feat: transport-planner skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 17:02:00 +02:00
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# Data provenance — transport-planner
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 — transport-planner
"ESCO (occupation & competences)" : 50
"O*NET (tasks & tools)" : 89
"Job boards (market evidence)" : 106
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 159
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 50 | 12.2 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 89 | 21.8 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 106 | 25.9 % | 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) | 159 | 38.9 % | 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: transport-planner
description: "Occupational skill for the role 'transport planner' (also: road traffic planner, transport planning development engineer, development planning transport planner, traffic planner, highway and drainage engineer, traffic engineer). Use when the user asks for typical transport planner work such as: Prepare or review engineering studies or specifications.; Direct urban traffic counting programs.; Develop or test new methods or models of transportation analysis."
---
# Transport Planner
Transport planners develop and implement policies in order to improve transport systems, taking into account the social, environmental and economic factors. They collect and analyse traffic data using statistical modelling tools.
## Core workflow
1. Prepare or review engineering studies or specifications.
2. Direct urban traffic counting programs.
3. Develop or test new methods or models of transportation analysis.
4. Define or update information such as urban boundaries or classification of roadways.
5. Analyze information from traffic counting programs.
6. Review development plans for transportation system effects, infrastructure requirements, or compliance with applicable transportation regulations.
7. Prepare reports or recommendations on transportation planning.
8. Produce environmental documents, such as environmental assessments or environmental impact statements.
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- analyse environmental data
- analyse road traffic patterns
- analyse test data
- analyse transport business networks
- analyse transport studies
- analyse transportation costs
- apply statistical analysis techniques
- conduct environmental surveys
- develop urban transport studies
- environmental legislation
- environmental policy
- geographical routes
- identify statistical patterns
- interpret visual literacy
- monitor traffic flow
## Hot technologies
- IBM SPSS Statistics
- SAS
- Microsoft Power BI
- Tableau
- Autodesk AutoCAD
- Autodesk AutoCAD Civil 3D
- Bentley MicroStation
- Microsoft Access
- Structured query language SQL
- Adobe InDesign
<!-- hot-tech -->
## Hot technologies
Top tools from 30 gated job ads (see references/market.md, as of 2026-07-20):
- GIS — 27 %
- Synchro — 27 %
- HCS — 23 %
- Microsoft Excel — 23 %
- Microsoft Office — 17 %
- Microsoft PowerPoint — 17 %
- ArcGIS — 13 %
- MicroStation — 13 %
- Sidra — 13 %
- VISSIM — 13 %
<!-- hot-tech -->
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/93e4e70b-aae4-4fdc-8037-e48e7077564e), O*NET 30.3 (19-3099.01). See manifest.json for licensing/attribution.*

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{
"name": "transport-planner",
"title": "transport planner",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/93e4e70b-aae4-4fdc-8037-e48e7077564e",
"esco_code": "2164.3",
"isco_group": "2164",
"onet_soc": "19-3099.01",
"crosswalk_match": "exactMatch"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 22,
"dwas": 21,
"skills_essential": 26,
"skills_optional": 23,
"software": 45
},
"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
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 1
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 2
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 9
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"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": 1
},
"JasonColapietro/suede-creator-skills": {
"repo": "https://github.com/JasonColapietro/suede-creator-skills",
"commit": "0dc2aef",
"license": "MIT",
"skills": 1
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"indranilbanerjee/digital-marketing-pro": {
"repo": "https://github.com/indranilbanerjee/digital-marketing-pro",
"commit": "a3d119c",
"license": "MIT",
"skills": 2
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 3
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 11
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 11
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 5
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 6
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 5
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
},
"ahacker-1/cre-agent-skills": {
"repo": "https://github.com/ahacker-1/cre-agent-skills",
"commit": "618734e",
"license": "Apache-2.0",
"skills": 2
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"rsmdt/the-startup": {
"repo": "https://github.com/rsmdt/the-startup",
"commit": "ff6a0be",
"license": "MIT",
"skills": 1
},
"AgriciDaniel/claude-seo": {
"repo": "https://github.com/AgriciDaniel/claude-seo",
"commit": "6cf1ea9",
"license": "MIT",
"skills": 1
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 2
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 3
},
"AgriciDaniel/claude-ads": {
"repo": "https://github.com/AgriciDaniel/claude-ads",
"commit": "669c760",
"license": "MIT",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 1
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"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": 1
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 50,
"onet": 89,
"jobads": 106,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 159,
"stackx": 0
},
"share_percent": {
"esco": 12.2,
"onet": 21.8,
"jobads": 25.9,
"wiki_ai": 0.0,
"anthropic": 1.2,
"ai_skills": 38.9,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — transport-planner
