feat: food-analyst skill package v0.1.0

2026-08-14 17:47:58 +02:00
commit 69fc58f0c9
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--- a/PROVENANCE.md
+++ b/PROVENANCE.md
@@ -0,0 +1,30 @@
+# Data provenance — food-analyst
+
+Where the content of this skill package comes from, counted by
+content items (tasks, competences, tools, evidence entries, curated
+knowledge). Rendered live by Gitea:
+
+```mermaid
+%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#d97757','pie4':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
+pie showData
+    title Content sources — food-analyst
+    "ESCO (occupation & competences)" : 72
+    "O*NET (tasks & tools)" : 52
+    "Anthropic official Claude skills" : 6
+    "External AI skill packs (mapped)" : 146
+```
+
+| Source | Items | Share | Files |
+|---|---|---|---|
+| ESCO (occupation & competences) | 72 | 26.1 % | references/profile.md, references/skills.md |
+| O*NET (tasks & tools) | 52 | 18.8 % | references/tasks.md, references/tools.md |
+| Job boards (market evidence) | 0 | 0.0 % | references/market.md (full report) + "Market evidence" headline sections |
+| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
+| Anthropic official Claude skills | 6 | 2.2 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
+| External AI skill packs (mapped) | 146 | 52.9 % | references/ai-skills.md (per-source attribution inside) |
+| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
+
+Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
+job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
+paraphrased with source URLs — never copied · external AI skills are
+linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).
--- a/SKILL.md
+++ b/SKILL.md
@@ -0,0 +1,61 @@
+---
+name: food-analyst
+description: "Occupational skill for the role 'food analyst' (also: food researcher, food analysis expert, food research specialist, food analysis specialist). Use when the user asks for typical food analyst work such as: Maintain records of testing results or other documents as required by state or other governing agencies.; Monitor and control temperature of products.; Perform regular maintenance of laboratory equipment by inspecting, calibrating, cleaning, or sterilizing."
+---
+
+# Food Analyst
+
+Food analysts perform standardised tests to determine the chemical, physical, or microbiological features of products for human consumption.
+
+## Core workflow
+
+1. Maintain records of testing results or other documents as required by state or other governing agencies.
+2. Monitor and control temperature of products.
+3. Perform regular maintenance of laboratory equipment by inspecting, calibrating, cleaning, or sterilizing.
+4. Train newly hired laboratory personnel.
+5. Supervise other food science technicians.
+6. Conduct standardized tests on food, beverages, additives, or preservatives to ensure compliance with standards and regulations regarding factors such as color, texture, or nutrients.
+7. Provide assistance to food scientists or technologists in research and development, production technology, or quality control.
+8. Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures.
+
+## 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 characteristics of food products at reception
+- analyse samples of food and beverages
+- apply GMP
+- apply HACCP
+- apply requirements concerning manufacturing of food and beverages
+- assess quality characteristics of food products
+- attend to detail regarding food and beverages
+- blend food ingredients
+- calibrate laboratory equipment
+- collect samples for analysis
+- conduct food tests
+- ensure public safety and security
+- follow hygienic procedures during food processing
+- follow laboratory manuals
+- food safety principles
+
+## Hot technologies
+
+- SAS
+- Microsoft Access
+- Microsoft SQL Server
+- Microsoft Outlook
+- SAP software
+- Microsoft Office software
+- Linux
+- Microsoft PowerPoint
+- Microsoft Visio
+- Microsoft Excel
+
+---
+*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/33fe4c90-c4fd-4860-bdc5-24fcab16f45a), O*NET 30.3 (19-4013.00). See manifest.json for licensing/attribution.*
--- a/manifest.json
+++ b/manifest.json
@@ -0,0 +1,214 @@
+{
+  "name": "food-analyst",
+  "title": "food analyst",
+  "version": "0.1.0",
+  "layer": "core",
+  "language": "en",
+  "generated": "2026-07-07",
+  "ids": {
+    "esco_uri": "http://data.europa.eu/esco/occupation/33fe4c90-c4fd-4860-bdc5-24fcab16f45a",
+    "esco_code": "3111.3",
+    "isco_group": "3111",
+    "onet_soc": "19-4013.00",
+    "crosswalk_match": "exactMatch"
+  },
+  "sources": [
+    {
+      "name": "ESCO",
+      "version": "1.2.1",
+      "url": "https://esco.ec.europa.eu/"
+    },
+    {
+      "name": "O*NET",
+      "version": "30.3",
+      "url": "https://www.onetcenter.org/",
+      "license": "CC BY 4.0"
+    }
+  ],
+  "attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
+  "counts": {
+    "tasks": 16,
+    "dwas": 14,
+    "skills_essential": 36,
+    "skills_optional": 35,
+    "software": 21
+  },
+  "enrichment_ai_skills": {
+    "generated": "2026-07-14",
+    "method": "deterministic mapping (ISCO prefix + title/competence keywords)",
+    "sources": {
+      "anthropics/skills": {
+        "repo": "https://github.com/anthropics/skills",
+        "commit": "f6656c1",
