feat: gambling-games-developer skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:45:55 +02:00
commit 80388e541d
9 changed files with 1036 additions and 0 deletions

31
PROVENANCE.md Normal file
View File

@@ -0,0 +1,31 @@
# Data provenance — gambling-games-developer
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 — gambling-games-developer
"ESCO (occupation & competences)" : 35
"O*NET (tasks & tools)" : 107
"Job boards (market evidence)" : 62
"Anthropic official Claude skills" : 6
"External AI skill packs (mapped)" : 173
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 35 | 9.1 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 107 | 27.9 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 62 | 16.2 % | 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 | 1.6 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 173 | 45.2 % | 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: gambling-games-developer
description: "Occupational skill for the role 'gambling games developer' (also: betting games developer, lottery game designer and producer, game content developer, HTML canvas game developer, gambling designer, betting game designer). Use when the user asks for typical gambling games developer work such as: typical gambling games developer responsibilities"
---
# Gambling Games Developer
Gambling games developers create, develop and produce content for lottery, betting and similar gambling games for large audiences.
## 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)
- adapt to changing situations
- apply gaming psychology
- create gambling games concepts
- CryEngine
- develop gambling games
- develop virtual game engine
- digital game creation systems
- follow ethical code of conduct of gambling
- Frostbite (digital game creation systems)
- games rules
- id Tech
- legal standards in gambling
- operate games
- player logic
- solve problems in gambling through digital means
## Hot technologies
- Amazon Redshift
- Amazon Web Services AWS software
- Apache Hadoop
- Apache Spark
- C++
- Extensible markup language XML
- IBM DB2
- IBM SPSS Statistics
- Linux
- Microsoft Access
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/18552245-3c36-4a52-b4c6-295cabb5c93b), O*NET 30.3 (15-2041.00, manual nearest match). See manifest.json for licensing/attribution.*

268
manifest.json Normal file
View File

@@ -0,0 +1,268 @@
{
"name": "gambling-games-developer",
"title": "gambling games developer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/18552245-3c36-4a52-b4c6-295cabb5c93b",
"esco_code": "2120.3",
"isco_group": "2120",
"onet_soc": "15-2041.00",
"crosswalk_match": "manual nearest via ISCO 2120 (Statisticians)"
},
"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": 19,
"skills_optional": 15,
"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": 3
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 10
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 1
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 2
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 5
},
"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
},
"jeffallan/claude-skills": {
"repo": "https://github.com/jeffallan/claude-skills",
"commit": "e8be415",
"license": "MIT",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 3
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 12
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 5
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 1
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 3
},
"snyk/agent-scan": {
"repo": "https://github.com/snyk/agent-scan",
"commit": "f3a4621",
"license": "Apache-2.0",
"skills": 3
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 3
},
"softaworks/agent-toolkit": {
"repo": "https://github.com/softaworks/agent-toolkit",
"commit": "3027f20",
"license": "MIT",
"skills": 1
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 4
},
"DheerG/swarms": {
"repo": "https://github.com/DheerG/swarms",
"commit": "617900e",
"license": "MIT",
"skills": 1
},
"alinaqi/claude-bootstrap": {
"repo": "https://github.com/alinaqi/claude-bootstrap",
"commit": "f61ec87",
"license": "MIT",
"skills": 1
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 1
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 1
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"pedrohcgs/claude-code-my-workflow": {
"repo": "https://github.com/pedrohcgs/claude-code-my-workflow",
"commit": "be53c12",
"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": 1
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 77,
"adjacent": 3
}
},
"provenance": {
"items": {
"esco": 35,
"onet": 107,
"jobads": 62,
"wiki_ai": 0,
"anthropic": 6,
"ai_skills": 173,
"stackx": 0
},
"share_percent": {
"esco": 9.1,
"onet": 27.9,
"jobads": 16.2,
"wiki_ai": 0.0,
"anthropic": 1.6,
"ai_skills": 45.2,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

