feat: battery-simulation-engineer skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:58:20 +02:00
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# Data provenance — battery-simulation-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 — battery-simulation-engineer
"ESCO (occupation & competences)" : 14
"O*NET (tasks & tools)" : 172
"Job boards (market evidence)" : 109
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 159
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 14 | 3.1 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 172 | 37.5 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 109 | 23.7 % | 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 | 1.1 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 159 | 34.6 % | 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: battery-simulation-engineer
description: "Occupational skill for the role 'battery simulation engineer' (also: device test engineer, battery test development engineer, battery modeling specialist, battery simulation specialist, battery calibration engineer, electronics product test engineer). Use when the user asks for typical battery simulation engineer work such as: typical battery simulation engineer responsibilities"
---
# Battery Simulation Engineer
Battery simulation engineers predict the performance of batteries and battery systems under different conditions using mathematical models and simulation tools. They work with a team of engineers and scientists to create accurate and reliable simulations of the battery systems, which can be used to analyze and optimize the design, performance, and safety of the batteries. They are responsible for developing and maintaining the simulation models, performing simulations and analyzing the results, and providing recommendations for design changes and improvements.
## 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)
- algorithms
- computer programming
- computer science
- develop predictive models
- inspect data
- mechanical engineering
- perform product testing
- physics
- process data
- Python (computer programming)
- run simulations
- troubleshoot
## Hot technologies
- Apache Subversion SVN
- Autodesk AutoCAD
- Autodesk AutoCAD Civil 3D
- Autodesk Revit
- Bash
- Bentley MicroStation
- C
- C#
- C++
- Dassault Systemes SolidWorks
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/c2d36adb-ecf4-4823-980b-d84b0f11b2c8), O*NET 30.3 (17-2071.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "battery-simulation-engineer",
"title": "battery simulation engineer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/c2d36adb-ecf4-4823-980b-d84b0f11b2c8",
"esco_code": "2151.3",
"isco_group": "2151",
"onet_soc": "17-2071.00",
"crosswalk_match": "manual nearest via ISCO 2151 (Electrical Engineers)"
},
"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": 12,
"skills_optional": 1,
"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
},
"NVIDIA/skills": {
"repo": "https://github.com/NVIDIA/skills",
"commit": "153b14b",
"license": "CC-BY-4.0 (skills/docs), Apache-2.0 (code)",
"skills": 7
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 12
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 2
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 12
},
"glittercowboy/taches-cc-resources": {
"repo": "https://github.com/glittercowboy/taches-cc-resources",
"commit": "1757615",
"license": "MIT",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 7
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 5
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 1
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 4
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 4
},
"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": 3
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 1
},
"indranilbanerjee/digital-marketing-pro": {
"repo": "https://github.com/indranilbanerjee/digital-marketing-pro",
"commit": "a3d119c",
"license": "MIT",
"skills": 2
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 1
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 3
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"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
},
"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
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 2
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 1
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"pedrohcgs/claude-code-my-workflow": {
"repo": "https://github.com/pedrohcgs/claude-code-my-workflow",
"commit": "be53c12",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 73,
"adjacent": 7
}
},
"provenance": {
"items": {
"esco": 14,
"onet": 172,
"jobads": 109,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 159,
"stackx": 0
},
"share_percent": {
"esco": 3.1,
"onet": 37.5,
"jobads": 23.7,
"wiki_ai": 0.0,
"anthropic": 1.1,
"ai_skills": 34.6,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — battery-simulation-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: 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) |
| `gatling-load-testing` | core | Expert skill for Gatling simulation development, load test execution, and performance analysis. Write Gatling simulations in Scala DSL, configure injection profiles and feeders, define assertions, analyze HTML reports, and integrate with … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/performance-optimization/skills/gatling-load-testing) |
