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feat: optoelectronic-engineer skill package v0.1.0

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# Data provenance — optoelectronic-engineer
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 — optoelectronic-engineer
"ESCO (occupation & competences)" : 108
"O*NET (tasks & tools)" : 100
"Job boards (market evidence)" : 36
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 156
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 108 | 26.7 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 100 | 24.7 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 36 | 8.9 % | 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 | 38.5 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: optoelectronic-engineer
description: "Occupational skill for the role 'optoelectronic engineer' (also: optoelectronic technology engineering adviser, senior optoelectronic engineer, opto-electronics engineer, opto-electronical engineer, optoelectronic engineering specialist, engineer in optoelectronic systems). Use when the user asks for typical optoelectronic engineer work such as: Analyze, fabricate, or test fiber-optic links.; Design electro-optical sensing or imaging systems.; Determine commercial, industrial, scientific, or other uses for electro-optical applications or devices."
---
# Optoelectronic Engineer
Optoelectronic engineers design and develop optoelectronic systems and devices, such as UV sensors, photodiodes, and LEDs. Optoelectronic engineering combines optical engineering with electronic engineering in the design of these systems and devices. They conduct research, perform analysis, test the devices, and supervise the research.
## Core workflow
1. Analyze, fabricate, or test fiber-optic links.
2. Design electro-optical sensing or imaging systems.
3. Determine commercial, industrial, scientific, or other uses for electro-optical applications or devices.
4. Conduct research on new photonics technologies.
5. Design, integrate, or test photonics systems or components.
6. Analyze system performance or operational requirements.
7. Conduct testing to determine functionality or optimization or to establish limits of photonics systems or components.
8. Design gas lasers, solid state lasers, infrared, or other light emitting or light sensitive devices.
## 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)
- adjust engineering designs
- analyse test data
- approve engineering design
- conduct literature research
- conduct quality control analysis
- demonstrate disciplinary expertise
- design drawings
- design optical prototypes
- develop electronic test procedures
- develop optical test procedures
- digital twin technology
- electronic equipment standards
- electronics
- engineering principles
- interact professionally in research and professional environments
## Hot technologies
- SAS
- The MathWorks MATLAB
- Autodesk AutoCAD
- Dassault Systemes SolidWorks
- C
- Go
- Microsoft .NET Framework
- Microsoft Visual Basic
- Microsoft Outlook
- ESRI ArcGIS software
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/35d41f4f-334b-452e-9e31-99f376302493), O*NET 30.3 (17-2199.07). See manifest.json for licensing/attribution.*

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{
"name": "optoelectronic-engineer",
"title": "optoelectronic engineer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/35d41f4f-334b-452e-9e31-99f376302493",
"esco_code": "2152.1.11",
"isco_group": "2152",
"onet_soc": "17-2199.07",
"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": 26,
"dwas": 21,
"skills_essential": 45,
"skills_optional": 62,
"software": 52
},
"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
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 2
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 2
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 9
},
"AgriciDaniel/claude-ads": {
"repo": "https://github.com/AgriciDaniel/claude-ads",
"commit": "669c760",
"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": 2
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 7
},
"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
},
"indranilbanerjee/digital-marketing-pro": {
"repo": "https://github.com/indranilbanerjee/digital-marketing-pro",
"commit": "a3d119c",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 4
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 6
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 7
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 7
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"wondelai/skills": {
"repo": "https://github.com/wondelai/skills",
"commit": "326b380",
"license": "MIT",
"skills": 2
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 3
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 1
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 1
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 2
},
"wanshuiyin/Anti-Autoresearch": {
"repo": "https://github.com/wanshuiyin/Anti-Autoresearch",
"commit": "c7f7f0d",
"license": "MIT",
"skills": 1
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 1
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"JimLiu/baoyu-design": {
"repo": "https://github.com/JimLiu/baoyu-design",
"commit": "222ccbf",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 108,
"onet": 100,
"jobads": 36,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 156,
"stackx": 0
},
"share_percent": {
"esco": 26.7,
"onet": 24.7,
"jobads": 8.9,
"wiki_ai": 0.0,
"anthropic": 1.2,
"ai_skills": 38.5,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — optoelectronic-engineer
Proven, publicly available AI agent skills mapped to this occupation.
Nothing is copied from the sources: every entry is a name, a one-line
summary and a link to the upstream skill package. Each section names
its source repository, commit, license and retrieval date.
