feat: ict-system-analyst skill package v0.1.0
This commit is contained in:
31
PROVENANCE.md
Normal file
31
PROVENANCE.md
Normal file
@@ -0,0 +1,31 @@
|
||||
# Data provenance — ict-system-analyst
|
||||
|
||||
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 — ict-system-analyst
|
||||
"ESCO (occupation & competences)" : 98
|
||||
"O*NET (tasks & tools)" : 99
|
||||
"Job boards (market evidence)" : 34
|
||||
"Anthropic official Claude skills" : 10
|
||||
"External AI skill packs (mapped)" : 99
|
||||
```
|
||||
|
||||
| Source | Items | Share | Files |
|
||||
|---|---|---|---|
|
||||
| ESCO (occupation & competences) | 98 | 28.8 % | references/profile.md, references/skills.md |
|
||||
| O*NET (tasks & tools) | 99 | 29.1 % | references/tasks.md, references/tools.md |
|
||||
| Job boards (market evidence) | 34 | 10.0 % | 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 | 10 | 2.9 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
|
||||
| External AI skill packs (mapped) | 99 | 29.1 % | 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).
|
||||
61
SKILL.md
Normal file
61
SKILL.md
Normal file
@@ -0,0 +1,61 @@
|
||||
---
|
||||
name: ict-system-analyst
|
||||
description: "Occupational skill for the role 'ICT system analyst' (also: ICT system analysts, ICT systems analysts, ICT systems analyst, system analyst, IT system analyst, network analyst). Use when the user asks for typical ICT system analyst work such as: Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts.; Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public.; Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques."
|
||||
---
|
||||
|
||||
# Ict System Analyst
|
||||
|
||||
ICT system analysts specify the system needs to meet the end user requirements. They analyse system functions in order to define their goals or purposes and to discover operations and procedures for accomplishing them most efficiently. They also design new IT solutions to improve business efficiency and productivity, produce outline designs and estimate costs of new systems, specify the operations the system will perform, and the way data will be viewed by the end user. They present the design to the users and work closely with the users to implement the solution.
|
||||
|
||||
## Core workflow
|
||||
|
||||
1. Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts.
|
||||
2. Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public.
|
||||
3. Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques.
|
||||
4. Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems.
|
||||
5. Develop, implement, or evaluate health information technology applications, tools, processes, or structures to assist nurses with data management.
|
||||
6. Analyze and interpret patient, nursing, or information systems data to improve nursing services.
|
||||
7. Analyze computer and information technologies to determine applicability to nursing practice, education, administration, and research.
|
||||
8. Apply knowledge of computer science, information science, nursing, and informatics theory to nursing practice, education, administration, or research, in collaboration with other health informatics specialists.
|
||||
|
||||
## 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 business processes
|
||||
- analyse ICT system
|
||||
- analyse software specifications
|
||||
- analyse the context of an organisation
|
||||
- apply statistical analysis techniques
|
||||
- attack vectors
|
||||
- create data models
|
||||
- decision support systems
|
||||
- define technical requirements
|
||||
- design information system
|
||||
- digital systems
|
||||
- execute feasibility study
|
||||
- ICT infrastructure
|
||||
- ICT performance analysis methods
|
||||
- identify customer requirements
|
||||
|
||||
## Hot technologies
|
||||
|
||||
- IBM SPSS Statistics
|
||||
- SAS
|
||||
- Microsoft Power BI
|
||||
- Tableau
|
||||
- Salesforce software
|
||||
- Apache Hadoop
|
||||
- Microsoft Access
|
||||
- Structured query language SQL
|
||||
- Microsoft SharePoint
|
||||
- Microsoft Outlook
|
||||
|
||||
---
|
||||
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/a6a0b60f-08da-4faa-bf54-942987efb471), O*NET 30.3 (15-1211.01). See manifest.json for licensing/attribution.*
|
||||
118
manifest.json
Normal file
118
manifest.json
Normal file
@@ -0,0 +1,118 @@
|
||||
{
|
||||
"name": "ict-system-analyst",
|
||||
"title": "ICT system analyst",
|
||||
"version": "0.1.0",
|
||||
"layer": "core",
|
||||
"language": "en",
|
||||
"generated": "2026-07-07",
|
||||
"ids": {
|
||||
"esco_uri": "http://data.europa.eu/esco/occupation/a6a0b60f-08da-4faa-bf54-942987efb471",
|
||||
"esco_code": "2511.13",
|
||||
"isco_group": "2511",
|
||||
"onet_soc": "15-1211.01",
|
||||
"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": 17,
|
||||
"dwas": 19,
|
||||
"skills_essential": 28,
|
||||
"skills_optional": 69,
|
||||
"software": 62
|
||||
},
|
||||
"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": 7
|
||||
},
|
||||
"obra/superpowers": {
|
||||
"repo": "https://github.com/obra/superpowers",
|
||||
"commit": "d884ae0",
|
||||
"license": "MIT (c) Jesse Vincent",
|
||||
"skills": 12
|
||||
},
|
||||
"wshobson/agents": {
|
||||
"repo": "https://github.com/wshobson/agents",
|
||||
"commit": "6fd3247",
|
||||
"license": "MIT (c) Seth Hobson",
|
||||
"skills": 12
|
||||
},
|
||||