| `tokenomics` | core | Token economics simulation and analysis. Supports supply modeling, staking mechanisms, liquidity mining, governance dynamics, agent-based simulations, and cadCAD integration. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/cryptography-blockchain/skills/tokenomics) |
| `distribution-fitter` | core | Statistical distribution fitting skill for input modeling in simulation and analysis. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/distribution-fitter) |
| `fea-structural` | core | Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/mechanical-engineering/skills/fea-structural) |
| `opensim-modeler` | core | OpenSim musculoskeletal modeling skill for biomechanical simulation and analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/biomedical-engineering/skills/opensim-modeler) |
| `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) |
| `system-dynamics-modeler` | core | System dynamics modeling skill for feedback loop analysis, stock-flow diagrams, and dynamic simulation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/decision-intelligence/skills/system-dynamics-modeler) |
| `A/B Test Design` | core | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
| `process-simulation-modeler` | core | Discrete event simulation skill for process modeling, scenario testing, and optimization | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/operations/skills/process-simulation-modeler) |
| `regression-analyzer` | core | Skill for comprehensive regression analysis and modeling | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/regression-analyzer) |
## Source: 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 |
|---|---|---|---|
| `product-strategist` | core | Strategic product leadership toolkit for Head of Product covering OKR cascade generation, quarterly planning, competitive landscape analysis, product vision documents, and team scaling proposals. Use when creating quarterly OKR documents, … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/product-team/skills/product-strategist) |
## 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 |
|---|---|---|---|
| `climate-modeling-guide` | core | Climate simulation, modeling tools, and climate data analysis methods | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/geoscience/climate-modeling-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) |
| `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) |
| `statistical-modeling` | core | Use when estimating a statistical or econometric model, running a regression, specifying an identification strategy, testing a hypothesis, or fitting any model to empirical data. Guides the process (assumptions, estimation, reporting, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/statistical-modeling) |
| `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) |
| `lifelines` | core | Complete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/63-tondevrel-scientific-agent-skills/lifelines) |
| `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) |
## 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 |
|---|---|---|---|
| `scikit-survival` | core | Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scikit-survival) |
| `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) |
| `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) |
| `product-strategist` | core | Strategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/business-marketing/product-strategist) |
| `scvi-tools` | core | This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scvi-tools) |
| `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) |
| `gtars` | core | High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/gtars) |
| `qutip` | core | Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/qutip) |
| `anndata` | core | This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/anndata) |
| `pyopenms` | core | Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pyopenms) |
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/simpy) |
| `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) |
## 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 |
|---|---|---|---|
| `binlog-failure-analysis` | core | Analyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild target execution order, and generally any … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-msbuild/skills/binlog-failure-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 |
|---|---|---|---|
| `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) |
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/simpy) |
| `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) |
## 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: 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) |
| `md-analysis-planner` | core | Plan molecular dynamics post-processing for materials simulations, including RDF, MSD and diffusion, VACF/VDOS, coordination numbers, bond-angle distributions, stress-strain curves, equilibration detection, PBC unwrapping, and trajectory … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/md-analysis-planner) |
