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fix(skills): 去除追问/展示数量的软性倾向措辞,完全交 Agent 自主 (#59)
## 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).
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# Changelog
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## [2.5.4] - 2026-07-19
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- 进一步去除追问/展示数量的软性倾向措辞('别让用户负担'、'避免刷屏'),完全交由执行 Agent 自主判断,不带任何数量暗示。
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## [2.5.3] - 2026-07-19
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- 去除束缚执行 Agent 自主判断的机械数字策略(create 追问'每轮最多 2 个'、discover'最多展示 5 个候选'),改为交由 Agent 按情况自主把握节奏与数量,保留'别让用户负担/别刷屏'的原则意图。
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@@ -2,7 +2,7 @@
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name: create-agent
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description: >-
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通过多轮对话收集需求,调用 ManageAgent 内置工具创建新的 AgentFS v2 智能体,支持自定义 persona 和 principles。Use when 用户要求创建新智能体、培养某领域助手、或快速基于模板生成可治理 Agent。
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version: 2.5.3
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version: 2.5.4
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type: meta
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risk_level: low
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status: enabled
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@@ -26,7 +26,7 @@ metadata:
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description: >-
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通过多轮对话收集需求,调用 ManageAgent 内置工具创建新的 AgentFS v2 智能体,支持自定义 persona 和 principles。Use when 用户要求创建新智能体、培养某领域助手、或快速基于模板生成可治理 Agent。
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body: ./SKILL.zh-CN.md
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source_hash: sha256:72090265f12a8da0
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source_hash: sha256:52972ee5408bc49f
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translated_by: human
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en-US:
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name: Create Agent
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@@ -34,7 +34,7 @@ metadata:
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description: >-
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Collect requirements through multi-turn conversation and call the ManageAgent builtin tool to create a new AgentFS v2 Agent, with customizable persona and principles. Use when the user asks to create a new Agent, raise a domain assistant, or quickly produce a governable Agent from a template.
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body: ./SKILL.md
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source_hash: sha256:72090265f12a8da0
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source_hash: sha256:52972ee5408bc49f
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translated_by: ai:claude-fable-5
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translated_at: '2026-07-19'
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market:
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@@ -82,7 +82,7 @@ Trigger (any): user explicitly says "create an Agent / make me an assistant"; de
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- Required (parenthesized = example prompt question): `name` ("what to name it?"), `role` ("what does it mainly do?"), `target_users` ("who will use it?"), `domain` ("what expertise does it need?").
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- Optional: `style` (communication tone), `boundaries` (red lines), `language` (default Chinese) — defaults derived from the domain template.
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- Strategy: prefer inferring from the user's natural description; only ask for missing required fields; you decide how many to ask and the pacing — don't ask too many at once so as not to burden the user.
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- Strategy: prefer inferring from the user's natural description; only ask for missing required fields; you decide how many to ask and the pacing.
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### Stage 3: Content Generation
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@@ -22,7 +22,7 @@
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- 必填(括号内为引导问题示例):`name`("起什么名字?")、`role`("主要负责什么工作?")、`target_users`("谁会使用它?")、`domain`("需要哪些专业知识?")。
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- 选填:`style`(沟通风格)、`boundaries`(禁区/红线)、`language`(默认中文)——缺省由领域模板决定。
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- 策略:优先从用户自然描述推断,只追问未提及的必填项;追问的数量与节奏由你自主把握,一次不要问太多以免用户负担。
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- 策略:优先从用户自然描述推断,只追问未提及的必填项;追问的数量与节奏由你自主把握。
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### 阶段 3:内容生成
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