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 |
|---|---|---|---|
| `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) |
| `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) |
| `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) |
| `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) |
| `pandas-dataframe-analyzer` | core | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
| `power-analysis-calculator` | core | Skill for statistical power analysis and sample size calculation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/power-analysis-calculator) |
| `iso14971-risk-analyzer` | core | Comprehensive risk management skill implementing ISO 14971:2019 methodology for medical device risk analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/biomedical-engineering/skills/iso14971-risk-analyzer) |
| `gpu-memory-analysis` | core | Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/gpu-memory-analysis) |
## 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 |
|---|---|---|---|
| `competitor-analysis` | core | Use when the user asks to "analyze competitors" or "竞品分析"; benchmarks competitor keywords, content, backlinks, AI citations, and traffic share into strengths, weaknesses, and an action plan. Not for a pairwise topic-coverage gap map — use … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/seo-geo/research/competitor-analysis) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `benchmark-methodology` | core | Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/benchmark-methodology) |
| `competitive-report-structure` | core | Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/competitive-report-structure) |
## 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: AgriciDaniel/claude-seo
- Repository: [https://github.com/AgriciDaniel/claude-seo](https://github.com/AgriciDaniel/claude-seo) (commit `6cf1ea9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-local) |
## Source: ahacker-1/cre-agent-skills
- Repository: [https://github.com/ahacker-1/cre-agent-skills](https://github.com/ahacker-1/cre-agent-skills) (commit `618734e`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cre-office` | core | CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-office) |
| `cre-underwriting` | core | CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-underwriting) |
## 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 |
|---|---|---|---|
| `new-project` | core | Full research pipeline from idea to paper. Orchestrates all phases — discovery, strategy, analysis, writing, peer review, and submission. Use when starting a new research project from scratch. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/new-project) |
| `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) |
| `academic-baseline` | core | Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/academic-baseline) |
| `research-ideation` | core | This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/research-ideation) |
| `results-analysis` | core | This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/results-analysis) |
| `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) |
| `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) |
| `review-response` | core | Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/review-response) |
| `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) |
| `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) |
| `choosing-causalpy-methods` | core | Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions. Use before writing analysis code when the method is not yet settled. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods) |
## 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 |
|---|---|---|---|
| `datacommons-client` | core | Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/datacommons-client) |
| `reactome-database` | core | Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/reactome-database) |
| `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) |
| `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) |
| `seaborn` | core | Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/seaborn) |
| `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) |
| `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) |
| `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) |
| `code-review-excellence` | core | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) |
| `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) |
## 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 |
|---|---|---|---|
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill that establishes text-based diagrams as the DEFAULT documentation standard. Use this skill when creating ANY scientific document, report, analysis, or visualization — it ensures all … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/markdown-mermaid-writing) |
| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statistical-analysis) |
| `statsmodels` | core | Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statsmodels) |
| `matlab` | core | MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/matlab) |
| `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) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/geomaster) |
## Source: hypnguyen1209/offensive-claude
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `malware-analysis` | core | Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing) | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/malware-analysis) |
## 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 |
|---|---|---|---|
| `content-decay-scan` | core | Scan content library for decay signals: declining traffic, falling rankings, outdated stats, dropped AI citations. Prioritizes refresh opportunities by business impact. Use when identifying content that needs refreshing, recovering lost … | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/content-decay-scan) |
| `four-core-documents` | core | Produce the Four Core Documents at strategic depth (61 total steps): Business & SBU Analysis, Segmentation Framework, Brand Positioning, DMFlow. Use when running Part 3 of the engagement methodology. | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/four-core-documents) |
