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feat: paper-engineer skill package v0.1.0

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# Data provenance — paper-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 — paper-engineer
"ESCO (occupation & competences)" : 32
"O*NET (tasks & tools)" : 67
"Job boards (market evidence)" : 50
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 162
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 32 | 10.1 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 67 | 21.2 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 50 | 15.8 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.6 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 162 | 51.3 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: paper-engineer
description: "Occupational skill for the role 'paper engineer' (also: process engineer, materials engineer, mechanical engineer, pulp and paper engineer, paper mill process engineer, paper machine superintendant). Use when the user asks for typical paper engineer work such as: typical paper engineer responsibilities"
---
# Paper Engineer
Paper engineers ensure an optimal production process in the manufacture of paper and related products. They select primary and secondary raw materials and check their quality. In addition, they optimize machinery and equipment usage as well as the chemical additives for paper making.
## Core workflow
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- check paper quality
- check quality of raw materials
- engineering principles
- engineering processes
- ensure compliance with safety legislation
- manufacturing processes
- monitor production developments
- monitor pulp quality
- optimise production
- paper chemistry
- paper production processes
- perform scientific research
- plan engineering activities
- quality standards
- sizes of paper
## Hot technologies
- Hypertext markup language HTML
- IBM SPSS Statistics
- Microsoft Excel
- Microsoft Office software
- Microsoft PowerPoint
- Microsoft Word
- Python
- R
- The MathWorks MATLAB
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/c44c078d-85e4-40a3-9598-2c333d7a24ca), O*NET 30.3 (19-2032.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "paper-engineer",
"title": "paper engineer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/c44c078d-85e4-40a3-9598-2c333d7a24ca",
"esco_code": "2145.1.8",
"isco_group": "2145",
"onet_soc": "19-2032.00",
"crosswalk_match": "manual nearest via ISCO 2145 (Materials Scientists)"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 0,
"dwas": 0,
"skills_essential": 18,
"skills_optional": 13,
"software": 0
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 2
},
"bitwize-music-studio/claude-ai-music-skills": {
"repo": "https://github.com/bitwize-music-studio/claude-ai-music-skills",
"commit": "96446de",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"OpenRaiser/NanoResearch": {
"repo": "https://github.com/OpenRaiser/NanoResearch",
"commit": "7144364",
"license": "MIT",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 7
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 7
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 12
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 7
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 10
},
"Ar9av/PaperOrchestra": {
"repo": "https://github.com/Ar9av/PaperOrchestra",
"commit": "07b981f",
"license": "MIT",
"skills": 2
},
"wanshuiyin/Auto-claude-code-research-in-sleep": {
"repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"commit": "eb5c9d7",
"license": "MIT",
"skills": 3
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 4
},
"AgriciDaniel/claude-seo": {
"repo": "https://github.com/AgriciDaniel/claude-seo",
"commit": "6cf1ea9",
"license": "MIT",
"skills": 2
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 2
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 5
},
"wanshuiyin/Anti-Autoresearch": {
"repo": "https://github.com/wanshuiyin/Anti-Autoresearch",
"commit": "c7f7f0d",
"license": "MIT",
"skills": 1
},
"anbeime/skill": {
"repo": "https://github.com/anbeime/skill",
"commit": "ddad607",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"NeoLabHQ/context-engineering-kit": {
"repo": "https://github.com/NeoLabHQ/context-engineering-kit",
"commit": "e61511b",
"license": "GPL",
"skills": 1
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"fcakyon/claude-codex-settings": {
"repo": "https://github.com/fcakyon/claude-codex-settings",
"commit": "44b7c00",
"license": "Apache-2.0",
"skills": 1
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 1
},
"code-yeongyu/oh-my-openagent": {
"repo": "https://github.com/code-yeongyu/oh-my-openagent",
"commit": "b19f652",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 1
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 32,
"onet": 67,
"jobads": 50,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 162,
"stackx": 0
},
"share_percent": {
"esco": 10.1,
"onet": 21.2,
"jobads": 15.8,
"wiki_ai": 0.0,
"anthropic": 1.6,
"ai_skills": 51.3,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — paper-engineer
Proven, publicly available AI agent skills mapped to this occupation.
