feat: sensory-scientist skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:44:44 +02:00
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# Data provenance — sensory-scientist
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 — sensory-scientist
"ESCO (occupation & competences)" : 42
"O*NET (tasks & tools)" : 99
"Job boards (market evidence)" : 109
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 156
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 42 | 10.2 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 99 | 24.1 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 109 | 26.5 % | 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 | 1.2 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 156 | 38.0 % | 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: sensory-scientist
description: "Occupational skill for the role 'sensory scientist' (also: sensory and consumer research scientist, consumer and sensory scientist, sensory science consultant, sensory research scientist, chocolate scientist, perfumery sensory scientist). Use when the user asks for typical sensory scientist work such as: typical sensory scientist responsibilities"
---
# Sensory Scientist
Sensory scientists carry out sensory analysis in order to compose or improve flavours and fragrances for the food, beverage and cosmetics industry. They base their flavour and fragrance development on sensory and consumer research. Sensory scientists carry out research and analyse statistical data to meet customers expectations.
## Core workflow
## 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 fragrances
- allergology
- analyse characteristics of food products at reception
- analytical chemistry
- chemistry
- combination of flavours
- create beverage recipes with botanicals
- food flavourings
- market research
- microbiology-bacteriology
- molecular biology
- olfaction
- perform sensory evaluation of food products
- prepare raw materials
- quantitative sensory testing
## Hot technologies
- C
- C++
- Extensible markup language XML
- Hypertext markup language HTML
- Microsoft Access
- Microsoft Excel
- Microsoft Office software
- Microsoft PowerPoint
- Microsoft Visio
- Microsoft Visual Basic
<!-- hot-tech -->
## Hot technologies
Top tools from 47 gated job ads (see references/market.md, as of 2026-07-19):
- Compusense — 21 %
- RedJade — 11 %
- XLStat — 11 %
- Fizz — 9 %
- JMP — 9 %
- Microsoft Excel — 9 %
- Microsoft Office — 9 %
- Sims — 9 %
- Minitab — 6 %
<!-- hot-tech -->
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/8606c0fd-c7cb-404d-887f-3a30ef7a81b4), O*NET 30.3 (19-2031.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "sensory-scientist",
"title": "sensory scientist",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/8606c0fd-c7cb-404d-887f-3a30ef7a81b4",
"esco_code": "2113.2",
"isco_group": "2113",
"onet_soc": "19-2031.00",
"crosswalk_match": "manual nearest via ISCO 2113 (Chemists)"
},
"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": 0,
"dwas": 0,
"skills_essential": 20,
"skills_optional": 21,
"software": 0
},
"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
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 9
},
"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
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 7
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 7
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 7
},
"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
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 3
},
"claude-world/director-mode-lite": {
"repo": "https://github.com/claude-world/director-mode-lite",
"commit": "9d0c333",
"license": "MIT",
"skills": 1
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"Ar9av/PaperOrchestra": {
"repo": "https://github.com/Ar9av/PaperOrchestra",
"commit": "07b981f",
"license": "MIT",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 2
},
"glittercowboy/taches-cc-resources": {
"repo": "https://github.com/glittercowboy/taches-cc-resources",
"commit": "1757615",
"license": "MIT",
"skills": 1
},
"staruhub/ClaudeSkills": {
"repo": "https://github.com/staruhub/ClaudeSkills",
"commit": "3d4045d",
"license": "MIT",
"skills": 1
},
"SnailSploit/Claude-Red": {
"repo": "https://github.com/SnailSploit/Claude-Red",
"commit": "aeb41ec",
"license": "MIT",
"skills": 1
},
"0xwilliamortiz/claude-red": {
"repo": "https://github.com/0xwilliamortiz/claude-red",
"commit": "ad8436b",
"license": "MIT",
"skills": 1
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 1
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 1
},
"makenotion/claude-code-notion-plugin": {
"repo": "https://github.com/makenotion/claude-code-notion-plugin",
"commit": "9847f2a",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 1
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 1
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 42,
"onet": 99,
"jobads": 109,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 156,
"stackx": 0
},
"share_percent": {
"esco": 10.2,
"onet": 24.1,
"jobads": 26.5,
"wiki_ai": 0.0,
"anthropic": 1.2,
"ai_skills": 38.0,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — sensory-scientist
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: 0xwilliamortiz/claude-red