"NVIDIA/skills": {
|
||||
"repo": "https://github.com/NVIDIA/skills",
|
||||
"commit": "153b14b",
|
||||
"license": "CC-BY-4.0 (skills/docs), Apache-2.0 (code)",
|
||||
"skills": 12
|
||||
},
|
||||
"veniceai/skills": {
|
||||
"repo": "https://github.com/veniceai/skills",
|
||||
"commit": "de089fa",
|
||||
"license": "MIT",
|
||||
"skills": 9
|
||||
},
|
||||
"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
|
||||
},
|
||||
"czlonkowski/n8n-skills": {
|
||||
"repo": "https://github.com/czlonkowski/n8n-skills",
|
||||
"commit": "9ea3aa5",
|
||||
"license": "MIT",
|
||||
"skills": 12
|
||||
}
|
||||
},
|
||||
"total_skills": 85,
|
||||
"tiers": {
|
||||
"core": 31,
|
||||
"adjacent": 54
|
||||
}
|
||||
},
|
||||
"provenance": {
|
||||
"items": {
|
||||
"esco": 98,
|
||||
"onet": 99,
|
||||
"jobads": 34,
|
||||
"wiki_ai": 0,
|
||||
"anthropic": 10,
|
||||
"ai_skills": 99,
|
||||
"stackx": 0
|
||||
},
|
||||
"share_percent": {
|
||||
"esco": 28.8,
|
||||
"onet": 29.1,
|
||||
"jobads": 10.0,
|
||||
"wiki_ai": 0.0,
|
||||
"anthropic": 2.9,
|
||||
"ai_skills": 29.1,
|
||||
"stackx": 0.0
|
||||
},
|
||||
"method": "content items per source category"
|
||||
},
|
||||
"collar": "white",
|
||||
"computer_work": true
|
||||
}
|
||||
167
references/ai-skills.md
Normal file
167
references/ai-skills.md
Normal file
@@ -0,0 +1,167 @@
|
||||
# External AI agent skills — ict-system-analyst
|
||||
|
||||
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 |
|
||||
|---|---|---|---|
|
||||
| `webapp-testing` | adjacent | Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. | [source](https://github.com/anthropics/skills/tree/main/skills/webapp-testing) |
|
||||
| `skill-creator` | adjacent | Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with … | [source](https://github.com/anthropics/skills/tree/main/skills/skill-creator) |
|
||||
| `mcp-builder` | adjacent | Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python … | [source](https://github.com/anthropics/skills/tree/main/skills/mcp-builder) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `claude-api` | adjacent | Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a … | [source](https://github.com/anthropics/skills/tree/main/skills/claude-api) |
|
||||
|
||||
## Source: obra/superpowers
|
||||
|
||||
- Repository: [https://github.com/obra/superpowers](https://github.com/obra/superpowers) (commit `d884ae0`, retrieved 2026-07-14)
|
||||
- License: MIT (c) Jesse Vincent
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `brainstorming` | adjacent | You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation. | [source](https://github.com/obra/superpowers/tree/main/skills/brainstorming) |
|
||||
| `requesting-code-review` | adjacent | Use when completing tasks, implementing major features, or before merging to verify work meets requirements | [source](https://github.com/obra/superpowers/tree/main/skills/requesting-code-review) |
|
||||
| `writing-plans` | adjacent | Use when you have a spec or requirements for a multi-step task, before touching code | [source](https://github.com/obra/superpowers/tree/main/skills/writing-plans) |
|
||||
| `test-driven-development` | adjacent | Use when implementing any feature or bugfix, before writing implementation code | [source](https://github.com/obra/superpowers/tree/main/skills/test-driven-development) |
|
||||
| `finishing-a-development-branch` | adjacent | Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup | [source](https://github.com/obra/superpowers/tree/main/skills/finishing-a-development-branch) |
|
||||
| `receiving-code-review` | adjacent | Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation | [source](https://github.com/obra/superpowers/tree/main/skills/receiving-code-review) |
|
||||
| `subagent-driven-development` | adjacent | Use when executing implementation plans with independent tasks in the current session | [source](https://github.com/obra/superpowers/tree/main/skills/subagent-driven-development) |
|
||||
| `executing-plans` | adjacent | Use when you have a written implementation plan to execute in a separate session with review checkpoints | [source](https://github.com/obra/superpowers/tree/main/skills/executing-plans) |
|
||||
| `using-git-worktrees` | adjacent | Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback | [source](https://github.com/obra/superpowers/tree/main/skills/using-git-worktrees) |
|
||||
| `dispatching-parallel-agents` | adjacent | Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies | [source](https://github.com/obra/superpowers/tree/main/skills/dispatching-parallel-agents) |
|
||||
| `systematic-debugging` | adjacent | Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes | [source](https://github.com/obra/superpowers/tree/main/skills/systematic-debugging) |
|
||||
| `verification-before-completion` | adjacent | Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always | [source](https://github.com/obra/superpowers/tree/main/skills/verification-before-completion) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `comprehensive-review-architect-review (agent)` | core | Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and … | [source](https://github.com/wshobson/agents/tree/main/plugins/comprehensive-review/agents/architect-review.md) |
|
||||