| `numerical-stability` | core | Analyze numerical stability for time-dependent PDE simulations — check CFL and Fourier criteria, perform von Neumann stability analysis, detect stiffness, evaluate matrix conditioning, and recommend explicit vs implicit time-stepping … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/core-numerical/numerical-stability) |
## 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 |
|---|---|---|---|
| `creative-testing-framework` | core | Design structured ad creative tests with A/B test plans, multivariate creative strategies, sample size calculations, and iteration cadences. Use when planning creative testing for ads, optimizing creative performance, or building a testing … | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/creative-testing-framework) |
| `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 |
|---|---|---|---|
| `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) |
| `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) |
| `product-strategist` | core | Strategic product leadership toolkit for Head of Product covering OKR cascade generation, quarterly planning, competitive landscape analysis, product vision documents, and team scaling proposals. Use when creating quarterly OKR documents, … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/product-strategist) |
## 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 |
|---|---|---|---|
| `152-java-performance-gatling` | core | Use when you need to set up Gatling performance testing for a Java Maven project — including adding Gatling dependencies and the Gatling Maven plugin, creating Java simulations, running gatling:test, configuring a simulation class, and … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/152-java-performance-gatling) |
## Source: K-Dense-AI/claude-scientific-skills
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hugging-science) |
| `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) |
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/simpy) |
| `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) |
## Source: K-Dense-AI/scientific-agent-skills
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hugging-science) |
| `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) |
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/simpy) |
| `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) |
## 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 |
|---|---|---|---|
| `performing-threat-emulation-with-atomic-red-team` | core | Executes Atomic Red Team tests for MITRE ATT&CK technique validation using the atomic-operator Python framework. Loads test definitions from YAML atomics, runs attack simulations, and validates detection coverage. Use when testing SIEM … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-threat-emulation-with-atomic-red-team) |
| `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: 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) |
## Source: pedrohcgs/claude-code-my-workflow
- Repository: [https://github.com/pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) (commit `be53c12`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `coauthor-brief` | core | Generate a co-author / collaborator handoff brief for a multi-author, multi-machine project — summarizing what changed since the last brief (git delta), the current state of each artifact (manuscript, analysis, slides), open questions, how … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/coauthor-brief) |
## 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) |
## 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: vibeeval/vibecosystem
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `experiment-loop` | core | Autonomous experiment loop: hypothesize > modify > test > evaluate > keep/discard > repeat. Run N experiments automatically with measurable metrics. Works for performance optimization, A/B testing, prompt engineering, and any measurable … | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/experiment-loop) |
## 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 |
|---|---|---|---|
| `regression-modeler` | core | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |
## Source: NVIDIA/skills
- Repository: [https://github.com/NVIDIA/skills](https://github.com/NVIDIA/skills) (commit `153b14b`, retrieved 2026-07-14)
- License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cudaq-guide` | core | CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cudaq-guide) |
| `omniverse-cad-to-simready` | core | Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady … | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/omniverse-cad-to-simready) |
| `omniverse-usd-performance-tuning` | adjacent | Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners. | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/omniverse-usd-performance-tuning) |
| `omniverse-realtime-viewer` | adjacent | Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents. | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/omniverse-realtime-viewer) |
| `physical-ai-infrastructure-setup-and-resilient-scaling` | adjacent | Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO … | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/physical-ai-infrastructure-setup-and-resilient-scaling) |
| `physical-ai-neural-reconstruction` | adjacent | Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup. | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/physical-ai-neural-reconstruction) |
