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Anthropic Computer Use
SWE Arena Rank #166

Anthropic Computer Use

anthropics/anthropic-quickstarts · Author: @anthropics
Arena ELO
1233
±21
Total Stars
17.8k
+10.2% w/w
Monthly Traffic
2.1M/mo
2.5x vs median
Search Demand
120,000/mo
+92% (Surging) YoY

12-Month Adoption & Star Velocity +10.2% w/w

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

Anthropic Computer Use Category Median
18k 9k 915 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 915 vs 4.4k med This Skill: 915 -3.5k vs Median Dec · 1.2k vs 5.0k med This Skill: 1.2k -3.8k vs Median Jan · 1.6k vs 5.7k med This Skill: 1.6k -4.1k vs Median Feb · 2.1k vs 6.5k med This Skill: 2.1k -4.4k vs Median Mar · 2.7k vs 7.3k med This Skill: 2.7k -4.7k vs Median Apr · 3.5k vs 8.4k med This Skill: 3.5k -4.8k vs Median May · 4.6k vs 9.5k med This Skill: 4.6k -4.9k vs Median Jun · 6.1k vs 10.8k med This Skill: 6.1k -4.7k vs Median Jul · 7.9k vs 12.3k med This Skill: 7.9k -4.3k vs Median Aug · 10.4k vs 13.9k med This Skill: 10.4k -3.6k vs Median Sep · 13.6k vs 15.8k med This Skill: 13.6k -2.2k vs Median Oct · 17.8k vs 18.0k med This Skill: 17.8k -189 vs Median
GROWTH VELOCITY
+10.2%
1.9x vs category median
ARENA ELO SCORE
1233
+41 vs category median
WEB VISITS MOMENTUM
2.1M/mo
2.5x category median
LATENCY EFFICIENCY
95ms
0.4x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, Anthropic Computer Use holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +10.2% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose Anthropic Computer Use

Official reference implementations for Claude 3.7 / 3.5 Sonnet computer use, Model Context Protocol (MCP) clients, and automated financial agents.

Verified Real-World Production Workflow

Primary Implementation:

Equipping Claude agents with desktop OS GUI control, keyboard/mouse actions, and standardized MCP tool connectors.

Engine Stack & Dependencies:

Docker, Python, Claude Computer Use API, MCP client bridge.

Target Persona & Role Fit

Claude AI Engineers

Engineered and benchmarked specifically for Claude AI Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/anthropics/anthropic-quickstarts

Technical Specification (ASD-STE100)

Official reference implementations for Claude 3.7 / 3.5 Sonnet computer use, Model Context Protocol (MCP) clients, and automated financial agents.
Architecture: Docker, Python, Claude Computer Use API, MCP client bridge.

Domain Tags & Keywords

#Computer Use#Claude 3.7#MCP#GUI Automation#Anthropic

Compute Efficiency Profile

P95 EXECUTION LATENCY
95ms
0.4x faster than median
TOKEN EFFICIENCY SAVINGS
-55%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
78%
Arena paired matches
Monthly Documentation & Site Visits
2.1M/mo
Measured via Traffic Research bypass engine (2.5x category median)
Google Search Keyword Demand
120,000/mo
+92% (Surging) YoY expansion

6-Month Web Traffic Velocity

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

Anthropic Computer Use Median
2.1M 1.3M 494k MayJunJulAugSepOct May · 493.5k vs 680.0k med This Skill: 493.5k -186.5k vs Median Jun · 814.8k vs 714.0k med This Skill: 814.8k +100.8k vs Median Jul · 1.14M vs 748.0k med This Skill: 1.14M +388.1k vs Median Aug · 1.46M vs 782.0k med This Skill: 1.46M +675.4k vs Median Sep · 1.78M vs 816.0k med This Skill: 1.78M +962.7k vs Median Oct · 2.10M vs 850.0k med This Skill: 2.10M +1.25M 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.

1233
±21 CI
1k 1k 1k MayJunJulAugSepOct May · 1.2k vs 1.2k med This Skill: 1.2k +16 vs Median Jun · 1.2k vs 1.2k med This Skill: 1.2k +22 vs Median Jul · 1.2k vs 1.2k med This Skill: 1.2k +36 vs Median Aug · 1.2k vs 1.2k med This Skill: 1.2k +47 vs Median Sep · 1.2k vs 1.2k med This Skill: 1.2k +46 vs Median Oct · 1.2k vs 1.2k med This Skill: 1.2k +35 vs Median
WIN RATE
78%
Head-to-head
WEEKLY SURGE
+10.2%
Adoption velocity
P95 LATENCY
95ms
Execution speed
TOKEN OVERHEAD
-55%
Context saved

Head-to-Head Comparison — Anthropic Computer Use vs 300 Skills

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

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