feat: climatologist skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:44:15 +02:00
commit 3feaae29bf
9 changed files with 893 additions and 0 deletions

31
PROVENANCE.md Normal file
View File

@@ -0,0 +1,31 @@
# Data provenance — climatologist
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — climatologist
"ESCO (occupation & competences)" : 32
"O*NET (tasks & tools)" : 117
"Job boards (market evidence)" : 53
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 141
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 32 | 9.2 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 117 | 33.6 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 53 | 15.2 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.4 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 141 | 40.5 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

57
SKILL.md Normal file
View File

@@ -0,0 +1,57 @@
---
name: climatologist
description: "Occupational skill for the role 'climatologist' (also: climatology scientist, climate research scientist, climatology research analyst, climatology scholar, climate scientist, climate researcher). Use when the user asks for typical climatologist work such as: Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling.; Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.; Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices."
---
# Climatologist
Climatologists study the average change in weather and climate from a long-term perspective. They research and analyse historic weather conditions in order to forecast climatic conditions trends such as changes in temperature, global warming, or regional evolutive weather conditions. They use these findings for advising on environmental policy, construction, agricultural projects, and societal matters.
## Core workflow
1. Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling.
2. Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.
3. Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices.
4. Consult with other offices, agencies, professionals, or researchers regarding the use and interpretation of climatological information for weather predictions and warnings.
5. Analyze historical climate information, such as precipitation or temperature records, to help predict future weather or climate trends.
6. Prepare weather reports or maps for analysis, distribution, or use in weather broadcasts, using computer graphics.
7. Apply meteorological knowledge to issues such as global warming, pollution control, or ozone depletion.
8. Develop or use mathematical or computer models for weather forecasting.
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- advise on weather-related issues
- analyse weather forecast
- carry out meteorological research
- climate change impact
- climatology
- collect weather-related data
- conduct research across disciplines
- conduct research on climate processes
- meteorology
- perform scientific research
- statistics
## Hot technologies
- IBM SPSS Statistics
- SAS
- The MathWorks MATLAB
- Microsoft Access
- Structured query language SQL
- Microsoft Outlook
- Adobe Photoshop
- C++
- Perl
- Python
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/3dbd758c-6dc0-41fe-8248-2250c9bfa4ab), O*NET 30.3 (19-2021.00). See manifest.json for licensing/attribution.*

202
manifest.json Normal file
View File

@@ -0,0 +1,202 @@
{
"name": "climatologist",
"title": "climatologist",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/3dbd758c-6dc0-41fe-8248-2250c9bfa4ab",
"esco_code": "2112.1.2",
"isco_group": "2112",
"onet_soc": "19-2021.00",
"crosswalk_match": "closeMatch"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 27,
"dwas": 27,
"skills_essential": 11,
"skills_optional": 20,
"software": 62
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 2
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 9
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 9
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 11
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 12
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 12
},
"claude-world/director-mode-lite": {
"repo": "https://github.com/claude-world/director-mode-lite",
"commit": "9d0c333",
"license": "MIT",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 5
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 2
},
"BrianRWagner/ai-marketing-skills": {
"repo": "https://github.com/BrianRWagner/ai-marketing-skills",
"commit": "f36b34f",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"BrianRWagner/ai-marketing-claude-code-skills": {
"repo": "https://github.com/BrianRWagner/ai-marketing-claude-code-skills",
"commit": "f36b34f",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"pedrohcgs/claude-code-my-workflow": {
"repo": "https://github.com/pedrohcgs/claude-code-my-workflow",
"commit": "be53c12",
"license": "MIT",
"skills": 2
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 1
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"wanshuiyin/Auto-claude-code-research-in-sleep": {
"repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"commit": "eb5c9d7",
"license": "MIT",
"skills": 2
},
"OpenRaiser/NanoResearch": {
"repo": "https://github.com/OpenRaiser/NanoResearch",
"commit": "7144364",
"license": "MIT",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 2
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 2
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 32,
"onet": 117,
"jobads": 53,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 141,
"stackx": 0
},
"share_percent": {
"esco": 9.2,
"onet": 33.6,
"jobads": 15.2,
"wiki_ai": 0.0,
"anthropic": 1.4,
"ai_skills": 40.5,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

