Agent skill

capacity-planner

Capacity requirements planning skill with demand-capacity gap analysis and capacity strategy recommendations

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/operations/skills/capacity-planner

Metadata

Additional technical details for this skill

domain
business
category
capacity-planning
specialization
operations

SKILL.md

Capacity Planner

Overview

The Capacity Planner skill provides comprehensive capabilities for capacity requirements planning. It supports demand-capacity gap analysis, strategy modeling, resource loading analysis, and what-if scenario analysis to ensure adequate capacity for meeting customer demand.

Capabilities

  • Capacity requirements calculation
  • Demand forecast integration
  • Gap analysis visualization
  • Lead, lag, match strategy modeling
  • Resource loading analysis
  • Rough-cut capacity planning
  • What-if scenario analysis
  • Capacity investment justification

Used By Processes

  • CAP-001: Capacity Requirements Planning
  • CAP-003: Sales and Operations Planning
  • CAP-002: Production Scheduling Optimization

Tools and Libraries

  • ERP/MRP systems
  • Capacity planning software
  • Forecasting tools
  • Scenario modeling platforms

Usage

yaml
skill: capacity-planner
inputs:
  planning_horizon: 12  # months
  demand_forecast:
    - month: 1
      units: 10000
    - month: 2
      units: 11000
    # ... additional months
  resource_capacities:
    - resource: "Assembly Line 1"
      available_hours: 160
      efficiency: 0.85
      units_per_hour: 50
    - resource: "Assembly Line 2"
      available_hours: 160
      efficiency: 0.80
      units_per_hour: 45
  capacity_options:
    - option: "Add overtime"
      cost: 1.5  # multiplier
      capacity_increase: 25  # percent
    - option: "New equipment"
      cost: 500000
      capacity_increase: 100  # percent
outputs:
  - capacity_requirements
  - gap_analysis
  - resource_loading
  - strategy_recommendations
  - investment_analysis

Capacity Planning Process

Step 1: Calculate Requirements

Capacity Required = Demand / (Units per Hour x Efficiency)

Example:
- Demand: 10,000 units
- Rate: 50 units/hour
- Efficiency: 85%
- Required: 10,000 / (50 x 0.85) = 235 hours

Step 2: Assess Available Capacity

Effective Capacity = Available Hours x Efficiency x Utilization Target

Step 3: Identify Gaps

Capacity Gap = Capacity Required - Effective Capacity

Capacity Strategies

Strategy Description When to Use
Lead Build capacity ahead of demand Growth markets, competitive advantage
Lag Add capacity after demand materializes Uncertain demand, capital constraints
Match Incrementally add capacity Moderate growth, balanced approach

Resource Loading Analysis

Load Level % Utilization Action
Under-loaded < 70% Consider reduction or consolidation
Optimal 70-85% Maintain current state
Fully loaded 85-95% Monitor closely, plan additions
Over-loaded > 95% Immediate action required

What-If Scenarios

Common scenarios to analyze:

  1. Demand increase of 20%
  2. Equipment breakdown
  3. Labor shortage
  4. New product introduction
  5. Seasonal peak periods

Integration Points

  • ERP/MRP systems
  • Demand planning systems
  • Financial planning tools
  • HR workforce planning

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results