From 2ae6e2483398a6e4accc43914d5a251ecbc476c6 Mon Sep 17 00:00:00 2001 From: skillfactor-pipeline Date: Fri, 14 Aug 2026 17:33:47 +0200 Subject: [PATCH] feat: knowledge-engineer skill package v0.1.0 --- PROVENANCE.md | 31 +++++ SKILL.md | 80 ++++++++++++ manifest.json | 202 +++++++++++++++++++++++++++++ references/ai-skills.md | 274 ++++++++++++++++++++++++++++++++++++++++ references/market.md | 162 ++++++++++++++++++++++++ references/profile.md | 22 ++++ references/skills.md | 119 +++++++++++++++++ references/tasks.md | 41 ++++++ references/tools.md | 105 +++++++++++++++ 9 files changed, 1036 insertions(+) create mode 100644 PROVENANCE.md create mode 100644 SKILL.md create mode 100644 manifest.json create mode 100644 references/ai-skills.md create mode 100644 references/market.md create mode 100644 references/profile.md create mode 100644 references/skills.md create mode 100644 references/tasks.md create mode 100644 references/tools.md diff --git a/PROVENANCE.md b/PROVENANCE.md new file mode 100644 index 0000000..e6186e2 --- /dev/null +++ b/PROVENANCE.md @@ -0,0 +1,31 @@ +# Data provenance — knowledge-engineer + +Where the content of this skill package comes from, counted by +content items (tasks, competences, tools, evidence entries, curated +knowledge). Rendered live by Gitea: + +```mermaid +%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%% +pie showData + title Content sources — knowledge-engineer + "ESCO (occupation & competences)" : 90 + "O*NET (tasks & tools)" : 120 + "Job boards (market evidence)" : 114 + "Anthropic official Claude skills" : 9 + "External AI skill packs (mapped)" : 137 +``` + +| Source | Items | Share | Files | +|---|---|---|---| +| ESCO (occupation & competences) | 90 | 19.1 % | references/profile.md, references/skills.md | +| O*NET (tasks & tools) | 120 | 25.5 % | references/tasks.md, references/tools.md | +| Job boards (market evidence) | 114 | 24.3 % | 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 | 9 | 1.9 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) | +| External AI skill packs (mapped) | 137 | 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). diff --git a/SKILL.md b/SKILL.md new file mode 100644 index 0000000..364be2b --- /dev/null +++ b/SKILL.md @@ -0,0 +1,80 @@ +--- +name: knowledge-engineer +description: "Occupational skill for the role 'knowledge engineer' (also: linked data engineer, taxonomist, knowledge officer, information engineer, knowledge engineers). Use when the user asks for typical knowledge engineer work such as: Analyze, manipulate, or process large sets of data using statistical software.; Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.; Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods." +--- + +# Knowledge Engineer + +Knowledge engineers integrate structured knowledge into computer systems (knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods. They are also responsible for eliciting or extracting knowledge from information sources, maintaining this knowledge, and making it available to the organisation or users. To achieve this, they are aware of knowledge representation and maintenance techniques (rules, frames, semantic nets, ontologies) and use knowledge extraction techniques and tools. They can design and build expert or artificial intelligence systems that use this knowledge. + +## Core workflow + +1. Analyze, manipulate, or process large sets of data using statistical software. +2. Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. +3. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods. +4. Clean and manipulate raw data using statistical software. +5. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. +6. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. +7. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. +8. Design surveys, opinion polls, or other instruments to collect data. + +## 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 requirements +- apply ICT systems theory +- assess ICT knowledge +- business intelligence +- business process modelling +- create semantic trees +- data engineering +- data science +- database development tools +- define technical requirements +- information extraction +- information structure +- manage business knowledge +- manage database +- manage ICT semantic integration + +## Hot technologies + +- IBM SPSS Statistics +- SAS +- TensorFlow +- The MathWorks MATLAB +- Docker +- GitHub +- Kubernetes +- Alteryx software +- Apache Spark +- Google Looker Analytics + + + + +## Hot technologies + +Top tools from 32 gated job ads (see references/market.md, as of 2026-07-14): + +- Google Sheets — 19 % +- ChatGPT — 16 % +- Claude — 16 % +- Gemini — 16 % +- SQL — 16 % +- Git — 12 % +- GPT-5 — 9 % +- Microsoft Excel — 9 % +- Slack — 9 % + + + +--- +*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/812c217d-32b7-4f6a-9faf-993d3577ac7f), O*NET 30.3 (15-2051.00). See manifest.json for licensing/attribution.