feat: assayer skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:55:04 +02:00
commit a4f8f1643c
9 changed files with 951 additions and 0 deletions

31
PROVENANCE.md Normal file
View File

@@ -0,0 +1,31 @@
# Data provenance — assayer
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 — assayer
"ESCO (occupation & competences)" : 28
"O*NET (tasks & tools)" : 89
"Job boards (market evidence)" : 88
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 159
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 28 | 7.6 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 89 | 24.1 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 88 | 23.8 % | 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 | 1.4 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 159 | 43.1 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

53
SKILL.md Normal file
View File

@@ -0,0 +1,53 @@
---
name: assayer
description: "Occupational skill for the role 'assayer' (also: chemical analyst, gold assayer, precious metal assayer, metal tester, geo-science technician, silver assayer). Use when the user asks for typical assayer work such as: typical assayer responsibilities"
---
# Assayer
Assayers test and analyse precious metals such as silver and gold to determine the value and properties of components using chemical and physical techniques. They also seperate precious metals or other components from other materials.
## 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)
- analytical chemistry
- apply safety procedures in laboratory
- characteristics of precious metals
- chemical processes
- chemistry
- good laboratory practice
- handle chemicals
- identify customer's needs
- laboratory techniques
- metal and metal ore products
- perform laboratory tests
- precious metals
- separate metals from ores
- statistics
- test raw minerals
## Hot technologies
- Autodesk AutoCAD
- Autodesk AutoCAD Civil 3D
- Bentley MicroStation
- Microsoft Access
- Microsoft Excel
- Microsoft Office software
- Microsoft Outlook
- Microsoft PowerPoint
- Microsoft Project
- Microsoft SharePoint
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/808b5940-8092-4f08-bc37-9b60ee5761d8), O*NET 30.3 (17-2151.00, manual nearest match). See manifest.json for licensing/attribution.*

238
manifest.json Normal file
View File

@@ -0,0 +1,238 @@
{
"name": "assayer",
"title": "assayer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/808b5940-8092-4f08-bc37-9b60ee5761d8",
"esco_code": "2146.1",
"isco_group": "2146",
"onet_soc": "17-2151.00",
"crosswalk_match": "manual nearest via ISCO 2146 (Mining and Geological Engineers, Including Mining Safety Engineers)"
},
"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": 16,
"skills_optional": 11,
"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
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 5
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 8
},
"glittercowboy/taches-cc-resources": {
"repo": "https://github.com/glittercowboy/taches-cc-resources",
"commit": "1757615",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 8
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 5
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 5
},
"rsmdt/the-startup": {
"repo": "https://github.com/rsmdt/the-startup",
"commit": "ff6a0be",
"license": "MIT",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 5
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 2
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 2
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 2
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 10
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
},
"AgriciDaniel/claude-ads": {
"repo": "https://github.com/AgriciDaniel/claude-ads",
"commit": "669c760",
"license": "MIT",
"skills": 1
},
"ahacker-1/cre-agent-skills": {
"repo": "https://github.com/ahacker-1/cre-agent-skills",
"commit": "618734e",
"license": "Apache-2.0",
"skills": 2
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 3
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 1
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"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
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 7
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 1
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 1
},
"snyk/agent-scan": {
"repo": "https://github.com/snyk/agent-scan",
"commit": "f3a4621",
"license": "Apache-2.0",
"skills": 1
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 28,
"onet": 89,
"jobads": 88,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 159,
"stackx": 0
},
"share_percent": {
"esco": 7.6,
"onet": 24.1,
"jobads": 23.8,
"wiki_ai": 0.0,
"anthropic": 1.4,
"ai_skills": 43.1,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