362
references/ai-skills.md Normal file
View File

@@ -0,0 +1,362 @@
# External AI agent skills — gambling-games-developer
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) |
| `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) |
| `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 |
|---|---|---|---|
| `quantitative-methods` | core | Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods) |
| `simulation-experiment-designer` | core | Simulation experimental design skill for efficient scenario analysis and optimization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/simulation-experiment-designer) |
| `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) |
| `doe-designer` | core | Design of Experiments planning and analysis skill for factorial and response surface experiments. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/doe-designer) |
| `meta-analysis-engine` | core | Skill for conducting meta-analyses of research findings | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/meta-analysis-engine) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `content-engine` | core | Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/content-engine) |
| `ck` | core | Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/ck) |
## 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) |
## 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) |
## Source: alinaqi/claude-bootstrap
- Repository: [https://github.com/alinaqi/claude-bootstrap](https://github.com/alinaqi/claude-bootstrap) (commit `f61ec87`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `code-graph` | core | AST-based code graph for fast symbol lookup, dependency analysis, and blast radius via codebase-memory-mcp MCP server | [source](https://github.com/alinaqi/claude-bootstrap/tree/f61ec87/skills/code-graph) |
## Source: basicmachines-co/basic-memory
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
- License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `aer-statspai` | core | Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/50-brycewang-aer-skills/skills/aer-statspai) |
| `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) |
| `psychology-research-guide` | core | Psychological research methods, experimental design, and analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/psychology-research-guide) |
| `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) |
| `metadata-skills` | core | 24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/literature/metadata) |
| `universal-ma-codebook` | core | Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/universal-ma-codebook) |
| `deep-research-skills` | core | 13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/deep-research) |
| `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) |
| `econ-audit` | core | Audit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/58-charlescoverdale-econstack/econ-audit) |
| `research-ideation` | core | This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/research-ideation) |
## 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) |
| `pptx` | core | Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/pptx) |
| `xlsx` | core | Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/xlsx) |
## 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 |
|---|---|---|---|
| `cirq` | core | Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cirq) |
| `qutip` | core | Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/qutip) |
| `scientific-critical-thinking` | core | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
| `trigger-dev` | core | Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/workflow-automation/trigger-dev) |
| `cobrapy` | core | Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cobrapy) |
| `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) |
| `marp-slide` | core | Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/creative-design/marp-slide) |
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/simpy) |
| `scientific-brainstorming` | core | Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-brainstorming) |
| `scikit-survival` | core | Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scikit-survival) |
| `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) |
| `anndata` | core | This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/anndata) |
## Source: DheerG/swarms
- Repository: [https://github.com/DheerG/swarms](https://github.com/DheerG/swarms) (commit `617900e`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `workflow-rules` | core | Returns the universal governance spec for swarm team runs — hard rules, briefing templates, gate presentation contract, launch mechanics, and pulse setup. The canonical source: invoked by launch.md at Step 1 and by user-authored shortcut … | [source](https://github.com/DheerG/swarms/tree/617900e/skills/workflow-rules) |
## Source: dotnet/skills
- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `exp-mock-usage-analysis` | core | Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks. Use when the user asks to audit mock usage, find unused or unnecessary mock … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-experimental/skills/exp-mock-usage-analysis) |
## Source: 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) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
| `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) |
| `property-based-testing` | core | Property-based testing with fast-check (TypeScript/JavaScript) and Hypothesis (Python). Generate test cases automatically, find edge cases, and test mathematical properties. Use when user mentions property-based testing, fast-check, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/property-based-testing) |
| `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) |
## Source: HeshamFS/materials-simulation-skills
- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `parameter-optimization` | core | Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/parameter-optimization) |
## Source: hypnguyen1209/offensive-claude
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `vulnerability-analysis` | core | Use when auditing source code for vulnerabilities — drive CodeQL/Semgrep/Joern to taint untrusted data source-to-sink across injection, memory safety, deserialization/prototype-pollution, secrets/crypto/authz/race, and supply-chain risks | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/vulnerability-analysis) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `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) |
## 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 |
|---|---|---|---|
| `057-design-feature-toggles` | core | Use when designing, implementing, reviewing, testing, or cleaning up feature toggles, feature flags, kill switches, runtime configuration gates, canary controls, staged rollouts, experiments, or temporary compatibility switches in Java … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/057-design-feature-toggles) |
## Source: jeffallan/claude-skills
- Repository: [https://github.com/jeffallan/claude-skills](https://github.com/jeffallan/claude-skills) (commit `e8be415`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `chaos-engineer` | core | Designs chaos experiments, creates failure injection frameworks, and facilitates game day exercises for distributed systems — producing runbooks, experiment manifests, rollback procedures, and post-mortem templates. Use when designing … | [source](https://github.com/jeffallan/claude-skills/tree/e8be415/skills/chaos-engineer) |
## 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 |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/adaptyv) |
| `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 |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/adaptyv) |
| `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 |
|---|---|---|---|
| `performing-endpoint-forensics-investigation` | core | Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-endpoint-forensics-investigation) |
| `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-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) |
| `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) |
## Source: nexu-io/open-design
- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `marketing-psychology` | core | Apply psychological principles and behavioral science to copy and design. Useful for tightening hooks, framing, and pricing presentation. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/marketing-psychology) |
## 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) |
| `nw-persona-jtbd-analysis` | core | Structured persona creation and JTBD analysis methodology - persona templates, ODI job step tables, pain point mapping, success metric quantification, and multi-persona segmentation | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-persona-jtbd-analysis) |
## Source: pedrohcgs/claude-code-my-workflow
- Repository: [https://github.com/pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) (commit `be53c12`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `coauthor-brief` | core | Generate a co-author / collaborator handoff brief for a multi-author, multi-machine project — summarizing what changed since the last brief (git delta), the current state of each artifact (manuscript, analysis, slides), open questions, how … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/coauthor-brief) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
| `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) |
| `data-warehouse-experimentation` | core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
## Source: rohitg00/skillkit
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `root-cause-analysis` | core | Performs systematic root cause analysis to identify the true source of bugs, errors, and unexpected behavior through structured investigation phases — not just treating symptoms. Use when a user reports a bug, crash, error, or broken … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/debugging/root-cause-analysis) |
## Source: sanjay3290/ai-skills
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/deep-research) |
## 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) |
| `pptx` | core | Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, … | [source](https://github.com/snyk/agent-scan/tree/f3a4621/tests/skills/pptx) |
| `xlsx` | core | Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new … | [source](https://github.com/snyk/agent-scan/tree/f3a4621/tests/skills/xlsx) |
## Source: softaworks/agent-toolkit
- Repository: [https://github.com/softaworks/agent-toolkit](https://github.com/softaworks/agent-toolkit) (commit `3027f20`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `marp-slide` | core | Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image … | [source](https://github.com/softaworks/agent-toolkit/tree/3027f20/skills/marp-slide) |
## 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) |
| `pptx` | core | Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, … | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/pptx) |
| `xlsx` | core | Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new … | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/xlsx) |

