perf-engineering
Skill1 starsChanged 7 days agoNo licenceView on GitHub
Performance engineering guidance for CPU and memory optimization across languages (Rust, C/C++, TypeScript/JavaScript, Go, Python). Use this skill whenever the user asks about optimizing code performance, reducing memory allocations, improving cache locality, SIMD/vectorization, profiling, benchmarking, or any question about making code faster or more memory-efficient. Also trigger when the user mentions: hot loops, allocation pressure, cache misses, false sharing, memory pools, arena allocation, string interning, branch prediction, auto-vectorization, zero-copy, AoS vs SoA, data-oriented design, or profiling tools (perf, flamegraph, Instruments, VTune, cachegrind). Trigger even for indirect performance questions like "why is this slow", "this function is a bottleneck", "how to reduce memory usage", or "should I optimize this".
1 other project uses a version of this.
Adopted by
Most recently taken up by
- yuexueyu/anna-agent-skillstheir own version, first seen Mar 18, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- yuexueyu/anna-agent-skills★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.