+        "license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
+        "skills": 3
+      },
+      "NVIDIA/skills": {
+        "repo": "https://github.com/NVIDIA/skills",
+        "commit": "153b14b",
+        "license": "CC-BY-4.0 (skills/docs), Apache-2.0 (code)",
+        "skills": 12
+      },
+      "google/skills": {
+        "repo": "https://github.com/google/skills",
+        "commit": "b15f327",
+        "license": "Apache-2.0",
+        "skills": 12
+      },
+      "phuryn/pm-skills": {
+        "repo": "https://github.com/phuryn/pm-skills",
+        "commit": "18468a9",
+        "license": "MIT",
+        "skills": 9
+      },
+      "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
+      },
+      "K-Dense-AI/scientific-agent-skills": {
+        "repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 1
+      },
+      "davila7/claude-code-templates": {
+        "repo": "https://github.com/davila7/claude-code-templates",
+        "commit": "fa79251",
+        "license": "MIT",
+        "skills": 3
+      },
+      "samber/cc-skills-golang": {
+        "repo": "https://github.com/samber/cc-skills-golang",
+        "commit": "4881c01",
+        "license": "MIT",
+        "skills": 1
+      },
+      "mohitagw15856/pm-claude-skills": {
+        "repo": "https://github.com/mohitagw15856/pm-claude-skills",
+        "commit": "876fa30",
+        "license": "MIT",
+        "skills": 4
+      },
+      "mukul975/Anthropic-Cybersecurity-Skills": {
+        "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
+        "commit": "673da1f",
+        "license": "Apache-2.0",
+        "skills": 6
+      },
+      "a5c-ai/babysitter": {
+        "repo": "https://github.com/a5c-ai/babysitter",
+        "commit": "44a5d58b",
+        "license": "MIT",
+        "skills": 6
+      },
+      "wondelai/skills": {
+        "repo": "https://github.com/wondelai/skills",
+        "commit": "326b380",
+        "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": 1
+      },
+      "trailofbits/skills": {
+        "repo": "https://github.com/trailofbits/skills",
+        "commit": "cfe5d7b",
+        "license": "custom (see upstream LICENSE)",
+        "skills": 2
+      },
+      "jeremylongshore/claude-code-plugins-plus-skills": {
+        "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
+        "commit": "e112938a",
+        "license": "MIT",
+        "skills": 8
+      },
+      "alirezarezvani/claude-skills": {
+        "repo": "https://github.com/alirezarezvani/claude-skills",
+        "commit": "0241f43",
+        "license": "MIT",
+        "skills": 1
+      },
+      "jabrena/plinth": {
+        "repo": "https://github.com/jabrena/plinth",
+        "commit": "065eae8",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "SnailSploit/Claude-Red": {
+        "repo": "https://github.com/SnailSploit/Claude-Red",
+        "commit": "aeb41ec",
+        "license": "MIT",
+        "skills": 1
+      },
+      "0xwilliamortiz/claude-red": {
+        "repo": "https://github.com/0xwilliamortiz/claude-red",
+        "commit": "ad8436b",
+        "license": "MIT",
+        "skills": 1
+      },
+      "jawwadfirdousi/agent-skills": {
+        "repo": "https://github.com/jawwadfirdousi/agent-skills",
+        "commit": "962ffed",
+        "license": "no explicit license \u2014 referenced by link only",
+        "skills": 1
+      },
+      "AIDevGTM/gtm-cofounder": {
+        "repo": "https://github.com/AIDevGTM/gtm-cofounder",
+        "commit": "627d901",
+        "license": "MIT",
+        "skills": 1
+      },
+      "nWave-ai/nWave": {
+        "repo": "https://github.com/nWave-ai/nWave",
+        "commit": "1d0f13c",
+        "license": "MIT",
+        "skills": 1
+      },
+      "Kaelio/ktx": {
+        "repo": "https://github.com/Kaelio/ktx",
+        "commit": "49a4ae6",
+        "license": "Apache-2.0",
+        "skills": 1
+      }
+    },
+    "total_skills": 80,
+    "tiers": {
+      "core": 45,
+      "adjacent": 35
+    }
+  },
+  "provenance": {
+    "items": {
+      "esco": 72,
+      "onet": 52,
+      "jobads": 0,
+      "wiki_ai": 0,
+      "anthropic": 6,
+      "ai_skills": 146,
+      "stackx": 0
+    },
+    "share_percent": {
+      "esco": 26.1,
+      "onet": 18.8,
+      "jobads": 0.0,
+      "wiki_ai": 0.0,
+      "anthropic": 2.2,
+      "ai_skills": 52.9,
+      "stackx": 0.0
+    },
+    "method": "content items per source category"
+  },
+  "collar": "white",
+  "computer_work": true
+}
--- a/references/ai-skills.md
+++ b/references/ai-skills.md
@@ -0,0 +1,290 @@
+# External AI agent skills — food-analyst
+
+Proven, publicly available AI agent skills mapped to this occupation.
+Nothing is copied from the sources: every entry is a name, a one-line
+summary and a link to the upstream skill package. Each section names
+its source repository, commit, license and retrieval date.
+
+**Tiers:** `core` = the skill directly exercises a top market hard
+skill, tool or method (from gated job-ad evidence) or an essential
+ESCO competence of this occupation; `adjacent` =
+plausibly useful, secondary. Entries are capped at 12 per source
+and 80 in total per occupation (core first,
+strongest matches survive); everything beyond the caps is excluded
+and logged in the pipeline audit trail, not in this package.
