auto-perf-optimize Skill
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis. Published by microsoft in vscode.
What is auto-perf-optimize Skill?
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis. Published by microsoft in vscode. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Writing
- Data analysis use cases
- Writing use cases
Technical details
- Install or run with Copy skill directory
When to use auto-perf-optimize Skill
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/vscode
- Skill file: .github/skills/auto-perf-optimize/SKILL.md
What it does
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
Skill instructions
VS Code Performance Workflow Drive a repeatable VS Code scenario, collect memory/performance artifacts, verify that the scenario actually happened, then hand the resulting heap snapshots to the generic heap-snapshot-analysis skill when object-level investigation is needed. When to Use - User describes a VS Code workflow and asks whether it leaks or grows memory - User asks the agent to launch VS Code, drive a scenario, and capture heap snapshots - User asks to run the Chat memory smoke runner bundled with this skill - User wants screenshots, summary.json, renderer heap samples, and targeted .heapsnapshot files for one scenario - User wants a new automation runner for a non-Chat VS Code scenario Do not use this skill when snapshots already exist and the user only wants heap object/retainer analysis. Use heap-snapshot-analysis directly. The Story 1. Define the scenario. Write down one warmup action, one repeatable iteration, and one quiescent point where it is fair to force GC and sample
Explore related resources
Frequently asked questions
What is auto-perf-optimize?
auto-perf-optimize is a open-source AI agent skill with Copy skill directory. Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take.
Who is auto-perf-optimize best for?
auto-perf-optimize is best for reusing agent instructions, scripts, and references, data analysis workflows, writing workflows.
How do I install auto-perf-optimize?
Install or run auto-perf-optimize using Copy skill directory. Check auto-perf-optimize for the latest setup command.
Is auto-perf-optimize actively maintained?
auto-perf-optimize may need a closer maintenance check before production use.
Auto-fetched from GitHub.
