Competing

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

Iván@ivangdavila

Install

openclaw skills install @ivangdavila/competing

Core Framework

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

Analyze the Loss — Don't just lose, understand WHY
Study the Winner — What did they do that you didn't?
Track the Delta — Measure the gap, watch it shrink
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:

text

~/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`