## 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) |
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-local) |
## Source: JasonColapietro/suede-creator-skills
- Repository: [https://github.com/JasonColapietro/suede-creator-skills](https://github.com/JasonColapietro/suede-creator-skills) (commit `0dc2aef`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `suede-social` | core | Suede-owned organic social strategy and content discipline. Use when planning platform mix, posts, threads, cross-platform calendars, repurposing, listening, engagement, or cadence for a founder or brand account. NOT FOR: … | [source](https://github.com/JasonColapietro/suede-creator-skills/tree/0dc2aef/skills/suede-social) |
## 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 |
|---|---|---|---|
| `excel-lbo-modeler` | core | Build leveraged buyout (LBO) models in Excel with debt schedules and IRR analysis. Use when structuring LBO transactions or analyzing PE returns. Trigger with phrases like ''excel lbo'', ''build lbo model'', ''calculate pe returns''. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler) |
## 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 |
|---|---|---|---|
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
| `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) |
| `matlab` | core | MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/matlab) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/geomaster) |
| `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) |
## 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 |
|---|---|---|---|
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
| `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) |
| `matlab` | core | MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/matlab) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/geomaster) |
| `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) |
## Source: ljagiello/ctf-skills
- Repository: [https://github.com/ljagiello/ctf-skills](https://github.com/ljagiello/ctf-skills) (commit `d19f35f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ctf-forensics` | core | Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-forensics) |
## 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-readout` | core | Analyse a finished A/B test and write an honest results readout with real statistics. Use when asked to read out an A/B test, analyse experiment results, check if a result is statistically significant, or decide ship/no-ship from test … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-dataeng/skills/experiment-readout) |
| `win-loss-analysis` | core | Analyze why deals are won and lost and turn it into an action plan. Use when asked to run a win/loss analysis, review closed-won and closed-lost deals, understand why the team is losing to a competitor, or summarize sales feedback into … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-pmm/skills/win-loss-analysis) |
| `ab-test-readout` | core | Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-data/skills/ab-test-readout) |
## Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
| `analyzing-linux-kernel-rootkits` | core | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
## 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 |
|---|---|---|---|
| `ecommerce-social-media-marketing` | core | Social media marketing strategy for ecommerce brands. Content calendar planning, platform-specific strategies, social commerce optimization, influencer collaboration, and community building. Use when the user asks about social media … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/ecommerce-social-media-marketing) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
## Source: OpenSenseNova/SenseNova-Skills
- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `statistical-distribution-and-outlier-analysis` | core | 执行数值型数据的分布分析与异常值检测,支持通过正则表达式从文本中提取误差项并生成高分辨率的箱线图与直方图报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-visualization/histogram-visualization) |
| `excel-data-analysis-and-report-generation` | core | 从Excel提取多类型数据并生成包含可视化图表与下载链接的综合分析报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-result-export/report-generation-export) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
| `data-warehouse-experimentation` | core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
| `experiment-design` | core | A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/experiment-design) |
## Source: rsmdt/the-startup
- Repository: [https://github.com/rsmdt/the-startup](https://github.com/rsmdt/the-startup) (commit `ff6a0be`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `requirements-elicitation` | core | Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with … | [source](https://github.com/rsmdt/the-startup/tree/ff6a0be/plugins/team/skills/cross-cutting/requirements-elicitation) |
## Source: sanjay3290/ai-skills
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/deep-research) |

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# Berufsbild (Deutschland) — Verkehrsplaner/in
> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 15608,
> KldB 2010: B 51504 · 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/15608
## Aufgaben und Tätigkeiten kompakt
Verkehrsplaner und -planerinnen entwickeln Konzepte und Maßnahmenpläne, um Verkehrssysteme zu verbessern. Sie erstellen Verkehrs- und Marktanalysen und darauf aufbauend Verkehrsplanungen sowie Gutachten. Außerdem präsentieren sie ihre Planungen z.B. in Arbeitskreisen und vereinbaren gemeinwirtschaftliche Verkehrsleistungen. Verkehrsplaner und -planerinnen koordinieren auch die Umsetzung von Verkehrsentwicklungsplänen. Dabei achten sie auf Qualität und Kosteneffizienz. Sie führen auch Anhörungen zu Verkehrsprojekten durch und wirken bei Ausschreibungen mit.
## Die Tätigkeit im Überblick
Verkehrsplaner und -planerinnen entwickeln Verkehrsanlagen und -systeme, um Verkehrsprozesse zu optimieren.