322
references/ai-skills.md Normal file
View File

@@ -0,0 +1,322 @@
# External AI agent skills — assayer
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 |
|---|---|---|---|
| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
| `statistical-testing` | core | Apply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/statistical-testing) |
| `pandas-dataframe-analyzer` | core | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
| `root-cause-analyzer` | core | Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/operations/skills/root-cause-analyzer) |
| `A/B Test Design` | core | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
## Source: aaron-he-zhu/aaron-marketing-skills
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `content-gap-analysis` | core | Use when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/seo-geo/research/content-gap-analysis) |
## Source: AgriciDaniel/claude-ads
- Repository: [https://github.com/AgriciDaniel/claude-ads](https://github.com/AgriciDaniel/claude-ads) (commit `669c760`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ads-test` | core | Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, … | [source](https://github.com/AgriciDaniel/claude-ads/tree/669c760/skills/ads-test) |
## 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-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-strategy) |
| `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: ahacker-1/cre-agent-skills
- Repository: [https://github.com/ahacker-1/cre-agent-skills](https://github.com/ahacker-1/cre-agent-skills) (commit `618734e`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cre-office` | core | CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-office) |
| `cre-underwriting` | core | CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-underwriting) |
## Source: basicmachines-co/basic-memory
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
## Source: 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 |
|---|---|---|---|
| `statistics-skills` | core | 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics) |
| `choosing-causalpy-methods` | core | Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions. Use before writing analysis code when the method is not yet settled. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods) |
| `data-scientist` | core | Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Method selection guidance. For syntax, load tool-specific … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist) |
| `law-skills` | core | 9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law) |
| `lifelines` | core | Complete survival analysis library in Python. Handles right-censored data, Kaplan-Meier curves, and Cox regression. Standard for clinical trial analysis and epidemiology. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/63-tondevrel-scientific-agent-skills/lifelines) |
| `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) |
| `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-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) |
## Source: davepoon/buildwithclaude
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/docx) |
## 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) |
| `pydeseq2` | core | Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pydeseq2) |
| `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) |
| `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) |
| `chembl-database` | core | Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/chembl-database) |
| `fda-database` | core | Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/fda-database) |
| `medchem` | core | Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/medchem) |
| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/statistical-analysis) |
| `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) |
| `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: ferdinandobons/startup-skill
- Repository: [https://github.com/ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill) (commit `a5f97c3`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `startup-design` | core | Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup … | [source](https://github.com/ferdinandobons/startup-skill/tree/a5f97c3/startup-design) |
## 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 |
|---|---|---|---|
| `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) |
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill that establishes text-based diagrams as the DEFAULT documentation standard. Use this skill when creating ANY scientific document, report, analysis, or visualization — it ensures all … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/markdown-mermaid-writing) |
| `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) |
| `matlab` | core | MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/matlab) |
| `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) |
| `scientific-data-preprocessing` | core | ⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-data-preprocessing) |
| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statistical-analysis) |
| `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: glittercowboy/taches-cc-resources
- Repository: [https://github.com/glittercowboy/taches-cc-resources](https://github.com/glittercowboy/taches-cc-resources) (commit `1757615`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `debug-like-expert` | core | Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic … | [source](https://github.com/glittercowboy/taches-cc-resources/tree/1757615/skills/debug-like-expert) |
