技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: profiler

英文目录

Visual profiler for Python

4.0K
Stars
69/100
信任
分类: coding-agents审计

eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!

729
Stars
73/100
信任
分类: devops审计

Visual Python and C++ nanosecond profiler, logger, tests enabler

2.2K
Stars
68/100
信任
分类: coding-agents审计

Monitor and profiler powered by eBPF to monitor network traffic, and diagnose CPU and network performance.

236
Stars
69/100
信任
分类: devops审计

Type System for Data Analysis in Python

221
Stars
65/100
信任
分类: data-analysis审计

Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to 📝 Schake, Bolz, et al. (2025), https://doi.org/10.1093/nar/gkaf361

689
Stars
69/100
信任
分类: geo-science审计

This repo, provides query profiler for .Net

108
Stars
65/100
信任
分类: data-analysis审计

Fast native networking primitives for React Native built on Nitro Modules — react-native-nitro-fetch, react-native-nitro-websockets, and react-native-nitro-text-decoder. Covers the fetch API, global replacement, prefetching and cold-start cache warming, the NitroWebSocket class and pre-warming, migrating from React Native's built-in WebSocket, the in-process NetworkInspector, native Perfetto / Instruments tracing, the native TextDecoder, and plugging nitro-fetch into axios via a custom adapter.

161
Stars
68/100
信任
分类: research审计

DORMANT (ADR-0017, 2026-07-20) - the TERMINAL VELOCITY scroll-film was retired and apps/landing is a static site with no GL surface; this skill is preserved for any future WebGL rebuild (conventions, verified version pins, playhead/scroll-rig/VAT/Gerstner/post-chain patterns, budgets, gate + semantic-layer machinery). Do not load for current apps/landing work - the static site routes to project-steward.

48
Stars
60/100
信任
分类: design-creative审计

Database Profiler for Laravel Web and Console Applications.

168
Stars
61/100
信任
分类: data-analysis审计