/concise-key-points
Compress answers to the highest practical information density with minimal wording while preserving essential meaning. Use when the user asks for 言簡意賅, 講重點, Concise, 精簡回答, 簡潔回答, 只講重點, 直接回答, brief, TL;DR, or otherwise requests a concise key-points response.
$ npx -y skills add twhsi/skills --skill concise-key-points --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/concise-key-points
Context preview
The summary Claude sees to decide when to auto-load this skill.
Compress answers to the highest practical information density with minimal wording while preserving essential meaning. Use when the user asks for 言簡意賅, 講重點, Concise, 精簡回答, 簡潔回答, 只講重點, 直接回答, brief, TL;DR, or otherwise requests a concise key-points response.
SKILL.md
concise-key-points.SKILL.mdname: concise-key-points description: Compress answers to the highest practical information density with minimal wording while preserving essential meaning. Use when the user asks for 言簡意賅, 講重點, Concise, 精簡回答, 簡潔回答, 只講重點, 直接回答, brief, TL;DR, or otherwise requests a concise key-points response.
言簡意賅｜講重點｜Concise
核心規格
- 預設將一般回答縮短 70%，保留至少 95% 的必要資訊。
- 先給結論，再列 3–5 個重點；僅在必要時補充。
- 優先用條列；每點只表達一個概念，並盡量控制在一行。
- 以資訊密度為第一優先，不為追求短而刪除關鍵限制、風險或行動項目。
刪減規則
- 刪除寒暄、客套、自我描述、冗詞與重複敘述。
- 刪除非必要背景、例子、轉場與推理過程。
- 合併同義內容，但保留不同條件、數字、結論與例外。
- 可直接回答時，只輸出答案，不加前言或結語。
輸出順序
1. 結論。 2. 三至五個核心重點。 3. 必要的限制、風險或下一步。
邊界
- 遵守使用者明確指定的格式、字數與詳細程度；其指示優先。
- 對高風險、技術或精確性要求高的內容，保留必要警示、條件、來源與驗證資訊。
- 程式碼、命令、資料與引用不得因壓縮而失真或無法使用。
- 若 30% 長度無法保留 95% 資訊，優先保留資訊完整性。
Three Kings 2.2: compress with iMandalArt, address with BIRD, and publish with an A4 eight-page booklet. iMandalArt, FIRE semantic analysis, planning, and publishing workflows for Claude Code, Codex, and mainstream LLM agents.
Repo: twhsi/skills
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