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feat: skills i18n 改造（schemaVersion 1.1，零向后兼容） (#1)

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* feat: skills i18n 改造 — schemaVersion 1.1，零向后兼容

把 21 个 skills + 1 个 agent + manifest/categories 全量迁移到 schemaVersion 1.1
的 i18n 结构，配套 CI AI 翻译流水线（GitHub Models）与本地工具链。

## 关键变更

### 数据结构（破坏性，schemaVersion 1.0 → 1.1）
- SKILL.md: 顶层 name 改为 ASCII slug（== 目录名，符合 agentskills.io 规范）；
  中文显示名/short_desc/description 全部迁入 metadata.i18n.<locale>
- agents/<id>/agent.json: shortDesc/fullDesc/tags/persona.{role,traits} 迁入
  i18n.<locale>；changelog[].changes 改为 { <locale>: string[] } 对象
- categories.json: 每个分类的 label/description 迁入 i18n.<locale>，顶层只剩
  color/icon
- manifest.json: 加 supportedLocales / defaultLocale；顶层 description 迁入
  i18n.<locale>

### Body 文件结构
- 根 SKILL.md = frontmatter + default_locale (en-US) body
- SKILL.<locale>.md = 各 locale 的 markdown body（首行 <!-- locale: xx --> 自校验）

### 工具链（scripts/i18n/）
- glossary.json: zh→en 术语表 + do_not_translate 白名单
- schema/skill-frontmatter.schema.json: i18n frontmatter JSON Schema
- validate-i18n.py: 8 条校验规则（name 合规 / locale 完整性 / hash 一致性等）
- translate.py: GitHub Models / Anthropic 双 backend，sha256 增量翻译
- migrate.py: 一次性迁移脚本（旧格式 → i18n 结构）

### CI（.github/workflows/）
- i18n-validate.yml: PR 触发跑 validate + translate --check
- i18n-translate.yml: PR 触发用 GitHub Models（默认 openai/gpt-5-mini）翻译缺失
  locale，自动追加 commit；可切到 ANTHROPIC_API_KEY 走 Claude

### 文档
- docs/I18N.md: 作者贡献指南（schema 说明 / 提交流程 / 常见问题）
- README.md: 加多语言段落

## 验证

- uv run scripts/i18n/validate-i18n.py: OK，49 文件 0 错误
- uv run scripts/i18n/translate.py --check: 0 stale locale
- 21 skills 标题数 zh-CN == en-US 严格对齐（最大 66=66）
- skills-ref 规范校验：全部通过（顶层 name ASCII slug + description 单字段）

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(i18n): 修复 PR #1 review 反馈的 6 项问题

- schema: translated_by 正则放宽为 ^(human|ai:[A-Za-z0-9._:/-]+)$，接受
  'ai:github:openai/gpt-5-mini' 这类 backend:model 形式（CI 翻译输出格式）
- README + docs/I18N.md: 修正"CI 用 Claude API"误导描述，正确说明默认是
  GitHub Models（openai/gpt-5-mini）+ GITHUB_TOKEN，可选切到 Anthropic
- skills/minimax-tts/SKILL.md & SKILL.zh-CN.md: 删除多余的 ``` 闭合，避免
  Markdown 后续渲染错乱
- skills/docx/SKILL.md: 翻译时丢失的 • Unicode escape 示例已恢复，
  与 zh-CN 版本对齐

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
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2026-05-05 00:26:33 +08:00
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parent 1c107a9344
commit 1f7c8b9673
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418
skills/manage-skills/SKILL.md
View File