Nothing is copied from the sources: every entry is a name, a one-line
summary and a link to the upstream skill package. Each section names
its source repository, commit, license and retrieval date.
**Tiers:** `core` = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; `adjacent` =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
## Source: anthropics/skills
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
## Source: 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 |
|---|---|---|---|
| `iso14971-risk-analyzer` | core | Comprehensive risk management skill implementing ISO 14971:2019 methodology for medical device risk analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/biomedical-engineering/skills/iso14971-risk-analyzer) |
## Source: AgriciDaniel/claude-blog
- Repository: [https://github.com/AgriciDaniel/claude-blog](https://github.com/AgriciDaniel/claude-blog) (commit `49842ea`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-analyze` | core | Audit and score blog posts on a 5-category 100-point scoring system covering content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. Includes AI content detection (burstiness, phrase flagging, … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-analyze) |
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-audit) |
## Source: AgriciDaniel/claude-seo
- Repository: [https://github.com/AgriciDaniel/claude-seo](https://github.com/AgriciDaniel/claude-seo) (commit `6cf1ea9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `seo-content` | core | Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit". | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-content) |
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-local) |
## Source: anbeime/skill
- Repository: [https://github.com/anbeime/skill](https://github.com/anbeime/skill) (commit `ddad607`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `paper-analysis-assistant` | core | 根据arXiv论文网址自动下载PDF并进行多维度分析，包括文本提取、词频分析、语音播报、播客对话生成、交互式网页、PPT、总结图和引用分析 | [source](https://github.com/anbeime/skill/tree/ddad607/skills/paper-analysis-assistant/paper-analysis-assistant) |
## Source: Ar9av/PaperOrchestra
- Repository: [https://github.com/Ar9av/PaperOrchestra](https://github.com/Ar9av/PaperOrchestra) (commit `07b981f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `paper-autoraters` | core | Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality … | [source](https://github.com/Ar9av/PaperOrchestra/tree/07b981f/skills/paper-autoraters) |
| `paper-writing-bench` | core | Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure … | [source](https://github.com/Ar9av/PaperOrchestra/tree/07b981f/skills/paper-writing-bench) |
## Source: bitwize-music-studio/claude-ai-music-skills
- Repository: [https://github.com/bitwize-music-studio/claude-ai-music-skills](https://github.com/bitwize-music-studio/claude-ai-music-skills) (commit `96446de`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `researchers-verifier` | core | Performs quality control, citation validation, and fact-checking before human review. Use after research is complete to verify all sources and claims before production. | [source](https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/96446de/skills/researchers-verifier) |
## 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 |
|---|---|---|---|
| `review` | core | All quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/review) |
| `academic-paper` | core | Academic paper writing skill with 12-agent pipeline. v2.5: Style Calibration (learn author's writing voice from past papers) + Writing Quality Check (writing quality checklist for natural prose). Supports IMRaD, literature review, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/24-Imbad0202-academic-research-skills/academic-paper) |
| `paper-review-skills` | core | 8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/paper-review) |
| `academic-baseline` | core | Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/academic-baseline) |
| `new-project` | core | Full research pipeline from idea to paper. Orchestrates all phases — discovery, strategy, analysis, writing, peer review, and submission. Use when starting a new research project from scratch. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/new-project) |
| `paper-figure` | core | Generate publication-quality figures and tables from experiment results. Use when user says \"画图\", \"作图\", \"generate figures\", \"paper figures\", or needs plots for a paper. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/42-wanshuiyin-ARIS/skills/paper-figure) |
| `ai-ml-skills` | core | 27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/ai-ml) |
| `deep-research` | core | Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/24-Imbad0202-academic-research-skills/deep-research) |
| `review-response` | core | Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/review-response) |
| `academic-paper-search` | core | This skill should be used when the user asks to "search for academic papers", "find working papers on SSRN", "look up a DOI", "download paper PDF", "check open access availability", "search NBER papers", "find arXiv preprints", or "search … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/68-research-productivity-skills/academic-paper-search) |
