Individual skill
performance-capacity
Plan, diagnose, and verify performance budgets, latency targets, load tests, capacity estimates, bottleneck analysis, caching strategy, query efficiency, queue throughput, and regression gates. Use when a feature may be slow, a system must scale, a performance regression is suspected, or release readiness depends on throughput, cost, memory, CPU, or response time.
skills/performance-capacity/SKILL.md
Source commit 238e07625aeca5bcf0d6f7cb3e2d07f94c717194
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 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)
- 290
- Repository last updated
- Nov 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- ai-coding-assistant Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- productivity Repository topic
- automation Repository topic
- agent-skills Repository topic
- code-review Repository topic
- prompt-engineering Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 2,002 bytesagents/openai.yamlasset · 253 bytes
Read excerpt
# Performance Capacity
## Purpose
Use this skill to make performance measurable before optimizing. It turns vague "make it faster" work into budgets, probes, bottleneck hypotheses, and regression gates.
## Baseline First
Before changing code, capture:
1. User-facing operation or background job under test.
2. Current p50/p95/p99 latency or throughput.
3. Data size and concurrency assumptions.
4. Resource limits: CPU, memory, IO, network, database, queue.