@@ -1,5 +1,5 @@
---
name: 管理技能
name: manage-skills
description: >-
管理 Agent 的技能生命周期：通过 HTTP API 导入、安装、更新、删除技能，
或通过 AgentFS 文件系统直接编写符合规范的 SKILL.md。Use when 用户要求
@@ -18,6 +18,29 @@ tags:
metadata:
author: desirecore
updated_at: '2026-03-03'
i18n:
default_locale: en-US
source_locale: zh-CN
locales:
- zh-CN
- en-US
zh-CN:
name: 管理技能
short_desc: 导入、编写、安装与管理 Agent 技能的完整工具箱
description: >-
管理 Agent 的技能生命周期：通过 HTTP API 导入、安装、更新、删除技能， 或通过 AgentFS 文件系统直接编写符合规范的 SKILL.md。Use when 用户要求 安装技能、从 URL/Git 导入技能、编写新技能、或管理已有技能。
body: ./SKILL.zh-CN.md
source_hash: sha256:7f116cc5de352822
translated_by: human
en-US:
name: Manage Skills
short_desc: Complete toolbox for importing, authoring, installing, and managing Agent Skills
description: >-
Manage the Skill lifecycle of an Agent: import, install, update, and delete Skills via HTTP API, or directly author standards-compliant SKILL.md files via the AgentFS filesystem. Use when the user requests to install Skills, import Skills from URL/Git, author new Skills, or manage existing Skills.
body: ./SKILL.md
source_hash: sha256:7f116cc5de352822
translated_by: ai:claude-opus-4-7
translated_at: '2026-05-03'
market:
icon: >-
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0
@@ -30,7 +53,6 @@ market:
stroke-width="2" stroke-linecap="round"/><circle cx="18" cy="6" r="3"
fill="#34C759" fill-opacity="0.9"/><path d="M17 6h2M18 5v2"
stroke="white" stroke-width="1.2" stroke-linecap="round"/></svg>
short_desc: 导入、编写、安装与管理 Agent 技能的完整工具箱
category: productivity
maintainer:
name: DesireCore Official
@@ -39,46 +61,46 @@ market:
channel: latest
---
# manage-skills 技能
# manage-skills Skill
## L0：一句话摘要
## L0: One-line Summary
管理技能的完整生命周期——导入、编写、安装、更新、删除。
Manage the full lifecycle of Skills—import, author, install, update, and delete.
## L1：概述与使用场景
## L1: Overview and Use Cases
### 能力描述
### Capability
manage-skills 是一个**元技能（Meta-Skill）**，赋予 DesireCore 管理技能系统的能力。它涵盖 5 种核心操作：
manage-skills is a **Meta-Skill** that gives DesireCore the ability to manage the Skill system. It covers five core operations:
1. **从 URL 导入技能** — 指定远程 SKILL.md 文件 URL，抓取内容并创建
2. **从 Git 仓库批量导入** — 克隆 Git 仓库，扫描所有 SKILL.md，选择性导入
3. **通过 API 管理已有技能** — 列出、读取、更新、删除、启用/禁用技能
4. **通过 AgentFS 直接编写 SKILL.md** — 使用 Write/Edit 工具在文件系统创建技能
5. **批量操作与跨 Agent 复制** — 批量启用/禁用/删除，以及复制技能到其他 Agent
1. **Import a Skill from a URL** — supply a remote SKILL.md URL, fetch the content, and create
2. **Bulk import from a Git repository** — clone a Git repo, scan all SKILL.md files, and selectively import
3. **Manage existing Skills via API** — list, read, update, delete, enable/disable Skills
4. **Author SKILL.md directly via AgentFS** — use the Write/Edit tools to create Skills on the filesystem
5. **Bulk operations and cross-Agent copying** — bulk enable/disable/delete, plus copy Skills to other Agents
### 使用场景
### Use Cases
- 用户想从 GitHub 等平台导入社区分享的技能
- 用户想给某个 Agent 安装新技能、增强其能力
- 用户需要编写自定义技能教会 Agent 新的工作流程
- 用户想批量管理已有技能（启用/禁用/删除）
- 用户想把一个 Agent 的技能复制给另一个 Agent
- 用户需要查看或编辑某个技能的内容
- The user wants to import community-shared Skills from platforms like GitHub
- The user wants to install a new Skill on an Agent to enhance its capabilities
- The user needs to author a custom Skill to teach the Agent a new workflow
- The user wants to bulk-manage existing Skills (enable/disable/delete)
- The user wants to copy one Agent's Skill to another Agent
- The user needs to view or edit the contents of a Skill
### 核心价值
### Core Value
- **自我扩展**：Agent 可通过导入或编写技能，自主扩展能力边界
- **可治理**：所有技能变更通过 API 或文件系统操作，可追溯、可审计
