cycle-time-analyzer

Cycle time analysis and reduction skill with process timing, bottleneck identification, and flow improvement

509 stars

Best use case

cycle-time-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Cycle time analysis and reduction skill with process timing, bottleneck identification, and flow improvement

Teams using cycle-time-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/cycle-time-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/business/operations/skills/cycle-time-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/cycle-time-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How cycle-time-analyzer Compares

Feature / Agentcycle-time-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Cycle time analysis and reduction skill with process timing, bottleneck identification, and flow improvement

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Cycle Time Analyzer

## Overview

The Cycle Time Analyzer skill provides comprehensive capabilities for analyzing and reducing cycle times. It supports time and motion studies, takt time comparison, line balancing, and value stream cycle efficiency calculations.

## Capabilities

- Time and motion study
- Cycle time distribution analysis
- Takt time comparison
- Line balancing analysis
- Bottleneck visualization
- Queue time identification
- Value stream cycle efficiency
- Improvement simulation

## Used By Processes

- LEAN-001: Value Stream Mapping
- LEAN-005: Standard Work Documentation
- TOC-001: Constraint Identification and Exploitation

## Tools and Libraries

- Time study software
- Process mining tools
- Simulation software
- Video analysis tools

## Usage

```yaml
skill: cycle-time-analyzer
inputs:
  process: "Assembly Line A"
  takt_time: 60  # seconds
  workstations:
    - name: "Station 1"
      cycle_times: [55, 58, 52, 60, 57]
    - name: "Station 2"
      cycle_times: [62, 65, 63, 61, 64]
    - name: "Station 3"
      cycle_times: [48, 50, 47, 52, 49]
  value_stream_data:
    total_lead_time: 10  # days
    value_added_time: 45  # minutes
outputs:
  - cycle_time_summary
  - bottleneck_analysis
  - line_balance_chart
  - improvement_recommendations
  - cycle_efficiency
```

## Cycle Time Components

| Component | Definition | Example |
|-----------|------------|---------|
| Cycle Time | Total time to complete one unit | 60 seconds |
| Process Time | Time spent processing | 45 seconds |
| Queue Time | Time waiting in queue | 2 hours |
| Move Time | Time spent moving | 5 minutes |
| Setup Time | Time to changeover | 30 minutes |

## Time Study Process

### Step 1: Preparation
- Select process to study
- Break down work elements
- Prepare observation form
- Train observer

### Step 2: Observation
- Multiple cycle observations
- Document each element
- Note abnormalities
- Capture variability

### Step 3: Analysis
- Calculate averages
- Identify variation sources
- Compare to takt time
- Identify improvement opportunities

## Line Balance Efficiency

```
Line Balance Efficiency = Sum of Cycle Times / (Number of Stations x Longest Cycle Time)

Example:
Station 1: 57 sec
Station 2: 63 sec
Station 3: 49 sec

Efficiency = (57 + 63 + 49) / (3 x 63) = 169 / 189 = 89.4%
```

## Value Stream Cycle Efficiency

```
Cycle Efficiency = Value-Added Time / Total Lead Time

Example:
Value-Added Time: 45 minutes
Total Lead Time: 10 days = 14,400 minutes

Cycle Efficiency = 45 / 14,400 = 0.31%
```

## Bottleneck Identification

Signs of a bottleneck:
- Longest cycle time
- WIP accumulation before station
- Downstream stations starved
- Overtime required

## Improvement Strategies

| Strategy | Application |
|----------|-------------|
| Eliminate | Remove non-value-added work |
| Combine | Merge small tasks |
| Rearrange | Optimize sequence |
| Simplify | Reduce complexity |
| Parallelize | Run tasks simultaneously |
| Automate | Use technology |

## Integration Points

- Manufacturing Execution Systems
- Time tracking systems
- Simulation software
- ERP systems

Related Skills

terraform-analyzer

509
from a5c-ai/babysitter

Specialized skill for analyzing Terraform configurations. Supports parsing, security scanning (tfsec, checkov), cost estimation (infracost), drift detection, and plan visualization across AWS, Azure, and GCP.

db-query-analyzer

509
from a5c-ai/babysitter

Analyze database query performance with execution plans and index recommendations

code-complexity-analyzer

509
from a5c-ai/babysitter

Analyze code complexity metrics including cyclomatic complexity, code smells, and technical debt

cloudformation-analyzer

509
from a5c-ai/babysitter

Validate and analyze AWS CloudFormation templates for security and best practices

semantic-code-analyzer

509
from a5c-ai/babysitter

LLM-powered semantic analysis of code diffs to detect business-logic trojans

sast-analyzer

509
from a5c-ai/babysitter

Static Application Security Testing orchestration and analysis. Execute Semgrep, Bandit, ESLint security plugins, CodeQL, and other SAST tools. Parse, prioritize, and deduplicate findings across multiple tools with remediation guidance.

crypto-analyzer

509
from a5c-ai/babysitter

Cryptographic implementation analysis and validation for encryption algorithms, key sizes, and certificate management

semver-analyzer

509
from a5c-ai/babysitter

Analyze code changes and determine semantic version bumps. Detect breaking changes automatically, suggest version bump (major/minor/patch), generate changelog entries, and validate version consistency.

api-diff-analyzer

509
from a5c-ai/babysitter

Compare API specifications to detect breaking changes. Compare OpenAPI spec versions, categorize changes by severity, generate migration guides, and block breaking changes in CI.

process-analyzer

509
from a5c-ai/babysitter

Analyze processes, identify workflows, define boundaries and scope, and map process requirements for specialization creation.

opencl-runtime

509
from a5c-ai/babysitter

Cross-vendor OpenCL runtime management and kernel development. Query platforms/devices, generate portable OpenCL C kernel code, handle vendor-specific extensions, manage contexts and command queues, compile and cache programs.

scope-logic-analyzer

509
from a5c-ai/babysitter

Test equipment integration for signal analysis (oscilloscope and logic analyzer)