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competingcompeting 分析

Agent Skill

competing 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

19,059

周安装

771

GitHub Stars

2

下载量

5,983
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:competing(competing 分析)
来源仓库:https://github.com/ivangdavila/competing
安装命令:
openclaw skills install competing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install competing

简介

competing 系统分析竞争失败原因并追踪对手进展,支持战略迭代优化。

  • 适用于产品发布、市场进入或创新项目推进前的竞争态势评估场景。
  • 输出包含差距识别、获胜者复盘与监测计划的行动清单。
  • 通过 openclaw skills install competing 安装,需输入竞争对手名单与关注维度。
  • 数据依赖公开信息,对封闭市场或私有企业分析可能存在盲区,需谨慎解读。

SKILL.md

name
Competing
description
Improve systematically by analyzing losses, studying winners, and tracking progress against rivals in any competitive domain.

Core Framework

Competition is a learning accelerator. Every loss contains the lesson that wins don't.

  1. Analyze the Loss — Don't just lose, understand WHY
  2. Study the Winner — What did they do that you didn't?
  3. Track the Delta — Measure the gap, watch it shrink
  4. Iterate — Apply lessons, compete again, repeat

The Post-Loss Protocol

After any competitive loss, extract value:

QuestionPurpose
At what moment did the outcome shift?Find the decision point
What did they do that I didn't?Identify the winning move
What would I do differently?Formulate the lesson
Is this a pattern?Check history for repeats

Don't rationalize. Don't blame externals. Extract the actionable insight.


Tracking (What to Measure)

Create a tracking folder in the user's workspace:

~/competing/
├── domains/           # Per-domain tracking
├── rivals.md          # Opponent profiles
├── log.md             # Win/loss log with lessons
└── progress.md        # Metrics over time

For each domain, track:

  • Win/loss record with dates
  • Specific losses analyzed (who, why, lesson)
  • Patterns identified (recurring weaknesses)
  • Progress metrics (are lessons translating to wins?)

Rival Intelligence

Know your competition:

  • Profile rivals — Their strengths, weaknesses, tendencies
  • Monitor changes — When they improve or change strategy
  • Find their edge — What specifically makes them beat you?
  • Study up — Find examples of them losing, analyze what worked

Quick Reference

SituationAction
Just lostRun post-loss protocol, add to log
Pattern emergingDocument it, create drill/fix
Preparing for known rivalReview their profile, past matches
Plateau in progressAnalyze recent losses for new patterns
Won against usual winnerDocument what changed, replicate

Load Reference

NeedFile
Domain-specific strategiesdomains.md
Deep loss analysis frameworkanalysis.md
Progress tracking templatestracking.md
Feedback loop mechanicsfeedback.md

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.31%
按下载量换算5,044

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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