61
references/market.md Normal file
View File

@@ -0,0 +1,61 @@
# Market evidence report — gambling-games-developer
Source: **5 real job ads** (JSearch API, countries: gb 5), extracted into the MSSQL evidence store; as of 2026-07-12.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 3 | 60 % |
| senior | 2 | 40 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Regional breakdown
> **Corpus note:** 5 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 5 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### EU/DACH (de, at, ch, nl)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
## Job title variants in the market
| Title | Ads |
|---|---|
| Mathematician | 1 |
| Principal Casino Game Designer | 1 |
| REMOTE JavaScript Developer | 1 |
| Senior Casino Game Designer — AI-Driven, High-Impact Hits | 1 |
| Senior Casino Game Designer — Mandarin & English | 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.

23
references/profile.md Normal file
View File

@@ -0,0 +1,23 @@
# Occupation profile — gambling games developer
- **ESCO URI:** http://data.europa.eu/esco/occupation/18552245-3c36-4a52-b4c6-295cabb5c93b
- **ESCO code:** 2120.3
- **ISCO-08 group:** 2120 — Mathematicians, actuaries and statisticians
## Description (ESCO)
Gambling games developers create, develop and produce content for lottery, betting and similar gambling games for large audiences.
## Definition
nan
## Alternative labels
- betting games developer
- lottery game designer and producer
- game content developer
- HTML canvas game developer
- gambling designer
- betting game designer
- lottery games developer