| `tao-train-pointpillars` | adjacent | PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-pointpillars) |

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# Market evidence report — battery-simulation-engineer
Source: **67 real job ads** (JSearch API, countries: us 67), extracted into the MSSQL evidence store; as of 2026-07-09.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 54 | 81 % |
| senior | 8 | 12 % |
| junior | 3 | 4 % |
| n/a | 2 | 3 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Python | 23 | 34 % |
| 2 | MATLAB | 14 | 21 % |
| 3 | Simulink | 7 | 10 % |
| 4 | C++ | 5 | 7 % |
| 5 | COMSOL | 5 | 7 % |
| 6 | Microsoft Office | 5 | 7 % |
| 7 | Abaqus | 4 | 6 % |
| 8 | Selenium | 4 | 6 % |
| 9 | AWS | 3 | 4 % |
| 10 | CANalyzer | 3 | 4 % |
| 11 | dSpace Simulink | 3 | 4 % |
| 12 | Eclipse | 3 | 4 % |
| 13 | ETAS INCA | 3 | 4 % |
| 14 | gcc compiler | 3 | 4 % |
| 15 | gdb debugger | 3 | 4 % |
| 16 | Git | 3 | 4 % |
| 17 | GitLab | 3 | 4 % |
| 18 | GT-SUITE | 3 | 4 % |
| 19 | Hypermesh | 3 | 4 % |
| 20 | HyperView | 3 | 4 % |
| 21 | Java | 3 | 4 % |
| 22 | Jira | 3 | 4 % |
| 23 | MATLAB/Simulink | 3 | 4 % |
| 24 | PyBaMM | 3 | 4 % |
| 25 | Simscape | 3 | 4 % |
| 26 | Vehicle Spy | 3 | 4 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 10 | 15 % |
| 2 | electrochemical modeling | 9 | 13 % |
| 3 | test planning | 8 | 12 % |
| 4 | thermal modeling | 8 | 12 % |
| 5 | battery modeling | 7 | 10 % |
| 6 | troubleshooting | 6 | 9 % |
| 7 | simulation | 5 | 7 % |
| 8 | hil design | 4 | 6 % |
| 9 | structural analysis | 4 | 6 % |
| 10 | test plan development | 4 | 6 % |
| 11 | battery cell design | 3 | 4 % |
| 12 | cfd analysis | 3 | 4 % |
| 13 | data processing | 3 | 4 % |
| 14 | engineering project leadership | 3 | 4 % |
| 15 | failure mode analysis | 3 | 4 % |
| 16 | heat transfer analysis | 3 | 4 % |
| 17 | performance testing | 3 | 4 % |
| 18 | real time simulation | 3 | 4 % |
| 19 | regression testing | 3 | 4 % |
| 20 | requirements verification | 3 | 4 % |
| 21 | simulation analysis | 3 | 4 % |
| 22 | software development | 3 | 4 % |
| 23 | software testing | 3 | 4 % |
| 24 | system validation | 3 | 4 % |
| 25 | systems engineering | 3 | 4 % |
| 26 | technical documentation | 3 | 4 % |
| 27 | test execution | 3 | 4 % |
| 28 | thermal analysis | 3 | 4 % |
| 29 | validation | 3 | 4 % |
| 30 | verification | 3 | 4 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | scrum | 5 | 7 % |
| 2 | continuous integration | 4 | 6 % |
| 3 | agile principles | 3 | 4 % |
| 4 | dfss | 3 | 4 % |
| 5 | lean manufacturing | 3 | 4 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | test execution | 7 | 10 % |
| 2 | model development | 5 | 7 % |
| 3 | cross-functional collaboration | 4 | 6 % |
| 4 | cell design collaboration | 3 | 4 % |
| 5 | issue resolution | 3 | 4 % |
| 6 | leadership reporting | 3 | 4 % |
| 7 | model creation | 3 | 4 % |
| 8 | performance criteria definition | 3 | 4 % |
| 9 | requirement negotiation | 3 | 4 % |
| 10 | test plan development | 3 | 4 % |
| 11 | thermal model development | 3 | 4 % |
## Job title variants in the market
| Title | Ads |
|---|---|
| Battery Modeling Engineer | 5 |
| Battery Simulation Engineer | 5 |
| Battery and Propulsion Thermal 1D Engineer | 2 |
| Senior Software Engineer HIL Battery & Propulsion Simulation & Integration | 2 |
| Software Test Engineer | 2 |
| Test Engineer with Security Clearance | 2 |
| 1D Thermal Simulation Engineer EV HVAC & Battery | 1 |
| Advanced Test Engineer | 1 |
| Ample Inc - Simulation Engineer - EMI / EMC | 1 |
| AUTOMATED TEST ENGINEER | 1 |
| Battery Algorithms Engineer | 1 |
| Battery Cell Engineering Intern - Materials & Modeling | 1 |
| Battery Engineer | 1 |
| Battery Modeling & Data Visualization Engineer | 1 |
| Battery Modeling Engineer: AI-Driven Cell Design & Aging | 1 |
| Battery Modeling Engineer: ECM & SOC/SOH Specialist | 1 |
| Battery Modeling Engineer: Electrochemical Simulations | 1 |
| Battery Modeling Engineer: Enable Fast, Safe Drone Power | 1 |
| Battery Simulation & Computational Scientist Internship | 1 |
| Battery Simulation Engineer Drive EV Powertrain Insights | 1 |
| Battery Simulation Software Engineer | 1 |
| Battery Structural CAE Engineer | 1 |
| Battery Thermal 3D CFDVirtual Propulsion Engineer (VPE) | 1 |
| Battery Thermal Engineer | 1 |
| Battery Thermal Modeling Engineer — AEDT/Icepak Specialist | 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 — battery simulation engineer
- **ESCO URI:** http://data.europa.eu/esco/occupation/c2d36adb-ecf4-4823-980b-d84b0f11b2c8
- **ESCO code:** 2151.3
- **ISCO-08 group:** 2151 — Electrical engineers
## Description (ESCO)
Battery simulation engineers predict the performance of batteries and battery systems under different conditions using mathematical models and simulation tools. They work with a team of engineers and scientists to create accurate and reliable simulations of the battery systems, which can be used to analyze and optimize the design, performance, and safety of the batteries. They are responsible for developing and maintaining the simulation models, performing simulations and analyzing the results, and providing recommendations for design changes and improvements.
