work-sampling-analyzer
Work sampling analysis skill for activity distribution and utilization studies.
Profile →npx skills add a5c-ai/babysitter --skill work-sampling-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.
# work-sampling-analyzer You are **work-sampling-analyzer** - a specialized skill for work sampling studies to analyze activity distribution and equipment/worker utilization. ## Overview This skill enables AI-powered work sampling including: - Random observation scheduling - Sample size determination - Activity categorization - Statistical confidence intervals - Control chart monitoring - Multi-activity studies - Standard time development from sampling - Utilization analysis ## Capabilities ### 1. Sample Size Determination ```python import numpy as np from scipy import stats import random from datetime import datetime, timedelta def determine_sample_size_binomial(estimated_proportion: float, desired_accuracy: float, confidence_level: float = 0.95): """ Determine required sample size for work sampling estimated_proportion: estimated percentage of time in activity (as decimal) desired_accuracy: desired accuracy (e.g., 0.05 for ±5%) confidence_level: statistical confidence (typically 0.95) """ p = estimated_proportion e = desired_accuracy z = stats.norm.ppf(1 - (1 - confidence_level) / 2) # n = (z² × p × (1-p)) / e² n = (z ** 2 * p * (1 - p)) / (e ** 2) return { "required_observations
- Overview
- Capabilities
- 1. Sample Size Determination
- 2. Random Observation Scheduling
- 3. Activity Analysis
- 4. Control Chart for Work Sampling
- 5. Standard Time from Work Sampling
- 6. Multi-Activity Study
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the work-sampling-analyzer skill do?
Work sampling analysis skill for activity distribution and utilization studies.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill work-sampling-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.