## 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 |
|---|---|---|---|
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-strategy) |
| `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 |
|---|---|---|---|
| `excel-variance-analyzer` | core | Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like ''excel variance'', ''analyze budget variance'', … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-variance-analyzer) |
| `perplexity-advanced-troubleshooting` | core | Apply advanced debugging techniques for hard-to-diagnose Perplexity Sonar API issues. Use when standard troubleshooting fails, investigating inconsistent citations, or preparing evidence for support escalation. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-advanced-troubleshooting) |
| `excel-lbo-modeler` | core | Build leveraged buyout (LBO) models in Excel with debt schedules and IRR analysis. Use when structuring LBO transactions or analyzing PE returns. Trigger with phrases like ''excel lbo'', ''build lbo model'', ''calculate pe returns''. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler) |
## 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 |
|---|---|---|---|
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
| `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) |
| `hypogenic` | core | Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hypogenic) |
| `matlab` | core | MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/matlab) |
| `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) |
## 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 |
|---|---|---|---|
| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
| `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) |
| `hypogenic` | core | Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hypogenic) |
| `matlab` | core | MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/matlab) |
| `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) |
## Source: ljagiello/ctf-skills
- Repository: [https://github.com/ljagiello/ctf-skills](https://github.com/ljagiello/ctf-skills) (commit `d19f35f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ctf-forensics` | core | Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-forensics) |
## 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-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) |
| `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-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) |
## 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-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
## Source: OpenSenseNova/SenseNova-Skills
- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `category-filtering-and-difficulty-analysis` | core | 对Excel数据进行自定义分类统计、交叉分析与可视化并基于多维度指标如文本长度、术语密度、正则匹配等进行综合评分与分级适用于多类别数据分布统计及文本内容难度/质量评估场景。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-filtering/category-filtering) |
| `dynamic-large-file-parquet-analysis` | core | 动态统计Excel总行数当数据量过大≥10000行时自动转换为Parquet格式加速读取并对指定目标列进行条件筛选、分类汇总与结果导出适用于超大体积Excel文件的快速读取与统计分析。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-table-styling/table-theme-styling) |
| `dynamic-percentage-and-large-file-analysis` | core | 根据文件行数动态切换大文件处理策略Parquet转换通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量最终输出结构化Excel报告及可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-statistics/percentage-calculation) |
| `excel-data-analysis-and-report-generation` | core | 从Excel提取多类型数据并生成包含可视化图表与下载链接的综合分析报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-result-export/report-generation-export) |
| `excel-multi-sheet-dynamic-analysis` | core | 用于分析包含多个Sheet的Excel文件动态判断数据量级以决定是否转换为Parquet进行大文件处理并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化最终生成带下载链接的汇总报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/specific-sheet-reading) |
| `excel-multi-sheet-threshold-analysis` | core | 统计多Sheet Excel总行数并根据规模选择处理策略提取特定维度信息进行去重统计并生成摘要与明细报表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/duplicate-removal) |
| `excel-smart-analysis-and-cleaning` | core | 对多 Sheet Excel 进行智能清洗、跨表核对与可视化分析。。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/missing-value-handling) |
## 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 |
|---|---|---|---|
| `experiment-design` | core | A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/experiment-design) |
| `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: rsmdt/the-startup
- Repository: [https://github.com/rsmdt/the-startup](https://github.com/rsmdt/the-startup) (commit `ff6a0be`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `requirements-elicitation` | core | Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with … | [source](https://github.com/rsmdt/the-startup/tree/ff6a0be/plugins/team/skills/cross-cutting/requirements-elicitation) |
## 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: snyk/agent-scan
- Repository: [https://github.com/snyk/agent-scan](https://github.com/snyk/agent-scan) (commit `f3a4621`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/snyk/agent-scan/tree/f3a4621/tests/skills/docx) |
## Source: ThinkInAIXYZ/deepchat
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/docx) |
## Source: zebbern/claude-code-guide
- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `regression-modeler` | core | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |

116
references/market.md Normal file
View File

@@ -0,0 +1,116 @@
# Market evidence report — assayer
Source: **56 real job ads** (JSearch API, countries: us 56), extracted into the MSSQL evidence store; as of 2026-07-09.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 39 | 70 % |
| senior | 8 | 14 % |
| junior | 7 | 12 % |
| n/a | 2 | 4 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | HPLC | 11 | 20 % |
| 2 | Microsoft Excel | 9 | 16 % |
| 3 | FTIR | 7 | 12 % |
| 4 | GC | 7 | 12 % |
| 5 | LIMS | 6 | 11 % |
| 6 | Microsoft Office | 6 | 11 % |
| 7 | Microsoft Word | 6 | 11 % |
| 8 | GC/MS | 4 | 7 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 18 | 32 % |
| 2 | chemical analysis | 13 | 23 % |
| 3 | analytical testing | 10 | 18 % |
| 4 | troubleshooting | 10 | 18 % |
| 5 | sample preparation | 9 | 16 % |
| 6 | analytical chemistry | 7 | 12 % |
| 7 | method validation | 7 | 12 % |
| 8 | data entry | 6 | 11 % |
| 9 | assay development | 5 | 9 % |
| 10 | laboratory documentation | 5 | 9 % |
| 11 | method development | 5 | 9 % |
| 12 | quality control | 5 | 9 % |
| 13 | analytical method development | 4 | 7 % |
| 14 | laboratory operations | 4 | 7 % |
| 15 | laboratory procedures | 4 | 7 % |
| 16 | wet chemistry | 4 | 7 % |
| 17 | assay validation | 3 | 5 % |
| 18 | method transfer | 3 | 5 % |
| 19 | regulatory compliance | 3 | 5 % |
| 20 | sop writing | 3 | 5 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | GLP | 5 | 9 % |
| 2 | GMP | 5 | 9 % |
| 3 | cGMP | 4 | 7 % |
| 4 | good laboratory practices (GLP) | 3 | 5 % |
| 5 | good manufacturing practices (GMP) | 3 | 5 % |
| 6 | high-throughput screening | 3 | 5 % |
| 7 | standard operating procedures (SOP) | 3 | 5 % |
| 8 | standard operating procedures (SOPs) | 3 | 5 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data documentation | 6 | 11 % |
| 2 | sample analysis | 6 | 11 % |
| 3 | instrument maintenance | 5 | 9 % |
| 4 | instrument operation | 5 | 9 % |
| 5 | instrument calibration | 4 | 7 % |
| 6 | laboratory maintenance | 4 | 7 % |
| 7 | report preparation | 4 | 7 % |
| 8 | assay optimization | 3 | 5 % |
| 9 | data entry | 3 | 5 % |
| 10 | equipment calibration | 3 | 5 % |
| 11 | equipment maintenance | 3 | 5 % |
| 12 | method development | 3 | 5 % |
| 13 | reagent preparation | 3 | 5 % |
| 14 | record maintenance | 3 | 5 % |
## Job title variants in the market
| Title | Ads |
|---|---|
| Chemical Analyst | 3 |
| Quality Control Chemist | 3 |
| Analytical Chemist | 2 |
| Assay Development Specialist - Histology | 2 |
| Entry Level Chemical Analyst | 2 |
| Laboratory Analyst | 2 |
| Analyst 1 | 1 |
| Analyst, Chemical | 1 |
| Analyst, Chemical Job Details | corbion | 1 |
| Analytical Chemist Method Development & Validation | 1 |
| Analytical Chemistry Laboratory Technician / Research Tec 4/5 | 1 |
| Analytical Lab Chemist | 1 |
| Analytical Science and Technology Senior Scientist | 1 |
| Assay Development Scientist | 1 |
| Assay Development Scientist - Princeton, NJ | 1 |
| Associate Analytical Chemist (Special Analysis) - 3rd Shift | 1 |
| Associate Scientist - Assay Development | 1 |
| Chemical Analyst - Aerofil | 1 |
| Chemical Analyst (Entry Level) | 1 |
| Chemical Lab Analyst | 1 |
| Chemical Laboratory Technician | 1 |
| Chemist I | 1 |
| Chemist/Analytical Chemist/QC Analyst | 1 |
| Chemistry Analyst - Entry Level | 1 |
| Chemistry Analyst/Lab Analyst | 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.