## Definition
nan
## Alternative labels
- device test engineer
- battery test development engineer
- battery modeling specialist
- battery simulation specialist
- battery calibration engineer
- electronics product test engineer
- battery simulation test expert
- electrical failure analysis engineer
- battery test validation engineer
- sustaining engineer

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# Competences — battery simulation engineer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/c2d36adb-ecf4-4823-980b-d84b0f11b2c8).
## Essential
- **algorithms** (knowledge)
- **computer programming** (knowledge)
- **computer science** (knowledge)
- **develop predictive models** (skill/competence)
- **inspect data** (skill/competence)
- **mechanical engineering** (knowledge)
- **perform product testing** (skill/competence)
- **physics** (knowledge)
- **process data** (skill/competence)
- **Python (computer programming)** (knowledge)
- **run simulations** (skill/competence)
- **troubleshoot** (skill/competence)
## Optional
- battery design (knowledge)

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# Tasks & work activities — battery simulation engineer
Source: O*NET 30.3, occupation 17-2071.00 (Electrical Engineers) — manual nearest-occupation mapping via ISCO group 2151; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Confer with engineers, customers, or others to discuss existing or potential engineering projects or products.
- **[Core]** Design, implement, maintain, or improve electrical instruments, equipment, facilities, components, products, or systems for commercial, industrial, or domestic purposes.
- **[Core]** Operate computer-assisted engineering or design software or equipment to perform engineering tasks.
- **[Core]** Direct or coordinate manufacturing, construction, installation, maintenance, support, documentation, or testing activities to ensure compliance with specifications, codes, or customer requirements.
- **[Core]** Perform detailed calculations to compute and establish manufacturing, construction, or installation standards or specifications.
- **[Core]** Plan or implement research methodology or procedures to apply principles of electrical theory to engineering projects.
- **[Core]** Prepare specifications for purchases of materials or equipment.
- **[Core]** Supervise or train project team members, as necessary.
- **[Core]** Investigate or test vendors' or competitors' products.
- **[Core]** Oversee project production efforts to assure projects are completed on time and within budget.
- **[Core]** Prepare technical drawings, specifications of electrical systems, or topographical maps to ensure that installation and operations conform to standards and customer requirements.
- **[Core]** Assist in developing capital project programs for new equipment or major repairs.
- **[Core]** Compile data and write reports regarding existing or potential electrical engineering studies or projects.
- **[Supplemental]** Collect data relating to commercial or residential development, population, or power system interconnection to determine operating efficiency of electrical systems.
- **[Supplemental]** Conduct field surveys or study maps, graphs, diagrams, or other data to identify and correct power system problems.
- **[Supplemental]** Design electrical systems or components that minimize electric energy requirements, such as lighting systems designed to account for natural lighting.
- **[Supplemental]** Develop systems that produce electricity with renewable energy sources, such as wind, solar, or biofuels.
- **[Supplemental]** Integrate electrical systems with renewable energy systems to improve overall efficiency.
- **[Core]** Estimate labor, material, or construction costs for budget preparation purposes.
- **[Core]** Investigate customer or public complaints to determine the nature and extent of problems.
- **[Core]** Inspect completed installations and observe operations to ensure conformance to design and equipment specifications and compliance with operational, safety, or environmental standards.
- **[Supplemental]** Develop software to control electrical systems.
