Agent skill

climate-science

Climate physics, forcing, feedback, and attribution. Covers the greenhouse effect and radiative forcing, climate sensitivity, fast and slow feedbacks, the paleoclimate record, detection and attribution science, regional climate impacts, and the distinction between weather, climate variability, and forced climate change. Use when reasoning about global warming mechanisms, interpreting temperature or CO2 records, evaluating attribution claims for extreme events, or distinguishing signal from natural variability.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill climate-science --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/climate-science/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Climate Science Climate science is the intersection of atmospheric physics, oceanography, paleoclimatology, and statistics, unified by the question of how Earth's energy budget behaves across scales from weather to billions of years. This skill covers the core machinery: the greenhouse effect, radiative forcing, climate sensitivity, feedbacks, the paleoclimate record, detection and attribution, and regional impacts. The content is grounded in the published IPCC literature and avoids both dismissal and catastrophism. **Agent affinity:** commoner (systems and feedbacks), leopold (ecological consequences at land scale), carson (persistent perturbations and their pathways) **Concept IDs:** envr-greenhouse-effect, envr-climate-feedbacks, envr-climate-evidence, envr-attribution-science ## The Planetary Energy Budget At equilibrium, the energy Earth absorbs from the Sun equals the energy Earth radiates to space. The global mean incoming solar flux at the top of atmosphere is 340 W/m^2 (the solar constant ~1361 W/m^2 divided by 4 for the Earth's sphere-to-disk ratio). Of that: - ~100 W/m^2 is reflected back to space (planetary albedo ~0.3, from clouds, ice, and surfaces). - ~240 W/m^2 is

What's inside
Steps it walks through
  1. The Planetary Energy Budget
  2. The Greenhouse Effect
  3. Why some molecules absorb infrared and others do not
  4. Current contributions
  5. Radiative Forcing and Climate Sensitivity
  6. Radiative forcing
  7. Climate sensitivity
  8. Feedbacks
  9. Fast feedbacks (years to decades)
  10. Slow feedbacks (centuries to millennia)
  11. The Paleoclimate Record
  12. Detection and Attribution
  13. Observed global temperature
  14. Attribution approaches
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the climate-science skill do?

Climate physics, forcing, feedback, and attribution. Covers the greenhouse effect and radiative forcing, climate sensitivity, fast and slow feedbacks, the paleoclimate record, detection and attribution science, regional climate impacts, and the distinction between weather, climate variability, and forced climate change. Use when reasoning about global warming mechanisms, interpreting temperature or CO2 records, evaluating attribution claims for extreme events, or distinguishing signal from natural variability.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill climate-science --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going