274
references/ai-skills.md Normal file
View File

@@ -0,0 +1,274 @@
# External AI agent skills — climatologist
Proven, publicly available AI agent skills mapped to this occupation.
Nothing is copied from the sources: every entry is a name, a one-line
summary and a link to the upstream skill package. Each section names
its source repository, commit, license and retrieval date.
**Tiers:** `core` = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; `adjacent` =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
## Source: anthropics/skills
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
## Source: a5c-ai/babysitter
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `meta-analysis-engine` | core | Skill for conducting meta-analyses of research findings | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/meta-analysis-engine) |
| `quantitative-methods` | core | Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods) |
| `planning-patterns` | core | Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/cc10x/skills/planning-patterns) |
| `iso14971-risk-analyzer` | core | Comprehensive risk management skill implementing ISO 14971:2019 methodology for medical device risk analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/biomedical-engineering/skills/iso14971-risk-analyzer) |
| `regression-analyzer` | core | Skill for comprehensive regression analysis and modeling | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/regression-analyzer) |
## Source: BrianRWagner/ai-marketing-claude-code-skills
- Repository: [https://github.com/BrianRWagner/ai-marketing-claude-code-skills](https://github.com/BrianRWagner/ai-marketing-claude-code-skills) (commit `f36b34f`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `last30days` | core | Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research. | [source](https://github.com/BrianRWagner/ai-marketing-claude-code-skills/tree/f36b34f/last30days) |
## Source: BrianRWagner/ai-marketing-skills
- Repository: [https://github.com/BrianRWagner/ai-marketing-skills](https://github.com/BrianRWagner/ai-marketing-skills) (commit `f36b34f`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `last30days` | core | Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research. | [source](https://github.com/BrianRWagner/ai-marketing-skills/tree/f36b34f/last30days) |
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
- License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `research-ideation` | core | This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/research-ideation) |
| `econ-audit` | core | Audit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/58-charlescoverdale-econstack/econ-audit) |
| `new-project` | core | Full research pipeline from idea to paper. Orchestrates all phases — discovery, strategy, analysis, writing, peer review, and submission. Use when starting a new research project from scratch. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/new-project) |
| `academic-baseline` | core | Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/academic-baseline) |
| `ai-ml-skills` | core | 27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/ai-ml) |
| `law-skills` | core | 9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law) |
| `psychology-research-guide` | core | Psychological research methods, experimental design, and analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/psychology-research-guide) |
| `scientify-idea-generation` | core | Generate research ideas from collected papers with gap analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/scientify-idea-generation) |
| `data-scientist` | core | Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Method selection guidance. For syntax, load tool-specific … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist) |
| `diverga` | core | Diverga Dashboard - Live configuration status and feature overview. 24 specialized agents across 9 categories for social science research. VS methodology prevents mode collapse. Human checkpoints enforce human-in-the-loop decisions. … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/diverga) |
| `hud` | core | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
| `paper-summary` | core | Writes expert academic paper summaries for social science research, particularly political science and applied statistics. Use when asked to summarize, review, or create a reading summary of an academic paper, PDF, or research article. … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/22-christopherkenny-skills/skills/paper-summary) |
## Source: claude-world/director-mode-lite
- Repository: [https://github.com/claude-world/director-mode-lite](https://github.com/claude-world/director-mode-lite) (commit `9d0c333`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `handoff-gemini` | core | Delegate long-context analysis, research, and large-document summarization to Google Gemini CLI (1M-token context) via non-interactive `gemini -p`, preserving Claude context. Use when the user says 'use gemini'/'hand off to gemini' or a … | [source](https://github.com/claude-world/director-mode-lite/tree/9d0c333/skills/handoff-gemini) |
## Source: davila7/claude-code-templates
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `denario` | core | Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/denario) |
| `scientific-critical-thinking` | core | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
| `biomni` | core | Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/biomni) |
| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/statistical-analysis) |
| `brenda-database` | core | Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/brenda-database) |
| `citation-management` | core | Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/citation-management) |
| `ensembl-database` | core | Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/ensembl-database) |
| `fda-database` | core | Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/fda-database) |
| `scientific-brainstorming` | core | Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-brainstorming) |
| `scikit-survival` | core | Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scikit-survival) |
| `statsmodels` | core | Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/statsmodels) |
| `venue-templates` | core | Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/venue-templates) |
## Source: ferdinandobons/startup-skill
- Repository: [https://github.com/ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill) (commit `a5f97c3`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `startup-design` | core | Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup … | [source](https://github.com/ferdinandobons/startup-skill/tree/a5f97c3/startup-design) |
## Source: foryourhealth111-pixel/Vibe-Skills
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/geomaster) |
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scholar-evaluation) |