- Repository: [https://github.com/0xwilliamortiz/claude-red](https://github.com/0xwilliamortiz/claude-red) (commit `ad8436b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `offensive-mobile` | core | Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, … | [source](https://github.com/0xwilliamortiz/claude-red/tree/ad8436b/Skills/mobile/offensive-mobile) |
## 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) |
| `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) |
| `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) |
| `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) |
| `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) |
| `root-cause-analyzer` | core | Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/operations/skills/root-cause-analyzer) |
| `pandas-dataframe-analyzer` | core | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
| `power-analysis-calculator` | core | Skill for statistical power analysis and sample size calculation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/power-analysis-calculator) |
| `simulation-experiment-designer` | core | Simulation experimental design skill for efficient scenario analysis and optimization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/simulation-experiment-designer) |
## Source: AgriciDaniel/claude-blog
- Repository: [https://github.com/AgriciDaniel/claude-blog](https://github.com/AgriciDaniel/claude-blog) (commit `49842ea`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-strategy) |
## Source: alirezarezvani/claude-skills
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `senior-data-scientist` | core | World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering-team/skills/senior-data-scientist) |
| `market-research` | core | Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/research-ops/skills/market-research) |
## Source: Ar9av/PaperOrchestra
- Repository: [https://github.com/Ar9av/PaperOrchestra](https://github.com/Ar9av/PaperOrchestra) (commit `07b981f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `paper-writing-bench` | core | Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure … | [source](https://github.com/Ar9av/PaperOrchestra/tree/07b981f/skills/paper-writing-bench) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `statistics-skills` | core | 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics) |
| `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) |
| `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) |
| `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) |
| `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) |
| `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) |
| `hypothesis-testing-guide` | core | Statistical hypothesis testing, power analysis, and significance reporting | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics/hypothesis-testing-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) |
| `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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `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) |
| `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) |
| `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) |
| `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) |
| `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) |
| `research-grants` | core | Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/research-grants) |
| `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/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/senior-data-scientist) |
| `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) |
| `Excel Analysis` | core | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `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) |
| `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) |
| `designing-experiments` | core | Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/designing-experiments) |
| `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: glittercowboy/taches-cc-resources
- Repository: [https://github.com/glittercowboy/taches-cc-resources](https://github.com/glittercowboy/taches-cc-resources) (commit `1757615`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `debug-like-expert` | core | Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic … | [source](https://github.com/glittercowboy/taches-cc-resources/tree/1757615/skills/debug-like-expert) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-strategy) |
## Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `perplexity-reference-architecture` | core | Implement Perplexity reference architecture with model routing, citation pipeline, and research automation. Use when designing new Perplexity integrations, reviewing project structure, or establishing architecture for search-augmented … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-reference-architecture) |
## 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) |
| `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) |
| `hypogenic` | core | Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hypogenic) |
| `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) |
| `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) |
| `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 |
|---|---|---|---|
| `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) |
| `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) |
