fix(skills): 补回 #56 压缩时误删的实质信息(意图对齐) (#57)

## 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).
This commit is contained in:
2026-07-19 16:14:22 +08:00
committed by GitHub
parent d52e61e041
commit 74be106952
13 changed files with 41 additions and 23 deletions

View File

@@ -1,7 +1,7 @@
---
name: delete-agent
description: 安全删除指定的智能体及其关联数据。删除前会验证智能体状态支持可选地删除所有会话历史。Use when 用户需要删除不再使用的智能体。
version: 2.5.1
version: 2.5.2
type: meta
risk_level: high
status: enabled
@@ -24,14 +24,14 @@ metadata:
short_desc: 安全删除智能体及其关联数据,支持多重确认与可选历史清理
description: 安全删除指定的智能体及其关联数据。删除前会验证智能体状态支持可选地删除所有会话历史。Use when 用户需要删除不再使用的智能体。
body: ./SKILL.zh-CN.md
source_hash: sha256:7037971bb67e0953
source_hash: sha256:d5eb268aa5209e88
translated_by: human
en-US:
name: Delete Agent
short_desc: Safely delete an Agent and its associated data, with multi-step confirmation and optional history cleanup
description: Safely delete a specified Agent and its associated data. Verifies the Agent's state before deletion and optionally removes all session history. Use when the user needs to delete an Agent that is no longer in use.
body: ./SKILL.md
source_hash: sha256:7037971bb67e0953
source_hash: sha256:d5eb268aa5209e88
translated_by: ai:claude-fable-5
translated_at: '2026-07-19'
market:
@@ -63,7 +63,7 @@ Safely delete a specified Agent and its associated data (filesystem, in-memory s
## L1: Overview
Meta-skill: list candidates → confirm intent (irreversible) → ask whether to delete history → execute via `ManageAgent(action='delete')`. Its value is what the tool can't give: candidate filtering with status guidance, and intent confirmation before deletion. The tool guarantees the multi-way refusals (core agent / self / active state) and team cascading.
Meta-skill: list candidates → confirm intent (irreversible) → ask whether to delete history → execute via `ManageAgent(action='delete')`. Use it to clean up Agents that are no longer used, test/experimental, or need storage reclaimed. Its value is what the tool can't give: candidate filtering with status guidance, and intent confirmation before deletion. The tool guarantees the multi-way refusals (core agent / self / active state) and team cascading.
## L2: Detailed Spec