| `code-documentation-docs-architect (agent)` | core | Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. Use PROACTIVELY for system documentation, … | [source](https://github.com/wshobson/agents/tree/main/plugins/code-documentation/agents/docs-architect.md) |
|
||||
| `full-stack-orchestration-performance-engineer (agent)` | core | Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance … | [source](https://github.com/wshobson/agents/tree/main/plugins/full-stack-orchestration/agents/performance-engineer.md) |
|
||||
| `bats-testing-patterns` | core | Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities. | [source](https://github.com/wshobson/agents/tree/main/plugins/shell-scripting/skills/bats-testing-patterns) |
|
||||
| `c4-context (agent)` | core | Expert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies. Synthesizes container and component documentation with system … | [source](https://github.com/wshobson/agents/tree/main/plugins/c4-architecture/agents/c4-context.md) |
|
||||
| `dependency-upgrade` | core | Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries. | [source](https://github.com/wshobson/agents/tree/main/plugins/framework-migration/skills/dependency-upgrade) |
|
||||
| `code-documentation-code-reviewer (agent)` | core | Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with … | [source](https://github.com/wshobson/agents/tree/main/plugins/code-documentation/agents/code-reviewer.md) |
|
||||
| `dbt-transformation-patterns` | core | Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best … | [source](https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns) |
|
||||
| `sql-optimization-patterns` | core | Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application … | [source](https://github.com/wshobson/agents/tree/main/plugins/developer-essentials/skills/sql-optimization-patterns) |
|
||||
| `recsys-pipeline-architect` | core | Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced X For You algorithm. Use when building any system that picks … | [source](https://github.com/wshobson/agents/tree/main/plugins/machine-learning-ops/skills/recsys-pipeline-architect) |
|
||||
| `code-refactoring-code-reviewer (agent)` | core | Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with … | [source](https://github.com/wshobson/agents/tree/main/plugins/code-refactoring/agents/code-reviewer.md) |
|
||||
| `codebase-cleanup-code-reviewer (agent)` | core | Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with … | [source](https://github.com/wshobson/agents/tree/main/plugins/codebase-cleanup/agents/code-reviewer.md) |
|
||||
|
||||
## 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) |
|
||||
| `cloud-sql-basics` | core | 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) |
|
||||
| `bigquery-ai-ml` | core | 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) |
|
||||
| `google-analytics-data-api-basics` | core | 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) |
|
||||
| `bigtable-basics` | core | 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) |
|
||||
| `google-analytics-admin-api-basics` | core | 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) |
|
||||
| `datalineage-bigquery-asset-impact-analysis` | adjacent | 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) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `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-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) |
|
||||
|
||||
## Source: czlonkowski/n8n-skills
|
||||
|
||||
- Repository: [https://github.com/czlonkowski/n8n-skills](https://github.com/czlonkowski/n8n-skills) (commit `9ea3aa5`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `n8n-agents` | core | Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-agents) |
|
||||
| `n8n-self-hosting` | core | Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-self-hosting) |
|
||||
| `n8n-validation-expert` | core | Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-validation-expert) |
|
||||
| `using-n8n-mcp-skills` | adjacent | Use when building, editing, validating, testing, or debugging an n8n workflow through the n8n-mcp MCP server — designing a flow, configuring a node, writing an expression or Code node, wiring credentials, or fixing one that misbehaves. The … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/using-n8n-mcp-skills) |
|
||||
| `n8n-node-configuration` | adjacent | Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type. … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-node-configuration) |
|
||||
| `n8n-workflow-patterns` | adjacent | Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-workflow-patterns) |
|
||||
| `n8n-multi-instance` | adjacent | Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (prod vs staging, several teams or clients), a workflow / datatable / … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-multi-instance) |
|
||||
| `n8n-subworkflows` | adjacent | Build reusable, composable n8n sub-workflows. Use when extracting shared logic, building anything multi-step or reused across workflows, or any workflow over ~10 nodes — and whenever the user mentions sub-workflows, Execute Workflow, … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-subworkflows) |
|
||||
| `n8n-binary-and-data` | adjacent | Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-binary-and-data) |
|
||||
| `n8n-code-python` | adjacent | Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-python) |
|
||||