+
+_Matched deterministically (ISCO group + title/competence keywords,
+tiered against market evidence + ESCO essentials) by
+`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
+
+## Source: anthropics/skills
+
+- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
+- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
+| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
+| `xlsx` | adjacent | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, … | [source](https://github.com/anthropics/skills/tree/main/skills/xlsx) |
+
+## Source: 0xwilliamortiz/claude-red
+
+- Repository: [https://github.com/0xwilliamortiz/claude-red](https://github.com/0xwilliamortiz/claude-red) (commit `ad8436b`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `offensive-reporting` | core | Penetration test and red team report writing methodology. Covers executive summary structuring (risk-led narrative for non-technical readers), technical finding format (title, severity, affected scope, narrative, reproduction steps, … | [source](https://github.com/0xwilliamortiz/claude-red/tree/ad8436b/Skills/utility/offensive-reporting) |
+
+## 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 |
+|---|---|---|---|
+| `prd-generator` | core | Generate comprehensive Product Requirements Documents from structured inputs. Apply company templates, create technical specifications, define success metrics, build launch checklists, and version PRD changes over time. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/prd-generator) |
+| `data-quality-profiler` | core | Profiles data assets to assess quality dimensions, detect anomalies, and generate comprehensive data quality reports with actionable recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/data-quality-profiler) |
+| `docs-analytics` | core | Documentation usage analytics and insights. Integrate with Google Analytics, Algolia analytics, and custom tracking to measure documentation effectiveness, identify content gaps, and optimize user journeys. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/docs-analytics) |
+| `extractables-leachables-analyzer` | core | E&L study design and data analysis skill for chemical characterization of medical devices | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/biomedical-engineering/skills/extractables-leachables-analyzer) |
+| `audience-analytics` | core | Analyze visitor data, attendance patterns, and engagement metrics to inform programming decisions and measure organizational impact | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/arts-culture/skills/audience-analytics) |
+| `quality-metrics-measurement` | adjacent | Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/healthcare/skills/quality-metrics-measurement) |
+
+## Source: AIDevGTM/gtm-cofounder
+
+- Repository: [https://github.com/AIDevGTM/gtm-cofounder](https://github.com/AIDevGTM/gtm-cofounder) (commit `627d901`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `know-if-its-working` | core | Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers. Use when the founder has dashboards full of stars and pageviews but can't tell if go-to-market is working, or is optimizing … | [source](https://github.com/AIDevGTM/gtm-cofounder/tree/627d901/skills/15-know-if-its-working) |
+
+## 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 |
+|---|---|---|---|
+| `report` | core | Generate test report. Use when user says "test report", "results summary", "test status", "show results", "test dashboard", or "how did tests go". | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering-team/playwright-pro/skills/report) |
+
+## 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 |
+|---|---|---|---|
+| `bibliometrix-guide` | core | Perform science mapping and bibliometric analysis with R bibliometrix | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/literature/metadata/bibliometrix-guide) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+| `senior-qa` | core | Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/senior-qa) |
+| `Excel Analysis` | core | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `161-java-profiling-detect` | core | Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/161-java-profiling-detect) |
+
+## Source: jawwadfirdousi/agent-skills
+
+- Repository: [https://github.com/jawwadfirdousi/agent-skills](https://github.com/jawwadfirdousi/agent-skills) (commit `962ffed`, retrieved 2026-07-14)
+- License: no explicit license — referenced by link only
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `supabase` | core | Run Supabase Management API SQL for persistent data tasks such as querying records, applying schema changes, managing policies, and handling storage metadata. Use when requests involve Supabase database CRUD, migrations, or production-like … | [source](https://github.com/jawwadfirdousi/agent-skills/tree/962ffed/supabase/skills/supabase) |
+
+## 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 |
+|---|---|---|---|
+| `exa-observability` | core | Set up monitoring, metrics, and alerting for Exa search integrations. Use when implementing monitoring for Exa operations, building dashboards, or configuring alerting for search quality and latency. Trigger with phrases like "exa … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/exa-pack/skills/exa-observability) |
+| `perplexity-observability` | core | Set up monitoring for Perplexity Sonar API with latency, cost, citation quality, and error tracking. Use when implementing monitoring dashboards, setting up alerts, or tracking Perplexity API health in production. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-observability) |
+| `analyzing-on-chain-data` | core | Process perform on-chain analysis including whale tracking, token flows, and network activity. Use when performing crypto analysis. Trigger with phrases like "analyze crypto", "check blockchain", or "monitor market".  | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/crypto/on-chain-analytics/skills/analyzing-on-chain-data) |
+| `crest-okr` | core | OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence. Use when asked to "set OKRs", "define our objectives", "what should we measure this quarter", "design our OKR framework", "build a … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/crest-okr) |
+| `granola-core-workflow-b` | core | Post-meeting note processing, sharing, and follow-up workflows in Granola. Use when enhancing notes after meetings, sharing to Slack/Notion/CRM, drafting follow-up emails, or processing action items. Trigger: "granola post-meeting", "share … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-core-workflow-b) |
+| `generating-test-reports` | core | Generate comprehensive test reports with metrics, coverage, and visualizations. Use when performing specialized testing. Trigger with phrases like "generate test report", "create test documentation", or "show test metrics".  | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/testing/test-report-generator/skills/generating-test-reports) |
