---
license: mit
language:
- en
- zh
tags:
- agent-skills
- gingiris
- workflow
- research
pretty_name: Gr Competitor
---
# gr-competitor

适用于分析对手、找对标、竞品扫描与早期付费客户研究；先明确决策与适配条件， 再按证据分析历史、定价、博客和渠道，输出用户假设、需求验收与最小增长实验。

## Use this workflow / 使用场景

Category: **Research**. Version: **0.4.0**. Distribution checked: **2026-11-08**.

This repository distributes an agent instruction package, not a training dataset. Read the task scope and prerequisites in [SKILL.md](SKILL.md) before running it.
这是 Agent 操作指南包，不是训练数据集。输入、产出、前置条件与完整步骤以 SKILL.md 为准。

## Install from the maintained source / 安装

```bash
npx skills add Gingiris-1031/gingiris-skills --skill gr-competitor
```

For an offline copy, download the complete folder including references and scripts; downloading only this README is insufficient. OpenClaw users should follow the [source installation guide](https://github.com/Gingiris-1031/gingiris-skills/blob/main/OPENCLAW.md); runtime compatibility is separate from file availability.

## Start with a concrete task / 开始使用

Provide your product or source material, target audience/market, current constraint and desired deliverable. Ask the agent to apply `gr-competitor`, separate observations from hypotheses, and identify missing evidence before external actions. Examples in a guide are not proof of your own results.

请提供产品或原始材料、目标用户/市场、当前约束和期望交付物。要求 Agent 使用 `gr-competitor`，区分事实、假设和待验证项；涉及对外操作时遵循你的授权范围。

## Source and updates

[Maintained source](https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-competitor) · [Report an issue](https://github.com/Gingiris-1031/gingiris-skills/issues) · [Browse workflows](https://tools.gingiris.com/skills/)

MIT licensed. No guaranteed ranking, revenue or audience growth. Platform listing and download counts do not establish successful execution.