| `n8n-error-handling` | adjacent | Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-error-handling) |
|
||||
| `n8n-mcp-tools-expert` | adjacent | Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-mcp-tools-expert) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `tilegym-cutile-python` | core | Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tilegym-cutile-python) |
|
||||
| `jetson-diagnostic` | core | Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/jetson-diagnostic) |
|
||||
| `nemo-automodel-model-onboarding` | core | Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-automodel-model-onboarding) |
|
||||
| `amc-run-sample-calibration` | core | Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/amc-run-sample-calibration) |
|
||||
| `tao-finetune-huggingface-model` | core | Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-finetune-huggingface-model) |
|
||||
| `nv-segment-ct-finetune` | core | Used for smoke or dataset finetuning of NV-Segment-CT VISTA3D on CT NIfTI labels. Not for clinical validation. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nv-segment-ct-finetune) |
|
||||
| `hsb-app` | adjacent | Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/hsb-app) |
|
||||
| `tilegym-converting-cutile-to-julia` | adjacent | Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tilegym-converting-cutile-to-julia) |
|
||||
| `vss-generate-video-report` | adjacent | 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) |
|
||||
| `cupynumeric-install` | adjacent | Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cupynumeric-install) |
|
||||
| `nemo-rl-auto-research` | adjacent | Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-rl-auto-research) |
|
||||
| `nemo-mbridge-mlm-bridge-training` | adjacent | Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-mbridge-mlm-bridge-training) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `dummy-dataset` | core | 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) |
|
||||
| `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) |
|
||||
| `sql-queries` | core | 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) |
|
||||
| `cohort-analysis` | adjacent | 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) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
|
||||
## Source: veniceai/skills
|
||||
|
||||
- Repository: [https://github.com/veniceai/skills](https://github.com/veniceai/skills) (commit `de089fa`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `venice-api-overview` | core | High-level map of the Venice.ai API - base URL, authentication modes, endpoint categories, response headers, pricing model, error shape, and versioning. Load this first when starting any Venice integration. | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-api-overview) |
|
||||
| `venice-characters` | adjacent | Discover and use Venice public characters (persona-driven system prompts with a bound model). Covers GET /characters (search/filter/sort), /characters/{slug}, /characters/{slug}/reviews, the Character schema, and how to apply a character … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-characters) |
|
||||
| `venice-api-keys` | adjacent | Manage Venice API keys. Covers GET/POST/PATCH/DELETE /api_keys, GET /api_keys/{id}, GET /api_keys/rate_limits, GET /api_keys/rate_limits/log, the two-step /api_keys/generate_web3_key wallet flow, INFERENCE vs ADMIN key types, and per-key … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-api-keys) |
|
||||
| `venice-embeddings` | adjacent | Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practical usage for retrieval, clustering, and RAG. | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-embeddings) |
|
||||
| `venice-auth` | adjacent | Authenticate to the Venice API with a Bearer API key or with an x402 / SIWE wallet. Covers header formats, the SIWE message fields, TTL and nonce rules, the venice-x402-client SDK, and how to choose between the two modes. | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-auth) |
|
||||
| `venice-errors` | adjacent | Handle Venice API errors correctly. Covers the StandardError / DetailedError / ContentViolationError / X402InferencePaymentRequired body shapes, every meaningful status code (400, 401, 402, 403, 415, 422, 429, 500, 503, 504), the 402 … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-errors) |
|
||||
| `venice-image-edit` | adjacent | Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose 1-3 images), /image/upscale (2-4x upscale + enhance), and /image/background-remove. Accepts base64, file upload, … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-image-edit) |
|
||||
| `venice-image-generate` | adjacent | Generate images with Venice. Covers POST /image/generate (Venice-native), POST /images/generations (OpenAI-compatible), GET /image/styles (style presets), request fields (prompt, dimensions, cfg_scale, seed, variants, style_preset, … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-image-generate) |
|
||||
| `venice-responses` | adjacent | Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-responses) |
|
||||
67
references/market.md
Normal file
67
references/market.md
Normal file
@@ -0,0 +1,67 @@
|
||||
# Market evidence report — ict-system-analyst
|
||||
|
||||
Source: **10 real job ads** (JSearch API, countries: us 10), extracted into the MSSQL evidence store; as of 2026-07-12.
