10 KiB
Session: 2026-06-12 18:04:04 GMT+8
- Session Key: agent:xiaobian:feishu:direct:ou_3abad542579ba871b293d126f8f206ee
- Session ID: 189ad408-0157-4420-9f23-dca6ae06edc7
- Source: feishu
Conversation Summary
user: [message_id: om_x100b6d89207820b0c493ecef262baa1]
姜小妹: https://makee-interactive.feishu.cn/wiki/MTkAw3lQvisPZLkHo4lcUsomn7g?from=from_copylink
assistant: 姜小妹 sent a Feishu wiki link. I need to read this document using the lark_wiki_operate_as_bot skill. Let me fetch this document.
assistant: Now let me fetch the document. The wiki token from the URL is MTkAw3lQvisPZLkHo4lcUsomn7g.
assistant: The document is "L1-S3-U26-L1 一起坐巴士", obj_token is SAz0drgM7oJjDgxWJ4ocwD03nqd, type is docx. Let me fetch the content.
assistant: I can see the document structure. It has:
- A staff table (制作人员)
- Knowledge points (embedded sheet)
- 剧情梗概 (story outline) - which I can now read clearly
- 剧本标注说明
- The actual script (embedded in a sheet:
RPqjs7BfRhYZbctLRkEcbu1GnNd_9RcFwC)
The outline is very clear - it shows the 4 sections of the story. Now I need to read the actual script which is in an embedded sheet. Let me try to read that sheet. assistant: There are multiple sheets:
9RcFwC: 178 rows, 9 cols - this is likely the main script (referenced in the markdown as the 剧本 sheet)6aqvM2: 204 rows, 8 cols - possibly another version or sectionsuKEEh: 7 rows, 6 cols - this is the knowledge points tableSheet1: empty/extra
Let me read the main script sheet (9RcFwC) and the knowledge points sheet (suKEEh). assistant: The data has complex formatting (rich text segments). Let me use a different approach to read it properly. assistant: Excellent! Now I have the full script. Let me also read the second sheet (6aqvM2) which might be an earlier version or additional context.
Actually wait — I notice something very interesting! Rows 138-149 are the core interaction that I designed earlier, and 姜小妹 has directly used my version in her script! She adopted my core interaction as-is. So the comparison she wants me to do is about the rest of the script (the TL segments, 互动s, dialogue style, etc.), not the core interaction itself.
Let me now do a thorough comparison between:
- My earlier output (the core interaction + the outline I designed)
- Her actual full script
Let me also check the second sheet for completeness. assistant: The second sheet doesn't seem accessible - maybe it was deleted or is a different entity. That's fine - I have the full main script (178 rows). Let me now do the comparison analysis.
I have everything I need:
- 姜小妹的完整剧本 (Rows 2-171 of the main sheet)
- 我之前提供的核心互动设计 (which she directly adopted into rows 138-149)
- U26L1 大纲 (from memory/2026-06-05.md)
Now let me analyze her writing style and compare it with what I would have done. Let me write a thorough comparison.
Key observations from her script:
- She used my core interaction directly (R138-R149)
- The script has detailed stage directions, emojis, sound effects, camera directions
- Dialogue is very natural and character-driven
- Bingo has a very distinctive voice (confused, enthusiastic, makes funny mistakes)
- Knowledge points are embedded very naturally through story events
- Each "互动" row is a User line that includes a knowledge point
- The TL (timeline) structure drives the pacing
Let me now write a comprehensive comparison and learning summary.收到了,让我仔细读完整课剧本。 assistant: Now let me do a deep analysis. Let me look at the full script structure more carefully - I want to count interactions, analyze dialogue patterns, check NPC sentence lengths, and understand her knowledge point embedding strategy. assistant: Now I have a comprehensive picture. Let me write the comparison and learning summary. Here's what I've observed:
Key stats from 姜小妹's script:
- 中互动: 约13-15个 (accounting for the core interaction rows)
- User 最多台词(43句),Bingo 次之(37句)
- 台词平均词数: User 5.1词, Bingo 4.6词, 其他NPC 3-7词
- 所有角色最长不超过9词
- 知识点分布均匀: road 8次, seat 13次, bus stop 5次, thirty 5次
Comparison points:
-
我的核心互动 vs 她的整体风格: She actually used my core interaction directly (R138-149), which means she approved the format. Good.
-
对话风格: Her dialogue is extremely concise (avg 5 words per line), very natural, uses lots of exclamations and character-specific tics (Bingo's confusion, "Huh?", "Oh no!", funny misunderstandings like "the bus is going to throw up")
-
Knowledge point embedding: She embeds KPs through repeated natural usage in story events - not just once but multiple times across different contexts (road: dangerous road → gravel road → the road goes uphill; seat: stay in seat → sit on seat → seat belt → seats are for people in need)
-
互动 design: Every "互动" is a User line that contains a knowledge point. It's always User who says the KP in interaction mode, not NPCs.
-
Bingo's character: The central character for driving the plot - his ignorance creates natural teachable moments. He doesn't just not know things, he actively misinterprets them (bus = monster, bus coughing = sick, seat belt = hug).
-
Stage directions: Very detailed visual/audio cues (emojis, sound effects, camera directions, spine animations) that enhance the storytelling.
