledge base.
Use when building, maintaining, or auditing a Zettelkasten (slip-box) note system, or when applying atomic-note discipline to an existing markdown knowledge base — atomicity checks, card-splitting decisions, linking rules, note-type workflow. Trigger on 卡片盒筆記法、卡片盒、Zettelkasten、原子筆記、永久筆記、文獻筆記、結構筆記、拆卡、筆記連結、smart notes、atomic notes、permanent notes、slip-box, or when another skill (e.g. llm-wiki) needs per-change note-discipline checks.
Use whenever the agent thinks at all — writing copy or reports, proposals, planning products or features, coding, debugging, or any other task — running ALL curated thinking frameworks in sequence (currently 邏輯推導 logical reasoning：MECE, 空雨傘, 魚骨圖; 創意發想 creative ideation：六頂思考帽, 腳本圖, 心智圖; 市場分析 market analysis：3C 分析, SWOT 分析, 4P與4C; 進度管理 progress management：惠特默模型, KPI 樹狀圖, PDCA; 權衡得失 weighing trade-offs：決策矩陣, PMI 表, 力場分析; 預測未來 predicting the future：S 型曲線, 鴻溝理論, 長尾模型; 辯論思考 debate thinking：需根解損, 判定立駁, 論點以主張-資料-推論三要素構建 Claim-Data-Warrant、以質詢拆解三問檢驗（事實為真？邏輯嚴密？有無其他可能？）; 思維模型 mental models：第一性原理, 反向思考法, 二階思考, 能力圈, 奧坎剃刀) to lock direction and key points before acting, screening all reasoning with a ~160-item 謬誤檢核清單 fallacy checklist. Theme grouping is navigation only — work through every theme, not just the ones that look relevant. Trigger on ultrathink, 深度思考, 想清楚再做, 思考框架, 抓重點, 言之有物, 沒抓到重點, any framework or tool name above, or whenever a task involves thinking, planning, writing, building, or debugging.
Use by default for any user-facing writing, including answers to users, emails, documents, formal correspondence, reports, proposals, landing-page copy, social posts, essays, commentary, explanations, summaries, product copy, internal updates, and other prose intended to be read by people. Apply it whenever the output contains human-readable text, unless another skill explicitly owns the writing style or the output is purely code, structured data, or a command. Supports Chinese and English.
Software engineering guidelines for any software change. Always load this skill before requirement clarification, architecture/design, implementation, refactoring, code review, testing, or shipping. Covers simplicity, surgical changes, TDD, and verifiable success criteria. Triggers on: 任何軟體規劃, 需求釐清, 架構設計, 寫 code, 改 code, 做功能, 修 bug, refactor, 開發, coding, development, 實作, 實現, 寫程式, 改程式, 加功能, 修問題, code review, 測試, 重構
Universal database engineering rules. Migration discipline, audit logging, soft delete, performance, data integrity. Triggers on: 任何資料庫相關工作, 建表, 改 schema, 寫 migration, DB design, database development, 設計資料庫, 改 DB 結構, 加欄位, 加索引, 改 table, SQL, 寫 trigger, 設計 API 的 DB 層, 查詢很慢, N+1, 效能優化, 資料完整性, CASCADE, 外鍵, 新增 table, 刪除資料, backup, 環境分離, dev prod 分開
| name | theory-analysis-product-positioning |
| description | Use when coding cross-source evidence with Product Positioning Theory to classify attributes, functions, benefits, and usage/service context, and when optionally exporting theory_annotations compatible with review-mining-stp. |
用產品定位理論（Product Positioning Theory）分析跨來源證據，輸出可讀報告與可機器串接的結構化結果。
可用來源包含訪談摘要、客服工單、社群貼文、研究筆記、觀察紀錄等，不限於評論探勘。
本 skill 含完整理論章節，可在分析前先校準理論概念與構面判準。
此 skill 可獨立使用，也可選擇把 theory_annotations 與 stp_mapping 交給 review-mining-stp。
至少提供：
analysis_goal: stringevidence_items: array
item_id: stringcontent: stringcontent_type: string建議可選：
source_type: stringsource_ref: stringcontext_tags: string[]若缺少必要欄位或沒有可用證據內容，回傳 MissingDataOutput，不要硬做推論。
{
"missing_fields": [],
"why_needed": {},
"questions_to_user": [],
"next_step_rule": "Provide analysis_goal and at least one evidence item with item_id, content, and content_type, then rerun coding."
}
references/00-theory-foundation.md，校準理論概念、核心構面與研究應用語境。references/01-input-and-gate.md，做輸入檢查與缺資料判定。references/02-dimension-coding-rules.md，依四個構面做證據標註：
attributesfunctionsbenefitsusage_context_service_experiencereferences/03-output-contract-json-markdown.md，輸出 JSON 與 Markdown。references/04-worked-example-turbocharger.md。theory_annotations.family 固定為 product_positioningtheory_annotations.subtheory 只可使用：
attributesfunctionsbenefitsusage_context_service_experience可搭配 review-mining-stp 的 dimension_catalog 與 stat_roles 進一步分析。
review-mining-stp 屬於 optional downstream，不是本 skill 的必經流程。
insufficient。Use $theory-analysis-product-positioning to code mixed evidence items and output JSON + Markdown in Traditional Chinese.請用 $theory-analysis-product-positioning 分析多來源證據，並提供可選串接 review-mining-stp 的 theory_annotations。