## Detailed work activities
- Collect data about project sites.
- Confer with technical personnel to prepare designs or operational plans.
- Create electrical schematics.
- Design alternative energy systems.
- Design control systems for mechanical or other equipment.
- Design electrical equipment or systems.
- Design energy-efficient equipment or systems.
- Design structures or facilities.
- Develop software or applications for scientific or technical use.
- Develop software or computer applications.
- Devise research or testing protocols.
- Direct construction activities.
- Direct equipment maintenance or repair activities.
- Direct industrial production activities.
- Direct installation activities.
- Discuss designs or plans with clients.
- Estimate operational costs.
- Estimate technical or resource requirements for development or production projects.
- Inspect operational processes.
- Investigate system, equipment, or product failures.
- Maintain electronic equipment.
- Monitor the productivity or efficiency of industrial operations.
- Operate computer systems.
- Prepare operational reports.
- Prepare project budgets.
- Supervise engineering or other technical personnel.
- Survey land or bodies of water to measure or determine features.
- Test products for functionality or quality.
- Train personnel on proper operational procedures.

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# Tools & technology — battery simulation engineer
Source: O*NET 30.3, occupation 17-2071.00 (Electrical Engineers) — manual nearest-occupation mapping via ISCO group 2151; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Apache Subversion SVN | File versioning software | yes |
| Autodesk AutoCAD | Computer aided design CAD software | yes |
| Autodesk AutoCAD Civil 3D | Computer aided design CAD software | yes |
| Autodesk Revit | Computer aided design CAD software | yes |
| Bash | Operating system software | yes |
| Bentley MicroStation | Computer aided design CAD software | yes |
| C | Development environment software | yes |
| C# | Object or component oriented development software | yes |
| C++ | Object or component oriented development software | yes |
| Dassault Systemes SolidWorks | Computer aided design CAD software | yes |
| Eclipse IDE | Development environment software | yes |
| ESRI ArcGIS software | Geographic information system | yes |
| Linux | Operating system software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft SQL Server | Data base user interface and query software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Microsoft Visual Basic for Applications VBA | Development environment software | yes |
| Microsoft Visual Studio | Development environment software | yes |
| Microsoft Windows | Operating system software | yes |
| Microsoft Windows Server | Operating system software | yes |
| Microsoft Word | Word processing software | yes |
| Oracle Primavera Enterprise Project Portfolio Management | Project management software | yes |
| Perl | Object or component oriented development software | yes |
| Python | Object or component oriented development software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Shell script | Operating system software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| UNIX | Operating system software | yes |
| Ada | Development environment software | |
| Advanced boolean expression language ABEL | Development environment software | |
| Altera hardware description language AHDL | Development environment software | |
| APLAC | Analytical or scientific software | |
| ATD protocol | WAN switching software and firmware | |
| Automated material handling software | Analytical or scientific software | |
| Availability prediction modeling software | Analytical or scientific software | |
| AVEVA InTouch HMI | Industrial control software | |
| Cadence Allegro Design Entry Capture and Capture CIS | Computer aided design CAD software | |
| Cadence Encounter Test | Computer aided design CAD software | |
| Chip design software | Computer aided design CAD software | |
| Circuit simulation software | Analytical or scientific software | |
| Computer aided design and drafting CADD software | Computer aided design CAD software | |
| Computer aided design and drafting software CADD | Computer aided design CAD software | |
| Dassault Systemes CATIA | Computer aided design CAD software | |
| Debugging software | Program testing software | |
| Defect tracking software | Program testing software | |
| Digital timing diagram editing software | Analytical or scientific software | |
| Dynamic object-oriented requirements system DOORS | Analytical or scientific software | |
| Electromagnetic analysis software | Analytical or scientific software | |
| Electronic design automation EDA software | Computer aided design CAD software | |
| Electronic engineering calculator | Analytical or scientific software | |
| Embedded systems testing software | Analytical or scientific software | |
