SKILL verified MIT Self-run

Performance Analysis

Name: Performance Analysis
Availability: InStock
Author: ligyDt

skill-ligydt-ai-ide-init-template-performance-analysis · by ligyDt

定位复杂度、慢查询、渲染卡顿、构建缓慢、接口延迟或资源消耗问题，并形成可验证的性能优化与重构计划。

↗ Repository

— No reviews yet

0 installs

21 views

0.0% view→install

Install

$ agentstack add skill-ligydt-ai-ide-init-template-performance-analysis

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

Links to your public security report.

[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-ligydt-ai-ide-init-template-performance-analysis)

Reliability & compatibility

✓ Security review passed

0 installs to date

— no reviews yet

● 3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →

Are you the author of Performance Analysis? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.

About

性能分析与重构

流程

先定义性能目标、基线指标、复现条件和用户可感知影响。
优先使用项目已有 profiling、日志、监控、benchmark 或测试命令收集证据。
区分算法复杂度、I/O、并发、缓存、数据库、前端渲染、构建链路等瓶颈来源。
提出小步可回滚优化，避免未量化收益的大范围重写。
输出优化前后对比、风险、回滚方式和后续观测指标。

输出

问题现象与性能基线
热点定位证据
优化方案与影响范围
验证命令或观测指标
回滚与残余风险

停止条件

缺少目标、范围、运行环境或高风险授权时，先澄清或输出待确认事项，不擅自接入外部写入、支付、部署或生产资源。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: ligyDt
Source: ligyDt/ai-ide-init-template
License: MIT

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Write a review

Versions

v0.1.0 Imported from the upstream source.