Performance Debug
Diagnosing and resolving performance bottlenecks and latency issues
Install
$ agentstack add skill-dongduong2001-pudo-code-system-performance ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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.[](https://agentstack.voostack.com/security/report/skill-dongduong2001-pudo-code-system-performance) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →About
Performance Debugging Skill
This skill focuses on identifying, analyzing, and resolving performance-related issues such as slow response times, CPU spikes, and UI lag.
When to use this skill
- When the application is responding slower than SLAs allow.
- When CPU usage is unexpectedly high.
- When identifying database query bottlenecks (N+1 queries, missing indexes).
Guidelines
- Measure First: Do not guess. Use profilers, APMs (Datadog, New Relic), and logging to find the bottleneck.
- Isolate the Scope: Determine if the issue is in the frontend, network, backend, or database layer.
- Algorithmic Complexity: Check for accidental O(n^2) or worse loops.
- Caching: Consider if a caching layer (Redis, Memcached) can bypass the heavy computation.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: DongDuong2001
- Source: DongDuong2001/pudo-code-system
- License: MIT
- Homepage: https://dongduong2001.github.io/pudo-code-system/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.