**Tiers:** `core` = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; `adjacent` =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
## Source: anthropics/skills
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
## Source: a5c-ai/babysitter
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `doe-designer` | core | Design of Experiments planning and analysis skill for factorial and response surface experiments. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/doe-designer) |
| `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) |
| `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) |
| `thought-experiment-design` | core | Construct, analyze, and evaluate philosophical thought experiments to test intuitions, reveal conceptual commitments, and probe theoretical implications | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/philosophy/skills/thought-experiment-design) |
| `growing-outside-in-systems` | core | Drive feature development using Outside-In TDD with Hexagonal Architecture. Design emerges through inline code, in-memory fakes, interface extraction, and deferred I/O. Use when building features, writing tests, or structuring backend … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/backend-development/skills/growing-outside-in-systems) |
| `experiment-planner-doe` | core | Design of Experiments skill for systematic optimization of nanomaterial synthesis and processing | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/nanotechnology/skills/experiment-planner-doe) |
## Source: aaron-he-zhu/aaron-marketing-skills
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ad-test-designer` | core | Use when the user asks to "design an A/B test", "set up a creative/landing test", "run an incrementality test", or "is this result statistically and practically material?"; produces a hypothesis, variant matrix, sample-size/duration/power … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/ad/orchestrate/ad-test-designer) |
| `message-test-designer` | core | Use when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagline"; produces a message-test design spec — hypothesis, panel and recruit … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/narrative/evaluate/message-test-designer) |
| `send-experiment-designer` | core | Use when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this email result statistically and practically material?"; produces a falsifiable … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/email/deliver/send-experiment-designer) |
## Source: AgriciDaniel/claude-ads
- Repository: [https://github.com/AgriciDaniel/claude-ads](https://github.com/AgriciDaniel/claude-ads) (commit `669c760`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ads-test` | core | Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, … | [source](https://github.com/AgriciDaniel/claude-ads/tree/669c760/skills/ads-test) |
## 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 |
|---|---|---|---|
| `ab-test-setup` | core | When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/marketing-skill/skills/ab-test-setup) |
| `product-skills` | core | Use when coordinating product work across the 12 bundled product sub-skills (RICE, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding) or the 4 … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/product-team/skills/product-skills) |
## Source: basicmachines-co/basic-memory
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
## 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 |
|---|---|---|---|
| `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) |
| `law-skills` | core | 9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law) |
| `psychology-research-guide` | core | Psychological research methods, experimental design, and analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/psychology-research-guide) |
| `aer-statspai` | core | Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/50-brycewang-aer-skills/skills/aer-statspai) |
| `automation-skills` | core | 10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/automation) |
| `deep-research-skills` | core | 13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/deep-research) |
| `metadata-skills` | core | 24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/literature/metadata) |
| `universal-ma-codebook` | core | Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/universal-ma-codebook) |
| `action-research-guide` | core | Design and conduct action research and participatory studies | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/action-research-guide) |
| `ai-ml-skills` | core | 27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/ai-ml) |
| `qualitative-research-guide` | core | Design and conduct qualitative research using grounded theory and case studies | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/qualitative-research-guide) |
| `experimental-design-guide` | core | Design rigorous experiments using DOE, factorial designs, and response surfaces | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/experimental-design-guide) |
## 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) |
| `ab-test-setup` | core | When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/business-marketing/ab-test-setup) |
| `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) |
| `pymoo` | core | Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pymoo) |
| `cobrapy` | core | Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cobrapy) |
| `hypothesis-generation` | core | Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/hypothesis-generation) |
## Source: dotnet/skills
- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `exp-mock-usage-analysis` | core | Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks. Use when the user asks to audit mock usage, find unused or unnecessary mock … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-experimental/skills/exp-mock-usage-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 |
|---|---|---|---|
| `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) |
| `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) |
| `hypothesis-generation` | core | Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Also owns … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/hypothesis-generation) |
## Source: HeshamFS/materials-simulation-skills
- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `parameter-optimization` | core | Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/parameter-optimization) |
## Source: indranilbanerjee/digital-marketing-pro
- Repository: [https://github.com/indranilbanerjee/digital-marketing-pro](https://github.com/indranilbanerjee/digital-marketing-pro) (commit `a3d119c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ab-test-plan` | core | Design A/B and multivariate tests. Use when: sample size calculation, testing hypothesis, CRO experimentation. | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/ab-test-plan) |
## 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 |
|---|---|---|---|
| `ab-testing` | core | When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/ab-testing) |
| `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: jabrena/plinth
- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `057-design-feature-toggles` | core | Use when designing, implementing, reviewing, testing, or cleaning up feature toggles, feature flags, kill switches, runtime configuration gates, canary controls, staged rollouts, experiments, or temporary compatibility switches in Java … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/057-design-feature-toggles) |