| `denario` | core | Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/denario) |
| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statistical-analysis) |
| `statsmodels` | core | Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statsmodels) |
| `citation-management` | core | Comprehensive citation management for academic research. Resolve bibliographic identifiers, extract accurate metadata, validate citations, deduplicate references, and generate properly formatted BibTeX entries. This skill should be used … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/citation-management) |
| `literature-review` | core | Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/literature-review) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
| `scientific-reporting` | core | Write research/technical reports with strong structure + figure standards. Supports Markdown/HTML/PDF outputs (Quarto optional), executive summary, methods, results, discussion, and reproducibility appendix. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-reporting) |
| `senior-data-scientist` | core | World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/senior-data-scientist) |
| `zarr-python` | core | Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/zarr-python) |
## Source: K-Dense-AI/claude-scientific-skills
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hugging-science) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/geomaster) |
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scholar-evaluation) |
| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/statistical-analysis) |
| `citation-management` | core | Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/citation-management) |
| `venue-templates` | core | Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/venue-templates) |
| `literature-review` | core | Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/literature-review) |
| `research-lookup` | core | Look up current research and scientific information across three backends: fast web search via parallel-cli (default), the Parallel Chat API for deep multi-source synthesis, and Perplexity sonar-pro-search for scholarly paper searches. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/research-lookup) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-critical-thinking) |
## Source: K-Dense-AI/scientific-agent-skills
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hugging-science) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/geomaster) |
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scholar-evaluation) |
| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/statistical-analysis) |
| `citation-management` | core | Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/citation-management) |
| `venue-templates` | core | Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/venue-templates) |
| `literature-review` | core | Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/literature-review) |
| `research-lookup` | core | Look up current research and scientific information across three backends: fast web search via parallel-cli (default), the Parallel Chat API for deep multi-source synthesis, and Perplexity sonar-pro-search for scholarly paper searches. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/research-lookup) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-critical-thinking) |
## Source: nexscope-ai/eCommerce-Skills
- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `price-optimization-tool` | core | Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/price-optimization-tool) |
## Source: nexu-io/open-design
- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `html-ppt-zhangzara-monochrome` | core | A grant proposal on CRISPR base-editing for sickle-cell disease — the hypothesis, the approach, the milestones, and the risk. Built as a decision-grade academic research deck for grant review committee. | [source](https://github.com/nexu-io/open-design/tree/4b66023/design-templates/html-ppt-zhangzara-monochrome) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
## Source: OpenRaiser/NanoResearch
- Repository: [https://github.com/OpenRaiser/NanoResearch](https://github.com/OpenRaiser/NanoResearch) (commit `7144364`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/OpenRaiser/NanoResearch/tree/7144364/skills/vendor-ai-research/academic-plotting) |
## Source: Orchestra-Research/AI-research-SKILLs
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/academic-plotting) |
| `ara-compiler` | core | Compiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact (ARA) with cognitive layer (claims, concepts, heuristics), physical layer … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/22-agent-native-research-artifact/compiler) |
## Source: pedrohcgs/claude-code-my-workflow
- Repository: [https://github.com/pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) (commit `be53c12`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `coauthor-brief` | core | Generate a co-author / collaborator handoff brief for a multi-author, multi-machine project — summarizing what changed since the last brief (git delta), the current state of each artifact (manuscript, analysis, slides), open questions, how … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/coauthor-brief) |
| `teach-from-paper` | core | Turn a research paper into teaching materials — a lecture outline, the 3-5 results worth presenting (with intuition), a slide skeleton ready for `/create-lecture`, discussion questions, and a problem-set brief. Reads the paper end-to-end … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/teach-from-paper) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `data-warehouse-experimentation` | core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
## Source: sanjay3290/ai-skills
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/deep-research) |
## Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `research-lit` | core | Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/research-lit) |
| `research-wiki` | core | Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says \"知识库\", \"research wiki\", … | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/research-wiki) |
## Source: zebbern/claude-code-guide
- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `vc-industry-research` | core | Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/vc-industry-research) |
| `regression-modeler` | core | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |
## Source: zechenzhangAGI/AI-research-SKILLs
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/academic-plotting) |
| `ara-compiler` | core | Compiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact (ARA) with cognitive layer (claims, concepts, heuristics), physical layer … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/22-agent-native-research-artifact/compiler) |

