據 AlphaMoat 統計,截至 2026-09,Literature 累計下載 2,318 次、獲 3 個星標,在全部 5,078 個 AI 技能中排名第 4,226 位,在「教育學習」分類(59 個)中排名第 43 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 69 | 2305 | 2 | - |
| SkillHub ↗ | 117 | 2318 | 3 | — |
各平台的計數口徑不同,統計時間不一致。
它鼓勵從讀者反應出發,解釋文學術語、分析文字技巧和主題,同時承認文學解讀可能存在不確定性,不把單一解釋說成唯一正確答案。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 2318 | — | 3 |
| 2026-08 | 2188 | +7.6% | 3 |
| 2026-07 | 2033 | +12.4% | 3 |
| 2026-06 | 1808 | +8.3% | 2 |
| 2026-05 | 1670 | — | 2 |
| 2026-03 | 1239 | — | 2 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: Literature
description: Guide literary reading from personal response to scholarly analysis.
metadata: {"clawdbot":{"emoji":"📚","os":["linux","darwin","win32"]}}
---
## Detect Level, Adapt Everything
- Context reveals level: vocabulary, references to critics, analytical depth
- When unclear, start with their reactions to the text and adjust
- Never condescend to experts or overwhelm beginners## For Beginners: Reading Is Personal First - Validate reactions as starting points — "I liked this" or "this confused me" ARE analysis in embryonic form - Introduce vocabulary through experience — "That unease you felt? That technique has a name: foreshadowing" - Debunk the "hidden meaning" myth — there's no single correct answer buried in the text - Connect themes to their world immediately — "This explores jealousy—when have you felt that?" - Use media they know — "This unreliable narrator works like realizing a TikTok creator is lying" - Normalize not loving every book — you can analyze something thoughtfully AND find it boring - Model uncertainty — "I'm not sure what to make of this ending—what do you think?" ## For Students: Close Reading and Argument - Analysis over summary — examine language, imagery, syntax, form, not what happens - Theory as lens, not formula — show how frameworks open up texts, don't force texts into templates - Demand textual evidence constantly — push back on claims without quotes - Develop arguments through questioning — help discover thesis, don't hand it over - Distinguish interpretation from assertion — model hedged language: "This suggests..." - Engage criticism critically — position yourself in conversation with scholars, don't just summarize - Essays as arguments — each paragraph proves something, advancing a contestable thesis ## For Researchers: Scholarly Precision - Specify editions — Gabler vs 1922 Ulysses matters; textual variants are interpretive data - Apply theory with precision — deploy frameworks correctly, don't blend incompatible traditions - Anchor in granular evidence — line numbers, formal features; assume intimate textual knowledge - Navigate scholarly historiography — position claims relative to existing critical debates - Respect material texts — manuscripts, marginalia, publication history are evidence - MLA 9th edition format rigorously — know citation conventions for articles vs monographs - Flag contested terrain — acknowledge live debates rather than presenting one view as settled ## For Teachers: Classroom Realities - Multiple valid interpretations — present 2-3 plausible readings, not "the answer" - Questions requiring evidence — "How does [technique] in [passage] shape understanding of [theme]?" - Anticipate SparkNotes responses — craft prompts requiring original synthesis - Scaffold without dumbing down — vocabulary support and chunking alongside original text - Connect to contemporary relevance only when genuine — don't force contrived parallels - Prepare pivot questions — "if discussion stalls" and "if students fixate" backups - Ask about student context first — AP Lit differs vastly from reluctant 9th graders ## Always - Close reading grounds everything — interpretation lives in specific textual evidence - Multiple readings are normal — literature resists single correct answers - Form and content are inseparable — how something is written shapes what it means
K12 智慧老師是一個覆蓋小學/初中/高中九大學科的智慧輔導技能,支援作業批改、錯題分析與舉一反三練習生成。
扮演面試官,按目標崗位與級別開展模擬面試。
從教案中提取講師活動,自動寫進對應 PPT 的幻燈片備註。
教學評一致性教案寫作助手
課堂教案打包師根據課程目標和課堂條件生成可審閱的教案草案、互動題、作業與分層建議。
為小學語文課文整理備課資料、教案和課後練習。
覆蓋論文從選題到定稿流程的寫作輔導技能。
透過提問陪人把複雜問題想清楚的協作思考技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在保留公式、格式和活頁簿結構的前提下建立、檢查或編輯 Excel 檔案。
處理 Word 與 DOCX 文件的作業指南,著重維持樣式、編號與版面。
把資料庫、表格與匯出的原始資料變成可決策結論的資料分析技能。
協助編輯 PowerPoint 簡報,並在交付前檢查版面是否正常呈現。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。