## 摘要 / Summary
### 中文
在去除机械数字上限（#58）后，进一步删掉技能里追问/展示数量的**软性倾向措辞**——create
的「一次不要问太多以免用户负担」、discover 的「避免一次刷屏过多」。数量与节奏完全交由执行 Agent
自主判断，不带任何倾向暗示。create 2.5.4 / discover 2.6.4，manifest 1.2.15，中英双份同步、重算
source_hash（validate-i18n 通过）。
### English
After removing the mechanical numeric caps (#58), further drop the soft
directional hints on ask/display count — create's "don't ask too many so
as not to burden the user" and discover's "avoid flooding the screen".
Count and pacing are left entirely to the executing Agent's judgment
with no bias. create 2.5.4 / discover 2.6.4, manifest 1.2.15, both
locales synced, hashes recomputed (validate-i18n passes).
## 摘要 / Summary
### 中文
去除技能里束缚执行 Agent 自主判断的**机械数字策略**：create 需求收集的「每轮最多问 2 个」、discover
排序的「最多展示 5 个候选」。改为交由 Agent 按情况自主把握追问节奏与展示数量，保留「别让用户负担 /
别一次刷屏」的原则意图——把控制权交还给判断力更强的执行者，而非用固定上限约束。create 2.5.3 / discover
2.6.3，manifest 1.2.14，中英双份同步、重算 source_hash（validate-i18n 通过）。
### English
Remove mechanical numeric limits that constrain the executing Agent's
judgment: create's "at most 2 questions per turn" and discover's "show
at most 5 candidates". Both become "the Agent decides the pacing/count
by situation", keeping the principle intent (don't burden the user /
don't flood the screen) while handing control back to the more capable
executor instead of a fixed cap. create 2.5.3 / discover 2.6.3, manifest
1.2.14, both locales synced, hashes recomputed (validate-i18n passes).
## 摘要 / Summary
### 中文
#56 的复盘修正。上一轮"强改写压缩"把四技能 L1
的**技术属性、使用场景与交互示范当套话一刀切**，造成实质信息丢失（承诺"意图全保留"但未做到）。本 PR 补回：
- **create**：`创建仓库符合 AgentFS v2 规范、git
管理版本（可治理/可追溯）`定位；`基础创建`形态（name+description，description 自动填充 persona
L0）；需求收集的**引导问题示例**（"起什么名字？/主要负责什么？"…）；企业部署/开发者原型使用场景。
- **update**：`agent 目录 git 管理版本、历史可追溯`定位 + 使用场景。
- **discover**：使用场景（浏览/新用户/找替代）+ `语义匹配而非关键词搜索`。
- **delete**：使用场景（清理/测试/释放存储）。
根因：L1 混着实质技术属性与营销套话、使用场景是触发判据、引导问题是交互示范，不该按"只留独有信息"一刀切。补回后仍保留结构性压缩（zh
正文合计仍降 ~64%）。版本 create 2.5.2 / update 3.1.3 / delete 2.5.2 / discover
2.6.2，manifest 1.2.13，中英双份同步、重算 source_hash（validate-i18n 通过）。
### English
Post-mortem fix for #56. The previous aggressive compression treated the
skills' L1 technical attributes, use cases, and interaction demos as
boilerplate and cut them in a blanket way, dropping substantive
information (the "all intent preserved" claim wasn't fully met). This PR
restores: create's AgentFS-v2 / git-version-management positioning, the
"basic create" form (name+description auto-filling persona L0), the
requirement-gathering prompt questions, and enterprise/developer use
cases; update's git-versioned/traceable positioning and use cases;
discover's use cases and "semantic match, not keyword search"; delete's
use cases. Root cause: L1 mixed real technical attributes with marketing
boilerplate, use cases are trigger cues, and prompt questions are
interaction demos — none should have been blanket-cut. Structural
compression is retained (zh bodies still ~64% smaller). Versions bumped,
manifest 1.2.13, both locales synced, source hashes recomputed
(validate-i18n passes).