95
references/market.md Normal file
View File

@@ -0,0 +1,95 @@
# Market evidence report — climatologist
Source: **23 real job ads** (JSearch API, countries: us 23), extracted into the MSSQL evidence store; as of 2026-07-10.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 16 | 70 % |
| n/a | 3 | 13 % |
| senior | 2 | 9 % |
| lead | 2 | 9 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Python | 5 | 22 % |
| 2 | ArcGIS | 3 | 13 % |
| 3 | MATLAB | 3 | 13 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 9 | 39 % |
| 2 | statistical analysis | 5 | 22 % |
| 3 | project management | 4 | 17 % |
| 4 | research | 4 | 17 % |
| 5 | climate data analysis | 3 | 13 % |
| 6 | climate modeling | 3 | 13 % |
| 7 | climate science | 3 | 13 % |
| 8 | risk assessment | 3 | 13 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | high-performance computing | 3 | 13 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 6 | 26 % |
| 2 | stakeholder engagement | 3 | 13 % |
## Regional breakdown
> **Corpus note:** 23 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
**Insufficient evidence** — 23 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### EU/DACH (de, at, ch, nl)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
## Job title variants in the market
| Title | Ads |
|---|---|
| Applied Climate Scientist/State Climatologist | 1 |
| Associate Research Scientist, and Postdocs | 1 |
| Climate Change Research Scientist | 1 |
| Climate Change Research Specialist | 1 |
| Climate Research Associate: Hydrology & Cloud Seeding | 1 |
| Climate Science & Public Service Associate Director | 1 |
| Climate Science Advisor | 1 |
| Climate Scientist Union of Concerned Scientists | 1 |
| Climate Scientist (Experienced) | 1 |
| Climate Scientist at Stantec Raleigh, NC | 1 |
| Climate Scientist Senior - P&C Climate Risk & Exposure Analytics 21 | 1 |
| Director of the Center for Urban and Coastal Climate Science Research | 1 |
| FM Research Scientist - Weather and Climate Risks | 1 |
| Lead Climate Scientist | 1 |
| Post Doctorate Research Associate - Computational Climate Science | 1 |
| Postdoc & Visiting Research Scientist in Climate Science | 1 |
| Research Scientist | 1 |
| Research Scientist (Risk Program) | 1 |
| Research Scientist I, Institute for Innovative Climate Solutions | 1 |
| Research Scientist/Research Associate (Canada Fire Management) | 1 |
| Scientist, Research Scientist, Data Scientist | 1 |
| Senior Climate Scientist, Physical Impacts | 1 |
| State Climatologist & Applied Climate Scientist | 1 |
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.

32
references/profile.md Normal file
View File

@@ -0,0 +1,32 @@
# Occupation profile — climatologist
- **ESCO URI:** http://data.europa.eu/esco/occupation/3dbd758c-6dc0-41fe-8248-2250c9bfa4ab
- **ESCO code:** 2112.1.2
- **ISCO-08 group:** 2112 — Meteorologists
- **O*NET-SOC:** 19-2021.00 — Atmospheric and Space Scientists (match: closeMatch)
## Description (ESCO)
Climatologists study the average change in weather and climate from a long-term perspective. They research and analyse historic weather conditions in order to forecast climatic conditions trends such as changes in temperature, global warming, or regional evolutive weather conditions. They use these findings for advising on environmental policy, construction, agricultural projects, and societal matters.
## Definition
nan
## Alternative labels
- climatology scientist
- climate research scientist
- climatology research analyst
- climatology scholar
- climate scientist
- climate researcher
- climatology analyst
- climate scholar
- climatology research scientist
- climate research analyst
- climatologists
- climatology researcher
- climate science researcher
- climatology science researcher
- climate analyst