* diff --git a/manifest.json b/manifest.json new file mode 100644 index 0000000..43503e6 --- /dev/null +++ b/manifest.json @@ -0,0 +1,202 @@ +{ + "name": "knowledge-engineer", + "title": "knowledge engineer", + "version": "0.1.0", + "layer": "core", + "language": "en", + "generated": "2026-07-07", + "ids": { + "esco_uri": "http://data.europa.eu/esco/occupation/812c217d-32b7-4f6a-9faf-993d3577ac7f", + "esco_code": "2529.9", + "isco_group": "2529", + "onet_soc": "15-2051.00", + "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": 16, + "dwas": 16, + "skills_essential": 25, + "skills_optional": 64, + "software": 87 + }, + "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": 6 + }, + "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": 5 + }, + "czlonkowski/n8n-skills": { + "repo": "https://github.com/czlonkowski/n8n-skills", + "commit": "9ea3aa5", + "license": "MIT", + "skills": 12 + }, + "ConardLi/garden-skills": { + "repo": "https://github.com/ConardLi/garden-skills", + "commit": "fbd6453", + "license": "MIT", + "skills": 1 + }, + "a5c-ai/babysitter": { + "repo": "https://github.com/a5c-ai/babysitter", + "commit": "44a5d58b", + "license": "MIT", + "skills": 3 + }, + "basicmachines-co/basic-memory": { + "repo": "https://github.com/basicmachines-co/basic-memory", + "commit": "53da71c", + "license": "custom (see upstream LICENSE)", + "skills": 1 + }, + "muratcankoylan/Agent-Skills-for-Context-Engineering": { + "repo": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering", + "commit": "c578e85", + "license": "MIT", + "skills": 1 + }, + "giuseppe-trisciuoglio/developer-kit": { + "repo": "https://github.com/giuseppe-trisciuoglio/developer-kit", + "commit": "306f428", + "license": "MIT", + "skills": 2 + }, + "brycewang-stanford/Auto-Empirical-Research-Skills": { + "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills", + "commit": "85bf545", + "license": "CC-BY-4.0", + "skills": 2 + }, + "ruvnet/claude-code-flow": { + "repo": "https://github.com/ruvnet/claude-code-flow", + "commit": "73914bd", + "license": "MIT", + "skills": 1 + }, + "ruvnet/ruflo": { + "repo": "https://github.com/ruvnet/ruflo", + "commit": "73914bd", + "license": "MIT", + "skills": 1 + }, + "dyoshikawa/rulesync": { + "repo": "https://github.com/dyoshikawa/rulesync", + "commit": "c61d846", + "license": "MIT", + "skills": 1 + }, + "alirezarezvani/claude-skills": { + "repo": "https://github.com/alirezarezvani/claude-skills", + "commit": "0241f43", + "license": "MIT", + "skills": 1 + }, + "mukul975/Anthropic-Cybersecurity-Skills": { + "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills", + "commit": "673da1f", + "license": "Apache-2.0", + "skills": 1 + }, + "davila7/claude-code-templates": { + "repo": "https://github.com/davila7/claude-code-templates", + "commit": "fa79251", + "license": "MIT", + "skills": 2 + }, + "Kaelio/ktx": { + "repo": "https://github.com/Kaelio/ktx", + "commit": "49a4ae6", + "license": "Apache-2.0", + "skills": 1 + }, + "jabrena/plinth": { + "repo": "https://github.com/jabrena/plinth", + "commit": "065eae8", + "license": "Apache-2.0", + "skills": 1 + }, + "K-Dense-AI/claude-scientific-skills": { + "repo": "https://github.com/K-Dense-AI/claude-scientific-skills", + "commit": "4d97e29", + "license": "MIT", + "skills": 1 + }, + "foryourhealth111-pixel/Vibe-Skills": { + "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills", + "commit": "34429a8", + "license": "Apache-2.0", + "skills": 1 + } + }, + "total_skills": 80, + "tiers": { + "core": 51, + "adjacent": 29 + } + }, + "provenance": { + "items": { + "esco": 90, + "onet": 120, + "jobads": 114, + "wiki_ai": 0, + "anthropic": 9, + "ai_skills": 137, + "stackx": 0 + }, + "share_percent": { + "esco": 19.1, + "onet": 25.5, + "jobads": 24.3, + "wiki_ai": 0.0, + "anthropic": 1.9, + "ai_skills": 29.1, + "stackx": 0.0 + }, + "method": "content items per source category" + }, + "collar": "white", + "computer_work": true +} \ No newline at end of file diff --git a/references/ai-skills.md b/references/ai-skills.md new file mode 100644 index 0000000..37a5769 --- /dev/null +++ b/references/ai-skills.md @@ -0,0 +1,274 @@ +# External AI agent skills — knowledge-engineer + +Proven, publicly available AI agent skills mapped to this occupation. +Nothing is copied from the sources: every entry is a name, a one-line +summary and a link to the upstream skill package. Each section names +its source repository, commit, license and retrieval date. + +**Tiers:** `core` = the skill directly exercises a top market hard +skill, tool or method (from gated job-ad evidence) or an essential +ESCO competence of this occupation; `adjacent` = +plausibly useful, secondary. Entries are capped at 12 per source +and 80 in total per occupation (core first, +strongest matches survive); everything beyond the caps is excluded +and logged in the pipeline audit trail, not in this package. + +_Matched deterministically (ISCO group + title/competence keywords, +tiered against market evidence + ESCO essentials) by +`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._ + +## Source: anthropics/skills + +- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14) +- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `mcp-builder` | core | 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) | +| `claude-api` | core | 