## 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 |
|---|---|---|---|
| `running-chaos-tests` | core | Execute chaos engineering experiments to test system resilience. Use when performing specialized testing. Trigger with phrases like "run chaos tests", "test resilience", or "inject failures". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/testing/chaos-engineering-toolkit/skills/running-chaos-tests) |
| `lean-startup` | core | Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/productivity/wondelai-lean-startup) |
| `hypothesis-tester` | core | Structured hypothesis formulation, experiment design, and results interpretation for Product Managers. Use when the user needs to validate an assumption, design an A/B test, evaluate experiment results, or decide whether to ship based on … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/productivity/pm-ai-partner/skills/hypothesis-tester) |
| `surge-experiment` | core | Growth experiment design — structure a growth hypothesis, define metric, baseline, expected lift, and kill condition for a single experiment. Use when asked to "design a growth experiment", "test this growth idea", "experiment framework", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/bundle/revenue-team/skills/surge-experiment) |
| `cro-methodology` | core | Audit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isnt converting", "conversion rate", "A/B test", "why visitors leave", "objection handling", "bounce … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/wondelai-cro-methodology) |
| `lumen-abtest` | core | A/B test design — produce an experiment spec with hypothesis, primary metric, MDE, sample size, run time, and decision rule. Also determines when NOT to A/B test and what to do instead. Use when asked to "design an A/B test", "should we … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/lumen-abtest) |
## Source: JimLiu/baoyu-design
- Repository: [https://github.com/JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) (commit `222ccbf`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `baoyu-design` | core | Create polished design artifacts as self-contained HTML: UI mockups, interactive prototypes, wireframes, landing pages, dashboards, app screens, mobile apps, slide decks (a.k.a. PPT / PowerPoint presentations), and visual explorations. Use … | [source](https://github.com/JimLiu/baoyu-design/tree/222ccbf/skills/baoyu-design) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `hypothesis-generation` | core | Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hypothesis-generation) |
| `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) |
| `cirq` | core | Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/cirq) |
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/adaptyv) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `hypothesis-generation` | core | Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hypothesis-generation) |
| `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) |
| `cirq` | core | Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/cirq) |
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/adaptyv) |
## 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 |
|---|---|---|---|
| `experiment-designer` | core | Design statistically rigorous A/B tests and interpret experiment results. Use when asked to design an experiment, run an A/B test, calculate sample size, interpret test results, or assess whether an experiment was successful. Produces a … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-advanced/skills/experiment-designer) |
## 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: 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) |
| `nw-bdd-methodology` | core | BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-bdd-methodology) |
## 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) |
| `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 |
|---|---|---|---|
| `hypothesis-testing` | core | Applies the scientific method to debugging by helping users form specific, testable hypotheses, design targeted experiments, and systematically confirm or reject theories to find root causes. Use when a user says their code isn't working, … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/debugging/hypothesis-testing) |
## Source: wanshuiyin/Anti-Autoresearch
- Repository: [https://github.com/wanshuiyin/Anti-Autoresearch](https://github.com/wanshuiyin/Anti-Autoresearch) (commit `c7f7f0d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `eval-design-forensics` | core | Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family D (experiment-forensics) cannot reach. Three patterns: train/test leakage means the reported score … | [source](https://github.com/wanshuiyin/Anti-Autoresearch/tree/c7f7f0d/skills/eval-design-forensics) |
## Source: wondelai/skills
- Repository: [https://github.com/wondelai/skills](https://github.com/wondelai/skills) (commit `326b380`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `lean-startup` | core | Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation … | [source](https://github.com/wondelai/skills/tree/326b380/lean-startup) |
| `cro-methodology` | core | Audit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isnt converting", "conversion rate", "A/B test", "why visitors leave", "objection handling", "bounce … | [source](https://github.com/wondelai/skills/tree/326b380/cro-methodology) |

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# Berufsbild (Deutschland) — Ingenieur/in - Optoelektronik
> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 59361,
> KldB 2010: B 26384 · via öffentliche BERUFENET-API,
> abgerufen 2026-07-12. Automatisches Label-Matching
> (Score 1.00); Inhalte paraphrasiert/gekürzt, Volltext beim
> Original: https://web.arbeitsagentur.de/berufenet/beruf/59361
## Aufgaben und Tätigkeiten kompakt
Ingenieure und Ingenieurinnen für Teilgebiet der Elektronik, das physikalische Effekte nutzt, die auf der Wechselwirkung von Optik und Elektronik beruhen, um besondere elektronische Schaltungen herzustellen
" name="Optoelektronik">Optoelektronik entwerfen neue Anwendungen und bringen diese zur Produktionsreife. Sie arbeiten in unterschiedlichen Bereichen, wie z.B. der Produktion optischer Messtechnik, der digitalen Bildverarbeitung oder der Lasertechnologie. Daneben realisieren sie Computergenerierte, interaktive 3D-Umgebung, die mit speziellen Technologien (z.B. VR-Brillen) erlebet werden kann
" name="Virtual Reality">Virtual-Reality- und deutsch: erweiterte Realität
Kombination aus wahrgenommener und vom Computer erzeugter Realität; z.B. können über eine halbtransparente Datenbrille kontextabhängige, digitale Informationen wie Texte, Videos oder Grafiken in das Sichtfeld eingeblendet und in die reale Umgebung integriert werden
" name="Augmented Reality">Augmented-Reality-Anwendungen. In der Produktion planen, organisieren und überwachen sie den gesamten Prozess und optimieren laufend Produktionsabläufe, -mittel und -verfahren. In Vertrieb, Marketing und Service beraten und betreuen sie Interessenten zu Produkten und Systemen. Sie führen Schulungen durch, erstellen und verbreiten Informations- und Werbemittel und leiten Kundenwünsche an Marketing und Produktion weiter.
