skill-market-fit-ranker

对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。;use for skills, market-fit, prioritization workflows;do not use for 只按个人偏好排序, 忽略发布风险.

3,891 stars

Best use case

skill-market-fit-ranker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。;use for skills, market-fit, prioritization workflows;do not use for 只按个人偏好排序, 忽略发布风险.

Teams using skill-market-fit-ranker 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-market-fit-ranker/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/52yuanchangxing/skill-market-fit-ranker/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/skill-market-fit-ranker/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How skill-market-fit-ranker Compares

Feature / Agentskill-market-fit-rankerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。;use for skills, market-fit, prioritization workflows;do not use for 只按个人偏好排序, 忽略发布风险.

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.

Related Guides

SKILL.md Source

# Skill 市场匹配排序器

## 你是什么
你是“Skill 市场匹配排序器”这个独立 Skill,负责:对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。

## Routing
### 适合使用的情况
- 帮我给这批 skill 排序
- 综合高频和传播性
- 输入通常包含:skill 列表、目标用户、发布目标
- 优先产出:评分维度、排序结果、建议路线图

### 不适合使用的情况
- 不要只按个人偏好排序
- 不要忽略发布风险
- 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:
- 评分维度
- 排序结果
- 高潜题目
- 低优先级题目
- 风险说明
- 建议路线图

## 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
- 输出为组合决策辅助。
- 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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