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feat: economist skill package v0.1.0

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# Data provenance — economist
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 — economist
"ESCO (occupation & competences)" : 84
"O*NET (tasks & tools)" : 86
"Job boards (market evidence)" : 59
"Anthropic official Claude skills" : 6
"External AI skill packs (mapped)" : 125
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 84 | 23.3 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 86 | 23.9 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 59 | 16.4 % | 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 | 6 | 1.7 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 125 | 34.7 % | 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).

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---
name: economist
description: "Occupational skill for the role 'economist' (also: econophysicist, economics scholar, economics scientist, economics researcher, econometrician, economics research analyst). Use when the user asks for typical economist work such as: Prepare and deliver lectures to undergraduate or graduate students on topics such as econometrics, price theory, and macroeconomics.; Prepare course materials, such as syllabi, homework assignments, and handouts.; Evaluate and grade students' class work, assignments, and papers."
---
# Economist
Economists perform research and develop theories in the field of economics, whether for microeconomic or macroeconomic analysis. They study trends, analyse statistical data, and to some extent work with economic mathematical models in order to advise companies, governments, and related institutions. They advise on product feasibility, trend forecasts, emerging markets, tax policies, and consumer trends.
## Core workflow
1. Prepare and deliver lectures to undergraduate or graduate students on topics such as econometrics, price theory, and macroeconomics.
2. Prepare course materials, such as syllabi, homework assignments, and handouts.
3. Evaluate and grade students' class work, assignments, and papers.
4. Compile, administer, and grade examinations, or assign this work to others.
5. Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
6. Maintain student attendance records, grades, and other required records.
7. Initiate, facilitate, and moderate classroom discussions.
8. Maintain regularly scheduled office hours to advise and assist students.
## 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)
- analyse economic trends
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- apply scientific methods
- apply statistical analysis techniques
- business management principles
- commercial law
- communicate with a non-scientific audience
- conduct qualitative research
- conduct quantitative research
- conduct research across disciplines
- demonstrate disciplinary expertise
- develop professional network with researchers and scientists
- disseminate results to the scientific community
- draft scientific or academic papers and technical documentation
## Hot technologies
- The MathWorks MATLAB
- Microsoft Access
- Microsoft Outlook
- Python
- R
- Microsoft Office software
- Microsoft PowerPoint
- Microsoft Excel
- Facebook
- Google Docs
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/99492920-e5a5-4dba-9e5a-93193147198c), O*NET 30.3 (25-1063.00). See manifest.json for licensing/attribution.*