## Tätigkeitsbezeichnungen
Ingenieur/in - Optoelektronik
Auch übliche Berufsbezeichnung/SynonymOptical Engineer
Berufsbezeichnung in englischer SpracheOptoelectronic design engineer (m/f)
Berufsbezeichnung in französischer SpracheIngénieur/Ingénieure en optronique
## Die Tätigkeit im Überblick
Ingenieure und Ingenieurinnen für Teilgebiet der Elektronik, das physikalische Effekte nutzt, die auf der Wechselwirkung von Optik und Elektronik beruhen, um besondere elektronische Schaltungen herzustellen
" name="Optoelektronik">Optoelektronik entwickeln und konstruieren Geräte, bei denen Optik, Teilgebiet der Mikroelektronik; befasst sich mit der technischen Herstellung von mikroelektronischen Bauelementen und Baugruppen (z.B. integrierte Schaltungen), die vorwiegend aus Halbleitermaterialien (z.B. Silizium, Germanium) bestehen
" name="Halbleitertechnik">Halbleiter- und Computertechnik zusammenspielen, für z.B. Industrie: Wird eingesetzt, um Materialien zu schneiden, formen oder bei Oberflächenveredelungsverfahren für Metalle
Medizin: Anwendung bei chirurgischen, dermatologischen oder dentalmedizinischen Eingriffen angewendet
Vermessungstechnik und Tunnelbau: Mit einem Laser als Richtstrahl werden Vermessungsarbeiten und Tiefbauarbeiten durchgeführt
" name="Lasertechnik">Laser-, Medizin- oder Messtechnik. Sie leiten die Fertigung und u.a. arbeiten in der Qualitätssicherung, im Kundenservice und Vertrieb.
## Trends
Industrie 4.0 in der ElektrotechnikFachkräfte in der Elektrotechnik entwickeln und integrieren Cyber-physische Systeme (CPS), die Maschinen, Anlagen und Infrastrukturen intelligent miteinander verbinden. Grundlage hierfür sind Embedded Systems mit eigener Sensorik, Rechenleistung und Aktorik. Zunehmend kommen Verfahren der Künstlichen Intelligenz (KI) zum Einsatz, um Produktionsprozesse zu optimieren, den Energieverbrauch zu senken, Wartungsbedarfe frühzeitig zu erkennen und die Betriebssicherheit zu erhöhen. Darüber hinaus gewinnen nachhaltige Produktionskonzepte, intelligente Energiemanagementsysteme sowie die Integration erneuerbarer Energien und flexibler Lasten an Bedeutung. Die erfolgreiche Gestaltung dieser Entwicklungen erfordert eine enge interdisziplinäre Zusammenarbeit von Fachkräften aus Elektrotechnik, Informatik, Automatisierungs- und Energietechnik und die kontinuierliche Weiterentwicklung beruflicher Kompetenzen.
Künstliche Intelligenz (KI) in der NanotechnologieIn der Forschung werden mithilfe der Interdisziplinäre Wissenschaft, die sich grundlegend mit der Nutzung neuer Funktionen von belebter und unbelebter Materie beschäftigt; basiert auf der geometrischen Größe sowie auf den materialspezifischen Eigenheiten von Nanostrukturen; mittels Nanotechnologie können z.B. Atome und Moleküle manipuliert werden
" name="Nanotechnologie">Nanotechnologie Materialeigenschaften von Stoffen auf molekularer Ebene verändert. englisch: Artificial Intelligence (AI)
Teilgebiet der Informatik, das Strukturen menschlicher Intelligenz untersucht, auf Computer überträgt und Programme für intelligente Problemlösungen entwickelt, z. B. Spracherkennung
" name="Künstliche Intelligenz (KI)">Künstliche Intelligenz (KI) erweitert zunehmend die Anwendungsmöglichkeiten: In der Medizin überwachen KI-Nanobots Körperzustände, in der Oberflächenbearbeitung beeinflussen KI-gesteuerte Mikroskope Moleküle gezielt auf kleinster Ebene. Führungskräfte in der Nanotechnologie erforschen aktiv, wie sie KI einsetzen, um bestehende Verfahren zu verbessern und neue Anwendungen zu entwickeln.