- **灵活性**：支持 API 导入和文件系统直写两种方式，适应不同场景
- **Self-extension**: an Agent can autonomously expand its capability boundary by importing or authoring Skills
- **Governable**: every Skill change goes through the API or filesystem operations and is traceable and auditable
- **Flexibility**: supports both API import and direct filesystem authoring to fit different scenarios
## L2：详细规范
## L2: Detailed Specification
### 1. 从 URL 导入单个技能
### 1. Import a Single Skill from a URL
适用于导入单个 SKILL.md 文件（如 GitHub raw 链接）。
For importing a single SKILL.md file (e.g. a GitHub raw link).
**步骤 1：抓取远程内容**
**Step 1: Fetch the remote content**
```bash
POST /api/skills/fetch-url
@@ -89,25 +111,25 @@ Content-Type: application/json
}
```
**成功响应**（`200 OK`）：
**Success response** (`200 OK`):
```json
{
"content": "---\nname: 我的技能\ndescription: ...\n---\n\n# 技能内容..."
"content": "---\nname: My Skill\ndescription: ...\n---\n\n# Skill content..."
}
```
**安全限制**：
**Security limits**:
- 仅允许 HTTPS URL
- 文件大小上限 20MB
- 请求超时 30 秒
- HTTPS URLs only
- 20MB file size limit
- 30-second request timeout
**步骤 2：创建技能**
**Step 2: Create the Skill**
抓取成功后，根据作用域选择创建端点：
After a successful fetch, choose the creation endpoint based on scope:
**创建全局技能**（所有 Agent 可见）：
**Create a global Skill** (visible to all Agents):
```bash
POST /api/skills
@@ -115,11 +137,11 @@ Content-Type: application/json
{
"skillId": "my-skill",
"content": "<上一步返回的 content>"
"content": "<content returned in the previous step>"
}
```
**创建 Agent 级技能**（仅指定 Agent 可见）：
**Create an Agent-scoped Skill** (visible only to the specified Agent):
```bash
POST /api/agents/{agentId}/skills
@@ -127,24 +149,24 @@ Content-Type: application/json
{
"id": "my-skill",
"fullContent": "<上一步返回的 content>"
"fullContent": "<content returned in the previous step>"
}
```
**成功响应**（`201 Created`）：
**Success response** (`201 Created`):
```json
{
"success": true,
"skill": { "id": "my-skill", "name": "我的技能", "description": "..." }
"skill": { "id": "my-skill", "name": "My Skill", "description": "..." }
}
```
### 2. 从 Git 仓库批量导入
### 2. Bulk Import from a Git Repository
适用于导入包含多个技能的 Git 仓库。
For importing a Git repository that contains multiple Skills.
**步骤 1：扫描仓库**
**Step 1: Scan the repository**
```bash
POST /api/skills/fetch-git
@@ -155,7 +177,7 @@ Content-Type: application/json
}
```
**成功响应**（`200 OK`）：
**Success response** (`200 OK`):
```json
{
@@ -163,53 +185,53 @@ Content-Type: application/json
{
"id": "data-analysis",
"path": "data-analysis",
"content": "---\nname: 数据分析\n...",
"content": "---\nname: Data Analysis\n...",
"sidecarFiles": [{ "name": "examples.md", "content": "..." }]
},
{
"id": "report-writing",
"path": "report-writing",
"content": "---\nname: 报告撰写\n..."
"content": "---\nname: Report Writing\n..."
}
]
}
```
API 会自动：
The API automatically:
- 使用 `--depth=1` 浅克隆以减少下载量
- 递归扫描目录中的 SKILL.md 文件
- 从目录名推导 skillId（fallback 从 frontmatter name 生成 slug）
- 收集同目录的 sidecar 文件（如 examples.md, references/ 等）
- 完成后自动清理临时目录
- Uses `--depth=1` shallow clone to reduce download size
- Recursively scans for SKILL.md files in directories
- Derives skillId from the directory name (falls back to a slug from the frontmatter name)
- Collects sidecar files in the same directory (e.g. examples.md, references/)
- Cleans up the temporary directory once finished
**步骤 2：逐个导入选中的技能**
**Step 2: Import the chosen Skills one by one**
向用户展示扫描结果列表，让用户选择要导入的技能，然后逐个调用创建 API：
Show the scan results to the user and let them choose which Skills to import, then call the create API for each:
```bash
# 全局技能
# Global Skill
POST /api/skills
