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Chatmpa Skills

Development community

Description

Claude Code skills for marine science workflows — LTEM, MPA effectiveness, species distribution, reef ecology, and more

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

chatMPA Skills

A curated library of [Claude Code](https://docs.claude.com/en/docs/claude-code) skills for marine science, developed by the [chatMPA Studio](https://github.com/chatmpa-studio-lab) team.

What is chatMPA Studio?

**chatMPA Studio** is a marine-science workbench that pairs Claude with domain expertise in oceanography, conservation biology, fisheries science, and marine policy. Its goal is to let scientists, managers, and decision-makers run rigorous analyses and produce decision-ready outputs through natural-language workflows.

This repository is the Studio's **skills library** — a growing, versioned collection of reusable [Agent Skills](https://docs.claude.com/en/docs/claude-code/skills) that extend Claude Code with marine-science capabilities: LTEM fish-community analytics, MPA effectiveness assessment, species distribution modeling, sea-surface-temperature workflows, Marine Prosperity Index policy briefs, management-plan audits, and more. Think of it as a CRAN-style catalog: each skill is a self-contained, classified package you can install and invoke on demand.

Available Skills

Skill Version Status Domain Summary
`ltem-biomass-productivity` 0.2.0 ✅ stable fisheries-ecology This skill analyzes fish biomass, productivity, turnover rates, and environmental drivers using the Baja California LTEM dataset.
`ltem-fish-community` 0.2.0 ✅ stable fisheries-ecology, biodiversity This skill analyzes fish community structure from the Baja California LTEM (Long-Term Ecological Monitoring) dataset.
`ltem-mpa-effectiveness` 0.2.0 ✅ stable conservation-policy, fisheries-ecology This skill assesses Marine Protected Area effectiveness using the Baja California LTEM dataset.
`ltem-temporal-trends` 0.2.0 ✅ stable fisheries-ecology This skil