## Aufgaben und Tätigkeiten (Beschreibung)
Worum geht es?Ingenieure und Ingenieurinnen für Teilgebiet der Elektronik, das physikalische Effekte nutzt, die auf der Wechselwirkung von Optik und Elektronik beruhen, um besondere elektronische Schaltungen herzustellen
" name="Optoelektronik">Optoelektronik entwickeln und konstruieren Geräte, bei denen Optik, Teilgebiet der Mikroelektronik; befasst sich mit der technischen Herstellung von mikroelektronischen Bauelementen und Baugruppen (z.B. integrierte Schaltungen), die vorwiegend aus Halbleitermaterialien (z.B. Silizium, Germanium) bestehen
" name="Halbleitertechnik">Halbleiter- und Computertechnik zusammenspielen, z.B. im Bereich Industrie: Wird eingesetzt, um Materialien zu schneiden, formen oder bei Oberflächenveredelungsverfahren für Metalle
Medizin: Anwendung bei chirurgischen, dermatologischen oder dentalmedizinischen Eingriffen angewendet
Vermessungstechnik und Tunnelbau: Mit einem Laser als Richtstrahl werden Vermessungsarbeiten und Tiefbauarbeiten durchgeführt
" name="Lasertechnik">Laser-, Medizin- oder Messtechnik. Sie leiten die Fertigung und sind daneben unter anderem in der Qualitätssicherung, im Kundenservice oder im Vertrieb tätig.
Laseranwendungen und Messtechnik Ingenieure und Ingenieurinnen für Optoelektronik arbeiten an der Schnittstelle von Feinwerktechnik, Elektronik, physikalischer Technik (Optik) und Informatik. Optoelektronik ist eine Schlüsseltechnologie beispielweise in der auch: Nachrichtentechnik, Telekommunikationstechnik
Technik, die eingesetzt wird, um den Austausch von Informationen (Sprache, Bild, Text oder Daten) zwischen Personen, Personen und Maschinen oder zwischen Maschinen zu ermöglichen bzw. zu erleichtern; dazu gehören sowohl technische Kommunikationsmöglichkeiten mit und zwischen Computer-Systemen (Hard- und Software) als auch die Kommunikationstechnik über Telefon, Fax, Internet usw.
" name="Kommunikationstechnik">Kommunikationstechnik, wo optoelektronische Verfahren die Datenübertragung revolutioniert haben.
Laserlicht kann in Form exakt paralleler Strahlen über weite Entfernungen übertragen werden. Die daraus entstehende Möglichkeit, die gesamte Energie des Laserlichts auf eine Fläche von nur wenigen tausendstel Millimetern zu konzentrieren, erlaubt es, Licht als Werkzeug in der Materialbearbeitung einzusetzen. Auf dieser Grundlage entwickeln und produzieren Ingenieure und Ingenieurinnen für Optoelektronik Komponenten wie Hochleistungslaser.
Ein weiteres ihrer Arbeitsgebiete ist die Messtechnik. Alle Lic
## Aufgaben und Tätigkeiten im Einzelnen
Entwicklung und Konstruktion optische auch: Nachrichtentechnik, Telekommunikationstechnik
Technik, die eingesetzt wird, um den Austausch von Informationen (Sprache, Bild, Text oder Daten) zwischen Personen, Personen und Maschinen oder zwischen Maschinen zu ermöglichen bzw. zu erleichtern; dazu gehören sowohl technische Kommunikationsmöglichkeiten mit und zwischen Computer-Systemen (Hard- und Software) als auch die Kommunikationstechnik über Telefon, Fax, Internet usw.
" name="Kommunikationstechnik">Kommunikations- und Nachrichtentechnik entwickeln
Bilder z.B. in der Mess- und auch: Prozessautomatisierungstechnik
Elektrotechnik: Technikdisziplin, deren Zweck es ist, Maschinen, Anlagen und Prozesse zu automatisieren, so dass sie sich selbst steuern und ohne menschliches Eingreifen funktionieren
" name="Automatisierungstechnik">Automatisierungstechnik oder der Medizintechnik mithilfe von Methodisches Rechenverfahren zum Lösen einer vorgegebenen Aufgabe oder eines Problems
" name="Algorithmus">Algorithmen verarbeiten
Autoscheinwerfer, Handykameras sowie Solarzellen zur Energiegewinnung entwickeln
Anwendungsmöglichkeiten in der optischen Messtechnik entwickeln
Möglichkeiten der optischen Speziell in der Automatisierungs-, Mess-, Steuerungs- und Regelungstechnik: Bauelemente beziehungsweise elektronische Systeme, die physikalische Zustandsgrößen wie Druck, Temperatur oder Feuchtigkeit erfassen und in elektrische Signale umwandeln.
Speziell in der Lebensmittelherstellung und im Weinbau: Beurteilung von Lebensmitteln und Rohstoffen über die Sinnesorgane, zum Beispiel Geruch, Geschmack, Farbe (sensorische Prüfung).