+| `lean-startup` | core | Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/productivity/wondelai-lean-startup) |
+| `lumen-funnel` | core | Use when asked to analyze a funnel, find where users drop off, diagnose low conversion or activation rates, design a metrics framework, set up OKRs, or measure whether a feature is working. Examples: "analyze our funnel", "why is … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/lumen-funnel) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `sl_capture` | core | How to capture new reusable patterns into ktx's semantic layer - when a measure, segment, or join belongs in the catalog and how to write it generically so it stays small and useful over time. Loaded by the post-turn memory-agent only. The … | [source](https://github.com/Kaelio/ktx/tree/49a4ae6/packages/cli/src/skills/sl_capture) |
+
+## Source: mohitagw15856/pm-claude-skills
+
+- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `data-quality-checks` | core | Design the data quality checks for a table or pipeline across the standard dimensions. Use when asked to add data quality tests, define DQ checks, catch bad data before it hits dashboards, or set up monitoring for a dataset. Produces a … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-dataeng/skills/data-quality-checks) |
+| `retention-analysis` | core | Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DAU/MAU, or build a retention improvement plan. Produces a retention … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-analytics/skills/retention-analysis) |
+| `ai-eval-plan` | core | Design an evaluation plan for an LLM or AI feature before shipping it. Use when asked how to evaluate a prompt/model/agent, set up an eval harness, define quality metrics for an AI feature, or build a regression gate. Produces an eval plan … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-agentops/skills/ai-eval-plan) |
+| `monitoring-setup-guide` | core | Write a monitoring setup guide for a service — defining what to measure, how to alert on it, and how to build the observability stack covering the four golden signals, business metrics, log strategy, distributed tracing, alerting rules, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-engineering/skills/monitoring-setup-guide) |
+
+## 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 |
+|---|---|---|---|
+| `extracting-config-from-agent-tesla-rat` | core | Extract embedded configuration from Agent Tesla RAT samples including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints using .NET decompilation and memory analysis. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/extracting-config-from-agent-tesla-rat) |
+| `performing-thick-client-application-penetration-test` | core | Conduct a thick client application penetration test to identify insecure local storage, hardcoded credentials, DLL hijacking, memory manipulation, and insecure API communication in desktop applications using dnSpy, Procmon, and Burp Suite. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-thick-client-application-penetration-test) |
+| `detecting-insider-threat-with-ueba` | core | Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-insider-threat-with-ueba) |
+| `performing-sqlite-database-forensics` | core | Perform forensic analysis of SQLite databases to recover deleted records from freelists and WAL files, decode encoded timestamps, and extract evidence from browser history, messaging apps, and mobile device databases. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-sqlite-database-forensics) |
+| `red-teaming-llms-with-garak` | core | Run NVIDIA garak probe suites against an LLM endpoint to test for jailbreaks, prompt injection, data leakage, and toxic generation, then interpret the hit-rate report for triage and reporting. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/red-teaming-llms-with-garak) |
+| `building-vulnerability-aging-and-sla-tracking` | core | Implement a vulnerability aging dashboard and SLA tracking system to measure remediation performance against severity-based timelines and drive accountability. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/building-vulnerability-aging-and-sla-tracking) |
+
+## 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-outcome-kpi-framework` | core | Outcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIs | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-outcome-kpi-framework) |
+
+## Source: samber/cc-skills-golang
+
+- Repository: [https://github.com/samber/cc-skills-golang](https://github.com/samber/cc-skills-golang) (commit `4881c01`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `golang-security` | core | Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-security) |
+
+## Source: SnailSploit/Claude-Red
+
+- Repository: [https://github.com/SnailSploit/Claude-Red](https://github.com/SnailSploit/Claude-Red) (commit `aeb41ec`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `offensive-reporting` | core | Penetration test and red team report writing methodology. Covers executive summary structuring (risk-led narrative for non-technical readers), technical finding format (title, severity, affected scope, narrative, reproduction steps, … | [source](https://github.com/SnailSploit/Claude-Red/tree/aeb41ec/Skills/utility/offensive-reporting) |
+
+## Source: trailofbits/skills
+
+- Repository: [https://github.com/trailofbits/skills](https://github.com/trailofbits/skills) (commit `cfe5d7b`, retrieved 2026-07-14)
+- License: custom (see upstream LICENSE)
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `c-review` | core | Performs comprehensive C/C++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C/C++ applications, reviewing daemons or services for memory safety, or … | [source](https://github.com/trailofbits/skills/tree/cfe5d7b/plugins/c-review/skills/c-review) |
+| `rust-review` | core | Performs comprehensive Rust security review for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes. Use when auditing Rust crates, services, or … | [source](https://github.com/trailofbits/skills/tree/cfe5d7b/plugins/rust-review/skills/rust-review) |
+
+## Source: wondelai/skills
+
+- Repository: [https://github.com/wondelai/skills](https://github.com/wondelai/skills) (commit `326b380`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `steve-jobs-design-review` | core | Review designs, products, and features with Steve Jobs'' standards: ruthless simplicity, focus, and end-to-end excellence. Use when the user mentions "Steve Jobs review", "design review", "product review", "what would Steve do", "insanely … | [source](https://github.com/wondelai/skills/tree/326b380/steve-jobs-design-review) |
+| `lean-startup` | core | Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation … | [source](https://github.com/wondelai/skills/tree/326b380/lean-startup) |
