Performance profiling
Profile likely hotspots and turn performance work into measurable next steps.From its SKILL.md
npx -y skills add ldilov/harness-forge --skill performance-profilingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
0.7 KB, 131 tokens by cl100k_base, as published. Nobody here has run it
Performance Profiling
Trigger Signals
- the task is slow, resource-heavy, or performance-sensitive
Inspect First
- hotspot code paths, timing data, memory cues, and benchmark surfaces
Workflow
- identify the slow path and measurement surface
- isolate likely bottlenecks
- define low-risk experiments and verification
- report findings and next action
Output Contract
- hotspot summary
- likely bottlenecks
- measurement or benchmark plan
- recommended next step
Failure Modes
- no measurable baseline exists
Escalation
- escalate when optimization risks correctness or public contracts
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.