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feat: rail-traffic-controller skill package v0.1.0

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# Data provenance — rail-traffic-controller
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 — rail-traffic-controller
"ESCO (occupation & competences)" : 26
"O*NET (tasks & tools)" : 35
"Job boards (market evidence)" : 129
"Anthropic official Claude skills" : 6
"External AI skill packs (mapped)" : 134
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 26 | 7.9 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 35 | 10.6 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 129 | 39.1 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 6 | 1.8 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 134 | 40.6 % | 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: rail-traffic-controller
description: "Occupational skill for the role 'rail traffic controller' (also: rail traffic signaller, signal box operator, signal box controller, controller of rail traffic, railway signal operator, train controller). Use when the user asks for typical rail traffic controller work such as: Install, inspect, maintain, and repair various railroad service equipment on the road or in the shop, including railroad signal systems.; Inspect and test operation, mechanical parts, and circuitry of gate crossings, signals, and signal equipment such as interlocks and hotbox detectors.; Inspect switch-controlling mechanisms on trolley wires and in track beds, using hand tools and test equipment."
---
# Rail Traffic Controller
Rail traffic controllers operate signals and points that help make sure trains run safely and on time. They operate from a signal box in order to control the order and movement of trains and ensure safety at all times. They are responsible for maintaining safety standards when trains are running normally and also in degraded or emergency operational situations.
## Core workflow
1. Install, inspect, maintain, and repair various railroad service equipment on the road or in the shop, including railroad signal systems.
2. Inspect and test operation, mechanical parts, and circuitry of gate crossings, signals, and signal equipment such as interlocks and hotbox detectors.
3. Inspect switch-controlling mechanisms on trolley wires and in track beds, using hand tools and test equipment.
4. Drive motor vehicles to job sites.
5. Tighten loose bolts, using wrenches, and test circuits and connections by opening and closing gates.
6. Inspect electrical units of railroad grade crossing gates and repair loose bolts and defective electrical connections and parts.
7. Replace defective wiring, broken lenses, or burned-out light bulbs.
8. Record and report information about mileage or track inspected, repairs performed, and equipment requiring replacement.
## 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)
- handle stressful situations in the work place
- maintain computerised records of railway traffic
- maintain railway signal equipment
- manage train working timetable
- mark differences in colours
- mechanics of trains
- modern power signalling systems
- operate LED-based panel signal boxes
- operate railway communication systems
- operate train integrated electronic control centre
- operate train signalling equipment
- oversee operational safety on trains
- oversee the daily train operations plan
- process data from railway control rooms
- provide information on train routes
## Hot technologies
- Microsoft Outlook
- Microsoft Office software
- Microsoft PowerPoint
- Microsoft Excel
- Microsoft Word
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/f643bff3-74ef-48d1-b033-820e2d8659e9), O*NET 30.3 (49-9097.00). See manifest.json for licensing/attribution.*

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{
"name": "rail-traffic-controller",
"title": "rail traffic controller",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/f643bff3-74ef-48d1-b033-820e2d8659e9",
"esco_code": "4323.13",
"isco_group": "4323",
"onet_soc": "49-9097.00",
"crosswalk_match": "closeMatch"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 12,
"dwas": 14,
"skills_essential": 21,
"skills_optional": 4,
"software": 8
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 3
},
"wshobson/agents": {
"repo": "https://github.com/wshobson/agents",
"commit": "6fd3247",
"license": "MIT (c) Seth Hobson",
"skills": 1
},
"NVIDIA/skills": {
"repo": "https://github.com/NVIDIA/skills",
"commit": "153b14b",
"license": "CC-BY-4.0 (skills/docs), Apache-2.0 (code)",
"skills": 12
},
"google/skills": {
"repo": "https://github.com/google/skills",
"commit": "b15f327",
"license": "Apache-2.0",
"skills": 12
},
"phuryn/pm-skills": {
"repo": "https://github.com/phuryn/pm-skills",
"commit": "18468a9",
"license": "MIT",
"skills": 9
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 4
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 3
},
"microsoft/skills": {
"repo": "https://github.com/microsoft/skills",
"commit": "dc543aa",
"license": "MIT",
"skills": 2
},
"ahacker-1/cre-agent-skills": {
"repo": "https://github.com/ahacker-1/cre-agent-skills",
"commit": "618734e",
"license": "Apache-2.0",
"skills": 1
},
"Sushegaad/Claude-Skills-Governance-Risk-and-Compliance": {
"repo": "https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance",
"commit": "71d8920",
"license": "MIT",
"skills": 2
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 4
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 2
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 4
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 11
},
"jeffallan/claude-skills": {
"repo": "https://github.com/jeffallan/claude-skills",
"commit": "e8be415",
"license": "MIT",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 48,
"adjacent": 32
}
},
"provenance": {
"items": {
"esco": 26,
"onet": 35,
"jobads": 129,
"wiki_ai": 0,
"anthropic": 6,
"ai_skills": 134,
"stackx": 0
},
"share_percent": {
"esco": 7.9,
"onet": 10.6,
"jobads": 39.1,
"wiki_ai": 0.0,
"anthropic": 1.8,
"ai_skills": 40.6,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — rail-traffic-controller
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 |
|---|---|---|---|
| `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) |