| `game-theory-paper-writer` | core | Generate, continue, revise, polish, and stress-test game theory research papers. Use when the user provides a game theory topic, phenomenon, draft, outline, model idea, literature anchor, reviewer comments, or asks for 博弈论论文生成, 选题建模, 文献迁移, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/65-game-theory-paper-writer) |
| `reference-verify` | core | Verify references in an academic paper: check whether each BibTeX entry is real, whether in-text citations match the cited paper's actual content, and produce a structured verification report. Use when user says \"验证参考文献\", \"ref verify\", … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/67-econfin-workflow-toolkit/reference-verify) |
## Source: code-yeongyu/oh-my-openagent
- Repository: [https://github.com/code-yeongyu/oh-my-openagent](https://github.com/code-yeongyu/oh-my-openagent) (commit `b19f652`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `debugging` | core | MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: … | [source](https://github.com/code-yeongyu/oh-my-openagent/tree/b19f652/packages/shared-skills/skills/debugging) |
## 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 |
|---|---|---|---|
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/simpy) |
| `scientific-critical-thinking` | core | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/exploratory-data-analysis) |
| `cobrapy` | core | Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cobrapy) |
| `matchms` | core | Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/matchms) |
| `neuropixels-analysis` | core | Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/neuropixels-analysis) |
| `bioservices` | core | Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/bioservices) |
| `code-review-excellence` | core | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) |
| `scientific-writing` | core | Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-writing) |
| `denario` | core | Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/denario) |
## Source: dotnet/skills
- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `exp-mock-usage-analysis` | core | Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks. Use when the user asks to audit mock usage, find unused or unnecessary mock … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-experimental/skills/exp-mock-usage-analysis) |
## Source: fcakyon/claude-codex-settings
- Repository: [https://github.com/fcakyon/claude-codex-settings](https://github.com/fcakyon/claude-codex-settings) (commit `44b7c00`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `paper-search-usage` | core | This skill should be used when user asks to "search for papers", "find research papers", "search arXiv", "search PubMed", "find academic papers", "search IEEE", "search Scopus", or "look up scientific literature". | [source](https://github.com/fcakyon/claude-codex-settings/tree/44b7c00/plugins/paper-search-tools/skills/paper-search-usage) |
## 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 |
|---|---|---|---|
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scholar-evaluation) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/exploratory-data-analysis) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
| `designing-experiments` | core | Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/designing-experiments) |
| `scientific-brainstorming` | core | Open-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-brainstorming) |
| `slides-as-code` | core | Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/slides-as-code) |
| `denario` | core | Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/denario) |
## 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 |
|---|---|---|---|
| `memory-md-management` | core | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
## Source: hypnguyen1209/offensive-claude
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `malware-analysis` | core | Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing) | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/malware-analysis) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `seo-content` | core | Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit". | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-content) |
| `blog-analyze` | core | Audit and score blog posts on a 5-category 100-point scoring system covering content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. Includes AI content detection (burstiness, phrase flagging, … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-analyze) |
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-local) |
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-audit) |
## Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `twinmind-observability` | core | Monitor TwinMind transcription quality, meeting coverage, action item extraction rates, and memory vault health. Use when implementing observability, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-observability) |
## 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 |
|---|---|---|---|
