home / skills / a5c-ai / babysitter / lca-analyzer
This skill performs life cycle assessment to evaluate environmental impacts and guide sustainable process design decisions.
npx playbooks add skill a5c-ai/babysitter --skill lca-analyzerReview the files below or copy the command above to add this skill to your agents.
---
name: lca-analyzer
description: Life Cycle Assessment skill for environmental impact evaluation and sustainability analysis
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- Bash
metadata:
specialization: chemical-engineering
domain: science
category: Sustainability
skill-id: CE-SK-023
---
# LCA Analyzer Skill
## Purpose
The LCA Analyzer Skill performs Life Cycle Assessment to evaluate environmental impacts across process life cycles and support sustainable process design decisions.
## Capabilities
- Goal and scope definition
- Life cycle inventory (LCI) development
- Impact assessment (LCIA)
- Carbon footprint calculation
- Water footprint analysis
- Energy analysis
- Sensitivity analysis
- Comparative assessments
- Hot spot identification
## Usage Guidelines
### When to Use
- Evaluating process sustainability
- Comparing design alternatives
- Calculating carbon footprints
- Identifying improvement opportunities
### Prerequisites
- Process data available
- System boundaries defined
- Impact categories selected
- Inventory databases accessible
### Best Practices
- Follow ISO 14040/14044
- Document assumptions clearly
- Perform sensitivity analysis
- Use peer review for public claims
## Process Integration
This skill integrates with:
- Process Sustainability Assessment
- Green Chemistry Metrics Evaluation
- Energy Efficiency Optimization
## Configuration
```yaml
lca-analyzer:
standards:
- ISO-14040
- ISO-14044
impact-methods:
- CML
- ReCiPe
- TRACI
databases:
- ecoinvent
- US-LCI
- GaBi
```
## Output Artifacts
- LCA reports
- Impact assessment results
- Comparative analyses
- Hot spot analysis
- Improvement recommendations
This skill performs Life Cycle Assessment (LCA) to evaluate environmental impacts across product and process lifecycles and support sustainable decision making. It produces inventory datasets, impact assessments (LCIA), carbon and water footprints, and clear hot-spot and improvement recommendations. Outputs are designed for integration into process design, reporting, and comparative analyses.
The skill guides goal and scope definition, collects life cycle inventory (LCI) data, selects impact methods and databases, and runs LCIA calculations (e.g., CML, ReCiPe, TRACI). It computes carbon, water, and energy footprints, runs sensitivity analyses, and identifies hot spots where changes give the largest environmental benefit. Results are exported as LCA reports, comparative tables, and actionable improvement recommendations.
What input data are required?
You need process-level inventory data, defined system boundaries, chosen impact categories, and access to an LCI database.
Which impact methods are supported?
Common methods such as CML, ReCiPe, and TRACI are supported; choose based on region and reporting needs.