+
+## Source: google/skills
+
+- Repository: [https://github.com/google/skills](https://github.com/google/skills) (commit `b15f327`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `bigquery-basics` | core | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-basics) |
+| `agent-platform-alert-configuration` | adjacent | Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-alert-configuration) |
+| `agent-platform-eval-flywheel` | adjacent | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-eval-flywheel) |
+| `datalineage-bigquery-asset-impact-analysis` | adjacent | Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/datalineage-bigquery-asset-impact-analysis) |
+| `bigquery-ai-ml` | adjacent | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-ai-ml) |
+| `google-analytics-admin-api-basics` | adjacent | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-admin-api-basics) |
+| `google-analytics-data-api-basics` | adjacent | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-data-api-basics) |
+| `alloydb-basics` | adjacent | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/alloydb-basics) |
+| `bigtable-basics` | adjacent | Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigtable-basics) |
+| `cloud-sql-basics` | adjacent | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/cloud-sql-basics) |
+| `gke-observability` | adjacent | Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/gke-observability) |
+| `google-cloud-networking-observability` | adjacent | Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/google-cloud-networking-observability) |
+
+## Source: NVIDIA/skills
+
+- Repository: [https://github.com/NVIDIA/skills](https://github.com/NVIDIA/skills) (commit `153b14b`, retrieved 2026-07-14)
+- License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `vss-generate-video-report` | adjacent | Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-report) |
+| `deepstream-dev` | adjacent | NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/deepstream-dev) |
+| `tao-train-metric-learning-recognition` | adjacent | Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-metric-learning-recognition) |
+| `nv-reason-cxr` | adjacent | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nv-reason-cxr) |
+| `tao-train-reid` | adjacent | Person re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-reid) |
+| `nemo-evaluator-plugin` | adjacent | Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-evaluator-plugin) |
+| `tao-train-depth-anything-v2` | adjacent | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-depth-anything-v2) |
+| `vss-generate-video-calibration` | adjacent | Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-calibration) |
+| `vss-manage-alerts` | adjacent | Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-manage-alerts) |
+| `vss-query-analytics` | adjacent | Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-query-analytics) |
+| `vss-setup-behavior-analytics` | adjacent | Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-behavior-analytics) |
+| `vss-setup-video-analytics-api` | adjacent | Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-video-analytics-api) |
+
+## Source: phuryn/pm-skills
+
+- Repository: [https://github.com/phuryn/pm-skills](https://github.com/phuryn/pm-skills) (commit `18468a9`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `cohort-analysis` | core | Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/cohort-analysis) |
+| `ab-test-analysis` | adjacent | Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/ab-test-analysis) |
+| `dummy-dataset` | adjacent | Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-execution/skills/dummy-dataset) |
+| `gtm-strategy` | adjacent | Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-go-to-market/skills/gtm-strategy) |
+| `lean-canvas` | adjacent | Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/lean-canvas) |
+| `metrics-dashboard` | adjacent | Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-discovery/skills/metrics-dashboard) |
+| `north-star-metric` | adjacent | Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-marketing-growth/skills/north-star-metric) |
+| `product-strategy` | adjacent | Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/product-strategy) |
+| `sql-queries` | adjacent | Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/sql-queries) |
--- a/references/berufsbild-de.md
+++ b/references/berufsbild-de.md
@@ -0,0 +1,82 @@
+# Berufsbild (Deutschland) — Lebensmittelchemiker/in
+
+> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 58753,
+> KldB 2010: B 41384 · via öffentliche BERUFENET-API,
+> abgerufen 2026-07-12. Automatisches Label-Matching
+> (Score 1.00); Inhalte paraphrasiert/gekürzt, Volltext beim
+> Original: https://web.arbeitsagentur.de/berufenet/beruf/58753
+
+## Aufgaben und Tätigkeiten kompakt
+
+Lebensmittelchemiker und Lebensmittelchemikerinnen analysieren Rohstoffe und Produkte, prüfen deren Eignung für den Verzehr und kontrollieren sie auf Schadstoffe. In der Lebensmittelindustrie entwickeln sie Herstellungsverfahren, steuern Produktionsabläufe und sichern die Produktqualität. Darüber hinaus überwachen sie in Behörden die Einhaltung gesetzlicher Vorgaben im Lebensmittelbereich. Häufig beraten sie Verbrauchende, Unternehmen oder Institutionen zu Fragen der Lebensmittelsicherheit. In der Forschung entwickeln sie neue Analyseverfahren, verbessern bestehende Methoden und veröffentlichen ihre Ergebnisse. An Hochschulen lehren sie, betreuen Studierende und führen Prüfungen durch.
+
+## Tätigkeitsbezeichnungen
+
+Lebensmittelchemiker/in
+
+Abweichende Berufsbezeichnung der ehemaligen DDRDiplomlebensmittelchemiker/ Diplomlebensmittelchemikerin (Uni)
+
+Berufsbezeichnung in englischer SpracheFood chemist (m/f)
+
+Berufsbezeichnungen in französischer SpracheChercheur/Chercheuse en génie alimentaire
+
+Développeur/Développeuse en génie alimentaire
+
+## Die Tätigkeit im Überblick
+
+Lebensmittelchemiker und Lebensmittelchemikerinnen analysieren die chemische Zusammensetzung von Lebensmitteln und Gebrauchsgegenständen sowie die Wechselwirkungen ihrer Inhaltsstoffe. Daneben arbeiten sie auch in Entwicklung, Qualitätssicherung oder im Beratungswesen oder in Wissenschaft und Lehre.
+
+## Trends
+
+Speiseinsekten in der LebensmittelproduktionKlimawandel und Ressourcenknappheit erfordern in der Lebensmittelproduktion nachhaltigere und effizientere Lösungen. Eine Möglichkeit: der Einsatz von Speiseinsekten - etwa als Fleischersatz, in Backwaren oder als Futtermittel für Nutztiere. Die Insektenaufzucht ist ressourcenschonend, da sie deutlich weniger Wasser, Futter, Fläche und Energie benötigt. Zudem liefern Insekten hochwertige Proteine und Nährstoffe. Fach- und Führungskräfte in der Lebensmittelproduktion werden sich künftig mit diesem Thema beschäftigen.