| ETAP | Geographic information system | |
| Failure mode and effects analysis FMEA software | Analytical or scientific software | |
| Failure mode effects and criticality analysis FMECA software | Analytical or scientific software | |
| Failure reporting analysis and corrective action FRACAS software | Analytical or scientific software | |
| Fault modeling software | Analytical or scientific software | |
| Fault tree analysis FTA software | Analytical or scientific software | |
| Field programmable gate array FPGA design software | Computer aided design CAD software | |
| Finite difference time domain FDTD software | Analytical or scientific software | |
| Finite element method FEM software | Analytical or scientific software | |
| Floor planning software | Computer aided design CAD software | |
| Functional verification software | Analytical or scientific software | |
| Hardware description language HDL | Development environment software | |
| Hewlett-Packard HP Semiconductor Parameter Analyzer | Analytical or scientific software | |
| IBM Notes | Electronic mail software | |
| Integrated development environment IDE software | Development environment software | |
| Isograph Markov | Analytical or scientific software | |
| JHDL | Object or component oriented development software | |
| Keysight Technologies Advanced Design System | Computer aided design CAD software | |
| Life cycle cost software | Analytical or scientific software | |
| Logic synthesis software | Analytical or scientific software | |
| MAGIC | Computer aided design CAD software | |
| MathWorks Simulink | Analytical or scientific software | |
| Matrix calculation software | Analytical or scientific software | |
| Mean time between failures MBTF software | Analytical or scientific software | |
| Mean time to failure MTTF software | Analytical or scientific software | |
| Mentor Graphics software | Computer aided design CAD software | |
| Microsoft OneNote | Word processing software | |
| Microsoft Visual Basic Scripting Edition VBScript | Development environment software | |
| Microwave circuit simulation software | Analytical or scientific software | |
| Minitab | Analytical or scientific software | |
| National Instruments LabVIEW | Development environment software | |
| Optimization software | Analytical or scientific software | |
| Oracle E-Business Suite Financials | Financial analysis software | |
| OrCAD Capture | Computer aided design CAD software | |
| Perforce Helix software | Configuration management software | |
| Physical design software | Computer aided design CAD software | |
| Power analysis software | Analytical or scientific software | |
| Powersim PSIM | Analytical or scientific software | |
| Printed circuit board design software | Computer aided design CAD software | |
| Programmable logic controller PLC code generation software | Development environment software | |
| Programmable logic controller PLC software | Industrial control software | |
| PTC Creo Parametric | Computer aided design CAD software | |
| Rapid prototyping software | Computer aided manufacturing CAM software | |
| Reliability analysis software | Analytical or scientific software | |
| ReliaSoft Weibull++ 6 | Analytical or scientific software | |
| Requirements management software | Requirements analysis and system architecture software | |
| Schematic design entry software | Computer aided design CAD software | |
| Siemens ModelSim | Analytical or scientific software | |
| Signal integrity simulation software | Analytical or scientific software | |
| Simulation program with integrated circuit emphasis SPICE | Analytical or scientific software | |
| SKM Systems Analysis Power Tools | Analytical or scientific software | |
| SmugMug Flickr | Graphics or photo imaging software | |
| Sun Microsystems Java | Object or component oriented development software | |
| Supervisory control and data acquisition SCADA software | Industrial control software | |
| Synopsys Design Compiler | Analytical or scientific software | |
| Synopsys PrimeTime | Analytical or scientific software | |
| Systems analysis programs for hands on integrated reliability evaluation software SAPHIRE | Analytical or scientific software | |
| Tektronix EZ-TEST | Analytical or scientific software | |
| Test automation software | Analytical or scientific software | |
| Time and motion analysis software | Analytical or scientific software | |
| Unified modeling language UML | Requirements analysis and system architecture software | |
| Verilog | Development environment software | |
| Very high-speed integrated circuit VHSIC hardware description language VHDL | Development environment software | |
| X.25 Protocol | WAN switching software and firmware | |
| Zuken E3.schematic | Computer aided design CAD software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 67 ads, as of 2026-07-09)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Python — **34 %**
- MATLAB — **21 %**
<!-- market-evidence -->