{ "skillId": "data-analysis", "content": "<content>" }
# 或 Agent 级技能
# Or Agent-scoped Skill
POST /api/agents/{agentId}/skills
{ "id": "data-analysis", "fullContent": "<content>" }
```
**sidecarFiles 处理**：如果扫描结果包含 sidecarFiles，需要在创建技能后将它们写入对应目录：
**Handling sidecarFiles**: if the scan result contains sidecarFiles, after creating the Skill write them to the corresponding directory:
```bash
# 全局技能的 sidecar 文件路径
# Sidecar file path for a global Skill
~/.desirecore/skills/{skillId}/{filename}
# Agent 级技能的 sidecar 文件路径
# Sidecar file path for an Agent-scoped Skill
~/.desirecore/agents/{agentId}/skills/{skillId}/{filename}
```
### 3. 通过 API 管理已有技能
### 3. Manage Existing Skills via API
#### 列出所有技能
#### List All Skills
```bash
GET /api/skills/list
@@ -217,77 +239,77 @@ GET /api/skills/list?agentId={agentId}
GET /api/skills/list?includeDisabled=true
```
返回包含 project、agent、global 三级作用域的技能列表。
Returns a Skill list covering all three scopes: project, agent, and global.
#### 列出指定 Agent 的技能
#### List Skills for a Specific Agent
```bash
GET /api/agents/{agentId}/skills
```
#### 读取技能内容
#### Read Skill Content
```bash
# 按作用域优先级自动解析
# Resolved automatically by scope priority
GET /api/skills/{skillId}/content
GET /api/skills/{skillId}/content?agentId={agentId}
# 读取指定 Agent 的技能
# Read a specific Agent's Skill
GET /api/agents/{agentId}/skills/{skillId}
```
#### 更新技能内容
#### Update Skill Content
**更新全局技能**：
**Update a global Skill**:
```bash
PUT /api/skills/{skillId}/content
Content-Type: application/json
{
"content": "---\nname: 更新后的技能\n...\n---\n\n# 新内容..."
"content": "---\nname: Updated Skill\n...\n---\n\n# New content..."
}
```
**更新 Agent 级技能**：
**Update an Agent-scoped Skill**:
```bash
PUT /api/agents/{agentId}/skills/{skillId}
Content-Type: application/json
{
"content": "---\nname: 更新后的技能\n...\n---\n\n# 新内容...",
"content": "---\nname: Updated Skill\n...\n---\n\n# New content...",
"bumpVersion": "minor"
}
```
`bumpVersion` 可选值：`major` | `minor` | `patch`，指定后自动递增版本号。内容变化时系统会自动更新 `metadata.updated_at`。
`bumpVersion` accepts: `major` | `minor` | `patch`; when specified, the version number is auto-incremented. The system automatically updates `metadata.updated_at` whenever the content changes.
#### 删除技能
#### Delete a Skill
```bash
# 删除全局技能
# Delete a global Skill
DELETE /api/skills/{skillId}
# 删除 Agent 级技能
# Delete an Agent-scoped Skill
DELETE /api/agents/{agentId}/skills/{skillId}
```
#### 启用/禁用技能
#### Enable/Disable a Skill
```bash
# 全局技能
# Global Skill
PATCH /api/skills/{skillId}/status
Content-Type: application/json
{ "enabled": false }
# Agent 级技能
# Agent-scoped Skill
PATCH /api/agents/{agentId}/skills/{skillId}/status
Content-Type: application/json
{ "enabled": true }
```
#### 批量操作
#### Bulk Operations
```bash
POST /api/agents/{agentId}/skills/batch
@@ -299,9 +321,9 @@ Content-Type: application/json
}
```
`action` 可选值：`enable` | `disable` | `delete`
`action` accepts: `enable` | `disable` | `delete`
#### 复制技能到其他 Agent
#### Copy a Skill to Another Agent
```bash
POST /api/agents/{targetAgentId}/skills/copy
@@ -314,31 +336,31 @@ Content-Type: application/json
}
```
可选参数：
Optional parameters:
- `sourceAgentId` — 源 Agent ID（从 agent 级复制时必填）
- `sourceSource` — 源作用域：`project` | `agent` | `global`
- `sourceWorkDir` — 源 project workDir（从 project 级复制时使用）
- `targetSkillId` — 目标技能 ID（不填则沿用 sourceSkillId）
- `sourceAgentId` — source Agent ID (required when copying from agent scope)
- `sourceSource` — source scope: `project` | `agent` | `global`