+Nachhaltigkeit in der Ernährungsindustrie und im LebensmittelhandwerkVerbraucher legen immer mehr Wert auf ökologisch produzierte und umweltfreundlich verpackte Lebensmittel. Auch die Ernährungsindustrie achtet zunehmend auf faire Bedingungen, artgerechte Tierhaltung und Bio-Anbau. Lebensmittelproduzierende Unternehmen überarbeiten z.B. Rezepturen für eine gesündere Ernährung mit weniger Salz oder Zucker. Sie entwickeln auch Technologien, um Lebensmittel schonend und nachhaltig zu verarbeiten. Viele Unternehmen setzen zudem energieeffiziente Anlagen für die Kälteerzeugung oder die Druckluft- und Frischluftversorgung ein, um Treibhausgas-Emissionen zu reduzieren. Fach- und Führungskräfte werden sich kontinuierlich mit diesem Thema auseinandersetzen.
+Smarte Technologien für das Labor 4.0Die Digitalisierung von Laboren entwickelt sich zunehmend zu hochautomatisierten und datengetriebenen Arbeitsumgebungen. Moderne Laborinformations- und Managementsysteme vernetzen Geräte, Analytik sowie Dokumentation. Sie schaffen die Grundlage für die effiziente Nutzung großer Datenmengen. Künstliche Intelligenz (KI) unterstützt die Auswertung komplexer Analysedaten, identifiziert Muster und beschleunigt die Entwicklung neuer Produkte und Verfahren. Fortschritte in der Laborrobotik, automatisierten Synthese und sogenannten "Self-Driving Labs" ermöglichen es, Versuchsreihen weitgehend autonom zu planen, durchzuführen und auf Basis der gewonnenen Ergebnisse kontinuierlich zu optimieren. Fach- und Führungskräfte sollten sich mit diesen Entwicklungen auseinandersetzen, um die Potenziale datengetriebener und zunehmend autonomer Laborprozesse erfolgreich zu nutzen.
+Lebensmittelbetrug - Food FraudFood Fraud ist die kriminelle Manipulation oder Fälschung von Lebensmitteln. Diese werden falsch etikettiert und Billig- werden als Premiumprodukte deklariert. Kostengünstige Bestandteile wie z.B. Wasser, mit dem Garnelen aufgespritzt
+
+## Aufgaben und Tätigkeiten (Beschreibung)
+
+Worum geht es?Lebensmittelchemiker/innen untersuchen und bewerten die chemische Zusammensetzung von Lebensmitteln und Gebrauchsgegenständen sowie die Wechselwirkungen ihrer Inhaltsstoffe. Daneben sind sie in Wissenschaft und Lehre tätig, in der Entwicklung, der Qualitätssicherung oder im Beratungswesen.
+Analyse, Forschung und LehreDie Lebensmittelchemie ist eine spezielle Disziplin der Chemie, die auch Erkenntnisse und Methoden der Biochemie, Wissenschaft von Mikroorganismen (z.B. Bakterien, Pilze, Viren); medizinische Mikrobiologie untersucht deren Einfluss auf den Menschen
+" name="Mikrobiologie">Mikrobiologie, Lehre von Giften und ihren Wirkungen auf lebende Organismen
+" name="Toxikologie">Toxikologie, Lebensmitteltechnologie sowie der Ernährungswissenschaft umfasst. In den Bereichen Forschung und Entwicklung in der Nahrungs- und Genussmittelindustrie, an Staatliche und staatlich anerkannte Bildungseinrichtung des tertiären Bereichs; dazu zählen forschungsorientierte Universitäten und gleichgestellte Hochschulen, z.B. Kirchliche und Philosophisch-Theologische Hochschulen; sie alle haben das Promotionsrecht; außerdem gibt es praxis- und anwendungsorientierte Fachhochschulen bzw. Hochschulen für angewandte Wissenschaften sowie Duale Hochschulen
+" name="Hochschule (HS)">Hochschulen oder Forschungseinrichtungen entwickeln oder optimieren Lebensmittelchemiker/innen Methoden zur Untersuchung von Lebensmitteln, Körperpflegeartikeln, Verpackungs-, Wasch- und Reinigungsmitteln, Geschirr, Spielwaren, Anlagen und Maschinen der Lebensmittelproduktion. Sie analysieren z.B. die Reinheit und Herkunft von Lebensmitteln, beurteilen technologische und umweltbedingte Einwirkungen, überprüfen Art, Reinheit und Wirkungsweise von Zusatzstoffen, weisen Verfälschungen nach und spüren gesundheitlich bedenkliche Stoffe auf.
+Die Forschungsergebnisse halten sie in Veröffentlichungen fest und machen sie so anderen Wissenschaftlern sowie Studierenden zugänglich. Auf Tagungen und Kongressen referieren sie über Erkenntnisse. Sie halten Vorlesungen und Seminare, betreuen wissenschaftliche Arbeiten und nehmen Prüfungen ab.