| `bgpt-paper-search` | core | Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/bgpt-paper-search) |
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scholar-evaluation) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `research-lookup` | core | Look up current research and scientific information across three backends: fast web search via parallel-cli (default), the Parallel Chat API for deep multi-source synthesis, and Perplexity sonar-pro-search for scholarly paper searches. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/research-lookup) |
| `scientific-writing` | core | Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-writing) |
| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/statistical-analysis) |
## Source: K-Dense-AI/scientific-agent-skills
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `bgpt-paper-search` | core | Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/bgpt-paper-search) |
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scholar-evaluation) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `research-lookup` | core | Look up current research and scientific information across three backends: fast web search via parallel-cli (default), the Parallel Chat API for deep multi-source synthesis, and Perplexity sonar-pro-search for scholarly paper searches. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/research-lookup) |
| `scientific-writing` | core | Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-writing) |
| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/statistical-analysis) |
## Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-memory-forensics-with-lime-and-volatility` | core | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
| `conducting-memory-forensics-with-volatility` | core | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
| `detecting-process-injection-techniques` | core | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
| `analyzing-linux-kernel-rootkits` | core | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
## Source: NeoLabHQ/context-engineering-kit
- Repository: [https://github.com/NeoLabHQ/context-engineering-kit](https://github.com/NeoLabHQ/context-engineering-kit) (commit `e61511b`, retrieved 2026-07-14)
- License: GPL
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `plan-do-check-act` | core | Iterative PDCA cycle for systematic experimentation and continuous improvement | [source](https://github.com/NeoLabHQ/context-engineering-kit/tree/e61511b/plugins/kaizen/skills/plan-do-check-act) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-research-methodology` | core | Research output templates, distillation workflow, and quality standards for evidence-driven research | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-research-methodology) |
## Source: OpenRaiser/NanoResearch
- Repository: [https://github.com/OpenRaiser/NanoResearch](https://github.com/OpenRaiser/NanoResearch) (commit `7144364`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/OpenRaiser/NanoResearch/tree/7144364/skills/vendor-ai-research/academic-plotting) |
## Source: Orchestra-Research/AI-research-SKILLs
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/academic-plotting) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
## Source: secondsky/claude-skills
- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `recommendation-system` | core | Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/recommendation-system/skills/recommendation-system) |
## Source: wanshuiyin/Anti-Autoresearch
- Repository: [https://github.com/wanshuiyin/Anti-Autoresearch](https://github.com/wanshuiyin/Anti-Autoresearch) (commit `c7f7f0d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `eval-design-forensics` | core | Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family D (experiment-forensics) cannot reach. Three patterns: train/test leakage means the reported score … | [source](https://github.com/wanshuiyin/Anti-Autoresearch/tree/c7f7f0d/skills/eval-design-forensics) |
## Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `paper-figure` | core | Generate publication-quality figures and tables from experiment results. Use when user says \"画图\", \"作图\", \"generate figures\", \"paper figures\", or needs plots for a paper. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/paper-figure) |
| `paper-illustration-image2` | core | Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to `paper-illustration`, intended for Claude Code users who … | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/paper-illustration-image2) |
| `system-profile` | core | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says \"profile\", \"benchmark\", \"bottleneck\", or wants performance analysis. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/skills-codex/system-profile) |
## Source: zechenzhangAGI/AI-research-SKILLs
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/academic-plotting) |

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# Market evidence report — paper-engineer
Source: **28 real job ads** (JSearch API, countries: us 22, gb 6), extracted into the MSSQL evidence store; as of 2026-07-18.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 20 | 71 % |
| junior | 6 | 21 % |