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{
"name": "economist",
"title": "economist",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/99492920-e5a5-4dba-9e5a-93193147198c",
"esco_code": "2631.2",
"isco_group": "2631",
"onet_soc": "25-1063.00",
"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": 22,
"dwas": 25,
"skills_essential": 47,
"skills_optional": 36,
"software": 38
},
"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": 3
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 12
},
"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
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 12
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 12
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 12
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 6
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 2
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
},
"claude-world/director-mode-lite": {
"repo": "https://github.com/claude-world/director-mode-lite",
"commit": "9d0c333",
"license": "MIT",
"skills": 1
},
"fcakyon/claude-codex-settings": {
"repo": "https://github.com/fcakyon/claude-codex-settings",
"commit": "44b7c00",
"license": "Apache-2.0",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 1
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"silverstein/minutes": {
"repo": "https://github.com/silverstein/minutes",
"commit": "3fb2e83",
"license": "MIT",
"skills": 1
},
"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": 1
}
},
"total_skills": 80,
"tiers": {
"core": 77,
"adjacent": 3
}
},
"provenance": {
"items": {
"esco": 84,
"onet": 86,
"jobads": 59,
"wiki_ai": 0,
"anthropic": 6,
"ai_skills": 125,
"stackx": 0
},
"share_percent": {
"esco": 23.3,
"onet": 23.9,
"jobads": 16.4,
"wiki_ai": 0.0,
"anthropic": 1.7,
"ai_skills": 34.7,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — economist
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 |
|---|---|---|---|
| `xlsx` | adjacent | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, … | [source](https://github.com/anthropics/skills/tree/main/skills/xlsx) |
| `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 |
|---|---|---|---|
| `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) |
| `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) |
| `statistical-testing` | core | Apply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/statistical-testing) |
| `paraview-scientific-visualizer` | core | ParaView visualization skill for 3D scientific data rendering and analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/physics/skills/paraview-scientific-visualizer) |
| `A/B Test Design` | core | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `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) |
| `methodology-skills` | core | 13 research methodology skills. Trigger: study design, methodology selection, scientific reasoning, mentoring. Design: rigorous methods frameworks covering qualitative, quantitative, and mixed approaches. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology) |
| `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) |
| `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) |
| `results-analysis` | core | This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/results-analysis) |
| `claude-scientific-guide` | core | Ready-to-use agent skills for scientific research and engineering | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/claude-scientific-guide) |
| `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) |
| `proof-architect` | core | Structured methodology for constructing and verifying mathematical proofs in statistical research | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/26-Data-Wise-scholar/skills/mathematical/proof-architect) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `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) |
| `market-research-reports` | core | Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/market-research-reports) |
| `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) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/latex-posters) |
| `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) |
| `research-engineer` | core | An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/research-engineer) |
## Source: fcakyon/claude-codex-settings
- Repository: [https://github.com/fcakyon/claude-codex-settings](https://github.com/fcakyon/claude-codex-settings) (commit `44b7c00`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `paper-search-usage` | core | This skill should be used when user asks to "search for papers", "find research papers", "search arXiv", "search PubMed", "find academic papers", "search IEEE", "search Scopus", or "look up scientific literature". | [source](https://github.com/fcakyon/claude-codex-settings/tree/44b7c00/plugins/paper-search-tools/skills/paper-search-usage) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `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) |
| `scientific-brainstorming` | core | Open-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-brainstorming) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/exploratory-data-analysis) |
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill that establishes text-based diagrams as the DEFAULT documentation standard. Use this skill when creating ANY scientific document, report, analysis, or visualization — it ensures all … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/markdown-mermaid-writing) |
| `slides-as-code` | core | Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/slides-as-code) |
| `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) |
| `matlab` | core | MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/matlab) |
| `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) |
## 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 |
|---|---|---|---|
| `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) |
| `market-research-reports` | core | Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/market-research-reports) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/latex-posters) |
| `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) |
| `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-brainstorming` | core | Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-brainstorming) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `autoskill` | core | Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/autoskill) |
| `exa-search` | core | Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exa-search) |
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
| `scientific-writing` | core | Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-writing) |
## 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 |
|---|---|---|---|
| `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) |
| `market-research-reports` | core | Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/market-research-reports) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/latex-posters) |
| `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) |
| `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-brainstorming` | core | Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-brainstorming) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `autoskill` | core | Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/autoskill) |
| `exa-search` | core | Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exa-search) |
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
| `scientific-writing` | core | Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-writing) |
## 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: 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) |
## 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: silverstein/minutes
- Repository: [https://github.com/silverstein/minutes](https://github.com/silverstein/minutes) (commit `3fb2e83`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `minutes-mirror` | core | Self-coaching analysis of your own behavior across meetings — talk-time ratio, filler words, hedging language, monologue length, energy patterns, and (when meetings are tagged via /minutes-tag) what your behavior in winning meetings looks … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-mirror) |
## 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) |

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# Market evidence report — economist
Source: **28 real job ads** (JSearch API, countries: us 28), extracted into the MSSQL evidence store; as of 2026-07-11.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 15 | 54 % |
| senior | 6 | 21 % |
| n/a | 3 | 11 % |
| junior | 3 | 11 % |
| lead | 1 | 4 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Stata | 4 | 14 % |
| 2 | Python | 3 | 11 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 11 | 39 % |
| 2 | statistical analysis | 9 | 32 % |
| 3 | economic analysis | 8 | 29 % |
| 4 | quantitative analysis | 7 | 25 % |
| 5 | econometric modeling | 6 | 21 % |
| 6 | policy analysis | 5 | 18 % |
| 7 | economic modeling | 4 | 14 % |
| 8 | economic research | 3 | 11 % |
| 9 | financial modeling | 3 | 11 % |
| 10 | statistical modeling | 3 | 11 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | report preparation | 5 | 18 % |
| 2 | data analysis | 4 | 14 % |
| 3 | business problem solving | 3 | 11 % |
| 4 | model development | 3 | 11 % |
## Regional breakdown
> **Corpus note:** 28 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** — 28 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 |
|---|---|
| (Hybrid) Health Economist (Research Scientist) - Health Affairs Institute | 1 |
| Associate Economist | 1 |
| Economics Pre-Doctoral Data Researcher | 1 |
| Economist (Research) | 1 |
| Economist (Seasonal/Summer) | 1 |
| Economist I | 1 |
| Economist I - RFCA | 1 |
| Economist, Saltwater Inc. | 1 |
| Economist/Senior Economist (ICDMM) | 1 |
| Financial Economist (Country Risk) -Direct Hire | 1 |
| Financial Economist (Research) | 1 |
| Global Head of Policy Research, Head Economist | 1 |
| Global Health Economics Scientist - Value & Market Access | 1 |
| Hydropower Valuation Economist Fellow | 1 |
| Industrial Organization Economist | 1 |
| International Economist | 1 |
| Lead Economist - 6-Month Opportunity | 1 |
| Managing Economist | 1 |
| Part-Time Economic Analyst, TS/SCI | 1 |
| Pre-Doctoral Data Scientist: Urban Economics | 1 |
| Principal Labor Economist | 1 |
| Senior Data and Economics Lead/Senior Researcher, DOL | 1 |
| Senior Economist - Healthcare and Life Sciences | 1 |
| Senior Economist (REMOTE/Reston, VA/Waltham, MA) | Reston, VA, USA | 1 |
| Senior Economist, Decision Science - Devices | 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.

