SkillHub

competing

v1.0.0

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

Sourced from ClawHub, Authored by Iván

Installation

Please help me install the skill `competing` from SkillHub official store. npx skills add ivangdavila/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