| lead | 2 | 7 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 14 | 50 % |
| 2 | process optimization | 10 | 36 % |
| 3 | process improvement | 6 | 21 % |
| 4 | project management | 5 | 18 % |
| 5 | process engineering | 4 | 14 % |
| 6 | troubleshooting | 4 | 14 % |
| 7 | continuous improvement | 3 | 11 % |
| 8 | problem solving | 3 | 11 % |
| 9 | problem-solving | 3 | 11 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 3 | 11 % |
| 2 | process optimization | 3 | 11 % |
| 3 | project execution | 3 | 11 % |
## Regional breakdown
> **Corpus note:** 28 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** — 22 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 6 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 |
|---|---|
| Chemical Engineering Co-Op - Pulp & Paper Process Optimizer | 1 |
| Chemical Process Engineer - Pulp & Paper - Schenectady, NY | 1 |
| Georgia-Pacific Papermaking Developmental Manufacturing Engineer 2026 Full-Time Program | 1 |
| Junior Technical Process Engineer - Paper Production | 1 |
| Lead Process Engineer - Pulp & Paper Optimization | 1 |
| Lead Process Engineer Paper Converting & CI | 1 |
| Manufacturing Engineer - Paper | 1 |
| Paper Making Process Engineer: Safety, Improvement & Impact | 1 |
| Paper Mill Process Engineer - Troy, NY | 1 |
| Paper Mill Process Engineer: Drive Efficiency & Quality | 1 |
| Plant Engineer - Paper Mill | 1 |
| Plant Engineer Paper Mill Upgrades & Optimization | 1 |
| Process Control Engineer - Pulp & Paper Mill - Troy, NY | 1 |
| Process Control Engineer - Pulp Mills - Utica, NY | 1 |
| Process Control Engineer: Paper & Packaging Innovator | 1 |
| Process Engineer | 1 |
| Process Engineer - Paper | 1 |
| Process Engineer - Paper Mill | 1 |
| Process Engineer - Pulp & Paper Lean Improvement | 1 |
| Process Engineer - Pulp & Paper Mill Optimization | 1 |
| Process Engineer: Paper Mill Continuous Improvement | 1 |
| Process Engineer: Pulp & Paper Operations & Innovation | 1 |
| Process Optimization Engineer Paper Mill | 1 |
| Project Engineer - Pulp & Paper - Tacoma, WA | 1 |
| Project Engineer, Paper Machines | 1 |
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.

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# Occupation profile — paper engineer
- **ESCO URI:** http://data.europa.eu/esco/occupation/c44c078d-85e4-40a3-9598-2c333d7a24ca
- **ESCO code:** 2145.1.8
- **ISCO-08 group:** 2145 — Chemical engineers
## Description (ESCO)
Paper engineers ensure an optimal production process in the manufacture of paper and related products. They select primary and secondary raw materials and check their quality. In addition, they optimize machinery and equipment usage as well as the chemical additives for paper making.
## Definition
nan
## Alternative labels
- process engineer
- materials engineer
- mechanical engineer
- pulp and paper engineer
- paper mill process engineer
- paper machine superintendant
- pulp paper engineer

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# Competences — paper engineer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/c44c078d-85e4-40a3-9598-2c333d7a24ca).
## Essential
- **check paper quality** (skill/competence)
- **check quality of raw materials** (skill/competence)
- **engineering principles** (knowledge)
- **engineering processes** (knowledge)
- **ensure compliance with safety legislation** (skill/competence)
- **manufacturing processes** (knowledge)
- **monitor production developments** (skill/competence)
- **monitor pulp quality** (skill/competence)
- **optimise production** (skill/competence)
- **paper chemistry** (knowledge)
- **paper production processes** (knowledge)
- **perform scientific research** (skill/competence)
- **plan engineering activities** (skill/competence)
- **quality standards** (knowledge)
- **sizes of paper** (knowledge)
- **test paper production samples** (skill/competence)
- **types of paper** (knowledge)
- **types of pulp** (knowledge)
## Optional
- business management principles (knowledge)
- communication (knowledge)
- dispose of hazardous waste (skill/competence)
- dispose of non-hazardous waste (skill/competence)
- ensure compliance with environmental legislation (skill/competence)
- identify hazards in the workplace (skill/competence)
- keep records of work progress (skill/competence)
- perform project management (skill/competence)
- plan product management (skill/competence)
- prepare wood production reports (skill/competence)
- sales strategies (knowledge)
- types of wood (knowledge)
- use CAD software (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 28 ads, as of 2026-07-18)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **50 %**
- process optimization — **36 %**
- process improvement — **21 %**
- project management — **18 %**
<!-- market-evidence -->

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# Tasks & work activities — paper engineer
Source: O*NET 30.3, occupation 19-2032.00 (Materials Scientists) — manual nearest-occupation mapping via ISCO group 2145; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Perform experiments and computer modeling to study the nature, structure, and physical and chemical properties of metals and their alloys, and their responses to applied forces.