| `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) |
| `xlsx` | adjacent | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, … | [source](https://github.com/anthropics/skills/tree/main/skills/xlsx) |
## Source: wshobson/agents
- Repository: [https://github.com/wshobson/agents](https://github.com/wshobson/agents) (commit `6fd3247`, retrieved 2026-07-14)
- License: MIT (c) Seth Hobson
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `file-conversion` | adjacent | Convert files between formats — PDF to Word, HEIC to JPG, MP4 to MP3, CSV to JSON, EPUB to MOBI, and 999 total routes across images, video, audio, documents, data, fonts, ebooks, and archives. Free via changethisfile.com, no API key or … | [source](https://github.com/wshobson/agents/tree/main/plugins/file-conversion/skills/file-conversion) |
## 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 |
|---|---|---|---|
| `lms-admin` | core | Configure and manage Learning Management System operations including courses, enrollments, compliance training, and learning analytics | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/human-resources/skills/lms-admin) |
| `evidently-drift-detector` | core | Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/evidently-drift-detector) |
| `inventory-optimizer` | core | Inventory management optimization skill with safety stock calculation, reorder point determination, and ABC analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/operations/skills/inventory-optimizer) |
## 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 |
|---|---|---|---|
| `quality-nonconformance` | core | Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/quality-nonconformance) |
## 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-asset-management` | core | CRE Asset Management analysis suite — 9 specialist skills for post-acquisition multifamily operations including annual budgeting, monthly variance analysis, rent collection, renewal decisions, lease-up tracking, capex execution, NOI … | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-asset-management) |
## 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 |
|---|---|---|---|
| `risk-management-specialist` | core | Medical device risk management specialist implementing ISO 14971 throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use when user mentions risk management, ISO … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/ra-qm-team/skills/risk-management-specialist) |
| `email-template-builder` | core | Build complete transactional email systems: React Email templates, provider integration (Resend, Postmark, SendGrid, AWS SES), preview server, i18n support, dark mode, spam optimization, analytics tracking. Use when adding transactional … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering-team/skills/email-template-builder) |
| `senior-pm` | core | Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/project-management/skills/senior-pm) |
| `capa-officer` | core | CAPA system management for medical device QMS. Covers root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics. Use when running CAPA investigations, 5-Why analysis, fishbone diagrams, root cause … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/ra-qm-team/skills/capa-officer) |
## Source: davepoon/buildwithclaude
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `sendgrid-automation` | core | Automate SendGrid email operations including sending emails, managing contacts/lists, sender identities, templates, and analytics via Rube MCP (Composio). Always search tools first for current schemas. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/sendgrid-automation) |
## 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 |
|---|---|---|---|
| `it-operations` | core | Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/it-operations) |
| `risk-management-specialist` | core | Senior Risk Management specialist for medical device companies implementing ISO 14971 risk management throughout product lifecycle. Provides risk analysis, risk evaluation, risk control, and post-production information analysis. Use for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/risk-management-specialist) |
| `sql-pro` | core | Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/database/sql-pro) |
| `geopandas` | core | Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/geopandas) |
## 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 |
|---|---|---|---|
| `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) |
| `geopandas` | core | Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/geopandas) |
## Source: jeffallan/claude-skills
- Repository: [https://github.com/jeffallan/claude-skills](https://github.com/jeffallan/claude-skills) (commit `e8be415`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `postgres-pro` | core | Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring. | [source](https://github.com/jeffallan/claude-skills/tree/e8be415/skills/postgres-pro) |
## 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 |
|---|---|---|---|
| `aggregating-performance-metrics` | core | Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/metrics-aggregator/skills/aggregating-performance-metrics) |
| `chart-type-recommender` | core | Manage chart type recommender operations. Auto-activating skill for Data Analytics. Triggers on: chart type recommender, chart type recommender Part of the Data Analytics skill category. Use when working with chart type recommender … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/chart-type-recommender) |
| `churn-analysis-helper` | core | Configure with churn analysis helper operations. Auto-activating skill for Data Analytics. Triggers on: churn analysis helper, churn analysis helper Part of the Data Analytics skill category. Use when working with churn analysis helper … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/churn-analysis-helper) |
| `cohort-analysis-creator` | core | Create cohort analysis creator operations. Auto-activating skill for Data Analytics. Triggers on: cohort analysis creator, cohort analysis creator Part of the Data Analytics skill category. Use when working with cohort analysis creator … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/cohort-analysis-creator) |
