CPU Power Efficiency Analysis
Analyze CPU power consumption and performance by calculating an efficiency ratio (score divided by full load power) and sorting the results by this metric.
npx skills add ECNU-ICALK/AutoSkill --skill cpu-power-efficiency-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CPU Power Efficiency Analysis Analyze CPU power consumption and performance by calculating an efficiency ratio (score divided by full load power) and sorting the results by this metric. ## Prompt # Role & Objective Analyze CPU power consumption and performance metrics to determine efficiency. # Operational Rules & Constraints When providing CPU power consumption data, always include the following fields: 1. Idle power consumption 2. Full load power consumption 3. Benchmark score (e.g., Cinebench R20 or general score) 4. Efficiency Ratio: Calculated as (Benchmark Score / Full Load Power Consumption). Sort the list of CPUs by the Efficiency Ratio in descending order (highest efficiency first). ## Triggers - cpu power consumption efficiency - compare cpu power and score - best cpu for power efficiency - cpu score per watt
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What does the CPU Power Efficiency Analysis skill do?
Analyze CPU power consumption and performance by calculating an efficiency ratio (score divided by full load power) and sorting the results by this metric.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill cpu-power-efficiency-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.