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# Occupation profile — economist
- **ESCO URI:** http://data.europa.eu/esco/occupation/99492920-e5a5-4dba-9e5a-93193147198c
- **ESCO code:** 2631.2
- **ISCO-08 group:** 2631 — Economists
- **O*NET-SOC:** 25-1063.00 — Economics Teachers, Postsecondary (match: closeMatch)
## Description (ESCO)
Economists perform research and develop theories in the field of economics, whether for microeconomic or macroeconomic analysis. They study trends, analyse statistical data, and to some extent work with economic mathematical models in order to advise companies, governments, and related institutions. They advise on product feasibility, trend forecasts, emerging markets, tax policies, and consumer trends.
## Definition
nan
## Alternative labels
- econophysicist
- economics scholar
- economics scientist
- economics researcher
- econometrician
- economics research analyst
- interest analyst
- economics research scientist
- macro analyst
- economics science researcher
- social economist
- labour economist
- economics analyst

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# Competences — economist
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/99492920-e5a5-4dba-9e5a-93193147198c).
## Essential
- **analyse economic trends** (skill/competence)
- **apply for research funding** (skill/competence)
- **apply research ethics and scientific integrity principles in research activities** (skill/competence)
- **apply scientific methods** (skill/competence)
- **apply statistical analysis techniques** (skill/competence)
- **business management principles** (knowledge)
- **commercial law** (knowledge)
- **communicate with a non-scientific audience** (skill/competence)
- **conduct qualitative research** (skill/competence)
- **conduct quantitative research** (skill/competence)
- **conduct research across disciplines** (skill/competence)
- **demonstrate disciplinary expertise** (skill/competence)
- **develop professional network with researchers and scientists** (skill/competence)
- **disseminate results to the scientific community** (skill/competence)
- **draft scientific or academic papers and technical documentation** (skill/competence)
- **economics** (knowledge)
- **empirical analysis** (knowledge)
- **evaluate research activities** (skill/competence)
- **execute analytical mathematical calculations** (skill/competence)
- **increase the impact of science on policy and society** (skill/competence)
- **integrate gender dimension in research** (skill/competence)
- **interact professionally in research and professional environments** (skill/competence)
- **manage findable accessible interoperable and reusable data** (skill/competence)
- **manage intellectual property rights** (skill/competence)
- **manage open publications** (skill/competence)
- **manage personal professional development** (skill/competence)
- **manage research data** (skill/competence)
- **mathematical economics** (knowledge)
- **mathematics** (knowledge)
- **mentor individuals** (skill/competence)
- **operate open source software** (skill/competence)
- **perform project management** (skill/competence)
- **perform scientific research** (skill/competence)
- **political economy** (knowledge)
- **promote open innovation in research** (skill/competence)
- **promote the participation of citizens in scientific and research activities** (skill/competence)
- **promote the transfer of knowledge** (skill/competence)
- **provide cost benefit analysis reports** (skill/competence)
- **publish academic research** (skill/competence)
- **quantitative analysis** (knowledge)
- **scientific research methodology** (knowledge)
- **speak different languages** (skill/competence)
- **statistics** (knowledge)
- **synthesise information** (skill/competence)
- **tax legislation** (knowledge)
- **think abstractly** (skill/competence)
- **write scientific publications** (skill/competence)
## Optional
- accounting techniques (knowledge)
- advise on economic development (skill/competence)
- analyse financial performance of a company (skill/competence)
- analyse market financial trends (skill/competence)
- apply blended learning (skill/competence)
- assess risk factors (skill/competence)
- business analytics (knowledge)
- civil law (knowledge)
- conduct public surveys (skill/competence)
- content marketing strategy (knowledge)
- cryptocurrency (knowledge)
- develop economic policies (skill/competence)
- develop scientific theories (skill/competence)
- development economics (knowledge)
- economic anthropology (knowledge)
- environmental economics (knowledge)
- financial analysis (knowledge)
- financial forecasting (knowledge)
- financial markets (knowledge)
- forecast economic trends (skill/competence)
- fundamental analysis (knowledge)
- game theory (knowledge)
- international business (knowledge)
- international import export regulations (knowledge)
- market analysis (knowledge)
- mathematical modelling (knowledge)
- Monte Carlo simulation (knowledge)
- perform public relations (skill/competence)
- project management (knowledge)
- public administration (knowledge)
- public law (knowledge)
- sales promotion techniques (knowledge)
- spatial planning (knowledge)
- teach in academic or vocational contexts (skill/competence)
- use business simulation tools (skill/competence)
- write research proposals (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 28 ads, as of 2026-07-11)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **39 %**
- statistical analysis — **32 %**
- economic analysis — **29 %**
- quantitative analysis — **25 %**
- econometric modeling — **21 %**
- policy analysis — **18 %**
### Responsibilities
- report preparation — **18 %**
<!-- market-evidence -->