59
references/skills.md Normal file
View File

@@ -0,0 +1,59 @@
# Competences — climatologist
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/3dbd758c-6dc0-41fe-8248-2250c9bfa4ab).
## Essential
- **advise on weather-related issues** (skill/competence)
- **analyse weather forecast** (skill/competence)
- **carry out meteorological research** (skill/competence)
- **climate change impact** (knowledge)
- **climatology** (knowledge)
- **collect weather-related data** (skill/competence)
- **conduct research across disciplines** (skill/competence)
- **conduct research on climate processes** (skill/competence)
- **meteorology** (knowledge)
- **perform scientific research** (skill/competence)
- **statistics** (knowledge)
## Optional
- agronomy (knowledge)
- analyse environmental data (skill/competence)
- assess environmental impact (skill/competence)
- conduct ecological research (skill/competence)
- determine historic climate changes (skill/competence)
- develop environmental policy (skill/competence)
- develop models for weather forecast (skill/competence)
- environmental policy (knowledge)
- geographic information systems (knowledge)
- geology (knowledge)
- green space strategies (knowledge)
- manage air quality (skill/competence)
- manage meteorological database (skill/competence)
- oceanography (knowledge)
- operate meteorological instruments (skill/competence)
- palaeoclimatology (knowledge)
- urban pollution implications (knowledge)
- use geographic information systems (skill/competence)
- use meteorological tools to forecast meteorological conditions (skill/competence)
- use specialised computer models for weather forecasting (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 23 ads, as of 2026-07-10)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **39 %**
- statistical analysis — **22 %**
- research — **17 %**
- project management — **17 %**
### Responsibilities
- data analysis — **26 %**
<!-- market-evidence -->

63
references/tasks.md Normal file
View File

@@ -0,0 +1,63 @@
# Tasks & work activities — climatologist
Source: O*NET 30.3, occupation 19-2021.00 (Atmospheric and Space Scientists).
## Task statements
- **[Core]** Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling.
- **[Core]** Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.
- **[Core]** Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices.
- **[Core]** Consult with other offices, agencies, professionals, or researchers regarding the use and interpretation of climatological information for weather predictions and warnings.
- **[Core]** Analyze historical climate information, such as precipitation or temperature records, to help predict future weather or climate trends.
- **[Core]** Prepare weather reports or maps for analysis, distribution, or use in weather broadcasts, using computer graphics.
- **[Core]** Apply meteorological knowledge to issues such as global warming, pollution control, or ozone depletion.
- **[Core]** Develop or use mathematical or computer models for weather forecasting.
- **[Core]** Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.
- **[Core]** Conduct meteorological research into the processes or determinants of atmospheric phenomena, weather, or climate.
- **[Core]** Prepare scientific atmospheric or climate reports, articles, or texts.
- **[Core]** Speak to the public to discuss weather topics or answer questions.
- **[Core]** Develop computer programs to collect meteorological data or to present meteorological information.
- **[Core]** Develop and deliver training on weather topics.
- **[Core]** Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media.
- **[Core]** Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.
- **[Core]** Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.
- **[Core]** Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons.
- **[Supplemental]** Conduct wind assessment, integration, or validation studies.
- **[Supplemental]** Create visualizations to illustrate historical or future changes in the Earth's climate, using paleoclimate or climate geographic information systems (GIS) databases.
- **[Supplemental]** Estimate or predict the effects of global warming over time for specific geographic regions.
- **[Supplemental]** Teach college-level courses on topics such as atmospheric and space science, meteorology, or global climate change.
- **[Supplemental]** Research the impact of industrial projects or pollution on climate, air quality, or weather phenomena.
- **[Supplemental]** Direct forecasting services at weather stations or at radio or television broadcasting facilities.
- **[Supplemental]** Collect air samples from planes or ships over land or sea to study atmospheric composition.
- **[Supplemental]** Conduct numerical simulations of climate conditions to understand and predict global or regional weather patterns.
- **[Supplemental]** Design or develop new equipment or methods for meteorological data collection, remote sensing, or related applications.
## Detailed work activities
- Analyze design requirements for computer or electronics systems.
- Analyze environmental data.
- Apply knowledge or research findings to address environmental problems.
- Collaborate on research activities with scientists or technical specialists.
- Collect environmental data or samples.
- Communicate with the public on environmental issues.
- Conduct climatological research.
- Coordinate training activities.
- Create images or other visual displays.
- Develop environmental research methods.
- Develop mathematical models of environmental conditions.
- Develop theories or models of physical phenomena.
- Develop training materials.
- Direct technical activities or operations.
- Instruct college students in physical or life sciences.
- Interpret research or operational data.
- Manage human resources activities.
- Measure environmental characteristics.
- Prepare research or technical reports on environmental issues.
- Prepare scientific or technical reports or presentations.
- Present information to the public.
- Provide educational information to the public.
- Provide technical information or assistance to public.
- Research environmental impact of industrial or development activities.
- Teach classes in area of specialization.
- Test computer system operations to ensure proper functioning.
- Write computer programming code.