" name="Sensorik">Sensorik projektieren
medizintechnische Lösungen der Optoelektonik entwickeln bzw. optimieren
Produktionsplanung und -überwachung Produktionsablauf unter Berücksichtigung terminlicher Vorgaben und der vorhandenen Maschinen- und Personalkapazität planen
Einsatz von Mitarbeitern/Mitarbeiterinnen planen, Mitarbeiterschulungen und motivationssteigernde Maßnahmen durchführen
Fertigungs- und Montageeinrichtungen und -abläufe für Erzeugnisse der Optoelektronik einsetzen, disponieren, steuern, überwachen und instand halten
wirtschaftliche Fertigungs-/Montageanlagen und -verfahren planen und einsetzen
Einhaltung der einschlägigen Vorschriften und Bestimmungen zu Tarifen, Umweltschutz und Unfallverhütung umsetzen und überwachen
Vertrieb und Service Kunden bzw. Unternehmen bei der Anschaffung von Produkten und deren Zubehör sowie bei

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# Market evidence report — optoelectronic-engineer
Source: **14 real job ads** (JSearch API, countries: us 14), extracted into the MSSQL evidence store; as of 2026-07-18.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 11 | 79 % |
| senior | 2 | 14 % |
| n/a | 1 | 7 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Regional breakdown
> **Corpus note:** 14 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** — 14 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 |
|---|---|
| Chief Technology Engineer - Photonics Packaging -- New Brunswick, NJ | 1 |
| Electro Optical Engineer | 1 |
| Electro-Optical Test & Integration Engineer | 1 |
| Epitaxial Process Engineer: Drive High-Yield Optoelectronics | 1 |
| Optical Design–Engineering Fellow | 1 |
| Optoelectronic DVT Engineer | 1 |
| Optoelectronic Semiconductor Packaging Engineer - Edison, NJ | 1 |
| Photonics Hardware Test Engineer Optoelectronics | 1 |
| Process and Integration Engineer, Optoelectronics | 1 |
| Product Engineer - Optoelectronics | 1 |
| Senior Optical Engineer | 1 |
| Senior Photonics Engineer | 1 |
| Silicon Photonics Design & Test Engineer | 1 |
| Spaceflight Electro-Optical Manufacturing Engineer | 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 — optoelectronic engineer
- **ESCO URI:** http://data.europa.eu/esco/occupation/35d41f4f-334b-452e-9e31-99f376302493
- **ESCO code:** 2152.1.11
- **ISCO-08 group:** 2152 — Electronics engineers
- **O*NET-SOC:** 17-2199.07 — Photonics Engineers (match: closeMatch)
## Description (ESCO)
Optoelectronic engineers design and develop optoelectronic systems and devices, such as UV sensors, photodiodes, and LEDs. Optoelectronic engineering combines optical engineering with electronic engineering in the design of these systems and devices. They conduct research, perform analysis, test the devices, and supervise the research.
## Definition
nan
## Alternative labels
- optoelectronic technology engineering adviser
- senior optoelectronic engineer
- opto-electronics engineer
- opto-electronical engineer
- optoelectronic engineering specialist
- engineer in optoelectronic systems
- opto-electronic engineer
- optoelectronic technology engineer
- optoelectronic technology engineering specialist
- optoelectronic engineering adviser
- optoelectronic technology engineering consultant
- opto electronics engineer
- optoelectronic engineering consultant
- optoelectronic systems engineer
- opto electronical engineer
- specialist in optoelectronic systems
- optoelectronic technology engineering expert
- optoelectronics engineer
- optoelectronic engineering expert
- engineer in optoelectronics
- specialist in optoelectronics
- opto electronic engineer
- optoelectronics specialist
- optoelectronical engineer

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# Competences — optoelectronic engineer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/35d41f4f-334b-452e-9e31-99f376302493).