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# Tasks & work activities — economist
Source: O*NET 30.3, occupation 25-1063.00 (Economics Teachers, Postsecondary).
## Task statements
- **[Core]** Prepare and deliver lectures to undergraduate or graduate students on topics such as econometrics, price theory, and macroeconomics.
- **[Core]** Prepare course materials, such as syllabi, homework assignments, and handouts.
- **[Core]** Evaluate and grade students' class work, assignments, and papers.
- **[Core]** Compile, administer, and grade examinations, or assign this work to others.
- **[Core]** Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- **[Core]** Maintain student attendance records, grades, and other required records.
- **[Core]** Initiate, facilitate, and moderate classroom discussions.
- **[Core]** Maintain regularly scheduled office hours to advise and assist students.
- **[Core]** Select and obtain materials and supplies, such as textbooks.
- **[Core]** Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.
- **[Core]** Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- **[Core]** Supervise undergraduate or graduate teaching, internship, and research work.
- **[Core]** Advise students on academic and vocational curricula and on career issues.
- **[Core]** Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
- **[Core]** Collaborate with colleagues to address teaching and research issues.
- **[Core]** Compile bibliographies of specialized materials for outside reading assignments.
- **[Core]** Participate in student recruitment, registration, and placement activities.
- **[Core]** Perform administrative duties, such as serving as department head.
- **[Core]** Write grant proposals to procure external research funding.
- **[Supplemental]** Participate in campus and community events.
- **[Supplemental]** Provide professional consulting services to government or industry.
- **[Supplemental]** Act as advisers to student organizations.
## Detailed work activities
- Administer tests to assess educational needs or progress.
- Advise educators on curricula, instructional methods, or policies.
- Advise students on academic or career matters.
- Attend training sessions or professional meetings to develop or maintain professional knowledge.
- Compile specialized bibliographies or lists of materials.
- Develop instructional materials.
- Develop instructional objectives.
- Direct department activities.
- Evaluate effectiveness of educational programs.
- Evaluate student work.
- Guide class discussions.
- Maintain student records.
- Order instructional or library materials or equipment.
- Perform student enrollment or registration activities.
- Plan community programs or activities for the general public.
- Prepare tests.
- Promote educational institutions or programs.
- Research topics in area of expertise.
- Select educational materials or equipment.
- Serve on institutional or departmental committees.
- Stay informed about current developments in field of specialization.
- Supervise student research or internship work.
- Teach social science courses at the college level.
- Write articles, books or other original materials in area of expertise.
- Write grant proposals.

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# Tools & technology — economist
Source: O*NET 30.3 'Software Skills' for 25-1063.00.
| Software | Category | Hot technology |
|---|---|---|
| The MathWorks MATLAB | Analytical or scientific software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft Outlook | Electronic mail 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 |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Facebook | Web page creation and editing software | yes |
| Google Docs | Word processing software | yes |
| Microsoft Word | Word processing software | yes |
| Aptech Systems GAUSS | Analytical or scientific software | |
| Econometric Software LIMDEP | Analytical or scientific software | |
| Econport | Analytical or scientific software | |
| Estima RATS | Analytical or scientific software | |
| FEAR | Analytical or scientific software | |
| Gnuplot | Analytical or scientific software | |
| Insightful S-PLUS | Analytical or scientific software | |
| Minitab | Analytical or scientific software | |
| Python Experimental Economics Toolkit PEET | Analytical or scientific software | |
| StataCorp Stata | Analytical or scientific software | |
| Time series modeling TSM software | Analytical or scientific software | |
| Zocalo | Analytical or scientific software | |
| z-Tree | Analytical or scientific software | |
| Blackboard Learn | Computer based training software | |
| Course management system software | Computer based training software | |
| Desire2Learn LMS software | Computer based training software | |
| Learning management system LMS | Computer based training software | |
| Moodle | Computer based training software | |
| Sakai CLE | Computer based training software | |
| Email software | Electronic mail software | |
| JessX stock simulator software | Financial analysis software | |
| DOC Cop | Information retrieval or search software | |
| iParadigms Turnitin | Information retrieval or search software | |
| Web browser software | Internet browser software | |
| Sun Microsystems Java | Object or component oriented development software | |
| Image scanning software | Optical character reader OCR or scanning software | |
| Collaborative editing software | Word processing software | |