| `hypogenic` | core | Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hypogenic) |
| `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) |
| `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) |
| `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: makenotion/claude-code-notion-plugin
- Repository: [https://github.com/makenotion/claude-code-notion-plugin](https://github.com/makenotion/claude-code-notion-plugin) (commit `9847f2a`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `notion-research-documentation` | core | Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and … | [source](https://github.com/makenotion/claude-code-notion-plugin/tree/9847f2a/skills/notion/research-documentation) |
## Source: mohitagw15856/pm-claude-skills
- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `research-protocol` | core | Write a structured research protocol or study design document. Use when asked to write a research protocol, study protocol, research plan, methodology section, or research proposal. Produces a complete protocol with objectives, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-research/skills/research-protocol) |
## Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
## 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: OpenSenseNova/SenseNova-Skills
- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `statistical-distribution-and-outlier-analysis` | core | 执行数值型数据的分布分析与异常值检测,支持通过正则表达式从文本中提取误差项并生成高分辨率的箱线图与直方图报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-visualization/histogram-visualization) |
## 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 |
|---|---|---|---|
| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
| `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) |
| `experiment-design` | core | A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/experiment-design) |
## Source: rohitg00/skillkit
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `task-decomposition` | core | Breaks down complex software, writing, or research tasks into small, atomic, independently completable units with dependency graphs and milestone breakdowns. Use when the user asks to plan a project, decompose a feature, create subtasks, … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/planning/task-decomposition) |
## 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: SnailSploit/Claude-Red
- Repository: [https://github.com/SnailSploit/Claude-Red](https://github.com/SnailSploit/Claude-Red) (commit `aeb41ec`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `offensive-mobile` | core | Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, … | [source](https://github.com/SnailSploit/Claude-Red/tree/aeb41ec/Skills/mobile/offensive-mobile) |
## Source: staruhub/ClaudeSkills
- Repository: [https://github.com/staruhub/ClaudeSkills](https://github.com/staruhub/ClaudeSkills) (commit `3d4045d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need … | [source](https://github.com/staruhub/ClaudeSkills/tree/3d4045d/skills/Geek-skills-deep-research) |
## 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 — sensory-scientist
Source: **47 real job ads** (JSearch API, countries: us 47), extracted into the MSSQL evidence store; as of 2026-07-19.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 32 | 68 % |
| senior | 11 | 23 % |
| junior | 4 | 9 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Compusense | 10 | 21 % |
| 2 | RedJade | 5 | 11 % |
| 3 | XLStat | 5 | 11 % |
| 4 | Fizz | 4 | 9 % |
| 5 | JMP | 4 | 9 % |
| 6 | Microsoft Excel | 4 | 9 % |
| 7 | Microsoft Office | 4 | 9 % |
| 8 | Sims | 4 | 9 % |
| 9 | Minitab | 3 | 6 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 26 | 55 % |
| 2 | consumer research | 18 | 38 % |
| 3 | statistical analysis | 17 | 36 % |
| 4 | sensory evaluation | 16 | 34 % |
| 5 | project management | 11 | 23 % |
| 6 | sensory science | 7 | 15 % |
| 7 | experimental design | 6 | 13 % |
| 8 | study design | 6 | 13 % |
| 9 | data interpretation | 5 | 11 % |
| 10 | panel management | 5 | 11 % |
| 11 | regulatory compliance | 5 | 11 % |
| 12 | sensory research | 5 | 11 % |
| 13 | sensory testing | 5 | 11 % |
| 14 | descriptive analysis | 4 | 9 % |
| 15 | market research | 4 | 9 % |
| 16 | product development | 3 | 6 % |
| 17 | sensory analysis | 3 | 6 % |
| 18 | statistical modeling | 3 | 6 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | discrimination testing | 9 | 19 % |
| 2 | descriptive analysis | 8 | 17 % |
| 3 | focus groups | 4 | 9 % |
| 4 | qualitative research | 3 | 6 % |
| 5 | quantitative research | 3 | 6 % |
| 6 | sensory evaluation | 3 | 6 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 6 | 13 % |
| 2 | cross-functional collaboration | 5 | 11 % |
| 3 | data interpretation | 4 | 9 % |
| 4 | insight delivery | 4 | 9 % |
| 5 | panel management | 4 | 9 % |
| 6 | study execution | 4 | 9 % |
| 7 | vendor management | 4 | 9 % |
| 8 | client communication | 3 | 6 % |
| 9 | panelist training | 3 | 6 % |
| 10 | project execution | 3 | 6 % |
| 11 | proposal development | 3 | 6 % |
| 12 | report creation | 3 | 6 % |
| 13 | report preparation | 3 | 6 % |
| 14 | study design | 3 | 6 % |
| 15 | study management | 3 | 6 % |
## Regional breakdown
> **Corpus note:** 47 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
47 ads.