98
references/skills.md Normal file
View File

@@ -0,0 +1,98 @@
# Competences — gambling games developer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/18552245-3c36-4a52-b4c6-295cabb5c93b).
## Essential
- **adapt to changing situations** (skill/competence)
- **apply gaming psychology** (skill/competence)
- **create gambling games concepts** (skill/competence)
- **CryEngine** (knowledge)
- **develop gambling games** (skill/competence)
- **develop virtual game engine** (skill/competence)
- **digital game creation systems** (knowledge)
- **follow ethical code of conduct of gambling** (skill/competence)
- **Frostbite (digital game creation systems)** (knowledge)
- **games rules** (knowledge)
- **id Tech** (knowledge)
- **legal standards in gambling** (knowledge)
- **operate games** (skill/competence)
- **player logic** (knowledge)
- **solve problems in gambling through digital means** (skill/competence)
- **Source (digital game creation systems)** (knowledge)
- **Unity (digital game creation systems)** (knowledge)
- **Unreal Engine** (knowledge)
- **use specialised design software** (skill/competence)
## Optional
- adapt developed game to the market (skill/competence)
- data protection (knowledge)
- demonstrate games (skill/competence)
- Gamemaker Studio (knowledge)
- GameSalad (knowledge)
- Havok Vision (knowledge)
- HeroEngine (knowledge)
- ICT software specifications (knowledge)
- multimedia systems (knowledge)
- Project Anarchy (knowledge)
- RAGE (digital game creation systems) (knowledge)
- report gaming incidents (skill/competence)
- respect cultural preferences (skill/competence)
- Shiva (digital game creation systems) (knowledge)
- sports competition information (knowledge)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 5 ads, as of 2026-07-12)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- game design — **40 %**
- game mathematics — **20 %**
- data analysis — **20 %**
- experience design — **20 %**
- gambling game design — **20 %**
- animation implementation — **20 %**
- casino game design — **20 %**
- class-based coding — **20 %**
- game mechanics — **20 %**
- game mechanics definition — **20 %**
- gameplay experience creation — **20 %**
- html5 development — **20 %**
- javascript development — **20 %**
- market analysis — **20 %**
- mathematical modeling — **20 %**
- mechanics knowledge — **20 %**
- oop implementation — **20 %**
- particle system implementation — **20 %**
- probability theory — **20 %**
- problem solving — **20 %**
- simulation framework creation — **20 %**
- statistical analysis — **20 %**
### Responsibilities
- team collaboration — **20 %**
- regulatory compliance — **20 %**
- rewarding experience creation — **20 %**
- pay table development — **20 %**
- model design — **20 %**
- market trend analysis — **20 %**
- mathematical documentation production — **20 %**
- major title success driving — **20 %**
- industry trend analysis — **20 %**
- game performance metric definition — **20 %**
- game vision ownership — **20 %**
- code implementation — **20 %**
- collaboration with international teams — **20 %**
- bonus feature design — **20 %**
- game creation — **20 %**
- design direction shaping — **20 %**
- development problem resolution — **20 %**
- game mechanic design — **20 %**
- game design — **20 %**
<!-- market-evidence -->

45
references/tasks.md Normal file
View File

@@ -0,0 +1,45 @@
# Tasks & work activities — gambling games developer
Source: O*NET 30.3, occupation 15-2041.00 (Statisticians) — manual nearest-occupation mapping via ISCO group 2120; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Report results of statistical analyses in peer-reviewed papers and technical manuals.
- **[Core]** Develop software applications or programming for statistical modeling and graphic analysis.
- **[Core]** Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
- **[Core]** Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- **[Supplemental]** Prepare and structure data warehouses for storing data.
- **[Core]** Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- **[Core]** Process large amounts of data for statistical modeling and graphic analysis, using computers.
- **[Core]** Identify relationships and trends in data, as well as any factors that could affect the results of research.
- **[Core]** Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- **[Core]** Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- **[Core]** Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- **[Core]** Evaluate sources of information to determine any limitations, in terms of reliability or usability.
- **[Core]** Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
- **[Core]** Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
- **[Core]** Supervise and provide instructions for workers collecting and tabulating data.
- **[Core]** Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.
- **[Core]** Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- **[Core]** Develop and test experimental designs, sampling techniques, and analytical methods.
- **[Core]** Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
## Detailed work activities
- Analyze data to identify trends or relationships among variables.
- Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
- Design research studies to obtain scientific information.
- Design software applications.
- Determine appropriate methods for data analysis.
- Evaluate data quality.
- Evaluate project designs to determine adequacy or feasibility.
- Evaluate technical data to determine effect on designs or plans.
- Implement security measures for computer or information systems.
- Install computer software.
- Prepare analytical reports.
- Prepare data for analysis.
- Prepare graphics or other visual representations of information.
- Present research results to others.
- Supervise information technology personnel.
- Update knowledge about emerging industry or technology trends.
- Write computer programming code.