## Trends
Nachhaltige StadtentwicklungIm Zuge der Deutschen Nachhaltigkeitsstrategie steht die nachhaltige Stadtentwicklung im Fokus. Ziele sind u.a. Gebäude umzubauen, statt sie abzureißen sowie Flächen mehrfach zu nutzen. Konzepte neuer Wohnformen in alten oder leer stehenden Gebäuden werden bereits entwickelt. Auch die Nutzung von Gebäuden im ländlichen Raum, z.B. als Co-Working-Spaces, wird umgesetzt. Ressourcenschonendes und klimafreundliches Bauen spielen beim Städtebau und der Dorfentwicklung eine wichtige Rolle. Für Fachkräfte aus Bereichen wie Verkehrs-, Stadt- und Regionalplanung, Architektur und Baugewerbe, Energie- und Gebäudetechnik entstehen umfangreiche Aufgabenbereiche.
Smart Cities und Smart RegionsAuf dem Weg zu Smart Cities und Smart Regions arbeiten Städte und Kommunen daran, digitale Technologien in Bereichen wie Verkehr, Verwaltung, Telekommunikation, Wohnen, Arbeiten, Energie und Abfall einzusetzen. Diese sollen effizient, sozial und nachhaltig den Bedürfnissen von Bürgerschaft, Unternehmen und Verwaltungen gerecht werden. Gleichzeitig werden in "Städten der Zukunft" urbane Lebensräume komplett neu durchdacht, etwa Wohnquartiere, Einkaufsflächen, Kulturangebote und Erholungsräume. Fach- und Führungskräfte im Bereich der Stadt-, Regional- und Verkehrsplanung setzen sich mit diesen Entwicklungen intensiv auseinander.
## Aufgaben und Tätigkeiten im Einzelnen
Konzepte und Maßnahmenpläne entwerfen und ausarbeiten, um Verkehrssysteme zu verbessern
Verkehrsdaten erheben, analysieren und bewerten, Markt- und Verkehrsanalysen erstellen
Verkehrsplanungen entwickeln, z.B. Parkraumkonzepte erarbeiten oder Fahrradwege planen
Strategien entwerfen, um öffentliche Verkehrsmittel zu fördern
Verkehrsgutachten erarbeiten
Umsetzung der Maßnahmen koordinieren
Städte und Gemeinden beraten
gemeinwirtschaftliche Verkehrsleistungen vereinbaren
bei Ausschreibungen von Verkehrsprojekten mitwirken
auf Qualität und Kosteneffizienz der Verkehrsmaßnahmen achten
Fördermittel verwalten
in der Öffentlichkeitsarbeit mitwirken
Marketingkonzepte erstellen, Meinungsforschungen durchführen
Öffentliche Veranstaltungen planen und durchführen, z.B. Bürgeranhörungen zu Verkehrsprojekten
## Arbeitsbereiche/Branchen
Verkehrsplaner und -planerinnen finden Beschäftigung
in Verkehrsplanungsämtern
in Ingenieurbüros für technische Fachplanung
bei kommunalen Verkehrsgemeinschaften
bei Forschungseinrichtungen und Hochschulen
## Arbeitsorte
Verkehrsplaner und -planerinnen arbeiten meist
in Büroräumen
in Besprechungsräumen
im Außendienst
Sie arbeiten ggf. auch
im Homeoffice bzw. mobil

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# Market evidence report — transport-planner
Source: **30 real job ads** (JSearch API, countries: us 30), extracted into the MSSQL evidence store; as of 2026-07-20.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 15 | 50 % |
| senior | 11 | 37 % |
| junior | 3 | 10 % |
| n/a | 1 | 3 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | GIS | 8 | 27 % |
| 2 | Synchro | 8 | 27 % |
| 3 | HCS | 7 | 23 % |
| 4 | Microsoft Excel | 7 | 23 % |
| 5 | Microsoft Office | 5 | 17 % |
| 6 | Microsoft PowerPoint | 5 | 17 % |
| 7 | ArcGIS | 4 | 13 % |
| 8 | MicroStation | 4 | 13 % |
| 9 | Sidra | 4 | 13 % |
| 10 | VISSIM | 4 | 13 % |
| 11 | Adobe Creative Suite | 3 | 10 % |
| 12 | AutoCAD | 3 | 10 % |
| 13 | Microsoft Word | 3 | 10 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | transportation planning | 14 | 47 % |
| 2 | data analysis | 13 | 43 % |
| 3 | project management | 6 | 20 % |
| 4 | traffic engineering | 6 | 20 % |
| 5 | traffic analysis | 5 | 17 % |
| 6 | business development | 4 | 13 % |
| 7 | data collection | 4 | 13 % |
| 8 | multimodal planning | 4 | 13 % |