## Essential
- **adjust engineering designs** (skill/competence)
- **analyse test data** (skill/competence)
- **approve engineering design** (skill/competence)
- **conduct literature research** (skill/competence)
- **conduct quality control analysis** (skill/competence)
- **demonstrate disciplinary expertise** (skill/competence)
- **design drawings** (knowledge)
- **design optical prototypes** (skill/competence)
- **develop electronic test procedures** (skill/competence)
- **develop optical test procedures** (skill/competence)
- **digital twin technology** (knowledge)
- **electronic equipment standards** (knowledge)
- **electronics** (knowledge)
- **engineering principles** (knowledge)
- **interact professionally in research and professional environments** (skill/competence)
- **interpret circuit diagrams** (skill/competence)
- **LED lighting components** (knowledge)
- **manage personal professional development** (skill/competence)
- **manage research data** (skill/competence)
- **mathematics** (knowledge)
- **model optical systems** (skill/competence)
- **operate open source software** (skill/competence)
- **operate precision measuring equipment** (skill/competence)
- **operate scientific measuring equipment** (skill/competence)
- **optical components** (knowledge)
- **optical engineering** (knowledge)
- **optical equipment standards** (knowledge)
- **optical glass characteristics** (knowledge)
- **optical instruments** (knowledge)
- **optical manufacturing process** (knowledge)
- **optics** (knowledge)
- **optoelectronic devices** (knowledge)
- **optoelectronics** (knowledge)
- **perform data analysis** (skill/competence)
- **perform project management** (skill/competence)
- **physics** (knowledge)
- **prepare production prototypes** (skill/competence)
- **read engineering drawings** (skill/competence)
- **record test data** (skill/competence)
- **refractive power** (knowledge)
- **report analysis results** (skill/competence)
- **synthesise information** (skill/competence)
- **test optical components** (skill/competence)
- **think abstractly** (skill/competence)
- **types of optical instruments** (knowledge)
## Optional
- acoustics (knowledge)
- apply blended learning (skill/competence)
- apply for research funding (skill/competence)
- apply research ethics and scientific integrity principles in research activities (skill/competence)
- apply technical communication skills (skill/competence)
- build business relationships (skill/competence)
- CAE software (knowledge)
- cavity optomechanics (knowledge)
- communicate with a non-scientific audience (skill/competence)
- communicate with customers (skill/competence)
- computer engineering (knowledge)
- conduct research across disciplines (skill/competence)
- control engineering (knowledge)
- coordinate engineering teams (skill/competence)
- create technical plans (skill/competence)
- define manufacturing quality criteria (skill/competence)
- develop product design (skill/competence)
- develop professional network with researchers and scientists (skill/competence)
- digital camera sensors (knowledge)
- disseminate results to the scientific community (skill/competence)
- draft bill of materials (skill/competence)
- draft scientific or academic papers and technical documentation (skill/competence)
- electromagnetic spectrum (knowledge)
- evaluate research activities (skill/competence)
- fibre optics (knowledge)
- increase the impact of science on policy and society (skill/competence)
- integrate gender dimension in research (skill/competence)
- lasers (knowledge)
- maintain optical equipment (skill/competence)
- maintain safe engineering watches (skill/competence)
- manage findable accessible interoperable and reusable data (skill/competence)
- manage intellectual property rights (skill/competence)
- manage open publications (skill/competence)
- mentor individuals (skill/competence)
- microelectromechanical systems (knowledge)
- microelectronics (knowledge)
- microoptics (knowledge)
- microprocessors (knowledge)
- microsensors (knowledge)
- microwave principles (knowledge)
- MOEM (knowledge)
- operate optical assembly equipment (skill/competence)
- operate precision machinery (skill/competence)
- optomechanical engineering (knowledge)
- perform resource planning (skill/competence)
- perform scientific research (skill/competence)
- photonics (knowledge)
- prepare assembly drawings (skill/competence)
- 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)
- publish academic research (skill/competence)
- radars (knowledge)
- semiconductors (knowledge)
- sensors (knowledge)
- speak different languages (skill/competence)
- teach in academic or vocational contexts (skill/competence)
- telecommunications engineering (knowledge)
- train employees (skill/competence)
- use CAD software (skill/competence)
- use precision tools (skill/competence)
- write scientific publications (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 14 ads, as of 2026-07-18)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **14 %**
- optical design — **14 %**
- process optimization — **14 %**
- reliability testing — **14 %**
### Methods
- statistical process control (SPC) — **14 %**
- lean manufacturing — **14 %**
- design of experiments (DOE) — **14 %**
<!-- market-evidence -->

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# Tasks & work activities — optoelectronic engineer
Source: O*NET 30.3, occupation 17-2199.07 (Photonics Engineers).
## Task statements
- **[Core]** Analyze, fabricate, or test fiber-optic links.
- **[Core]** Design electro-optical sensing or imaging systems.
- **[Core]** Determine commercial, industrial, scientific, or other uses for electro-optical applications or devices.
- **[Core]** Conduct research on new photonics technologies.
- **[Core]** Design, integrate, or test photonics systems or components.
- **[Core]** Analyze system performance or operational requirements.
- **[Core]** Conduct testing to determine functionality or optimization or to establish limits of photonics systems or components.
- **[Core]** Design gas lasers, solid state lasers, infrared, or other light emitting or light sensitive devices.
- **[Core]** Determine applications of photonics appropriate to meet product objectives or features.
- **[Core]** Develop or test photonic prototypes or models.
- **[Core]** Develop optical or imaging systems, such as optical imaging products, optical components, image processes, signal process technologies, or optical systems.
- **[Core]** Assist in the transition of photonic prototypes to production.
- **[Core]** Create or maintain photonic design histories.