| `funnel-analysis-builder` | core | Build funnel analysis builder operations. Auto-activating skill for Data Analytics. Triggers on: funnel analysis builder, funnel analysis builder Part of the Data Analytics skill category. Use when working with funnel analysis builder … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/funnel-analysis-builder) |
| `metric-calculator` | core | Configure and manage - Calculate metric calculator operations. Auto-activating skill for Data Analytics. Triggers on: metric calculator, metric calculator Part of the Data Analytics skill category. Use when working with metric calculator … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/metric-calculator) |
| `regression-analysis-helper` | core | Configure with regression analysis helper operations. Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category. Use when working with regression … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/regression-analysis-helper) |
| `retention-calculator` | core | Configure and manage - Calculate retention calculator operations. Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category. Use when working with retention … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/retention-calculator) |
| `time-series-decomposer` | core | Manage time series decomposer operations. Auto-activating skill for Data Analytics. Triggers on: time series decomposer, time series decomposer Part of the Data Analytics skill category. Use when working with time series decomposer … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/time-series-decomposer) |
| `visualization-best-practices` | core | Manage visualization best practices operations. Auto-activating skill for Data Analytics. Triggers on: visualization best practices, visualization best practices Part of the Data Analytics skill category. Use when working with … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/12-data-analytics/visualization-best-practices) |
| `kpi-dashboard-template` | core | Manage kpi dashboard template operations. Auto-activating skill for Enterprise Workflows. Triggers on: kpi dashboard template, kpi dashboard template Part of the Enterprise Workflows skill category. Use when working with kpi dashboard … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/20-enterprise-workflows/kpi-dashboard-template) |
## 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 |
|---|---|---|---|
| `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) |
| `astropy` | core | Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/astropy) |
| `geopandas` | core | Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/geopandas) |
## 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 |
|---|---|---|---|
| `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) |
| `astropy` | core | Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/astropy) |
| `geopandas` | core | Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/geopandas) |
## Source: microsoft/skills
- Repository: [https://github.com/microsoft/skills](https://github.com/microsoft/skills) (commit `dc543aa`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `azure-storage-file-datalake-py` | core | Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations. Triggers: "data lake", "DataLakeServiceClient", "FileSystemClient", "ADLS Gen2", "hierarchical namespace". | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/plugins/azure-sdk-python/skills/azure-storage-file-datalake-py) |
| `azure-mgmt-applicationinsights-dotnet` | core | Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management. Use for creating Application Insights components, web tests, workbooks, analytics items, and API keys. Triggers: … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/plugins/azure-sdk-dotnet/skills/azure-mgmt-applicationinsights-dotnet) |
## 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 |
|---|---|---|---|
| `building-incident-response-dashboard` | core | Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/building-incident-response-dashboard) |
| `detecting-shadow-api-endpoints` | core | Discover and inventory shadow API endpoints that operate outside documented specifications using traffic analysis, code scanning, and API discovery platforms. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-shadow-api-endpoints) |
| `deploying-osquery-for-endpoint-monitoring` | core | Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration. Use when building visibility into endpoint state, threat … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/deploying-osquery-for-endpoint-monitoring) |
| `implementing-alert-fatigue-reduction` | core | Implements strategies to reduce SOC alert fatigue by tuning detection rules, consolidating duplicate alerts, implementing risk-based alerting, and measuring alert quality metrics to maintain analyst effectiveness and prevent critical alert … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/implementing-alert-fatigue-reduction) |
## Source: secondsky/claude-skills
- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `websocket-implementation` | core | Implements real-time WebSocket communication with connection management, room-based messaging, and horizontal scaling. Use when building chat systems, live notifications, collaborative tools, or real-time dashboards. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/websocket-implementation/skills/websocket-implementation) |
## Source: Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
- Repository: [https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance](https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance) (commit `71d8920`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cis-controls` | core | Expert CIS Controls v8 (CIS Top 18) advisor — implementation group scoping (IG1/IG2/IG3), control gap assessments, safeguard-level guidance, asset inventory, software inventory, data protection, secure configuration, account management, … | [source](https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance/tree/71d8920/plugins/cis-controls/skills/cis-controls) |
| `ism` | core | Expert Australian Information Security Manual (ISM) advisor for government entities and their supply chains. Use for ISM control selection, gap analysis, system authorisation, IRAP assessment preparation, security documentation, and ASD … | [source](https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-Compliance/tree/71d8920/plugins/ism/skills/ism) |
