performance-investigation
Investigate performance regressions and find opportunities for optimization
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
Get
https://deepseekmodel.com/api/download.php?id=sveltejs-svelte-agents-skills-performance-investigation-skill-md&format=skill
Download .skill
Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name performance-investigation description Investigate performance regressions and find opportunities for optimization Quick start Start from a branch you want to measure (for example foo ). Run: pnpm bench:compare main foo If you pass one branch, bench:compare automatically compares it to main . Where outputs go Summary report: benchmarking/compare/.results/report.txt Raw benchmark numbers: benchmarking/compare/.results/main.json benchmarking/compare/.results/<your-branch>.json CPU profiles (per benchmark, per branch): benchmarking/compare/.profiles/main/*.cpuprofile benchmarking/compare/.profiles/main/*.md benchmarking/compare/.profiles/<your-branch>/*.cpuprofile benchmarking/compare/.profiles/<your-branch>/*.md The .md files are generated summaries of the CPU profile and are usually the fastest way to inspect hotspots. Suggested investigation flow Open benchmarking/compare/.results/report.txt and identify largest regressions first. For each high-delta benchmark, compare: benchmarking/compare/.profiles/main/<benchmark>.md benchmarking/compare/.profiles/<branch>/<benchmark>.md Look for changes in self/inclusive hotspot share in runtime internals ( runtime.js , reactivity/batch.js , reactivity/deriveds.js , reactivity/sources.js ). Make one optimization change at a time, then re-run targeted benches before re-running full compare. Fast benchmark loops Run only selected reactivity benchmarks by substring: pnpm bench kairo_mux kairo_deep kairo_broad kairo_triangle pnpm bench repeated_deps sbench_create_signals mol_owned Tests to run after perf changes Runtime reactivity regressions are most likely in runes runtime tests: pnpm test runtime-runes Helpful script For quick cpuprofile hotspot deltas between two branches: node benchmarking/compare/profile-diff.mjs kairo_mux_owned main foo This prints top function sample-share deltas for the selected benchmark. Practical gotchas bench:compare checks out branches while running. Avoid uncommitted changes (or stash them) so branch switching is safe. Each bench:compare run rewrites benchmarking/compare/.results and benchmarking/compare/.profiles .
Keywords that activate this skill. Click one to copy it.
This skill does not provide trigger words.
The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
The same skill can be exported in different platform formats.