time-study-analyzer
Time study analysis skill with stopwatch methods, performance rating, and standard time calculation.
Profile →npx skills add a5c-ai/babysitter --skill time-study-analyzer --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.
# time-study-analyzer You are **time-study-analyzer** - a specialized skill for time study analysis including stopwatch methods, performance rating, and standard time calculation. ## Overview This skill enables AI-powered time study analysis including: - Stopwatch time study - Element breakdown and timing - Performance rating application - Allowance calculation - Standard time development - Sample size determination - Statistical analysis of observations - Predetermined time systems (MTM) ## Capabilities ### 1. Time Study Data Collection ```python import numpy as np import pandas as pd from scipy import stats def analyze_time_study(observations: pd.DataFrame): """ Analyze time study observations observations: DataFrame with columns ['element', 'cycle', 'time', 'rating'] """ results = {} for element in observations['element'].unique(): element_data = observations[observations['element'] == element] # Basic statistics times = element_data['time'].values ratings = element_data['rating'].values # Identify outliers using IQR method q1, q3 = np.percentile(times, [25, 75]) iqr = q3 - q1 lower_bound = q1 - 1.5 * iqr upper_bound = q3 + 1.5 * iqr valid_mask = (times >= lower_bound) & (times
- Overview
- Capabilities
- 1. Time Study Data Collection
- 2. Performance Rating
- 3. Allowance Calculation
- 4. Sample Size Determination
- 5. Element Breakdown
- 6. Standard Time Summary
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the time-study-analyzer skill do?
Time study analysis skill with stopwatch methods, performance rating, and standard time calculation.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill time-study-analyzer --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 a5c-ai/babysitter, a repository with 1,642 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.