## Source: google/skills
- Repository: [https://github.com/google/skills](https://github.com/google/skills) (commit `b15f327`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `bigquery-basics` | core | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-basics) |
| `datalineage-bigquery-asset-impact-analysis` | core | Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/datalineage-bigquery-asset-impact-analysis) |
| `alloydb-basics` | adjacent | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/alloydb-basics) |
| `google-analytics-data-api-basics` | adjacent | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-data-api-basics) |
| `bigquery-ai-ml` | adjacent | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-ai-ml) |
| `gke-observability` | adjacent | Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/gke-observability) |
| `google-analytics-admin-api-basics` | adjacent | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-admin-api-basics) |
| `agent-platform-alert-configuration` | adjacent | Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-alert-configuration) |
| `agent-platform-eval-flywheel` | adjacent | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-eval-flywheel) |
| `cloud-sql-basics` | adjacent | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/cloud-sql-basics) |
| `google-cloud-networking-observability` | adjacent | Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/google-cloud-networking-observability) |
| `bigtable-basics` | adjacent | Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigtable-basics) |
## 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 |
|---|---|---|---|
| `vss-generate-video-report` | core | Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-report) |
| `tao-train-reid` | adjacent | Person re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-reid) |
| `tao-train-metric-learning-recognition` | adjacent | Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-metric-learning-recognition) |
| `tao-train-depth-anything-v2` | adjacent | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-depth-anything-v2) |
| `deepstream-dev` | adjacent | NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/deepstream-dev) |
| `vss-manage-alerts` | adjacent | Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-manage-alerts) |
| `vss-query-analytics` | adjacent | Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-query-analytics) |
| `nemo-evaluator-plugin` | adjacent | Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-evaluator-plugin) |
| `vss-generate-video-calibration` | adjacent | Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-calibration) |
| `vss-setup-behavior-analytics` | adjacent | Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-behavior-analytics) |
| `vss-setup-video-analytics-api` | adjacent | Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-video-analytics-api) |
| `nv-reason-cxr` | adjacent | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nv-reason-cxr) |
## Source: phuryn/pm-skills
- Repository: [https://github.com/phuryn/pm-skills](https://github.com/phuryn/pm-skills) (commit `18468a9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ab-test-analysis` | core | Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/ab-test-analysis) |
| `cohort-analysis` | core | Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/cohort-analysis) |
| `gtm-strategy` | adjacent | Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-go-to-market/skills/gtm-strategy) |
| `lean-canvas` | adjacent | Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/lean-canvas) |
| `metrics-dashboard` | adjacent | Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-discovery/skills/metrics-dashboard) |
| `sql-queries` | adjacent | Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/sql-queries) |
| `dummy-dataset` | adjacent | Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-execution/skills/dummy-dataset) |
| `north-star-metric` | adjacent | Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-marketing-growth/skills/north-star-metric) |
| `product-strategy` | adjacent | Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/product-strategy) |

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# Market evidence report — rail-traffic-controller
Source: **9 real job ads** (JSearch API, countries: us 8, gb 1), extracted into the MSSQL evidence store; as of 2026-07-19.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 6 | 67 % |
| n/a | 3 | 33 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 3 | 33 % |
| 2 | emergency response | 3 | 33 % |
| 3 | rail transport operations | 3 | 33 % |
| 4 | train scheduling | 3 | 33 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | train movement coordination | 3 | 33 % |
## Regional breakdown
> **Corpus note:** 9 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
**Insufficient evidence** — 8 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 1 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 |
|---|---|
| Expression of Interest - Rail Traffic Controller | 1 |
| Rail Operations Controller | 1 |
| Rail Traffic Controller at Alstom Camden, NJ | 1 |
| Rail Traffic Controller Trainee (Transportation and Public Works) | 1 |
| Rail Traffic Controller/Dispatcher | 1 |
| Smart Rail Operations Coordinator | 1 |
| Smart Rail Traffic Controller: Data-Driven & Safe | 1 |
| Train Dispatcher | 1 |
| Train Dispatcher at Denver Transit Operators Denver, CO | 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 — rail traffic controller
- **ESCO URI:** http://data.europa.eu/esco/occupation/f643bff3-74ef-48d1-b033-820e2d8659e9
- **ESCO code:** 4323.13
- **ISCO-08 group:** 4323 — Transport clerks
- **O*NET-SOC:** 49-9097.00 — Signal and Track Switch Repairers (match: closeMatch)
## Description (ESCO)
Rail traffic controllers operate signals and points that help make sure trains run safely and on time. They operate from a signal box in order to control the order and movement of trains and ensure safety at all times. They are responsible for maintaining safety standards when trains are running normally and also in degraded or emergency operational situations.
