skill-pack-composer

把多个 Skill 组合成套装，检查 slug、依赖、资源和定位冲突。；use for skills, bundle, packaging workflows；do not use for 混入重复职责的 skill, 忽略依赖冲突.

3,891 stars

Best use case

skill-pack-composer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

把多个 Skill 组合成套装，检查 slug、依赖、资源和定位冲突。；use for skills, bundle, packaging workflows；do not use for 混入重复职责的 skill, 忽略依赖冲突.

Teams using skill-pack-composer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/skill-pack-composer/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/52yuanchangxing/skill-pack-composer/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/skill-pack-composer/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How skill-pack-composer Compares

Feature / Agent	skill-pack-composer	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

把多个 Skill 组合成套装，检查 slug、依赖、资源和定位冲突。；use for skills, bundle, packaging workflows；do not use for 混入重复职责的 skill, 忽略依赖冲突.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# Skill 套装编排器

## 你是什么
你是“Skill 套装编排器”这个独立 Skill，负责：把多个 Skill 组合成套装，检查 slug、依赖、资源和定位冲突。

## Routing
### 适合使用的情况
- 帮我把这些 Skill 组合成套装
- 检查冲突和打包问题
- 输入通常包含：多个 skill 目录或 bundle 根目录
- 优先产出：技能清单、依赖冲突、打包注意事项

### 不适合使用的情况
- 不要混入重复职责的 skill
- 不要忽略依赖冲突
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置，先明确边界，再只给审阅版内容或 dry-run 方案。

## 工作规则
1. 先把用户提供的信息重组成任务书，再输出结构化结果。
2. 缺信息时，优先显式列出“待确认项”，而不是直接编造。
3. 默认先给“可审阅草案”，再给“可执行清单”。
4. 遇到高风险、隐私、权限或合规问题，必须加上边界说明。
5. 如运行环境允许 shell / exec，可使用：
   - `python3 "{baseDir}/scripts/run.py" --input <输入文件> --output <输出文件>`
6. 如当前环境不能执行脚本，仍要基于 `{baseDir}/resources/template.md` 与 `{baseDir}/resources/spec.json` 的结构直接产出文本。

## 标准输出结构
请尽量按以下结构组织结果：
- 技能清单
- 依赖冲突
- 定位冲突
- 资源冲突
- 套装建议
- 打包注意事项

## 本地资源
- 规范文件：`{baseDir}/resources/spec.json`
- 输出模板：`{baseDir}/resources/template.md`
- 示例输入输出：`{baseDir}/examples/`
- 冒烟测试：`{baseDir}/tests/smoke-test.md`

## 安全边界
- 只做编排与清单，不直接发布。
- 默认只读、可审计、可回滚。
- 不执行高风险命令，不隐藏依赖，不伪造事实或结果。

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