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) | +| `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) | +| `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) | +| `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) | +| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) | + +## Source: 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 | +|---|---|---|---| +| `finishing-a-development-branch` | core | 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) | +| `using-git-worktrees` | core | 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) | +| `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) | +| `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) | +| `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) | +| `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) | +| `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) | +| `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) | +| `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) | +| `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) | +| `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 | +|---|---|---|---| +| `uv-package-manager` | core | Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/uv-package-manager) | +| `python-testing-patterns` | core | Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-testing-patterns) | +| `security-requirement-extraction` | core | Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases. | [source](https://github.com/wshobson/agents/tree/main/plugins/security-scanning/skills/security-requirement-extraction) | +| `python-project-structure` | core | Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-project-structure) | +| `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) | +| `async-python-patterns` | core | Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/async-python-patterns) | +| `codebase-cleanup-test-automator (agent)` | core | Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. Use PROACTIVELY for testing automation or quality … | [source](https://github.com/wshobson/agents/tree/main/plugins/codebase-cleanup/agents/test-automator.md) | +| `python-background-jobs` | core | Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-background-jobs) | +| `python-observability` | core | Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-observability) | +| `python-resource-management` | core | Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-resource-management) | +| `stride-analysis-patterns` | core | Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation. | [source](https://github.com/wshobson/agents/tree/main/plugins/security-scanning/skills/stride-analysis-patterns) | +| `binary-analysis-patterns` | core | Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries. | [source](https://github.com/wshobson/agents/tree/main/plugins/reverse-engineering/skills/binary-analysis-patterns) | + +## Source: ConardLi/garden-skills + +- Repository: [https://github.com/ConardLi/garden-skills](https://github.com/ConardLi/garden-skills) (commit `fbd6453`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `kb-retriever` | adjacent | 面向本地知识库目录的检索和问答助手。核心流程：(1)分层索引导航 (2)遇到PDF/Excel时必须先读取references学习处理方法 (3)处理文件后再检索。按文件类型组合使用 grep、Read、pdfplumber、pandas 进行渐进式检索，避免整文件加载。用户问题涉及"从知识库目录回答问题/检索信息/查资料"时使用。 | [source](https://github.com/ConardLi/garden-skills/tree/fbd6453/skills/kb-retriever) | + +## 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 | +|---|---|---|---| +| `growing-outside-in-systems` | core | Drive feature development using Outside-In TDD with Hexagonal Architecture. Design emerges through inline code, in-memory fakes, interface extraction, and deferred I/O. Use when building features, writing tests, or structuring backend … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/backend-development/skills/growing-outside-in-systems) | +| `cad-modeling` | core | Expert skill for parametric 3D CAD model development with design intent and configuration management | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/mechanical-engineering/skills/cad-modeling) | +| `atlas` | core | Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/plugins/atlas-unified/skills/atlas) | + +## 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 | +|---|---|---|---| +| `helm-chart-builder` | core | Helm chart development agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw — chart scaffolding, values design, template patterns, dependency management, security hardening, and chart testing. Use when: user wants to … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering/helm-chart-builder/skills/helm-chart-builder) | + +## Source: basicmachines-co/basic-memory + +- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14) +- License: custom (see upstream LICENSE) + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) | + +## Source: brycewang-stanford/Auto-Empirical-Research-Skills + +- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14) +- License: CC-BY-4.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `business-skills` | core | 5 business research skills. Trigger: business strategy, market analysis, competitive intelligence. Design: analytical frameworks and methods for management and innovation research. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/business) | +| `cs-skills` | core | 10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/cs) | + +## 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 | +|---|---|---|---| +| `moodle-external-api-development` | core | Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/moodle-external-api-development) | +| `ceo-advisor` | core | Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Includes strategy analyzer, financial scenario modeling, board governance frameworks, and investor relations playbooks. … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/business-marketing/ceo-advisor) | + +## Source: dyoshikawa/rulesync + +- Repository: [https://github.com/dyoshikawa/rulesync](https://github.com/dyoshikawa/rulesync) (commit `c61d846`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `git-worktree-runner` | core | Manages git worktrees using git-worktree-runner (gtr). Use when the user needs to create, list, remove, or navigate worktrees with `git gtr` commands, open editors or AI tools in worktrees, manage parallel development branches, or check … | [source](https://github.com/dyoshikawa/rulesync/tree/c61d846/.rulesync/skills/git-worktree-runner) | + +## 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 | +|---|---|---|---| +| `dnanexus-integration` | core | DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/dnanexus-integration) | + +## Source: giuseppe-trisciuoglio/developer-kit + +- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `qdrant` | core | Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-java/skills/qdrant) | +| `knowledge-graph` | core | Manage persistent Knowledge Graph for specifications. Provides read, query, update, and validation capabilities for codebase analysis caching. Use when: spec-to-tasks needs to cache/reuse codebase analysis, task-implementation needs to … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-specs/skills/knowledge-graph) | + +## Source: jabrena/plinth + +- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `705-technologies-nosql-mongodb` | core | Use when you need framework-agnostic MongoDB and non-relational database query guidance — document schema design, collection modeling, JSON Schema validation, indexes, aggregation pipelines, query performance, consistency trade-offs, … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/705-technologies-nosql-mongodb) | + +## 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 | +|---|---|---|---| +| `dnanexus-integration` | core | DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution. | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/dnanexus-integration) | + +## Source: Kaelio/ktx + +- Repository: [https://github.com/Kaelio/ktx](https://github.com/Kaelio/ktx) (commit `49a4ae6`, retrieved 2026-07-14) +- License: Apache-2.0 + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `wiki_capture` | core | ktx's knowledge base - wiki pages for durable, reusable business knowledge. Covers capture workflow for user preferences, metric definitions, organizational conventions, and cross-references between wiki pages and semantic-layer sources. … | [source](https://github.com/Kaelio/ktx/tree/49a4ae6/packages/cli/src/skills/wiki_capture) | + +## 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 | +|---|---|---|---| +| `modeling-threats-with-opencti` | core | Model threat actors, intrusion sets, campaigns, and TTPs as a STIX 2.1 knowledge graph in OpenCTI (Filigran) using the pycti Python client, connectors, and import workers for structured cyber threat intelligence. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/modeling-threats-with-opencti) | + +## Source: muratcankoylan/Agent-Skills-for-Context-Engineering + +- Repository: [https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering) (commit `c578e85`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `memory-systems` | core | This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route … | [source](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/c578e85/skills/memory-systems) | + +## Source: ruvnet/claude-code-flow + +- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `embeddings` | core | Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/embeddings) | + +## Source: ruvnet/ruflo + +- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14) +- License: MIT + +| Skill | Tier | What it adds | Upstream | +|---|---|---|---| +| `embeddings` | core | Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/embeddings) | + +## 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-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) | +| `n8n-code-python` | core | 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-code-tool` | core | Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-tool) | +| `n8n-agents` | adjacent | 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-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-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) | +| `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-javascript` | adjacent | Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-javascript) | +| `n8n-expression-syntax` | adjacent | Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-expression-syntax) | +| `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-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) | + +## 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 | +|---|---|---|---| +| `deepstream-dev` | core | 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) | +| `cupynumeric-install` | core | 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) | +| `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) | +| `cuopt-numerical-optimization-api` | core | LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface. | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/cuopt-numerical-optimization-api) | +| `cuopt-developer` | core | Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cuopt-developer) | +| `cuopt-install` | core | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cuopt-install) | +| `cuopt-routing-api-python` | core | Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cuopt-routing-api-python) | +| `cuopt-server-api-python` | core | cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cuopt-server-api-python) | +| `holoscan-install-debian` | core | Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/holoscan-install-debian) | +| `holoscan-install-wheel` | core | Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/holoscan-install-wheel) | +| `hsb-app` | core | 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` | core | 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) | + +## 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-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-api-overview` | adjacent | 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-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) | +| `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) | diff --git a/references/market.md b/references/market.md new file mode 100644 index 0000000..5d2096c --- /dev/null +++ b/references/market.md @@ -0,0 +1,162 @@ +# Market evidence report — knowledge-engineer + +Source: **32 real job ads** (JSearch API, countries: us 32), extracted into the MSSQL evidence store; as of 2026-07-14. +This report contains extracted, aggregated facts only — no ad text is +reproduced (copyright / platform terms). + +## Seniority distribution + +| Seniority | Ads | Share | +|---|---|---| +| mid | 20 | 62 % | +| senior | 7 | 22 % | +| junior | 3 | 9 % | +| lead | 2 | 6 % | + +## Tools — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| +| 1 | Google Sheets | 6 | 19 % | +| 2 | ChatGPT | 5 | 16 % | +| 3 | Claude | 5 | 16 % | +| 4 | Gemini | 5 | 16 % | +| 5 | SQL | 5 | 16 % | +| 6 | Git | 4 | 12 % | +| 7 | GPT-5 | 3 | 9 % | +| 8 | Microsoft Excel | 3 | 9 % | +| 9 | Slack | 3 | 9 % | + +## Hard skills — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| +| 1 | metadata management | 16 | 50 % | +| 2 | taxonomy development | 15 | 47 % | +| 3 | taxonomy design | 10 | 31 % | +| 4 | content classification | 6 | 19 % | +| 5 | data governance | 6 | 19 % | +| 6 | data labeling | 6 | 19 % | +| 7 | data modeling | 5 | 16 % | +| 8 | data validation | 5 | 16 % | +| 9 | information architecture | 5 | 16 % | +| 10 | pattern recognition | 5 | 16 % | +| 11 | autocategorization | 4 | 12 % | +| 12 | data analysis | 4 | 12 % | +| 13 | metadata design | 4 | 12 % | +| 14 | vocabulary development | 4 | 12 % | +| 15 | data annotation | 3 | 9 % | +| 16 | data cleanup | 3 | 9 % | +| 17 | knowledge management | 3 | 9 % | +| 18 | ontology engineering | 3 | 9 % | +| 19 | questionnaire design | 3 | 9 % | +| 20 | regulatory alignment | 3 | 9 % | +| 21 | requirements translation | 3 | 9 % | +| 22 | translation review | 3 | 9 % | + +## Methods — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| +| 1 | agile development | 4 | 12 % | +| 2 | ai-driven modeling | 3 | 9 % | +| 3 | structured onboarding | 3 | 9 % | + +## Responsibilities — full market ranking + +| # | Item | Ads | Share | +|---|---|---|---| +| 1 | taxonomy maintenance | 12 | 38 % | +| 2 | dataset review | 5 | 16 % | +| 3 | job title standardization | 5 | 16 % | +| 4 | metadata validation | 5 | 16 % | +| 5 | occupation mapping | 5 | 16 % | +| 6 | roadmap development | 4 | 12 % | +| 7 | stakeholder engagement | 4 | 12 % | +| 8 | annotation | 3 | 9 % | +| 9 | approval workflow management | 3 | 9 % | +| 10 | classification | 3 | 9 % | +| 11 | cross-functional collaboration | 3 | 9 % | +| 12 | data insight communication | 3 | 9 % | +| 13 | edge case tracking | 3 | 9 % | +| 14 | metric recommendation | 3 | 9 % | +| 15 | program communication | 3 | 9 % | +| 16 | questionnaire localization | 3 | 9 % | +| 17 | remediation process leadership | 3 | 9 % | +| 18 | stakeholder training | 3 | 9 % | +| 19 | translation model refinement | 3 | 9 % | + +## Regional breakdown + +> **Corpus note:** 32 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative. + +### US (us) + +32 ads. + +**Top hard skills:** + +- metadata management — 50 % (16 ads) +- taxonomy development — 47 % (15 ads) +- taxonomy design — 31 % (10 ads) +- content classification — 19 % (6 ads) +- data governance — 19 % (6 ads) +- data labeling — 19 % (6 ads) +- data modeling — 16 % (5 ads) +- data validation — 16 % (5 ads) +- information architecture — 16 % (5 ads) +- pattern recognition — 16 % (5 ads) + +**Top tools:** + +- Google Sheets — 19 % (6 ads) +- ChatGPT — 16 % (5 ads) +- Claude — 16 % (5 ads) +- Gemini — 16 % (5 ads) +- SQL — 16 % (5 ads) +- Git — 12 % (4 ads) +- GPT-5 — 9 % (3 ads) +- Microsoft Excel — 9 % (3 ads) +- Slack — 9 % (3 ads) +- Git Lab / GitHub — 6 % (2 ads) + +**Seniority:** mid 62 % · senior 22 % · junior 9 % · lead 6 % + +### 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 | +|---|---| +| Enterprise Taxonomist | 4 | +| Principal Taxonomist | 4 | +| Taxonomist | 3 | +| Content Manager / Taxonomist | 2 | +| [Remote] Taxonomist | 1 | +| Associate Data Taxonomist | 1 | +| Associate Data Taxonomist - 1056 | 1 | +| Data Taxonomist, Labor Market Intelligence | 1 | +| Director, Metadata & Taxonomy | 1 | +| Enterprise Information Architect (Taxonomist) [210152] | 1 | +| Enterprise Semantic Knowledge Engineer | 1 | +| Knowledge Engineer -Generative AI Platform and Cortex | 1 | +| Lead Life Sciences Knowledge Engineer | 1 | +| Remote Principal Taxonomist - Brazil Taxonomies & AI | 1 | +| Senior Taxonomist — Enterprise Data & AI Taxonomies | 1 | +| Taxonomist - Editorial/Descriptive Metadata | 1 | +| Taxonomist, Editorial Creative | 1 | +| Taxonomist: 26-01132 | 1 | +| Taxonomy Analyst (Dutch Speaker) ID76490 | 1 | +| Taxonomy Analyst (German Speaker) ID76265 | 1 | +| Taxonomy Analyst (Spanish Speaker) ID76264 | 1 | +| Taxonomy Analyst (Swedish fluency) ID76179 | 1 | +| Taxonomy Analyst ID76178 | 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. diff --git a/references/profile.md b/references/profile.md new file mode 100644 index 0000000..00ad50f --- /dev/null +++ b/references/profile.md @@ -0,0 +1,22 @@ +# Occupation profile — knowledge engineer + +- **ESCO URI:** http://data.europa.eu/esco/occupation/812c217d-32b7-4f6a-9faf-993d3577ac7f +- **ESCO code:** 2529.9 +- **ISCO-08 group:** 2529 — Database and network professionals not elsewhere classified +- **O*NET-SOC:** 15-2051.00 — Data Scientists (match: closeMatch) + +## Description (ESCO) + +Knowledge engineers integrate structured knowledge into computer systems (knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods. They are also responsible for eliciting or extracting knowledge from information sources, maintaining this knowledge, and making it available to the organisation or users. To achieve this, they are aware of knowledge representation and maintenance techniques (rules, frames, semantic nets, ontologies) and use knowledge extraction techniques and tools. They can design and build expert or artificial intelligence systems that use this knowledge. + +## Definition + +nan + +## Alternative labels + +- linked data engineer +- taxonomist +- knowledge officer +- information engineer +- knowledge engineers diff --git a/references/skills.md b/references/skills.md new file mode 100644 index 0000000..2a399cf --- /dev/null +++ b/references/skills.md @@ -0,0 +1,119 @@ +# Competences — knowledge engineer + +Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/812c217d-32b7-4f6a-9faf-993d3577ac7f). + +## Essential + +- **analyse business requirements** (skill/competence) +- **apply ICT systems theory** (skill/competence) +- **assess ICT knowledge** (skill/competence) +- **business intelligence** (knowledge) +- **business process modelling** (knowledge) +- **create semantic trees** (skill/competence) +- **data engineering** (knowledge) +- **data science** (knowledge) +- **database development tools** (knowledge) +- **define technical requirements** (skill/competence) +- **information extraction** (knowledge) +- **information structure** (knowledge) +- **manage business knowledge** (skill/competence) +- **manage database** (skill/competence) +- **manage ICT semantic integration** (skill/competence) +- **natural language processing** (knowledge) +- **principles of artificial intelligence** (knowledge) +- **resource description framework query language** (knowledge) +- **systems development life-cycle** (knowledge) +- **systems theory** (knowledge) +- **task algorithmisation** (knowledge) +- **use an application-specific interface** (skill/competence) +- **use databases** (skill/competence) +- **use markup languages** (skill/competence) +- **web programming** (knowledge) + +## Optional + +- ABAP (knowledge) +- AJAX (knowledge) +- APL (knowledge) +- ASP.NET (knowledge) +- Assembly (computer programming) (knowledge) +- build business relationships (skill/competence) +- C# (knowledge) +- C++ (knowledge) +- cloud technologies (knowledge) +- COBOL (knowledge) +- CoffeeScript (knowledge) +- cognitive psychology (knowledge) +- Common Lisp (knowledge) +- computer programming (knowledge) +- create database diagrams (skill/competence) +- data mining (knowledge) +- decision support systems (knowledge) +- define database physical structure (skill/competence) +- design application interfaces (skill/competence) +- design database