## Definition
nan
## Alternative labels
- rail traffic signaller
- signal box operator
- signal box controller
- controller of rail traffic
- railway signal operator
- train controller

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# Competences — rail traffic controller
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/f643bff3-74ef-48d1-b033-820e2d8659e9).
## Essential
- **handle stressful situations in the work place** (skill/competence)
- **maintain computerised records of railway traffic** (skill/competence)
- **maintain railway signal equipment** (skill/competence)
- **manage train working timetable** (skill/competence)
- **mark differences in colours** (skill/competence)
- **mechanics of trains** (knowledge)
- **modern power signalling systems** (knowledge)
- **operate LED-based panel signal boxes** (skill/competence)
- **operate railway communication systems** (skill/competence)
- **operate train integrated electronic control centre** (skill/competence)
- **operate train signalling equipment** (skill/competence)
- **oversee operational safety on trains** (skill/competence)
- **oversee the daily train operations plan** (skill/competence)
- **process data from railway control rooms** (skill/competence)
- **provide information on train routes** (skill/competence)
- **react calmly in stressful situations** (skill/competence)
- **signal box parts** (knowledge)
- **signal boxes** (knowledge)
- **test railway signalling equipment** (skill/competence)
- **use different communication channels** (skill/competence)
- **write signalling reports** (skill/competence)
## Optional
- check for defects in railcars (skill/competence)
- determine train operational safety actions (skill/competence)
- monitor train schedules (skill/competence)
- train planning (knowledge)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 9 ads, as of 2026-07-19)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **33 %**
- emergency response — **33 %**
- rail transport operations — **33 %**
- train scheduling — **33 %**
- train coordination — **22 %**
- train dispatching — **22 %**
- verbal communication — **11 %**
- written communication — **11 %**
- safety system implementation — **11 %**
- schedule monitoring — **11 %**
- signal communication — **11 %**
- rail traffic dispatch — **11 %**
- technical problem solving — **11 %**
- railroad operations — **11 %**
- rail operations control — **11 %**
- record keeping — **11 %**
- record maintenance — **11 %**
- resolution of operational issues — **11 %**
- revenue service operation — **11 %**
- mass transportation operations — **11 %**
- operational issue identification — **11 %**
- performance monitoring — **11 %**
- problem solving — **11 %**
- problem-solving — **11 %**
- radio communication — **11 %**
- emergency response coordination — **11 %**
- failure management — **11 %**
- dispatching — **11 %**
- hazard identification — **11 %**
- incident management — **11 %**
- incident recording — **11 %**
- inspection management — **11 %**
- locomotive operation supervision — **11 %**
- decision making — **11 %**
- delay management — **11 %**
- assessment coordination — **11 %**
### Methods
- big data analytics — **11 %**
- computerized record keeping — **11 %**
- emergency operations center (eoc) — **11 %**
- national incident management system (nims) — **11 %**
- risk assessment — **11 %**
- roadway worker protection (rwp) — **11 %**
- rules-based dispatching — **11 %**
- safety regulation compliance — **11 %**
- virtual simulation — **11 %**
### Responsibilities
- train movement coordination — **33 %**
- record keeping — **22 %**
- rail service maintenance — **11 %**
- railroad record maintenance — **11 %**
- real-time digital monitoring — **11 %**
- safe rail service operation — **11 %**
- safety hazard reporting — **11 %**
- safety protocol maintenance — **11 %**
- new dispatcher training — **11 %**
- personnel supervision — **11 %**
- rail infrastructure monitoring — **11 %**
- rail operation supervision — **11 %**
- operational strategy development — **11 %**
- operator coverage arrangement — **11 %**
- passenger service evaluation — **11 %**
- efficient rail service operation — **11 %**
- emergency notification — **11 %**
- freight coordination — **11 %**
- lrv inspection — **11 %**
- incident response coordination — **11 %**
- information dissemination — **11 %**
- information gathering — **11 %**