95
references/tools.md Normal file
View File

@@ -0,0 +1,95 @@
# Tools & technology — gambling games developer
Source: O*NET 30.3, occupation 15-2041.00 (Statisticians) — manual nearest-occupation mapping via ISCO group 2120; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Amazon Redshift | Data base user interface and query software | yes |
| Amazon Web Services AWS software | Data base user interface and query software | yes |
| Apache Hadoop | Data base management system software | yes |
| Apache Spark | Business intelligence and data analysis software | yes |
| C++ | Object or component oriented development software | yes |
| Extensible markup language XML | Enterprise application integration software | yes |
| IBM DB2 | Data base user interface and query software | yes |
| IBM SPSS Statistics | Analytical or scientific software | yes |
| Linux | Operating system 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 PowerPoint | Presentation software | yes |
| Microsoft SQL Server | Data base user interface and query software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Microsoft Visual Basic for Applications VBA | Development environment software | yes |
| Microsoft Word | Word processing software | yes |
| Python | Object or component oriented development software | yes |
| R | Object or component oriented development software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| SAS | Analytical or scientific software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| Tableau | Business intelligence and data analysis software | yes |
| Teradata Database | Data base management system software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| UNIX | Operating system software | yes |
| Angoss KnowledgeSEEKER | Data mining software | |
| Apache Pig | Data base management system software | |
| Aptech Systems GAUSS | Analytical or scientific software | |
| Automatic Forecasting Systems Autobox | Analytical or scientific software | |
| Camfit Data Limited Microfit | Analytical or scientific software | |
| Common business oriented language COBOL | Development environment software | |
| Cytel StatXact | Analytical or scientific software | |
| DataDescription DataDesk | Analytical or scientific software | |
| Econometric Software LIMDEP | Analytical or scientific software | |
| Formula translation/translator FORTRAN | Development environment software | |
| GraphPad Software GraphPad Prism | Analytical or scientific software | |
| IBM SPSS Amos | Analytical or scientific software | |
| IBM SPSS AnswerTree | Analytical or scientific software | |
| Insightful S-PLUS | Analytical or scientific software | |
| Microsoft Visual FoxPro | Object oriented data base management software | |
| Minitab | Analytical or scientific software | |
| Muthen & Muthen Mplus | Analytical or scientific software | |
| NCR Teradata Warehouse Miner | Data mining software | |
| NCSS Power Analysis and Sample Size PASS | Analytical or scientific software | |
| Qlik Tech QlikView | Business intelligence and data analysis software | |
| Quantitative Micro Software EViews | Analytical or scientific software | |
| RAT-STATS | Analytical or scientific software | |
| SAP PowerBuilder | Object or component oriented development software | |
| SAS Enterprise Miner | Data mining software | |
| SAS JMP | Analytical or scientific software | |
| SAS/CONNECT | Enterprise application integration software | |
| Scientific Software International SSI Hierarchical Linear and Non-Linear Modeling HLM | Analytical or scientific software | |
| Scientific Software International SSI LISREL | Analytical or scientific software | |
| StataCorp Stata | Analytical or scientific software | |
| Stat-Ease Design-Ease | Analytical or scientific software | |
| Stat-Ease Design-Expert | Analytical or scientific software | |
| STATISTICA | Analytical or scientific software | |
| Statistical software | Analytical or scientific software | |
| Statistical Solutions BMDP | Analytical or scientific software | |
| StatPoint STATGRAPHICS Centurion | Analytical or scientific software | |
| Sun Microsystems Java | Object or component oriented development software | |
| SuperANOVA | Analytical or scientific software | |
| Systat Software SigmaPlot | Analytical or scientific software | |
| Systat Software SigmaStat | Analytical or scientific software | |
| UNISTAT Statistical Package | Analytical or scientific software | |
| Visual Numerics TS-WAVE | Analytical or scientific software | |
| Wolfram Research Mathematica | Analytical or scientific software | |
| XGobi | Analytical or scientific software | |
| XLISP-STAT | Analytical or scientific software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 5 ads, as of 2026-07-12)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- C# — **20 %**
- C++ — **20 %**
- Java — **20 %**
- GIT — **20 %**
- Node.js — **20 %**
- Microsoft Office — **20 %**
- Pixi.js — **20 %**
- Python — **20 %**
<!-- market-evidence -->