**Top hard skills:**
- data analysis — 55 % (26 ads)
- consumer research — 38 % (18 ads)
- statistical analysis — 36 % (17 ads)
- sensory evaluation — 34 % (16 ads)
- project management — 23 % (11 ads)
- sensory science — 15 % (7 ads)
- experimental design — 13 % (6 ads)
- study design — 13 % (6 ads)
- data interpretation — 11 % (5 ads)
- panel management — 11 % (5 ads)
**Top tools:**
- Compusense — 21 % (10 ads)
- RedJade — 11 % (5 ads)
- XLStat — 11 % (5 ads)
- Fizz — 9 % (4 ads)
- JMP — 9 % (4 ads)
- Microsoft Excel — 9 % (4 ads)
- Microsoft Office — 9 % (4 ads)
- Sims — 9 % (4 ads)
- Minitab — 6 % (3 ads)
- Compusense Cloud — 4 % (2 ads)
**Seniority:** mid 68 % · senior 23 % · junior 9 %
### 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 |
|---|---|
| Sensory Scientist | 6 |
| Principal Sensory Scientist | 2 |
| Sensory & Consumer Scientist | 2 |
| Sr. Sensory Scientist | 2 |
| Associate Principal Scientist - Sensory | 1 |
| Associate Research Scientist II - Consumer Product Research | 1 |
| Associate Sensory Scientist Dairy Panel & Insights | 1 |
| Consumer Research Centre Director | 1 |
| Consumer Sensory Scientist | 1 |
| CTI Scientist: Food Insights & Sensory Excellence | 1 |
| Descriptive Sensory Panel Lead - R&D Scientist (Hybrid) | 1 |
| Food CTI Scientist: Sensory Research & Insights | 1 |
| Food Scientist II, Sensory & Consumer Insights | 1 |
| Food Scientist: Product Innovation & Sensory Lead | 1 |
| Hybrid Consumer Insights Scientist | 1 |
| Lead Consumer Insights & Sensory Scientist | 1 |
| Lead Sensory Scientist - On-Site Consumer Research | 1 |
| R&D Food Scientist — Sensory & Consumer Insight | 1 |
| R&D Sensory Lab Supervisor - Hunt Valley, MD | 1 |
| Research Scientist Popcorn & Kid Snack | 1 |
| Scientist CTI (Consumer Technical Insights) | 1 |
| Scientist Foods CTI | 1 |
| Scientist, Consumer Science | 1 |
| Scientist, R&D - Descriptive Sensory Panel Leader | 1 |
| Senior Principal Scientist - Consumer Science (Beverages) | 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 — sensory scientist
- **ESCO URI:** http://data.europa.eu/esco/occupation/8606c0fd-c7cb-404d-887f-3a30ef7a81b4
- **ESCO code:** 2113.2
- **ISCO-08 group:** 2113 — Chemists
## Description (ESCO)
Sensory scientists carry out sensory analysis in order to compose or improve flavours and fragrances for the food, beverage and cosmetics industry. They base their flavour and fragrance development on sensory and consumer research. Sensory scientists carry out research and analyse statistical data to meet customers expectations.
## Definition
nan
## Alternative labels
- sensory and consumer research scientist
- consumer and sensory scientist
- sensory science consultant
- sensory research scientist
- chocolate scientist
- perfumery sensory scientist
- sensory science specialist
- bakery scientist
- sensory science advisor

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# Competences — sensory scientist
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/8606c0fd-c7cb-404d-887f-3a30ef7a81b4).