- call fielding — **11 %**
- cane supply management — **11 %**
- cane train operation management — **11 %**
- cane train operation oversight — **11 %**
- delay resolution — **11 %**
- data entry — **11 %**
- data-driven decision making — **11 %**
- communication with train crews — **11 %**
- train movement direction — **11 %**
- train movement monitoring — **11 %**
- train operation supervision — **11 %**
- train schedule adjustment — **11 %**
- train schedule coordination — **11 %**
- track access coordination — **11 %**
- track inspection support — **11 %**
- traction power monitoring — **11 %**
- sugar cane supply management — **11 %**
- system performance maintenance — **11 %**
- team training — **11 %**
- signal control — **11 %**
- situational awareness — **11 %**
- training new controllers — **11 %**
<!-- market-evidence -->

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# Tasks & work activities — rail traffic controller
Source: O*NET 30.3, occupation 49-9097.00 (Signal and Track Switch Repairers).
## Task statements
- **[Core]** Install, inspect, maintain, and repair various railroad service equipment on the road or in the shop, including railroad signal systems.
- **[Core]** Inspect and test operation, mechanical parts, and circuitry of gate crossings, signals, and signal equipment such as interlocks and hotbox detectors.
- **[Core]** Inspect switch-controlling mechanisms on trolley wires and in track beds, using hand tools and test equipment.
- **[Core]** Drive motor vehicles to job sites.
- **[Core]** Tighten loose bolts, using wrenches, and test circuits and connections by opening and closing gates.
- **[Core]** Inspect electrical units of railroad grade crossing gates and repair loose bolts and defective electrical connections and parts.
- **[Core]** Replace defective wiring, broken lenses, or burned-out light bulbs.
- **[Core]** Record and report information about mileage or track inspected, repairs performed, and equipment requiring replacement.
- **[Core]** Inspect, maintain, and replace batteries as needed.
- **[Core]** Lubricate moving parts on gate-crossing mechanisms and swinging signals.
- **[Core]** Clean lenses of lamps with cloths and solvents.
- **[Core]** Test and repair track circuits.
## Detailed work activities
- Adjust the tension of nuts or bolts.
- Clean equipment, parts, or tools to repair or maintain them in good working order.
- Drive trucks or other vehicles to or at work sites.
- Inspect electrical or electronic systems for defects.
- Inspect equipment to locate or identify electrical problems.
- Inspect mechanical equipment to locate damage, defects, or wear.
- Lubricate equipment to allow proper functioning.
- Maintain work equipment or machinery.
- Record information about parts, materials or repair procedures.
- Repair electrical circuits or wiring.
- Repair worn, damaged, or defective mechanical parts.
- Replace worn, damaged, or defective mechanical parts.
- Test electrical circuits or components for proper functioning.
- Test mechanical equipment to ensure proper functioning.

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# Tools & technology — rail traffic controller
Source: O*NET 30.3 'Software Skills' for 49-9097.00.
| Software | Category | Hot technology |
|---|---|---|
| Microsoft Outlook | Electronic mail software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Word | Word processing software | yes |
| Maintenance management software | Facilities management software | |
| Supervisory control and data acquisition SCADA software | Industrial control software | |
| Web browser software | Internet browser software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 9 ads, as of 2026-07-19)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Train Management Dispatch System (TMDS) — **11 %**
- software — **11 %**
- TLF — **11 %**
- computer systems — **11 %**
- computer-generated displays — **11 %**
- digital twin technology — **11 %**
- cloud-based communication platforms — **11 %**
- CLRC — **11 %**
- Asset Works — **11 %**
- Automatic Train Operation (ATO) — **11 %**
- Automatic Train Protection (ATP) — **11 %**
- Automatic Train Supervision (ATS) systems — **11 %**
- automation tools — **11 %**
- Integrated Computer Systems (ICS) — **11 %**
- GPS tracking systems — **11 %**
- mobile apps — **11 %**
- MS Office Suite — **11 %**
- MS Office Suites — **11 %**
<!-- market-evidence -->