27
references/profile.md Normal file
View File

@@ -0,0 +1,27 @@
# Occupation profile — assayer
- **ESCO URI:** http://data.europa.eu/esco/occupation/808b5940-8092-4f08-bc37-9b60ee5761d8
- **ESCO code:** 2146.1
- **ISCO-08 group:** 2146 — Mining engineers, metallurgists and related professionals
## Description (ESCO)
Assayers test and analyse precious metals such as silver and gold to determine the value and properties of components using chemical and physical techniques. They also seperate precious metals or other components from other materials.
## Definition
nan
## Alternative labels
- chemical analyst
- gold assayer
- precious metal assayer
- metal tester
- geo-science technician
- silver assayer
- assay laboratory technician
- fire assayer
- mining assayer
- metal assayer
- mineralogy assayer

49
references/skills.md Normal file
View File

@@ -0,0 +1,49 @@
# Competences — assayer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/808b5940-8092-4f08-bc37-9b60ee5761d8).
## Essential
- **analytical chemistry** (knowledge)
- **apply safety procedures in laboratory** (skill/competence)
- **characteristics of precious metals** (knowledge)
- **chemical processes** (knowledge)
- **chemistry** (knowledge)
- **good laboratory practice** (knowledge)
- **handle chemicals** (skill/competence)
- **identify customer's needs** (skill/competence)
- **laboratory techniques** (knowledge)
- **metal and metal ore products** (knowledge)
- **perform laboratory tests** (skill/competence)
- **precious metals** (knowledge)
- **separate metals from ores** (skill/competence)
- **statistics** (knowledge)
- **test raw minerals** (skill/competence)
- **use chemical analysis equipment** (skill/competence)
## Optional
- geology (knowledge)
- heat jewellery metals (skill/competence)
- jewellery processes (knowledge)
- label samples (skill/competence)
- manage chemical testing procedures (skill/competence)
- manufacturing of jewellery (knowledge)
- physics (knowledge)
- prepare chemical samples (skill/competence)
- record test data (skill/competence)
- report test findings (skill/competence)
- supervise laboratory operations (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 56 ads, as of 2026-07-09)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **32 %**
- chemical analysis — **23 %**
<!-- market-evidence -->

52
references/tasks.md Normal file
View File

@@ -0,0 +1,52 @@
# Tasks & work activities — assayer
Source: O*NET 30.3, occupation 17-2151.00 (Mining and Geological Engineers, Including Mining Safety Engineers) — manual nearest-occupation mapping via ISCO group 2146; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Supervise, train, and evaluate technicians, technologists, survey personnel, engineers, scientists or other mine personnel.
- **[Core]** Inspect mining areas for unsafe structures, equipment, and working conditions.
- **[Core]** Select locations and plan underground or surface mining operations, specifying processes, labor usage, and equipment that will result in safe, economical, and environmentally sound extraction of minerals and ores.
- **[Core]** Examine maps, deposits, drilling locations, or mines to determine the location, size, accessibility, contents, value, and potential profitability of mineral, oil, and gas deposits.
- **[Core]** Prepare schedules, reports, and estimates of the costs involved in developing and operating mines.
- **[Core]** Monitor mine production rates to assess operational effectiveness.
- **[Core]** Design, implement, and monitor the development of mines, facilities, systems, or equipment.
- **[Core]** Select or develop mineral location, extraction, and production methods, based on factors such as safety, cost, and deposit characteristics.
- **[Core]** Prepare technical reports for use by mining, engineering, and management personnel.
- **[Supplemental]** Implement and coordinate mine safety programs, including the design and maintenance of protective and rescue equipment and safety devices.
- **[Supplemental]** Test air to detect toxic gases and recommend measures to remove them, such as installation of ventilation shafts.
- **[Supplemental]** Design, develop, and implement computer applications for use in mining operations such as mine design, modeling, or mapping or for monitoring mine conditions.
- **[Supplemental]** Select or devise materials-handling methods and equipment to transport ore, waste materials, and mineral products efficiently and economically.
- **[Supplemental]** Devise solutions to problems of land reclamation and water and air pollution, such as methods of storing excavated soil and returning exhausted mine sites to natural states.
- **[Supplemental]** Lay out, direct, and supervise mine construction operations, such as the construction of shafts and tunnels.
- **[Supplemental]** Evaluate data to develop new mining products, equipment, or processes.
- **[Supplemental]** Conduct or direct mining experiments to test or prove research findings.
- **[Supplemental]** Design mining and mineral treatment equipment and machinery in collaboration with other engineering specialists.
## Detailed work activities
- Advise others on health and safety issues.
- Analyze design or requirements information for mechanical equipment or systems.
- Conduct research to inform art, designs, or other work.
- Coordinate safety or regulatory compliance activities.
- Design industrial equipment.
- Design structures or facilities.
- Determine operational methods.
- Develop software or computer applications.
- Develop technical methods or processes.
- Direct construction activities.
- Estimate operational costs.
- Inspect facilities or sites to determine if they meet specifications or standards.
- Investigate safety of work environment.
- Monitor the productivity or efficiency of industrial operations.
- Prepare detailed work plans.
- Prepare operational reports.
- Prepare technical reports for internal use.
- Research industrial processes or operations.
- Research topics in area of expertise.
- Resolve operational performance problems.
- Review technical documents to plan work.
- Schedule operational activities.
- Select tools, equipment, or technologies for use in operations or projects.
- Supervise engineering or other technical personnel.
- Train personnel on proper operational procedures.