## Essential
- **advise on fragrances** (skill/competence)
- **allergology** (knowledge)
- **analyse characteristics of food products at reception** (skill/competence)
- **analytical chemistry** (knowledge)
- **chemistry** (knowledge)
- **combination of flavours** (knowledge)
- **create beverage recipes with botanicals** (skill/competence)
- **food flavourings** (knowledge)
- **market research** (knowledge)
- **microbiology-bacteriology** (knowledge)
- **molecular biology** (knowledge)
- **olfaction** (knowledge)
- **perform sensory evaluation of food products** (skill/competence)
- **prepare raw materials** (skill/competence)
- **quantitative sensory testing** (knowledge)
- **research fragrances** (skill/competence)
- **research new food ingredients** (skill/competence)
- **statistical analysis system software** (knowledge)
- **statistics** (knowledge)
- **toxicology** (knowledge)
## Optional
- add scent (skill/competence)
- advise food industry (skill/competence)
- allergies (knowledge)
- analyse consumer buying trends (skill/competence)
- analyse samples of food and beverages (skill/competence)
- assess quality characteristics of food products (skill/competence)
- check quality of raw materials (skill/competence)
- create fragrances formulae (skill/competence)
- describe flavour of different wines (skill/competence)
- describe the flavour of different beers (skill/competence)
- develop new food products (skill/competence)
- document analysis results (skill/competence)
- food allergies (knowledge)
- food legislation (knowledge)
- food science (knowledge)
- participate in the development of new food products (skill/competence)
- perform physico-chemical analysis to food materials (skill/competence)
- perfume raw materials (knowledge)
- report analysis results (skill/competence)
- test fragrances against customer satisfaction (skill/competence)
- troubleshoot cosmetics formula issues (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 47 ads, as of 2026-07-19)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **55 %**
- consumer research — **38 %**
- statistical analysis — **36 %**
- sensory evaluation — **34 %**
- project management — **23 %**
### Methods
- discrimination testing — **19 %**
<!-- market-evidence -->

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# Tasks & work activities — sensory scientist
Source: O*NET 30.3, occupation 19-2031.00 (Chemists) — manual nearest-occupation mapping via ISCO group 2113; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.
- **[Core]** Develop, improve, or customize products, equipment, formulas, processes, or analytical methods.
- **[Core]** Compile and analyze test information to determine process or equipment operating efficiency or to diagnose malfunctions.
- **[Core]** Confer with scientists or engineers to conduct analyses of research projects, interpret test results, or develop nonstandard tests.
- **[Core]** Direct, coordinate, or advise personnel in test procedures for analyzing components or physical properties of materials.
- **[Core]** Induce changes in composition of substances by introducing heat, light, energy, or chemical catalysts for quantitative or qualitative analysis.
- **[Core]** Write technical papers or reports or prepare standards and specifications for processes, facilities, products, or tests.
- **[Core]** Prepare test solutions, compounds, or reagents for laboratory personnel to conduct tests.
- **[Core]** Maintain laboratory instruments to ensure proper working order and troubleshoot malfunctions when needed.
- **[Core]** Conduct quality control tests.
- **[Core]** Evaluate laboratory safety procedures to ensure compliance with standards or to make improvements as needed.
- **[Core]** Purchase laboratory supplies, such as chemicals, when supplies are low or near their expiration date.
## Detailed work activities
- Analyze chemical compounds or substances.
- Analyze operational or research data.
- Analyze test or performance data to assess equipment operation.
- Collaborate on research activities with scientists or technical specialists.
- Develop new or advanced products or production methods.
- Diagnose equipment malfunctions.
- Establish standards for products, processes, or procedures.
- Maintain laboratory or technical equipment.
- Manage scientific or technical project resources.
- Monitor operational procedures in technical environments to ensure conformance to standards.
- Prepare compounds or solutions for products or testing.
- Prepare scientific or technical reports or presentations.
- Supervise scientific or technical personnel.
- Test quality of materials or finished products.