- **[Core]** Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.
- **[Core]** Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget.
- **[Core]** Write research papers for publication in scientific journals.
- **[Core]** Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.
- **[Core]** Confer with customers to determine how to tailor materials to their needs.
- **[Core]** Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.
- **[Core]** Devise testing methods to evaluate the effects of various conditions on particular materials.
- **[Core]** Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications.
- **[Core]** Recommend materials for reliable performance in various environments.
- **[Core]** Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met.
- **[Core]** Visit suppliers of materials or users of products to gather specific information.
- **[Core]** Research methods of processing, forming, and firing materials to develop such products as ceramic dental fillings, unbreakable dinner plates, and telescope lenses.
- **[Core]** Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.
- **[Core]** Test metals to determine conformance to specifications of mechanical strength, strength-weight ratio, ductility, magnetic and electrical properties, and resistance to abrasion, corrosion, heat, and cold.
- **[Supplemental]** Teach in colleges and universities.
## Detailed work activities
- Advise others on the development or use of new technologies.
- Collect information from people through observation, interviews, or surveys.
- Conduct research to gain information about products or processes.
- Confer with clients to exchange information.
- Design research studies to obtain scientific information.
- Develop new or advanced products or production methods.
- Develop theories or models of physical phenomena.
- Devise research or testing protocols.
- Instruct college students in physical or life sciences.
- Monitor operational procedures in technical environments to ensure conformance to standards.
- Prepare scientific or technical reports or presentations.
- Test quality of materials or finished products.
- Write articles, books or other original materials in area of expertise.

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# Tools & technology — paper engineer
Source: O*NET 30.3, occupation 19-2032.00 (Materials Scientists) — manual nearest-occupation mapping via ISCO group 2145; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Hypertext markup language HTML | Web platform development software | yes |
| IBM SPSS Statistics | Analytical or scientific software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Word | Word processing software | yes |
| Python | Object or component oriented development software | yes |
| R | Object or component oriented development software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| Accelrys Materials Studio | Analytical or scientific software | |
| Advanced Chemistry Development Analytical Laboratory | Analytical or scientific software | |
| ANSYS LS-DYNA | Analytical or scientific software | |
| ANSYS Multiphysics | Analytical or scientific software | |
| Bruker AXS EVA | Analytical or scientific software | |
| Bruker AXS LEPTOS | Analytical or scientific software | |
| Bruker AXS TOPAS | Analytical or scientific software | |
| Chempute Software HSC Chemistry | Analytical or scientific software | |
| CrystalMaker | Analytical or scientific software | |
| Dassault Systemes Abaqus | Analytical or scientific software | |
| Email software | Electronic mail software | |
| GAMESS-US | Analytical or scientific software | |
| General Structural Analysis System GSAS | Analytical or scientific software | |
| International Centre for Diffraction Data ICDD DDView | Data base user interface and query software | |
| Maplesoft Maple | Analytical or scientific software | |
| Materials Data Incorporated Jade | Analytical or scientific software | |
| Multichannel microelectrode analyzer MMA software | Analytical or scientific software | |
| National Instruments LabVIEW | Development environment software | |
| Olympus Image Analysis | Analytical or scientific software | |
| PANalytical X'Pert Data Collector | Analytical or scientific software | |
| PANalytical X'Pert Epitaxy | Analytical or scientific software | |
| PWscf | Analytical or scientific software | |
| RIETAN | Analytical or scientific software | |
| SolidWorks COSMOSWorks | Analytical or scientific software | |
| Stewart Computational Chemistry MOPAC | Analytical or scientific software | |
| VAMP/VASP | Analytical or scientific software | |
| Web browser software | Internet browser software | |
| Wolfram Research Mathematica | Analytical or scientific software | |