| 9 | capture planning | 3 | 10 % |
| 10 | client relationship management | 3 | 10 % |
| 11 | growth strategy | 3 | 10 % |
| 12 | market analysis | 3 | 10 % |
| 13 | report writing | 3 | 10 % |
| 14 | stakeholder engagement | 3 | 10 % |
| 15 | technical writing | 3 | 10 % |
| 16 | traffic impact studies | 3 | 10 % |
| 17 | traffic signal design | 3 | 10 % |
| 18 | travel demand forecasting | 3 | 10 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | comprehensive planning | 3 | 10 % |
| 2 | multimodal planning | 3 | 10 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | client communication | 6 | 20 % |
| 2 | data analysis | 5 | 17 % |
| 3 | junior staff mentoring | 4 | 13 % |
| 4 | report preparation | 4 | 13 % |
| 5 | client relationship building | 3 | 10 % |
| 6 | growth strategy execution | 3 | 10 % |
| 7 | project management | 3 | 10 % |
| 8 | proposal development | 3 | 10 % |
| 9 | public engagement | 3 | 10 % |
## Regional breakdown
> **Corpus note:** 30 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
30 ads.
**Top hard skills:**
- transportation planning — 47 % (14 ads)
- data analysis — 43 % (13 ads)
- project management — 20 % (6 ads)
- traffic engineering — 20 % (6 ads)
- traffic analysis — 17 % (5 ads)
- business development — 13 % (4 ads)
- data collection — 13 % (4 ads)
- multimodal planning — 13 % (4 ads)
- capture planning — 10 % (3 ads)
- client relationship management — 10 % (3 ads)
**Top tools:**
- GIS — 27 % (8 ads)
- Synchro — 27 % (8 ads)
- HCS — 23 % (7 ads)
- Microsoft Excel — 23 % (7 ads)
- Microsoft Office — 17 % (5 ads)
- Microsoft PowerPoint — 17 % (5 ads)
- ArcGIS — 13 % (4 ads)
- MicroStation — 13 % (4 ads)
- Sidra — 13 % (4 ads)
- VISSIM — 13 % (4 ads)
**Seniority:** mid 50 % · senior 37 % · junior 10 % · n/a 3 %
### 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 |
|---|---|
| Transportation Planner | 3 |
| Areawide Growth Leader Transportation Planning | 2 |
| Senior Transportation Planner | 2 |
| Active Transportation Planner | 1 |
| Areawide Growth Leader - Transportation Planning | 1 |
| Associate Transportation Planner | 1 |
| Entry-Level Traffic Engineer — NYC Design & Planning | 1 |
| Experienced Traffic Engineer / Transportation Planner | 1 |
| Mid/Senior-level Transportation Planner / Engineer | 1 |
| Practice Lead — Transportation Engineering & Planning | 1 |
| Senior Multimodal Transportation Planner & Engineer | 1 |
| Senior Technical Transportation Engineer | 1 |
| Senior Transit Planner - Bus Rapid Transit (BRT) | 1 |
| Senior Transportation Planner / Engineer Travel Demand Modeler | 1 |
| Senior Transportation Planner/Modeler | 1 |
| Senior Transportation/Transportation Engineer; Multimodal/Highway Operations | 1 |
| Traffic Analysis Project Engineer | 1 |
| Transport Planner — Flexible 5-Hour Days + Benefits | 1 |
| Transport Planning & Traffic Engineering Intern | 1 |
| Transportation Engineering Intern | 1 |
| Transportation Planner / Traffic Engineering Professional | 1 |
| Transportation Planner/Engineer | 1 |
| Transportation Planner/Engineer | 1 |
| Transportation Planning Engineer III | 1 |
| Transportation Professional 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 — transport planner
- **ESCO URI:** http://data.europa.eu/esco/occupation/93e4e70b-aae4-4fdc-8037-e48e7077564e
- **ESCO code:** 2164.3
- **ISCO-08 group:** 2164 — Town and traffic planners
- **O*NET-SOC:** 19-3099.01 — Transportation Planners (match: exactMatch)
## Description (ESCO)
Transport planners develop and implement policies in order to improve transport systems, taking into account the social, environmental and economic factors. They collect and analyse traffic data using statistical modelling tools.