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# Tools & technology — sensory scientist
Source: O*NET 30.3, occupation 19-2031.00 (Chemists) — manual nearest-occupation mapping via ISCO group 2113; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| C | Development environment software | yes |
| C++ | Object or component oriented development software | yes |
| Extensible markup language XML | Enterprise application integration software | yes |
| Hypertext markup language HTML | Web platform development software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Microsoft Word | Word processing software | yes |
| Oracle Java | Object or component oriented development software | yes |
| R | Object or component oriented development software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| Accelrys Cerius2 | Analytical or scientific software | |
| Accelrys DeCipher | Analytical or scientific software | |
| Advanced Chemistry Development ACD/1D nuclear magnetic resonance NMR processor | Analytical or scientific software | |
| Agilent ChemStation | Analytical or scientific software | |
| Apple iWork | Office suite software | |
| Apple iWork Keynote | Presentation software | |
| Apple iWork Numbers | Spreadsheet software | |
| Apple iWork Pages | Word processing software | |
| Bruker BioSpin TopSpin | Analytical or scientific software | |
| CambridgeSoft ChemOffice Ultra | Data base user interface and query software | |
| Chem2Pac | Analytical or scientific software | |
| Chemical kinetics software | Analytical or scientific software | |
| ChemInnovation Software Chem 4-D | Computer aided design CAD software | |
| ChemSW Buffer Maker | Data base user interface and query software | |
| ChemSW Calibration Pro | Analytical or scientific software | |
| ChemSW Chemical Inventory System CIS | Inventory management software | |
| ChemSW Laboratory Document Control System LDCS | Document management software | |
| ChemSW Mass Spec Tools | Analytical or scientific software | |
| ChemSW Molecular Modeling Pro | Computer aided design CAD software | |
| ChemSW Uncertainty Pro | Analytical or scientific software | |
| Conversion tools software | Analytical or scientific software | |
| Crystallography software | Analytical or scientific software | |
| CrystalMaker | Analytical or scientific software | |
| Density functional theory DFT software | Analytical or scientific software | |
| Digital imaging software | Graphics or photo imaging software | |
| Gas chromatograph GS software | Analytical or scientific software | |
| Gaussian software | Analytical or scientific software | |
| Graphics software | Graphics or photo imaging software | |
| Hypercube HyperChem | Computer aided design CAD software | |
| ItemTracker | Inventory management software | |
| JDA Arthur KnowledgeBase database | Data base user interface and query software | |
| Laboratory information management system LIMS | Analytical or scientific software | |
| LabTrack Electronic Lab Notebook | Analytical or scientific software | |
| Logger software | Data base user interface and query software | |
| Minitab | Analytical or scientific software | |
| Modeling software | Analytical or scientific software | |
| MolDraw | Graphics or photo imaging software | |
| Molecular simulation software | Analytical or scientific software | |
| Molsearch Pro | Data base user interface and query software | |
| MSI Insight/Discover | Analytical or scientific software | |
| Multi-functional calculators | Analytical or scientific software | |
| National Instruments LabVIEW | Development environment software | |
| NeoOffice | Office suite software | |
| Network Science IR Mentor Pro | Analytical or scientific software | |
| Organic synthesis planning software | Analytical or scientific software | |
| Q-Chem | Analytical or scientific software | |
| SAS JMP | Analytical or scientific software | |
| SciQuest PE TurboChrom | Analytical or scientific software | |
| Siemens SHELXTL | Analytical or scientific software | |
| Statistical software | Analytical or scientific software | |
| Surface modeling software | Analytical or scientific software | |
| Synthematix StructureSearch | Analytical or scientific software | |
| UBI Biotracker | Inventory management software | |
| Vogel Scientific Software Group CALACO | Analytical or scientific software | |
| Waters Empower Chromatography Data Software | Analytical or scientific software | |
| Waters Millennium32 | Analytical or scientific software | |
| Wavefunction Spartan | Analytical or scientific software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 47 ads, as of 2026-07-19)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Compusense — **21 %**
<!-- market-evidence -->