scheme (skill/competence) +- Erlang (knowledge) +- Groovy (knowledge) +- Haskell (knowledge) +- ICT project management (knowledge) +- ICT security legislation (knowledge) +- implement a virtual private network (skill/competence) +- information architecture (knowledge) +- information categorisation (knowledge) +- Java (computer programming) (knowledge) +- JavaScript (knowledge) +- LINQ (knowledge) +- Lisp (knowledge) +- manage cloud data and storage (skill/competence) +- manage digital documents (skill/competence) +- MATLAB (knowledge) +- Microsoft Visual C++ (knowledge) +- ML (computer programming) (knowledge) +- N1QL (knowledge) +- Objective-C (knowledge) +- OpenEdge Advanced Business Language (knowledge) +- Pascal (computer programming) (knowledge) +- Perl (knowledge) +- PHP (knowledge) +- Prolog (computer programming) (knowledge) +- Python (computer programming) (knowledge) +- R (knowledge) +- Ruby (computer programming) (knowledge) +- SAP R3 (knowledge) +- SAS language (knowledge) +- Scala (knowledge) +- Scratch (computer programming) (knowledge) +- Smalltalk (computer programming) (knowledge) +- SPARQL (knowledge) +- store digital data and systems (skill/competence) +- Swift (computer programming) (knowledge) +- TypeScript (knowledge) +- unstructured data (knowledge) +- use back-up and recovery tools (skill/competence) +- use query languages (skill/competence) +- use spreadsheets software (skill/competence) +- utilise decision support system (skill/competence) +- VBScript (knowledge) +- Visual Basic (knowledge) +- visual presentation techniques (knowledge) + + + +## Market evidence (job-ad analysis, 32 ads, as of 2026-07-14) + +Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs. + +### Hard skills + +- metadata management — **50 %** +- taxonomy development — **47 %** +- taxonomy design — **31 %** +- content classification — **19 %** +- data governance — **19 %** +- data labeling — **19 %** + +### Responsibilities + +- taxonomy maintenance — **38 %** + + diff --git a/references/tasks.md b/references/tasks.md new file mode 100644 index 0000000..5f44bd1 --- /dev/null +++ b/references/tasks.md @@ -0,0 +1,41 @@ +# Tasks & work activities — knowledge engineer + +Source: O*NET 30.3, occupation 15-2051.00 (Data Scientists). + +## Task statements + +- **[nan]** Analyze, manipulate, or process large sets of data using statistical software. +- **[nan]** Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. +- **[nan]** Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods. +- **[nan]** Clean and manipulate raw data using statistical software. +- **[nan]** Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. +- **[nan]** Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. +- **[nan]** Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. +- **[nan]** Design surveys, opinion polls, or other instruments to collect data. +- **[nan]** Identify business problems or management objectives that can be addressed through data analysis. +- **[nan]** Identify relationships and trends or any factors that could affect the results of research. +- **[nan]** Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. +- **[nan]** Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. +- **[nan]** Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies. +- **[nan]** Recommend data-driven solutions to key stakeholders. +- **[nan]** Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. +- **[nan]** Write new functions or applications in programming languages to conduct analyses. + +## Detailed work activities + +- Advise others on analytical techniques. +- Analyze business or financial data. +- Analyze data to identify or resolve operational problems. +- Analyze data to identify trends or relationships among variables. +- Analyze data to inform operational decisions or activities. +- Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields. +- Determine appropriate methods for data analysis. +- Develop procedures to evaluate organizational activities. +- Develop scientific or mathematical models. +- Prepare analytical reports. +- Prepare data for analysis. +- Prepare graphics or other visual representations of information. +- Present research results to others. +- Select resources needed to accomplish tasks. +- Update technical knowledge. +- Write computer programming code. diff --git a/references/tools.md b/references/tools.md new file mode 100644 index 0000000..9dac627 --- /dev/null +++ b/references/tools.md @@ -0,0 +1,105 @@ +# Tools & technology — knowledge engineer + +Source: O*NET 30.3 'Software Skills' for 15-2051.00. + +| Software | Category | Hot technology | +|---|---|---| +| IBM SPSS Statistics | Analytical or scientific software | yes | +| SAS | Analytical or scientific software | yes | +| TensorFlow | Analytical or scientific software | yes | +| The MathWorks MATLAB | Analytical or scientific software | yes | +| Docker | Application server software | yes | +| GitHub | Application server software | yes | +| Kubernetes | Application server software | yes | +| Alteryx software | Business intelligence and data analysis software | yes | +| Apache Spark | Business intelligence and