|
||||
This report contains extracted, aggregated facts only — no ad text is
|
||||
reproduced (copyright / platform terms).
|
||||
|
||||
## Seniority distribution
|
||||
|
||||
| Seniority | Ads | Share |
|
||||
|---|---|---|
|
||||
| mid | 7 | 70 % |
|
||||
| senior | 3 | 30 % |
|
||||
|
||||
## Tools — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Hard skills — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | process improvement | 3 | 30 % |
|
||||
|
||||
## Methods — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Responsibilities — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Regional breakdown
|
||||
|
||||
> **Corpus note:** 10 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** — 10 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
### UK (gb)
|
||||
|
||||
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
### EU/DACH (de, at, ch, nl)
|
||||
|
||||
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
|
||||
## Job title variants in the market
|
||||
|
||||
| Title | Ads |
|
||||
|---|---|
|
||||
| Business/Systems Analysts (It) - Randstad | 1 |
|
||||
| Computer Systems Analyst (Secret Clearance Required) | 1 |
|
||||
| ICT Analyst | 1 |
|
||||
| ICT Business Systems Analyst - Fleet | 1 |
|
||||
| ICT Systems Analyst - SAP SuccessFactors | 1 |
|
||||
| NATO DIGITAL BACKBONE SYSTEMS ANALYST (AKA COMMAND NETWORK SYSTEMS ANALYST) | 1 |
|
||||
| ORACLE GLOBAL DATA WAREHOUSE SYSTEMS ANALYST - HYBRID | 1 |
|
||||
| Senior Operational Business Systems Analyst | 1 |
|
||||
| Systems Analyst – End User Testing | 1 |
|
||||
| Systems Analyst Senior - Encounters Implementation Support | 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.
|
||||
25
references/profile.md
Normal file
25
references/profile.md
Normal file
@@ -0,0 +1,25 @@
|
||||
# Occupation profile — ICT system analyst
|
||||
|
||||
- **ESCO URI:** http://data.europa.eu/esco/occupation/a6a0b60f-08da-4faa-bf54-942987efb471
|
||||
- **ESCO code:** 2511.13
|
||||
- **ISCO-08 group:** 2511 — Systems analysts
|
||||
- **O*NET-SOC:** 15-1211.01 — Health Informatics Specialists (match: closeMatch)
|
||||
|
||||
## Description (ESCO)
|
||||
|
||||
ICT system analysts specify the system needs to meet the end user requirements. They analyse system functions in order to define their goals or purposes and to discover operations and procedures for accomplishing them most efficiently. They also design new IT solutions to improve business efficiency and productivity, produce outline designs and estimate costs of new systems, specify the operations the system will perform, and the way data will be viewed by the end user. They present the design to the users and work closely with the users to implement the solution.
|
||||
|
||||
## Definition
|
||||
|
||||
nan
|
||||
|
||||
## Alternative labels
|
||||
|
||||
- ICT system analysts
|
||||
- ICT systems analysts
|
||||
- ICT systems analyst
|
||||
- system analyst
|
||||
- IT system analyst
|
||||
- network analyst
|
||||
- systems analyst
|
||||
- IT systems analyst
|
||||
136
references/skills.md
Normal file
136
references/skills.md
Normal file
@@ -0,0 +1,136 @@
|
||||
# Competences — ICT system analyst
|
||||
|
||||
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/a6a0b60f-08da-4faa-bf54-942987efb471).