- `sourceWorkDir` — source project workDir (used when copying from project scope)
- `targetSkillId` — target Skill ID (defaults to sourceSkillId if omitted)
### 4. 通过 AgentFS 直接编写 SKILL.md
### 4. Author SKILL.md Directly via AgentFS
当需要从零创建技能，或 API 方式不够灵活时，可直接在文件系统编写 SKILL.md。
When you need to create a Skill from scratch or the API approach is not flexible enough, you can author SKILL.md directly on the filesystem.
#### 目录结构
#### Directory Structure
**全局技能**（所有 Agent 可见）：
**Global Skill** (visible to all Agents):
```
~/.desirecore/skills/
└── my-new-skill/
├── SKILL.md # 必须：技能定义文件
├── examples/ # 可选：示例文件
├── scripts/ # 可选：辅助脚本
└── references/ # 可选：参考资料
├── SKILL.md # required: skill definition file
├── examples/ # optional: example files
├── scripts/ # optional: helper scripts
└── references/ # optional: reference material
```
**Agent 级技能**（仅指定 Agent 可见）：
**Agent-scoped Skill** (visible only to the specified Agent):
```
~/.desirecore/agents/{agentId}/
@@ -348,17 +370,17 @@ Content-Type: application/json
└── ...
```
#### SKILL.md 完整格式
#### Full SKILL.md Format
```markdown
---
# === 必填字段 ===
# === Required fields ===
description: >-
技能用途的完整描述。应包含 "Use when" 触发提示，
帮助 AI 判断何时使用该技能。
Full description of the Skill's purpose. Should include a "Use when" trigger hint
to help the AI decide when to use this Skill.
# === 推荐字段 ===
name: 技能显示名称
# === Recommended fields ===
name: Skill display name
version: 1.0.0
type: procedural
risk_level: low
@@ -370,7 +392,7 @@ metadata:
author: your-name
updated_at: '2026-03-03'
# === 可选字段 ===
# === Optional fields ===
disable-model-invocation: true
requires:
tools:
@@ -380,57 +402,57 @@ requires:
- Edit
---
# skill-id 技能
# skill-id Skill
## L0：一句话摘要
## L0: One-line Summary
用一句话描述这个技能做什么。
Describe in one sentence what this Skill does.
## L1：概述与使用场景
## L1: Overview and Use Cases
### 能力描述
### Capability
详细描述技能的核心能力。
Detailed description of the Skill's core capability.
### 使用场景
### Use Cases
- 场景 1
- 场景 2
- Scenario 1
- Scenario 2
### 核心价值
### Core Value
- 价值 1
- 价值 2
- Value 1
- Value 2
## L2：详细规范
## L2: Detailed Specification
### 具体操作步骤
### Concrete Steps
按阶段/步骤详细描述执行流程、API 调用、输入输出格式等。
Describe the execution flow, API calls, and input/output formats stage by stage / step by step.
### 错误处理
### Error Handling
| 错误场景 | 处理方式 |
| Error scenario | Handling |
| -------- | -------- |
| ... | ... |
```
#### 使用 Write 工具创建技能示例
#### Example: Create a Skill with the Write Tool
以下示例展示如何使用 Write 工具创建一个全局技能：
The following example shows how to create a global Skill with the Write tool:
```
目标路径：~/.desirecore/skills/daily-summary/SKILL.md
Target path: ~/.desirecore/skills/daily-summary/SKILL.md
```
写入内容：
Content to write:
```markdown
---
name: 每日摘要
name: Daily Summary
description: >-
汇总当天对话记录，生成结构化的每日工作摘要。
Use when 用户要求总结今天的工作、生成日报、或回顾对话内容。
Aggregates today's conversation records and produces a structured daily work summary.
Use when the user asks for a summary of today's work, generation of a daily report, or a recap of conversation content.
version: 1.0.0
type: procedural
risk_level: low
@@ -444,108 +466,108 @@ metadata:
updated_at: '2026-03-03'
---
# daily-summary 技能
# daily-summary Skill
## L0：一句话摘要
## L0: One-line Summary
汇总当天对话记录，自动生成结构化的工作摘要。
Aggregates today's conversation records and automatically produces a structured work summary.
## L1：概述与使用场景
## L1: Overview and Use Cases
### 能力描述
### Capability
从对话历史中提取关键信息，按项目/主题分类整理，生成包含完成事项、
待办事项和重要决策的每日摘要。
Extracts key information from conversation history, organizes it by project/topic, and produces a daily summary