+Für eigenständige wissenschaftliche Tätigkeiten sind i.d.R. ein Masterstudium und eine Erlangung des Doktorgrades, je nach fachlicher Ausrichtung mit entsprechendem Zusatz, z.B. Dr. phil. (Geisteswissenschaften); befähigt zur eigenständigen Forschung an Universitäten und gleichgestellten Hochschulen; Voraussetzung ist i.d.R. ein Hochschulabschluss, z.B. Master oder Sta
+
+## Aufgaben und Tätigkeiten im Einzelnen
+
+chemische, physikalische und mikrobiologische Analysen durchführen, um Verbrauchende vor Gesundheitsrisiken zu schützen; Ergebnisse nach dem Lebensmittel- und Futtermittelgesetzbuch sowie weiteren Vorschriften bewerten
+
+Rohstoffe auf Unbedenklichkeit und Eignung kontrollieren, Fertigprodukte auf Qualität analysieren und beurteilen
+
+neue Produkte entwickeln und Herstellungsverfahren mitgestalten
+
+Produktion und Qualitätsmanagementan Projektleitung, Planung und Montage lebensmitteltechnischer Anlagen und Verfahrensoptimierungen mitwirken
+
+neue wissenschaftliche Erkenntnisse auf industrielle Anwendbarkeit prüfen
+
+Einhaltung lebensmittelrechtlicher Vorschriften in der Produktion überprüfen
+
+Verpackungsmaterial auf Wechselwirkungen mit Lebensmitteln prüfen; Angaben zu Mindesthaltbarkeit und Zutatenlisten auf Fertigpackungen kontrollieren
+
+Beratung und Verbraucherschutz Gesetze und Verordnungen im Verbraucher- und Umweltschutz weiterentwickeln
+
+Gutachten und Exportzertifikate erstellen
+
+über lebensmittelrechtlichen Vorschriften beraten und deren Einhaltung kontrollieren
+
+Industriebetriebe, Importeure/Importeurinnen, Handelspartner/innen und andere Auftraggeber/innen in lebensmittelchemischen, -technologischen und -rechtlichen Fragen beraten
+
+als zugelassene Gegenprobensachverständige: Gegengutachten bei amtlichen Beanstandungen erstellen
+
+Forschung und Lehre Lebens- und Genussmittel, Spielzeug und Gebrauchsgegenstände auf ihre Bestandteile untersuchen
+
+Lebensmittel auf Rückstände (z.B. von Pflanzenschutzmitteln) prüfen; Wasser, Abfall, Boden und Luft im Hinblick auf Verunreinigungen analysieren
+
+neue Analyseverfahren entwickeln bzw. bestehende verbessern
+
+in wissenschaftlichen Gremien und Ausschüssen mitarbeiten
+
+ Lehrveranstaltungen durchführen; Vorträge im Bereich Lebensmittelchemie halten
+
+schriftliche Arbeiten korrigieren; Prüfungen abnehmen
--- a/references/profile.md
+++ b/references/profile.md
@@ -0,0 +1,21 @@
+# Occupation profile — food analyst
+
+- **ESCO URI:** http://data.europa.eu/esco/occupation/33fe4c90-c4fd-4860-bdc5-24fcab16f45a
+- **ESCO code:** 3111.3
+- **ISCO-08 group:** 3111 — Chemical and physical science technicians
+- **O*NET-SOC:** 19-4013.00 — Food Science Technicians (match: exactMatch)
+
+## Description (ESCO)
+
+Food analysts perform standardised tests to determine the chemical, physical, or microbiological features of products for human consumption.
+
+## Definition
+
+nan
+
+## Alternative labels
+
+- food researcher
+- food analysis expert
+- food research specialist
+- food analysis specialist
--- a/references/skills.md
+++ b/references/skills.md
@@ -0,0 +1,80 @@
+# Competences — food analyst
+
+Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/33fe4c90-c4fd-4860-bdc5-24fcab16f45a).
+
+## Essential
+
+- **analyse characteristics of food products at reception** (skill/competence)
+- **analyse samples of food and beverages** (skill/competence)
+- **apply GMP** (skill/competence)
+- **apply HACCP** (skill/competence)
+- **apply requirements concerning manufacturing of food and beverages** (skill/competence)
+- **assess quality characteristics of food products** (skill/competence)
+- **attend to detail regarding food and beverages** (skill/competence)
+- **blend food ingredients** (skill/competence)
+- **calibrate laboratory equipment** (skill/competence)
+- **collect samples for analysis** (skill/competence)
+- **conduct food tests** (skill/competence)
+- **ensure public safety and security** (skill/competence)
+- **follow hygienic procedures during food processing** (skill/competence)
+- **follow laboratory manuals** (skill/competence)
+- **food safety principles** (knowledge)
+- **food safety standards** (knowledge)
+- **food science** (knowledge)
+- **food toxicity** (knowledge)
+- **identify nutritional properties of food** (skill/competence)
+- **identify the factors causing changes in food during storage** (skill/competence)
+- **infections in food** (knowledge)
+- **ingredient threats** (knowledge)
+- **interpret data in food manufacturing** (skill/competence)
+- **keep food laboratory inventory** (skill/competence)
+- **keep up-to-date with regulations** (skill/competence)
+- **laboratory-based sciences** (knowledge)
+- **maintain laboratory equipment** (skill/competence)
+- **measure pH** (skill/competence)
+- **pathogenic microorganisms in food** (knowledge)
+- **perform physico-chemical analysis to food materials** (skill/competence)
+- **prepare visual data** (skill/competence)
+- **preserve samples** (skill/competence)
+- **pursue excellence in the creation of food products** (skill/competence)
+- **quality assurance methodologies** (knowledge)
+- **report test findings** (skill/competence)
+- **set quality assurance objectives** (skill/competence)
+
+## Optional
+
+- analyse packaging requirements (skill/competence)
+- analyse trends in the food and beverage industries (skill/competence)
+- analyse work-related written reports (skill/competence)
+- apply scientific methods (skill/competence)
+- assess environmental parameters at the workplace for food products (skill/competence)
+- assess shelf life of food products (skill/competence)
+- check bottles for packaging (skill/competence)
+- check quality of products on the production line (skill/competence)
