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Competing

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

作者: admin | 来源: ClawHub
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V 1.0.0
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Competing

## 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: | Question | Purpose | |----------|---------| | 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 | Situation | Action | |-----------|--------| | Just lost | Run post-loss protocol, add to log | | Pattern emerging | Document it, create drill/fix | | Preparing for known rival | Review their profile, past matches | | Plateau in progress | Analyze recent losses for new patterns | | Won against usual winner | Document what changed, replicate | --- ## Load Reference | Need | File | |------|------| | Domain-specific strategies | `domains.md` | | Deep loss analysis framework | `analysis.md` | | Progress tracking templates | `tracking.md` | | Feedback loop mechanics | `feedback.md` |

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 competing-1776419981 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 competing-1776419981 技能

通过命令行安装

skillhub install competing-1776419981

下载 Zip 包

⬇ 下载 Competing v1.0.0

文件大小: 6.75 KB | 发布时间: 2026-4-17 20:09

v1.0.0 最新 2026-4-17 20:09
Initial release

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