data analysis software | yes | +| Google Looker Analytics | Business intelligence and data analysis software | yes | +| Microsoft Power BI | Business intelligence and data analysis software | yes | +| Tableau | Business intelligence and data analysis software | yes | +| Atlassian JIRA | Content workflow software | yes | +| Apache Cassandra | Data base management system software | yes | +| Apache Hadoop | Data base management system software | yes | +| Apache Hive | Data base management system software | yes | +| Elasticsearch | Data base management system software | yes | +| MongoDB | Data base management system software | yes | +| NoSQL | Data base management system software | yes | +| Teradata Database | Data base management system software | yes | +| Amazon Elastic Compute Cloud EC2 | Data base user interface and query software | yes | +| Amazon Redshift | Data base user interface and query software | yes | +| Amazon Web Services AWS software | Data base user interface and query software | yes | +| Microsoft Access | Data base user interface and query software | yes | +| Microsoft SQL Server | Data base user interface and query software | yes | +| PyTorch | Data base user interface and query software | yes | +| Structured query language SQL | Data base user interface and query software | yes | +| Snowflake | Data mining software | yes | +| Apache Kafka | Development environment software | yes | +| C | Development environment software | yes | +| Go | Development environment software | yes | +| Microsoft Azure software | Development environment software | yes | +| Ruby | Development environment software | yes | +| Jenkins CI | Enterprise application integration software | yes | +| Splunk Enterprise | Enterprise system management software | yes | +| Git | File versioning software | yes | +| C# | Object or component oriented development software | yes | +| C++ | Object or component oriented development software | yes | +| Oracle Java | Object or component oriented development software | yes | +| Perl | Object or component oriented development software | yes | +| Python | Object or component oriented development software | yes | +| R | Object or component oriented development software | yes | +| Scala | Object or component oriented development software | yes | +| PostgreSQL | Object oriented data base management software | yes | +| Microsoft Office software | Office suite software | yes | +| Bash | Operating system software | yes | +| Linux | Operating system software | yes | +| Shell script | Operating system software | yes | +| UNIX | Operating system software | yes | +| Microsoft PowerPoint | Presentation software | yes | +| Apache Airflow | Procedure management software | yes | +| Atlassian Confluence | Project management software | yes | +| Microsoft Excel | Spreadsheet software | yes | +| JavaScript | Web platform development software | yes | +| JavaScript Object Notation JSON | Web platform development software | yes | +| Kubeflow | Analytical or scientific software | | +| Mathematical software | Analytical or scientific software | | +| Mlflow | Analytical or scientific software | | +| StataCorp Stata | Analytical or scientific software | | +| Statistical software | Analytical or scientific software | | +| Business intelligence software | Business intelligence and data analysis software | | +| MapReduce big data software | Business intelligence and data analysis software | | +| Qlik Tech QlikView | Business intelligence and data analysis software | | +| Amazon Web Services AWS SageMaker | Cloud-based management software | | +| Google Cloud software | Cloud-based management software | | +| Apache Pig | Data base management system software | | +| Reporting software | Data base reporting software | | +| BigQuery | Data base user interface and query software | | +| Neo4j | Data base user interface and query software | | +| NumPy | Data base user interface and query software | | +| pandas | Data base user interface and query software | | +| PySpark | Data base user interface and query software | | +| Flask | Development environment software | | +| Julia | Development environment software | | +| OpenAI ChatGPT | Development environment software | | +| Scikit-learn | Development environment software | | +| XGBoost | Development environment software | | +| Management information systems MIS | Enterprise resource planning ERP software | | +| Geographic information system GIS systems | Geographic information system | | +| Apache MXNet | Industrial control software | | +| Jupyter software | Object or component oriented development software | | +| SciPy | Object or component oriented development software | | +| Shiny | Object or component oriented development software | | +| spaCy | Object or component oriented development software | | +| Keras | Operating system software | | +| Amazon Simple Storage Service S3 | Storage networking software | | +| RESTful API | Web platform development software | | + + + +## Market evidence (job-ad analysis, 32 ads, as of 2026-07-14) + +Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs. + +### Tools + +- Google Sheets — **19 %** + +