|
||||
|
||||
## Essential
|
||||
|
||||
- **analyse business processes** (skill/competence)
|
||||
- **analyse ICT system** (skill/competence)
|
||||
- **analyse software specifications** (skill/competence)
|
||||
- **analyse the context of an organisation** (skill/competence)
|
||||
- **apply statistical analysis techniques** (skill/competence)
|
||||
- **attack vectors** (knowledge)
|
||||
- **create data models** (skill/competence)
|
||||
- **decision support systems** (knowledge)
|
||||
- **define technical requirements** (skill/competence)
|
||||
- **design information system** (skill/competence)
|
||||
- **digital systems** (knowledge)
|
||||
- **execute feasibility study** (skill/competence)
|
||||
- **ICT infrastructure** (knowledge)
|
||||
- **ICT performance analysis methods** (knowledge)
|
||||
- **identify customer requirements** (skill/competence)
|
||||
- **identify ICT system weaknesses** (skill/competence)
|
||||
- **interact with users to gather requirements** (skill/competence)
|
||||
- **levels of software testing** (knowledge)
|
||||
- **manage ICT legacy implication** (skill/competence)
|
||||
- **manage system testing** (skill/competence)
|
||||
- **monitor system performance** (skill/competence)
|
||||
- **online analytical processing** (knowledge)
|
||||
- **perform ICT security testing** (skill/competence)
|
||||
- **software architecture models** (knowledge)
|
||||
- **software metrics** (knowledge)
|
||||
- **solve ICT system problems** (skill/competence)
|
||||
- **systems development life-cycle** (knowledge)
|
||||
- **use an application-specific interface** (skill/competence)
|
||||
|
||||
## Optional
|
||||
|
||||
- ABAP (knowledge)
|
||||
- AJAX (knowledge)
|
||||
- Apache Tomcat (knowledge)
|
||||
- APL (knowledge)
|
||||
- ASP.NET (knowledge)
|
||||
- Assembly (computer programming) (knowledge)
|
||||
- audit techniques (knowledge)
|
||||
- automate cloud tasks (skill/competence)
|
||||
- C# (knowledge)
|
||||
- C++ (knowledge)
|
||||
- COBOL (knowledge)
|
||||
- CoffeeScript (knowledge)
|
||||
- Common Lisp (knowledge)
|
||||
- computer programming (knowledge)
|
||||
- conduct quantitative research (skill/competence)
|
||||
- core banking software (knowledge)
|
||||
- data mining (knowledge)
|
||||
- distributed computing (knowledge)
|
||||
- Erlang (knowledge)
|
||||
- execute analytical mathematical calculations (skill/competence)
|
||||
- Groovy (knowledge)
|
||||
- hardware architectures (knowledge)
|
||||
- hardware platforms (knowledge)
|
||||
- Haskell (knowledge)
|
||||
- hybrid model (knowledge)
|
||||
- ICT process quality models (knowledge)
|
||||
- implement a firewall (skill/competence)
|
||||
- implement a virtual private network (skill/competence)
|
||||
- Java (computer programming) (knowledge)
|
||||
- JavaScript (knowledge)
|
||||
- LDAP (knowledge)
|
||||
- LINQ (knowledge)
|
||||
- Lisp (knowledge)
|
||||
- MATLAB (knowledge)
|
||||
- MDX (knowledge)
|
||||
- Microsoft Visual C++ (knowledge)
|
||||
- ML (computer programming) (knowledge)
|
||||
- N1QL (knowledge)
|
||||
- NoSQL (knowledge)
|
||||
- Objective-C (knowledge)
|
||||
- object-oriented modelling (knowledge)
|
||||
- Open source model (knowledge)
|
||||
- OpenEdge Advanced Business Language (knowledge)
|
||||
- Outsourcing model (knowledge)
|
||||
- Pascal (computer programming) (knowledge)
|
||||
- Perl (knowledge)
|
||||
- PHP (knowledge)
|
||||
- Prolog (computer programming) (knowledge)
|
||||
- provide ICT consulting advice (skill/competence)
|
||||
- Python (computer programming) (knowledge)
|
||||
- query languages (knowledge)
|
||||
- R (knowledge)
|
||||
- resource description framework query language (knowledge)
|
||||
- Ruby (computer programming) (knowledge)
|
||||
- SAP R3 (knowledge)
|
||||
- SAS language (knowledge)
|
||||
- Scala (knowledge)
|
||||
- Scratch (computer programming) (knowledge)
|
||||
- service-oriented modelling (knowledge)
|
||||
- Smalltalk (computer programming) (knowledge)
|
||||
- SPARQL (knowledge)
|
||||
- Swift (computer programming) (knowledge)
|
||||
- system design (knowledge)
|
||||
- TypeScript (knowledge)
|
||||
- unified modelling language (knowledge)
|
||||
- use query languages (skill/competence)
|
||||
- VBScript (knowledge)
|
||||
- Visual Basic (knowledge)
|
||||
- XQuery (knowledge)
|
||||
|
||||
<!-- market-evidence -->
|
||||
|
||||
## Market evidence (job-ad analysis, 10 ads, as of 2026-07-12)
|