-
Pacing: Short exchanges (2-4 lines per beat), clear emotional beats, regular interruption by interactions.
Let me save this analysis and present it to 姜小妹. assistant: Now let me write a comprehensive comparison for 姜小妹.读完了。以下是我的对比复盘:
📝 U26L1 剧本对比复盘
一、你做对了(我学到的)
1. 极简对话——每句 ≤ 9 词
你全篇没有一句超过 9 词。平均:User 5.1 词/句,Bingo 4.6 词/句。
| 你的写法 | 我可能会写的 |
|---|---|
The road goes uphill. (4词) |
This road is going uphill, so that's why you're moving. (11词) |
Stay in your seat. (4词) |
You should sit on your seat and stay there. (9词) |
Oh no!!! There is a monster! (6词) |
What's that?! It looks like a huge scary monster coming towards us! (12词) |
规律: 宁可拆成 2 句 5 词,也不堆成 1 句 10 词。
2. Bingo = 剧情发动机
整课的教学节拍全部靠 Bingo 的误解来触发:
- road → "什么东西?"(好奇)
- bus → "怪物来了!"(恐惧拟人化)
- 颠簸 → "车在咳嗽,它是不是生病了?"(拟人化)
- seat belt → "像拥抱?"(童真比喻)
- 被甩飞 → "车要吐了!"(荒诞幽默)
这不是"解释知识点",是"让 Bingo 用错误理解制造笑点,然后 User 顺势纠正"。 我设计核心互动时也用了这个模式(Bingo 先说错),但你在整课中贯彻得更彻底——每一个知识点的首次出现都有一个 Bingo 式误解作铺垫。
3. 知识点反复出现,每次换一个语境
- road: 危险(R14) → 上坡路(R79) → 石子路(R99) → 注意路况(R67) → 儿歌中(R161)
- seat: 不坐座位(R58) → 坐到地上滑走(R82) → 系安全带(R101) → 让座(R130/R135) → Bingo邀请分享(R158)
- 同一个词出现 5-13 次,但每次的剧情功能不同,不觉得重复
我如果写整课剧本,可能每个知识点只安排 2-3 次精确出场。你的方式是"高频自然复现"。
4. 互动行 = User 的知识点输出,且极度简洁
你的互动行全部是 User 说话,内容只有一句:
互动 | | User | Stay in your seat.
互动 | | User | Watch out on the road.
互动 | | User | We're on a gravel road.
互动 | | User | Thirty is its number.
没有多余解释,没有 NPC 铺垫,一句话 = 一个互动 = 一个知识点输出。
5. 舞台说明的极简+精准
Bingo激动地冲向马路。
【音效】车滴滴鸣笛。
一辆车从远处飞速驶过,Vicky连忙拦住Bingo。
三句话,画面感极强。不写"Bingo因为第一次看到马路而感到非常兴奋和好奇,他无法抑制自己的激动情绪……"这种废话。
二、差异总结(我要改的)
| 维度 | 我的倾向 | 你的写法 | 修正方向 |
|---|---|---|---|
| 句子长度 | 7-12 词 | 3-9 词 | 砍到 ≤ 7 词 |
| 知识点密度 | 精确出场 2-3 次 | 高频自然复现 5-10+ 次 | 多场景反复 |
| Bingo | 犯错+被纠正 | 犯错+荒诞拟人化误解+被纠正 | 加一层"幽默理解方式" |
| 互动行 | 有时加 NPC 铺垫 | 纯 User 独白输出 | 互动行只留 User 一句 |
| 舞台说明 | 偏详细 | 极简但画面感强 | 三句以内、动词驱动 |
| 情节节奏 | 3-6 行一个互动 | 3-5 行一个互动 | 更紧凑 |
| User 角色 | 引导+解释 | 引导+纠正(不解释) | User 只"做"不"讲" |
三、我沉淀的行动规则
下次你让我写剧本时,我会执行以下规则:
- 单句 ≤ 7 词(严格自检,超过就拆)
- Bingo 每个新知识点首次出现 = 一个荒诞误解(不是"不懂",是"用错误的方式理解")
- 知识点至少出现 5 次,覆盖 3+ 不同语境
- 互动行只写 User 一句话,包含知识点,不加 NPC 铺垫
- 舞台说明 ≤ 3 句,用动词开头
- 不解释,不说教——事件本身就是教学
这些规律我已经存到你的个人偏好文件里了。下次写剧本时我会直接按这个标准来,不需要你再重复提醒。
有没有什么我遗漏的、你觉得特别重要的点? user: [message_id: om_x100b6d89dc26e894c263215ac41eb49] 姜小妹: 好了,请把U26L1归档记录好吧 assistant: Now let me update today's memory log with this work. assistant: 搞定,归档完毕:
- ✅ 任务日志
task_log/S3U26L1剧本.md— 状态更新为"已完成",记录定稿信息+飞书链接 - ✅ 活跃任务索引
active_tasks.md— U26L1 标记为"✅ 已完成(全课定稿)" - ✅ 日记忆
memory/2026-06-12.md— 记录今天的核心互动设计+对比复盘工作 - ✅ 个人偏好
private_memory/— 你的写作风格规律已沉淀
U26L1 从大纲到定稿完整闭环了 🎬。下次你说写剧本我就按你的风格来。