## Definition
nan
## Alternative labels
- road traffic planner
- transport planning development engineer
- development planning transport planner
- traffic planner
- highway and drainage engineer
- traffic engineer
- traffic and highway engineer
- transportation business change manager
- transport modeller
- senior transport planner
- junior transport planner

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# Competences — transport planner
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/93e4e70b-aae4-4fdc-8037-e48e7077564e).
## Essential
- **analyse environmental data** (skill/competence)
- **analyse road traffic patterns** (skill/competence)
- **analyse test data** (skill/competence)
- **analyse transport business networks** (skill/competence)
- **analyse transport studies** (skill/competence)
- **analyse transportation costs** (skill/competence)
- **apply statistical analysis techniques** (skill/competence)
- **conduct environmental surveys** (skill/competence)
- **develop urban transport studies** (skill/competence)
- **environmental legislation** (knowledge)
- **environmental policy** (knowledge)
- **geographical routes** (knowledge)
- **identify statistical patterns** (skill/competence)
- **interpret visual literacy** (skill/competence)
- **monitor traffic flow** (skill/competence)
- **prepare visual data** (skill/competence)
- **promote the use of sustainable transport** (skill/competence)
- **public law** (knowledge)
- **regulate traffic** (skill/competence)
- **report analysis results** (skill/competence)
- **statistical analysis system software** (knowledge)
- **statistics** (knowledge)
- **study traffic flow** (skill/competence)
- **traffic engineering** (knowledge)
- **urban planning** (knowledge)
- **urban planning law** (knowledge)
## Optional
- air traffic management (knowledge)
- carpooling services (knowledge)
- civil engineering (knowledge)
- design wayside signalling interlockings (skill/competence)
- educate public on road safety (skill/competence)
- give live presentation (skill/competence)
- implement route planning in smart mobility services (skill/competence)
- investigate road accidents (skill/competence)
- local geography (knowledge)
- manage car park operations (skill/competence)
- match vehicles with routes (skill/competence)
- mobility as a service (knowledge)
- parking regulations (knowledge)
- prepare scientific reports (skill/competence)
- promote public transport (skill/competence)
- provide information on train routes (skill/competence)
- rail infrastructure (knowledge)
- restrict bridge traffic (skill/competence)
- road traffic laws (knowledge)
- run preventive simulations (skill/competence)
- simulate transport problems (skill/competence)
- use consulting techniques (skill/competence)
- write leaflets (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 30 ads, as of 2026-07-20)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- transportation planning — **47 %**
- data analysis — **43 %**
- project management — **20 %**
- traffic engineering — **20 %**
### Responsibilities
- client communication — **20 %**
<!-- market-evidence -->

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# Tasks & work activities — transport planner
Source: O*NET 30.3, occupation 19-3099.01 (Transportation Planners).
## Task statements
- **[Core]** Prepare or review engineering studies or specifications.
- **[Core]** Direct urban traffic counting programs.
- **[Core]** Develop or test new methods or models of transportation analysis.
- **[Core]** Define or update information such as urban boundaries or classification of roadways.
- **[Core]** Analyze information from traffic counting programs.
- **[Core]** Review development plans for transportation system effects, infrastructure requirements, or compliance with applicable transportation regulations.
- **[Core]** Prepare reports or recommendations on transportation planning.
- **[Core]** Produce environmental documents, such as environmental assessments or environmental impact statements.
- **[Core]** Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs.
- **[Core]** Develop computer models to address transportation planning issues.
- **[Core]** Design transportation surveys to identify areas of public concern.
- **[Core]** Collaborate with engineers to research, analyze, or resolve complex transportation design issues.
- **[Core]** Recommend transportation system improvements or projects, based on economic, population, land-use, or traffic projections.
- **[Core]** Define regional or local transportation planning problems or priorities.