||||
|
||||
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||
|
||||
### Hard skills
|
||||
|
||||
- process improvement — **30 %**
|
||||
- project management — **20 %**
|
||||
- requirements documentation — **20 %**
|
||||
- requirements gathering — **20 %**
|
||||
- business requirements gathering — **20 %**
|
||||
- stakeholder engagement — **20 %**
|
||||
- system analysis — **20 %**
|
||||
- system configuration — **20 %**
|
||||
- technical documentation — **20 %**
|
||||
|
||||
### Methods
|
||||
|
||||
- agile delivery — **20 %**
|
||||
|
||||
### Responsibilities
|
||||
|
||||
- documentation maintenance — **20 %**
|
||||
- stakeholder collaboration — **20 %**
|
||||
- requirement documentation — **20 %**
|
||||
|
||||
<!-- market-evidence -->
|
||||
45
references/tasks.md
Normal file
45
references/tasks.md
Normal file
@@ -0,0 +1,45 @@
|
||||
# Tasks & work activities — ICT system analyst
|
||||
|
||||
Source: O*NET 30.3, occupation 15-1211.01 (Health Informatics Specialists).
|
||||
|
||||
## Task statements
|
||||
|
||||
- **[Core]** Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts.
|
||||
- **[Core]** Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public.
|
||||
- **[Core]** Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques.
|
||||
- **[Core]** Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems.
|
||||
- **[Core]** Develop, implement, or evaluate health information technology applications, tools, processes, or structures to assist nurses with data management.
|
||||
- **[Core]** Analyze and interpret patient, nursing, or information systems data to improve nursing services.
|
||||
- **[Core]** Analyze computer and information technologies to determine applicability to nursing practice, education, administration, and research.
|
||||
- **[Core]** Apply knowledge of computer science, information science, nursing, and informatics theory to nursing practice, education, administration, or research, in collaboration with other health informatics specialists.
|
||||
- **[Core]** Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.
|
||||
- **[Core]** Design, conduct, or provide support to nursing informatics research.
|
||||
- **[Core]** Develop or deliver training programs for health information technology, creating operating manuals as needed.
|
||||
- **[Core]** Develop strategies, policies or procedures for introducing, evaluating, or modifying information technology applied to nursing practice, administration, education, or research.
|
||||
- **[Core]** Identify, collect, record, or analyze data relevant to the nursing care of patients.
|
||||
- **[Core]** Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in informatics.
|
||||
- **[Core]** Provide consultation to nurses regarding hardware or software configuration.
|
||||
- **[Core]** Inform local, state, national, and international health policies related to information management and communication, confidentiality and security, patient safety, infrastructure development, and economics.
|
||||
- **[Supplemental]** Plan, install, repair, or troubleshoot telehealth technology applications or systems in homes.
|
||||
|
||||
## Detailed work activities
|
||||
|
||||
- Analyze health-related data.
|
||||
- Apply information technology to solve business or other applied problems.
|
||||
- Communicate project information to others.
|
||||
- Conduct research to gain information about products or processes.
|
||||
- Design healthcare-related software applications.
|
||||
- Design research studies to obtain scientific information.
|
||||
- Develop computer or information security policies or procedures.
|
||||
- Develop guidelines for system implementation.
|
||||
- Document operational activities.
|
||||
- Evaluate utility of software or hardware technologies.
|
||||
- Implement security measures for computer or information systems.
|
||||
- Install computer software.
|
||||
- Provide recommendations to others about computer hardware.
|
||||
- Provide technical information or assistance to public.
|
||||
- Provide technical support for software maintenance or use.
|
||||
- Test computer system operations to ensure proper functioning.
|
||||
- Train others in computer interface or software use.
|
||||
- Troubleshoot issues with computer applications or systems.
|
||||
- Update knowledge about emerging industry or technology trends.