covering completed items, to-dos, and important decisions.
### 使用场景
### Use Cases
- 用户在一天工作结束时要求总结
- 用户需要生成日报或周报素材
- 用户想回顾某天的对话和决策
- The user asks for a summary at the end of a workday
- The user needs material for a daily or weekly report
- The user wants to recap a particular day's conversation and decisions
## L2：详细规范
## L2: Detailed Specification
### 摘要结构
### Summary Structure
1. 今日完成事项
2. 进行中事项
3. 重要决策和结论
4. 明日待办建议
1. Items completed today
2. Items in progress
3. Important decisions and conclusions
4. Suggested to-dos for tomorrow
```
### 5. SKILL.md 格式参考
### 5. SKILL.md Format Reference
#### Frontmatter 字段表
#### Frontmatter Field Table
| 字段 | 必填 | 类型 | 说明 |
| Field | Required | Type | Description |
| -------------------------- | -------- | -------- | -------------------------------------------------- |
| `description` | **必填** | string | 技能用途描述，建议包含 "Use when" 触发提示 |
| `name` | 推荐 | string | 技能显示名称 |
| `version` | 推荐 | string | 语义版本号（如 `1.0.0`） |
| `type` | 推荐 | enum | `procedural` / `conversational` / `meta` |
| `risk_level` | 推荐 | enum | `low` / `medium` / `high` |
| `status` | 推荐 | enum | `enabled` / `disabled` |
| `tags` | 可选 | string[] | 标签列表，用于搜索和分类 |
| `disable-model-invocation` | 可选 | boolean | `true`=L0+L1 自动注入 system prompt；`false`=L0+L1+L2 完整内容注入；默认 `true` |
| `requires` | 可选 | object | 依赖声明：`tools`、`optional_tools`、`connections` |
| `metadata` | 可选 | object | 元信息：`author`、`updated_at` |
| `market` | 可选 | object | 市场展示元数据（仅市场发布的技能需要） |
| `description` | **Required** | string | Skill purpose description; including a "Use when" trigger hint is recommended |
| `name` | Recommended | string | Skill display name |
| `version` | Recommended | string | Semantic version (e.g. `1.0.0`) |
| `type` | Recommended | enum | `procedural` / `conversational` / `meta` |
| `risk_level` | Recommended | enum | `low` / `medium` / `high` |
| `status` | Recommended | enum | `enabled` / `disabled` |
| `tags` | Optional | string[] | List of tags, used for search and categorization |
| `disable-model-invocation` | Optional | boolean | `true` = L0+L1 auto-injected into the system prompt; `false` = full L0+L1+L2 content injected; default `true` |
| `requires` | Optional | object | Dependency declaration: `tools`, `optional_tools`, `connections` |
| `metadata` | Optional | object | Meta information: `author`, `updated_at` |
| `market` | Optional | object | Market display metadata (only required for Skills published to the Market) |
#### type 说明
#### type Description
| 类型 | 含义 | 示例 |
| Type | Meaning | Examples |
| ---------------- | ------------------------ | ---------------------- |
| `procedural` | 流程型，按步骤执行 | 数据分析流程、审批流程 |
| `conversational` | 对话型，通过多轮对话完成 | 需求收集、头脑风暴 |
| `meta` | 元技能，管理其他资源 | 创建 Agent、管理技能 |
| `procedural` | Procedural; executed step by step | Data analysis flow, approval flow |
| `conversational` | Conversational; completed through multi-turn dialogue | Requirements gathering, brainstorming |
| `meta` | Meta-Skill that manages other resources | Creating Agents, managing Skills |
#### Markdown Body 结构（L0 / L1 / L2）
#### Markdown Body Structure (L0 / L1 / L2)
| 层级 | 内容 | 用途 |
| Tier | Content | Purpose |
| ---- | ----------------------------------- | ------------------ |
| L0 | 一句话摘要 | 快速理解技能做什么 |
| L1 | 能力描述 + 使用场景 + 核心价值 | 判断是否适用 |
| L2 | 详细规范：步骤、API、格式、错误处理 | 具体执行指南 |
| L0 | One-line summary | Quickly understand what the Skill does |
| L1 | Capability + Use Cases + Core Value | Decide whether it applies |
| L2 | Detailed specification: steps, APIs, formats, error handling | Concrete execution guide |