+- conduct research on food waste prevention (skill/competence)
+- design indicators for food waste reduction (skill/competence)
+- detect microorganisms (skill/competence)
+- develop food waste reduction strategies (skill/competence)
+- develop new food products (skill/competence)
+- develop standard operating procedures in the food chain (skill/competence)
+- fermentation processes of food (knowledge)
+- follow evaluation procedures of materials at reception (skill/competence)
+- follow-up lab results (skill/competence)
+- food fraud (knowledge)
+- food homogenisation (knowledge)
+- food legislation (knowledge)
+- food products composition (knowledge)
+- investigate customer complaints of food products (skill/competence)
+- label samples (skill/competence)
+- mitigate waste of resources (skill/competence)
+- molecular gastronomy (knowledge)
+- monitor developments used for food industry (skill/competence)
+- participate in the development of new food products (skill/competence)
+- perform food risk analysis (skill/competence)
+- perform food safety checks (skill/competence)
+- perform microbiological analysis in food (skill/competence)
+- perform sensory evaluation of food products (skill/competence)
+- preserve milk samples (skill/competence)
+- risks associated to physical, chemical, biological hazards in food and beverages (knowledge)
+- statistics (knowledge)
+- write work-related reports (skill/competence)
--- a/references/tasks.md
+++ b/references/tasks.md
@@ -0,0 +1,39 @@
+# Tasks & work activities — food analyst
+
+Source: O*NET 30.3, occupation 19-4013.00 (Food Science Technicians).
+
+## Task statements
+
+- **[Core]** Maintain records of testing results or other documents as required by state or other governing agencies.
+- **[Core]** Monitor and control temperature of products.
+- **[Core]** Perform regular maintenance of laboratory equipment by inspecting, calibrating, cleaning, or sterilizing.
+- **[Core]** Train newly hired laboratory personnel.
+- **[Core]** Supervise other food science technicians.
+- **[Core]** Conduct standardized tests on food, beverages, additives, or preservatives to ensure compliance with standards and regulations regarding factors such as color, texture, or nutrients.
+- **[Core]** Provide assistance to food scientists or technologists in research and development, production technology, or quality control.
+- **[Core]** Compute moisture or salt content, percentages of ingredients, formulas, or other product factors, using mathematical and chemical procedures.
+- **[Core]** Record or compile test results or prepare graphs, charts, or reports.
+- **[Core]** Analyze test results to classify products or compare results with standard tables.
+- **[Core]** Taste or smell foods or beverages to ensure that flavors meet specifications or to select samples with specific characteristics.
+- **[Core]** Examine chemical or biological samples to identify cell structures or to locate bacteria or extraneous material, using a microscope.
+- **[Core]** Measure, test, or weigh bottles, cans, or other containers to ensure that hardness, strength, or dimensions meet specifications.
+- **[Core]** Order supplies needed to maintain inventories in laboratories or in storage facilities of food or beverage processing plants.
+- **[Supplemental]** Prepare or incubate slides with cell cultures.
+- **[Supplemental]** Mix, blend, or cultivate ingredients to make reagents or to manufacture food or beverage products.
+
+## Detailed work activities
+
+- Analyze chemical compounds or substances.
+- Clean objects.
+- Evaluate quality of materials or products.
+- Examine characteristics or behavior of living organisms.
+- Maintain laboratory or technical equipment.
+- Manage scientific or technical project resources.
+- Measure physical or chemical properties of materials or objects.
+- Prepare biological samples for testing or analysis.
+- Prepare compounds or solutions for products or testing.
+- Record research or operational data.
+- Research methods to improve food products.
+- Supervise laboratory work.
+- Test quality of materials or finished products.
+- Train personnel in technical or scientific procedures.
--- a/references/tools.md
+++ b/references/tools.md
@@ -0,0 +1,27 @@
+# Tools & technology — food analyst
+
+Source: O*NET 30.3 'Software Skills' for 19-4013.00.
+
+| Software | Category | Hot technology |
+|---|---|---|
+| SAS | Analytical or scientific software | yes |
+| Microsoft Access | Data base user interface and query software | yes |
+| Microsoft SQL Server | Data base user interface and query software | yes |
+| Microsoft Outlook | Electronic mail software | yes |
+| SAP software | Enterprise resource planning ERP software | yes |
+| Microsoft Office software | Office suite software | yes |
+| Linux | Operating system software | yes |
+| Microsoft PowerPoint | Presentation software | yes |
+| Microsoft Visio | Process mapping and design software | yes |
+| Microsoft Excel | Spreadsheet software | yes |
+| Microsoft Word | Word processing software | yes |
+| Oracle WebLogic Server | Application server software |  |
+| Red Hat WildFly | Application server software |  |
+| IBM WebSphere | Cloud-based management software |  |
+| Database software | Data base user interface and query software |  |
+| Structure query language SQL | Data base user interface and query software |  |
+| IBM Lotus Notes | Electronic mail software |  |
+| Graphical user interface GUI design software | Graphical user interface development software |  |
+| Graphics software | Graphics or photo imaging software |  |
+| Apache JMeter | Object or component oriented development software |  |
+| Apache Struts | Web platform development software |  |