|
||||
81
references/tools.md
Normal file
81
references/tools.md
Normal file
@@ -0,0 +1,81 @@
|
||||
# Tools & technology — ICT system analyst
|
||||
|
||||
Source: O*NET 30.3 'Software Skills' for 15-1211.01.
|
||||
|
||||
| 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 |
|
||||
| Salesforce software | Customer relationship management CRM software | yes |
|
||||
| Apache Hadoop | Data base management system software | yes |
|
||||
| Microsoft Access | Data base user interface and query software | yes |
|
||||
| Structured query language SQL | Data base user interface and query software | yes |
|
||||
| Microsoft SharePoint | Document management software | yes |
|
||||
| Microsoft Outlook | Electronic mail software | yes |
|
||||
| ESRI ArcGIS software | Geographic information system | yes |
|
||||
| eClinicalWorks EHR software | Medical software | yes |
|
||||
| Epic Systems | Medical software | yes |
|
||||
| MEDITECH software | Medical software | yes |
|
||||
| Microsoft SQL Server Reporting Services SSRS | Object or component oriented development software | yes |
|
||||
| Perl | Object or component oriented development software | yes |
|
||||
| Python | Object or component oriented development software | yes |
|
||||
| R | Object or component oriented development software | yes |
|
||||
| Microsoft Office software | Office suite software | yes |
|
||||
| UNIX | Operating system software | yes |
|
||||
| Microsoft PowerPoint | Presentation software | yes |
|
||||
| Microsoft Visio | Process mapping and design software | yes |
|
||||
| Microsoft Project | Project management software | yes |
|
||||
| Microsoft Excel | Spreadsheet software | yes |
|
||||
| JavaScript | Web platform development software | yes |
|
||||
| Microsoft Word | Word processing software | yes |
|
||||
| Qlik software | Business intelligence and data analysis software | |
|
||||
| Qlik Tech QlikView | Business intelligence and data analysis software | |
|
||||
| McKesson ANSOS One-Staff | Calendar and scheduling software | |
|
||||
| Sparta Systems TrackWise | Compliance software | |
|
||||
| Learning management system LMS | Computer based training software | |
|
||||
| SAP BusinessObjects Crystal Reports | Data base reporting software | |
|
||||
| Software development tools | Development environment software | |
|
||||
| Web browser software | Internet browser software | |
|
||||
| Allscripts Professional EHR | Medical software | |
|
||||
| Allscripts Sunrise | Medical software | |
|
||||
| Amkai AmkaiCharts | Medical software | |
|
||||
| Bizmatics PrognoCIS EMR | Medical software | |
|
||||
| Cerner Millennium | Medical software | |
|
||||
| Cerner PowerChart | Medical software | |
|
||||
| ChartWare EMR | Medical software | |
|
||||
| Computerized physician order entry CPOE software | Medical software | |
|
||||
| Electronic medical administration record eMAR software | Medical software | |
|
||||
| e-MDs software | Medical software | |
|
||||
| GE Healthcare Centricity EMR | Medical software | |
|
||||
| Healthcare management system | Medical software | |
|
||||
| MEDITECH Healthcare Information System HCIS | Medical software | |
|
||||
| Mediware ClosedLoop Clinical Systems | Medical software | |
|
||||
| Mediware Information Systems MediCOE | Medical software | |
|
||||
| Medscribbler Enterprise | Medical software | |
|
||||
| MicroFour PracticeStudio.NET EMR | Medical software | |
|
||||
| Netsmart Technologies CareNet | Medical software | |
|
||||
| NextGen Healthcare Information Systems EMR | Medical software | |
|
||||
| Picis CareSuite | Medical software | |
|
||||
| Seimens Healthineers | Medical software | |
|
||||
| SOAPware EMR | Medical software | |
|
||||
| StatCom Patient Flow Logistics Enterprise Suite | Medical software | |
|
||||
| SynaMed EMR | Medical software | |
|
||||
| Texas Medical Software SpringCharts EMR | Medical software | |
|
||||
| VISICU eICU Program | Medical software | |
|
||||
| Computer aided software engineering CASE tools | Object or component oriented development software | |
|
||||
| LAMP Stack | Web platform development software | |
|
||||
|
||||
<!-- market-evidence -->
|
||||
|
||||
## Market evidence (job-ad analysis, 10 ads, as of 2026-07-12)
|
||||
|
||||
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||
|
||||
### Tools
|
||||
|
||||
- Microsoft Excel — **20 %**
|
||||
- Power BI — **20 %**
|
||||
|
||||
<!-- market-evidence -->
|
||||
Reference in New Issue
Block a user