### 6. 作用域说明
### 6. Scope Notes
技能存在三个作用域层级，按优先级从高到低：
Skills exist at three scope levels, listed from highest priority to lowest:
| 优先级 | 作用域 | 路径 | 可见范围 |
| Priority | Scope | Path | Visibility |
| ------ | ---------- | ---------------------------------------- | ------------------ |
| 最高 | Project 级 | `.claude/skills/` (项目根目录) | 当前项目所有 Agent |
| 中 | Agent 级 | `~/.desirecore/agents/{agentId}/skills/` | 仅该 Agent |
| 最低 | Global 级 | `~/.desirecore/skills/` | 所有 Agent |
| Highest | Project | `.claude/skills/` (project root) | All Agents in the current project |
| Medium | Agent | `~/.desirecore/agents/{agentId}/skills/` | Only that Agent |
| Lowest | Global | `~/.desirecore/skills/` | All Agents |
**同名覆盖规则**：高优先级作用域的同名技能会覆盖低优先级的。例如 Agent 级有一个 `data-analysis` 技能，会覆盖全局同名技能。
**Same-name override rule**: a Skill in a higher-priority scope overrides a same-named Skill in a lower-priority scope. For example, an Agent-scoped `data-analysis` Skill will shadow a global Skill of the same name.
### 7. 错误处理
### 7. Error Handling
| 错误码 | 场景 | 处理方式 |
| Error code | Scenario | Handling |
| ------ | ----------------------------- | -------------------------------------- |
| 400 | 缺少必填字段或格式无效 | 提示用户检查输入，说明哪个字段有问题 |
| 400 | SKILL.md frontmatter 校验失败 | 展示校验错误详情，引导用户修正 |
| 404 | 技能不存在 | 提示技能 ID 可能拼写错误，列出可用技能 |
| 404 | Git 仓库中无 SKILL.md | 提示仓库格式不符合技能规范 |
| 409 | 技能已存在（冲突写入） | 建议使用 PUT 更新而非 POST 创建 |
| 413 | 远程文件超过 20MB | 提示文件过大，建议精简内容 |
| 504 | URL 抓取超时 | 提示网络超时，建议检查 URL 或稍后重试 |
| 500 | 服务器内部错误 | 提示用户稍后再试 |
| 400 | Missing required fields or invalid format | Prompt the user to check the input and explain which field is problematic |
| 400 | SKILL.md frontmatter validation failed | Show validation error details and guide the user to fix |
| 404 | Skill does not exist | Note the Skill ID may be misspelled, list available Skills |
| 404 | No SKILL.md in the Git repo | Note the repository's format does not match the Skill spec |
| 409 | Skill already exists (write conflict) | Suggest using PUT to update instead of POST to create |
| 413 | Remote file exceeds 20MB | Note the file is too large; suggest trimming the content |
| 504 | URL fetch timeout | Note the network timed out; suggest checking the URL or retrying later |
| 500 | Server internal error | Tell the user to retry later |
### 8. 权限说明
### 8. Permission Notes
- 建议优先通过 `Bash` 工具调用 curl 访问 Agent Service HTTP API 完成操作
- API 基础地址已注入到 system prompt 的「本机 API」小节，直接引用即可
- 导入和创建操作建议先向用户展示预览，获得确认后再执行
- 删除操作需要用户明确确认
- 通过 AgentFS 编写技能时，使用 Write 工具创建文件即可
- It is recommended to use the `Bash` tool to call the Agent Service HTTP API via curl
- The API base address is already injected into the system prompt's "Local API" section; you can reference it directly
- For import and create operations, show the user a preview first and proceed only after confirmation
- Deletions require explicit user confirmation
- When authoring Skills via AgentFS, simply use the Write tool to create the file
### 背景知识
### Background Knowledge
> AgentFS 仓库结构、排查要点与受保护路径详见 `_agentfs-background.md` 和 `_protected-paths.yaml`。
> AgentFS repository structure, troubleshooting tips, and protected paths are detailed in `_agentfs-background.md` and `_protected-paths.yaml`.
### 依赖
### Dependencies
- Agent Service HTTP API（Skills 路由组）
- System prompt 中的本机 API 地址声明
- Write / Edit 工具（AgentFS 直写场景）
- Agent Service HTTP API (Skills route group)
- The local API address declaration in the system prompt
- Write / Edit tools (for the AgentFS direct-authoring scenario)