- **[Core]** Analyze information related to transportation, such as land use policies, environmental impact of projects, or long-range planning needs.
- **[Core]** Collaborate with other professionals to develop sustainable transportation strategies at the local, regional, or national level.
- **[Core]** Interpret data from traffic modeling software, geographic information systems, or associated databases.
- **[Core]** Design new or improved transport infrastructure, such as junction improvements, pedestrian projects, bus facilities, or car parking areas.
- **[Core]** Evaluate transportation project needs or costs.
- **[Core]** Prepare necessary documents to obtain planned project approvals or permits.
- **[Core]** Evaluate transportation-related consequences of federal or state legislative proposals.
- **[Supplemental]** Represent jurisdictions in the legislative or administrative approval of land development projects.
## Detailed work activities
- Advise others on matters of public policy.
- Analyze costs and benefits of proposed designs or projects.
- Analyze data to identify or resolve operational problems.
- Analyze data to identify trends or relationships among variables.
- Analyze traffic data.
- Appraise environmental impact of regulations or policies.
- Collaborate with technical specialists to resolve design or development problems.
- Communicate with the public on environmental issues.
- Design civil structures or systems.
- Determine causes of operational problems or failures.
- Develop methods of social or economic research.
- Develop theories or models of physical phenomena.
- Direct scientific activities.
- Evaluate civic projects or public policies.
- Interpret research or operational data.
- Prepare documentation for permits or licenses.
- Prepare information or documentation related to legal or regulatory matters.
- Prepare research or technical reports on environmental issues.
- Prepare scientific or technical reports or presentations.
- Represent the interests of clients in legal proceedings.
- Represent the organization in external relations.

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# Tools & technology — transport planner
Source: O*NET 30.3 'Software Skills' for 19-3099.01.
| Software | Category | Hot technology |
|---|---|---|
| IBM SPSS Statistics | Analytical or scientific software | yes |
| SAS | Analytical or scientific software | yes |
| Microsoft Power BI | Business intelligence and data analysis software | yes |
| Tableau | Business intelligence and data analysis software | yes |
| Autodesk AutoCAD | Computer aided design CAD software | yes |
| Autodesk AutoCAD Civil 3D | Computer aided design CAD software | yes |
| Bentley MicroStation | Computer aided design CAD software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| Adobe InDesign | Desktop publishing software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Adobe Acrobat | Document management software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| ESRI ArcGIS software | Geographic information system | yes |
| Adobe Illustrator | Graphics or photo imaging software | yes |
| Adobe Photoshop | Graphics or photo imaging software | yes |
| Python | Object or component oriented development software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Project | Project management software | yes |
| Oracle Primavera Enterprise Project Portfolio Management | Project management software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Word | Word processing software | yes |
| Citilabs Cube | Analytical or scientific software | |
| Crash Mapping Analysis Tool CMAT | Analytical or scientific software | |
| Dowling Associates TRAFFIX | Analytical or scientific software | |
| Iteris Turbo Architecture | Analytical or scientific software | |
| McTrans Center TSIS-CORSIM | Analytical or scientific software | |
| McTrans HCS+ | Analytical or scientific software | |
| PTV VISUM | Analytical or scientific software | |
| Quadstone Paramics | Analytical or scientific software | |
| Roundabout Delay RODEL | Analytical or scientific software | |
| Strong Concepts TEAPAC | Analytical or scientific software | |
| Texas Transportation Institute TTI Progression Analysis and Signal System Evaluation Routine PASSER | Analytical or scientific software | |
| TRL Software TRANSYT | Analytical or scientific software | |
| Visual Solutions VisSIM | Analytical or scientific software | |
| Caliper TransCAD | Computer aided design CAD software | |
| ESRI ArcView | Geographic information system | |
| Geographic information system GIS software | Geographic information system | |
| Geographic information system GIS systems | Geographic information system | |
| Traffic signal software | Industrial control software | |
| Web browser software | Internet browser software | |
| MapInfo | Map creation software | |
| Transportation management system TMS software | Mobile location based services software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 30 ads, as of 2026-07-20)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Synchro — **27 %**
- GIS — **27 %**
- HCS — **23 %**
- Microsoft Excel — **23 %**
<!-- market-evidence -->