80
references/tools.md Normal file
View File

@@ -0,0 +1,80 @@
# Tools & technology — climatologist
Source: O*NET 30.3 'Software Skills' for 19-2021.00.
| Software | Category | Hot technology |
|---|---|---|
| IBM SPSS Statistics | Analytical or scientific software | yes |
| SAS | Analytical or scientific software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| Adobe Photoshop | Graphics or photo imaging software | yes |
| C++ | Object or component oriented development software | yes |
| Perl | Object or component oriented development software | yes |
| Python | Object or component oriented development software | yes |
| R | Object or component oriented development software | yes |
| Microsoft Office software | Office suite software | yes |
| Linux | Operating system software | yes |
| Microsoft Windows | Operating system software | yes |
| UNIX | Operating system software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Facebook | Web page creation and editing software | yes |
| Microsoft Word | Word processing software | yes |
| Air quality modeling software | Analytical or scientific software | |
| Aninoquisi MesoTRAC | Analytical or scientific software | |
| Baron Services FasTrac | Analytical or scientific software | |
| Baron Volumetric Imaging and Processing of Integrated Radar VIPIR | Analytical or scientific software | |
| Cave5D | Analytical or scientific software | |
| Environmental Research Services RAOB | Analytical or scientific software | |
| Ferret | Analytical or scientific software | |
| Flow Analysis Software Toolkit FAST | Analytical or scientific software | |
| Grid analysis and display system GrADS | Analytical or scientific software | |
| Interactive radar analysis software IRAS | Analytical or scientific software | |
| Lakes Environmental Software WRPLOT View | Analytical or scientific software | |
| Maplesoft Maple | Analytical or scientific software | |
| Mesoscale modeling software | Analytical or scientific software | |
| PC Weather Products HURRTRAK | Analytical or scientific software | |
| SatView | Analytical or scientific software | |
| STATISTICA | Analytical or scientific software | |
| SVRPLOT | Analytical or scientific software | |
| Systat Software SigmaPlot | Analytical or scientific software | |
| Systat Software SigmaStat | Analytical or scientific software | |
| Unidata GEMPAK | Analytical or scientific software | |
| Unidata Gempak Analysis and Rendering Program GARP | Analytical or scientific software | |
| Unidata Integrated Data Viewer IDV | Analytical or scientific software | |
| Unidata McIDAS-X | Analytical or scientific software | |
| Vis5d+ | Analytical or scientific software | |
| VorTek Site Assessment of Tornado Threat SATT | Analytical or scientific software | |
| Wind flow modeling software | Analytical or scientific software | |
| WINGRIDDS | Analytical or scientific software | |
| Wolfram Research Mathematica | Analytical or scientific software | |
| WSI Titan | Analytical or scientific software | |
| WSI TrueView Professional | Analytical or scientific software | |
| QuarkXPress | Desktop publishing software | |
| Formula translation/translator FORTRAN | Development environment software | |
| Software development tools | Development environment software | |
| ESRI ArcInfo | Geographic information system | |
| ESRI ArcView | Geographic information system | |
| AccuWeather Galileo | Graphics or photo imaging software | |
| Advanced Visual Systems AVS/Express | Graphics or photo imaging software | |
| Image editing software | Graphics or photo imaging software | |
| Microsoft Paint | Graphics or photo imaging software | |
| ITT Visual Information Solutions ENVI | Map creation software | |
| Cisco IOS | Operating system software | |
| Apple Final Cut Pro | Video creation and editing software | |
| Social media sites | Web page creation and editing software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 23 ads, as of 2026-07-10)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Python — **22 %**
<!-- market-evidence -->