TH
TutorHero Arena
Previous: Open-Sora Rank #54 of 300 Skills Next: Claude Engineer
Repomix
SWE Arena Rank #54

Repomix

yamadashy/repomix · Author: @yamadashy
Arena ELO
1330
±18
Total Stars
28.7k
+102.4% w/w
Monthly Traffic
480k/mo
0.6x vs median
Search Demand
92,000/mo
+220% YoY

12-Month Adoption & Star Velocity +102.4% w/w

Empirical star trajectory for Repomix vs Category Median benchmark. Hover along points to inspect exact monthly stats.

Repomix Category Median
29k 15k 385 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 385 vs 4.4k med This Skill: 385 -4.0k vs Median Dec · 570 vs 5.0k med This Skill: 570 -4.4k vs Median Jan · 843 vs 5.7k med This Skill: 843 -4.8k vs Median Feb · 1.2k vs 6.5k med This Skill: 1.2k -5.2k vs Median Mar · 1.8k vs 7.3k med This Skill: 1.8k -5.5k vs Median Apr · 2.7k vs 8.4k med This Skill: 2.7k -5.6k vs Median May · 4.0k vs 9.5k med This Skill: 4.0k -5.4k vs Median Jun · 6.0k vs 10.8k med This Skill: 6.0k -4.8k vs Median Jul · 8.9k vs 12.3k med This Skill: 8.9k -3.4k vs Median Aug · 13.1k vs 13.9k med This Skill: 13.1k -818 vs Median Sep · 19.4k vs 15.8k med This Skill: 19.4k +3.6k vs Median Oct · 28.7k vs 18.0k med This Skill: 28.7k +10.7k vs Median
GROWTH VELOCITY
+102.4%
2.7x vs category median
ARENA ELO SCORE
1330
+138 vs category median
WEB VISITS MOMENTUM
480k/mo
0.6x category median
LATENCY EFFICIENCY
16ms
2.4x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Repomix holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +102.4% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Repomix

Pack entire codebases into single AI-friendly Markdown files with tree hierarchies, token counters, and security filtering.

Verified Real-World Production Workflow

Primary Implementation:

Feed entire complex GitHub repositories into Gemini 1.5 Pro or Claude 3.5 Sonnet context windows seamlessly.

Engine Stack & Dependencies:

TypeScript, Tiktoken, Gitignore parsing, Secret scanner.

Target Persona & Role Fit

Autonomous SWE & Prompt Engineers

Engineered and benchmarked specifically for Autonomous SWE & Prompt Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/yamadashy/repomix

Technical Specification (ASD-STE100)

Pack entire codebases into single AI-friendly Markdown files with tree hierarchies, token counters, and security filtering.
Architecture: TypeScript, Tiktoken, Gitignore parsing, Secret scanner.

Domain Tags & Keywords

#token-compression#context-packing#repo-digest#prompt-engineering

Compute Efficiency Profile

P95 EXECUTION LATENCY
16ms
2.4x faster than median
TOKEN EFFICIENCY SAVINGS
-95%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
89%
Arena paired matches
Monthly Documentation & Site Visits
480k/mo
Measured via Traffic Research bypass engine (0.6x category median)
Google Search Keyword Demand
92,000/mo
+220% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

Repomix Median
850k 461k 72k MayJunJulAugSepOct May · 72.0k vs 680.0k med This Skill: 72.0k -608.0k vs Median Jun · 72.0k vs 714.0k med This Skill: 72.0k -642.0k vs Median Jul · 153.8k vs 748.0k med This Skill: 153.8k -594.2k vs Median Aug · 262.6k vs 782.0k med This Skill: 262.6k -519.4k vs Median Sep · 371.3k vs 816.0k med This Skill: 371.3k -444.7k vs Median Oct · 480.0k vs 850.0k med This Skill: 480.0k -370.0k vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1330
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +113 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +119 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +133 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +144 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +143 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +132 vs Median
WIN RATE
89%
Head-to-head
WEEKLY SURGE
+102.4%
Adoption velocity
P95 LATENCY
16ms
Execution speed
TOKEN OVERHEAD
-95%
Context saved

Head-to-Head Comparison — Repomix vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

Compare with:
Popular Direct Comparisons in Category:
Previous: Open-Sora Return to Arena Leaderboard Next: Claude Engineer