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optimize-initializing-speed

Use when optimizing VM Initializing-to-Running latency while preserving functionality and low implementation complexity.

Skill by kernel

IndexedMIT★ 371
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Use when optimizing VM Initializing-to-Running latency while preserving functionality and low implementation complexity.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/optimize-initializing-speed

What's inside

Skill name
optimize-initializing-speed
Description
Use when optimizing VM Initializing-to-Running latency while preserving functionality and low implementation complexity.
License
MIT
Instructions
27 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Optimize Initializing Speed

## Goal
Minimize `Create/Start -> Running` latency without removing functionality. Base your decisions on what to optimize by using real measurements.

## Priority Levers
1. Keep `Running` gated only on `program-start` + `agent-ready` markers.
2. Replace readiness polling with event-driven signaling
3. Move heavy non-critical setup (kernel headers) off the critical path (ask permission from user if moving logic to async / could be still processing after Running is set).
4. Add fast-path checks (skip work when already installed/valid).
5. Parallelize independent init stages with simple barriers (no DAG engine). Avoid parallel tasks that are likely to conflict.

## Guardrails
- Keep guest-agent gate strict unless `skip_guest_agent=true`.
- Preserve lifecycle semantics and blocked/allowed operations in `Initializing`.

## Measurement Protocol
1. Measure baseline and candidate on the same host with the same 5-run harness.
2. Report per-run samples + median/mean/min/max.
3. Validate full regression suite before merge.

## Required Outputs
- Exact before/after latency numbers.
- Short breakdown of biggest contributors.
- Risk notes, if any

From kernel/hypeman, MIT.

Signals

Stars
371
Forks
30
Open issues
6
Last commit (this folder)
Mar 10, 2026 (7 months ago)
Last release
Aug 5, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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optimize-initializing-speed skill. Agent Mart. https://agentmart.dev/skills/kernel-optimize-initializing-speed (last updated 2026-10-24)