63
references/tools.md Normal file
View File

@@ -0,0 +1,63 @@
# Tools & technology — assayer
Source: O*NET 30.3, occupation 17-2151.00 (Mining and Geological Engineers, Including Mining Safety Engineers) — manual nearest-occupation mapping via ISCO group 2146; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Autodesk AutoCAD | Computer aided design CAD software | yes |
| Autodesk AutoCAD Civil 3D | Computer aided design CAD software | yes |
| Bentley MicroStation | Computer aided design CAD software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft SharePoint | Document management software | yes |
| Microsoft Windows | Operating system software | yes |
| Microsoft Word | Word processing software | yes |
| MySQL | Data base user interface and query software | yes |
| Oracle Database | Data base user interface and query software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Business software applications | Office suite software | |
| Carlson SurvCADD | Computer aided design CAD software | |
| Computer aided design and drafting CADD software | Computer aided design CAD software | |
| CyberArk | Network security or virtual private network VPN management software | |
| Gemcom PCBC | Analytical or scientific software | |
| Gemcom Surpac | Analytical or scientific software | |
| Gemcom Whittle | Analytical or scientific software | |
| Geographic information system GIS systems | Geographic information system | |
| GEO-SLOPE GeoStudio | Analytical or scientific software | |
| GijimaAst Mining Solutions International Mine2-4D | Data base user interface and query software | |
| Hellman & Schofield MP3 | Analytical or scientific software | |
| Maptek Vulcan | Analytical or scientific software | |
| Mincom MineScape | Data base user interface and query software | |
| Minemax iGantt | Data base user interface and query software | |
| MineSight | Analytical or scientific software | |
| Modular Mining Systems DISPATCH | Analytical or scientific software | |
| Ohio Automation Integrated Computer Aided Mine Planning System ICAMPS | Analytical or scientific software | |
| Oracle JD Edwards EnterpriseOne | Enterprise resource planning ERP software | |
| Oracle Primavera Systems | Project management software | |
| Overland Conveyor Belt Analyst | Analytical or scientific software | |
| Promine | Computer aided design CAD software | |
| RungePincockMinarco XERAS | Financial analysis software | |
| RungePincockMinarco XPAC | Analytical or scientific software | |
| Schlumberger PIPESIM | Analytical or scientific software | |
| Site mapping software | Map creation software | |
| Statistical software | Analytical or scientific software | |
| Structure query language SQL | Data base user interface and query software | |
| Trimble Geomatics Office | Analytical or scientific software | |
| Ventsim | Analytical or scientific software | |
| VMware | Clustering software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 56 ads, as of 2026-07-09)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- HPLC — **20 %**
<!-- market-evidence -->