- **[Core]** Oversee or provide expertise on manufacturing, assembly, or fabrication processes.
- **[Core]** Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.
- **[Core]** Train operators, engineers, or other personnel.
- **[Core]** Design photonics products, such as light sources, displays, or photovoltaics, to achieve increased energy efficiency.
- **[Core]** Write reports or proposals related to photonics research or development projects.
- **[Core]** Document photonics system or component design processes, including objectives, issues, or outcomes.
- **[Supplemental]** Select, purchase, set up, operate, or troubleshoot state-of-the-art laser cutting equipment.
- **[Supplemental]** Design laser machining equipment for purposes such as high-speed ablation.
- **[Supplemental]** Develop laser-processed designs, such as laser-cut medical devices.
- **[Supplemental]** Design or develop new crystals for photonics applications.
- **[Supplemental]** Design or redesign optical fibers to minimize energy loss.
- **[Supplemental]** Design solar energy photonics or other materials or devices to generate energy.
- **[Supplemental]** Develop photonics sensing or manufacturing technologies to improve the efficiency of manufacturing or related processes.
## Detailed work activities
- Analyze operational data to evaluate operations, processes or products.
- Create physical models or prototypes.
- Design electronic or computer equipment or instrumentation.
- Design energy production or management equipment or systems.
- Design industrial processing systems.
- Direct industrial production activities.
- Document technical design details.
- Fabricate devices or components.
- Identify new applications for existing technologies.
- Maintain operational records or records systems.
- Operate industrial equipment.
- Prepare detailed work plans.
- Prepare proposal documents.
- Prepare research or technical reports.
- Purchase materials, equipment, or other resources.
- Research advanced engineering designs or applications.
- Select tools, equipment, or technologies for use in operations or projects.
- Test performance of electrical, electronic, mechanical, or integrated systems or equipment.
- Train personnel on proper operational procedures.
- Update technical knowledge.
- Write reports or evaluations.

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# Tools & technology — optoelectronic engineer
Source: O*NET 30.3 'Software Skills' for 17-2199.07.
| Software | Category | Hot technology |
|---|---|---|
| SAS | Analytical or scientific software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| Autodesk AutoCAD | Computer aided design CAD software | yes |
| Dassault Systemes SolidWorks | Computer aided design CAD software | yes |
| C | Development environment software | yes |
| Go | Development environment software | yes |
| Microsoft .NET Framework | Development environment software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| ESRI ArcGIS software | Geographic information system | yes |
| C# | Object or component oriented development software | yes |
| C++ | Object or component oriented development software | yes |
| Oracle Java | Object or component oriented development software | yes |
| Perl | Object or component oriented development software | yes |
| Python | Object or component oriented development software | yes |
| R | Object or component oriented development software | yes |
| Microsoft Office software | Office suite software | yes |
| Linux | Operating system software | yes |
| Shell script | Operating system software | yes |
| UNIX | Operating system software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Facebook | Web page creation and editing software | yes |
| Microsoft Word | Word processing software | yes |
| Adept Scientific GRAMS | Analytical or scientific software | |
| BPM_CAD | Analytical or scientific software | |
| Finite element analysis FEA software | Analytical or scientific software | |
| Mathsoft Mathcad | Analytical or scientific software | |
| Pattern recognition software | Analytical or scientific software | |
| Photon Design FIMMPROP | Analytical or scientific software | |
| Photon Design PICWave | Analytical or scientific software | |
| Spectroscopy software | Analytical or scientific software | |
| Wolfram Research Mathematica | Analytical or scientific software | |
| Apollo Photonics APSS | Computer aided design CAD software | |
| Computer-aided drafting or design software | Computer aided design CAD software | |
| Dassault Systemes CATIA | Computer aided design CAD software | |
| Optical Research Associates LightTools | Computer aided design CAD software | |
| Optiwave OptiBPM | Computer aided design CAD software | |
| Optiwave OptiFDTD | Computer aided design CAD software | |
| Optiwave OptiSPICE | Computer aided design CAD software | |
| Photon Design CrystalWave | Computer aided design CAD software | |
| Photon Design FIMMWAVE | Computer aided design CAD software | |
| Photon Design OmniSim | Computer aided design CAD software | |
| Zemax | Computer aided design CAD software | |
| Structure query language SQL | Data base user interface and query software | |
| Formula translation/translator FORTRAN | Development environment software | |
| National Instruments LabVIEW | Development environment software | |
| ESRI software | Geographic information system | |
| QGIS | Geographic information system | |
| Mapping software | Map creation software | |
| Debugging software | Program testing software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 14 ads, as of 2026-07-18)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Fred — **14 %**
- JMP — **14 %**
- Microsoft Office — **14 %**
- Python — **14 %**
- Zemax — **14 %**
- SQL — **14 %**
<!-- market-evidence -->