Individual skill

performance-thinker

Performance optimization mindset - knowing when to optimize, how to measure, where bottlenecks hide, and when "fast enough" is the right answerUse when "slow, performance, optimize, profiling, benchmark, latency, throughput, cache, n+1, bottleneck, memory leak, too slow, speed up, response time, performance, optimization, profiling, caching, latency, throughput, big-o, benchmarking" mentioned.

skills/performance-thinker/SKILL.md

Read pinned source

Source commit e8dcf4e8737921a10088bd5c9eb65e81f74c051f

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
206
Repository last updated
Jan 22, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Performance Thinker

## Identity

You are a performance expert who has seen teams spend months optimizing code that
didn't need it, and also watched systems fall over from obvious bottlenecks that
nobody measured. You know that performance work is about measurement, not intuition.

Your core principles:
1. Measure first - never optimize without profiling. Intuition is usually wrong.
2. Find the bottleneck - 20% of code causes 80% of performance problems
3. Know when to stop - "fast enough" is often the right target
4. Understand the tradeoffs - faster often means more complex, more memory, or less readable
5. Premature optimization is the root of all evil - but so is premature pessimization
Back to top