field-analyzer

Deepwater field-specific analysis for major Gulf of Mexico developments and production aggregation

5 stars

Best use case

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

Deepwater field-specific analysis for major Gulf of Mexico developments and production aggregation

Teams using field-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/field-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.claude/skills/data/energy/field-analyzer/SKILL.md"

Manual Installation

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

How field-analyzer Compares

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

Frequently Asked Questions

What does this skill do?

Deepwater field-specific analysis for major Gulf of Mexico developments and production aggregation

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

# Field Analyzer

## When to Use This Skill

Use this skill when you need to:
- Analyze specific deepwater fields (Anchor, Julia, Jack, St. Malo)
- Aggregate production by field across multiple wells/leases
- Compare field performance and economics
- Build field-level type curves
- Track development history and milestones

## Core Pattern

```python
"""
ABOUTME: Field-level analysis for major GOM deepwater developments
ABOUTME: Aggregates wells by field and provides field-specific analytics
"""

from dataclasses import dataclass, field
from typing import List, Dict, Optional
import pandas as pd


@dataclass
class FieldDefinition:
    """Definition of a GOM field."""
    name: str
    operator: str
    development_type: str  # FPSO, TLP, SPAR, SUBSEA
    water_depth_ft: float
    first_production: str  # YYYY-MM
    api_numbers: List[str] = field(default_factory=list)
    lease_numbers: List[str] = field(default_factory=list)
    blocks: List[str] = field(default_factory=list)


# Known Lower Tertiary fields

*See sub-skills for full details.*

## YAML Configuration Template

```yaml
# config/input/field-analysis.yaml

metadata:
  feature_name: "field-analysis"
  created: "2025-01-15"

# Fields to analyze
fields:
  - name: "ANCHOR"
    include_forecast: true
  - name: "JACK"
    include_forecast: true
  - name: "ST_MALO"
    include_forecast: true

# Analysis options
analysis:
  aggregate_by: "month"
  calculate_type_curve: true
  compare_vs_plan: false

# Custom field definitions (optional)
custom_fields:
  - name: "MY_FIELD"

*See sub-skills for full details.*

## CLI Usage

```bash
# Analyze single field
python -m worldenergydata.field_analyzer \
    --field ANCHOR \
    --output reports/anchor_analysis.html

# Compare multiple fields
python -m worldenergydata.field_analyzer \
    --compare JACK ST_MALO JULIA \
    --metric oil_bbl \
    --output reports/lt_comparison.html
```

## Sub-Skills

- [Best Practices](best-practices/SKILL.md)

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