optimize-initializing-speed
Use when optimizing VM Initializing-to-Running latency while preserving functionality and low implementation complexity.
Skill by kernel
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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
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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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.
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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
- Repository
- github.com/kernel/hypeman
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.755score
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Run Hypeman tests on a remote Linux host that supports the Linux hypervisors.
SkillBFreshness: B★ 371Claude Code +9 - 0.755score
monitoring-feature-observability
kernel
Add or adjust monitoring for a Hypeman feature using repository standards for logs, traces, and metrics.
SkillBFreshness: B★ 371Claude Code +9 - 0.622score
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Cite this page
optimize-initializing-speed skill. Agent Mart. https://agentmart.dev/skills/kernel-optimize-initializing-speed (last updated 2026-10-24)