feat: blockchain-architect skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 17:29:12 +02:00
commit 12948bd98b
9 changed files with 703 additions and 0 deletions

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# Data provenance — blockchain-architect
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 — blockchain-architect
"ESCO (occupation & competences)" : 58
"O*NET (tasks & tools)" : 82
"Job boards (market evidence)" : 75
"Anthropic official Claude skills" : 9
"External AI skill packs (mapped)" : 101
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 58 | 17.8 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 82 | 25.2 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 75 | 23.1 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 9 | 2.8 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 101 | 31.1 % | 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).

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---
name: blockchain-architect
description: "Occupational skill for the role 'blockchain architect' (also: decentralized ledger technology specialist, DLT specialist, blockchain technology specialist, DLT architect). Use when the user asks for typical blockchain architect work such as: typical blockchain architect responsibilities"
---
# Blockchain Architect
Blockchain architects are ICT system architects that are specialized in blockchain-based solutions. They design architecture, components, modules, interfaces, and data for a decentralized system to meet specified requirements.
## 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)
- analyse blockchain use cases
- analyse ICT system
- blockchain application areas
- blockchain applications
- blockchain applications security principles
- blockchain architecture
- blockchain components
- blockchain concept application
- blockchain consensus mechanisms
- blockchain design patterns
- blockchain history
- blockchain mining principles
- blockchain openness
- blockchain platforms
- blockchain signature schemes
## Hot technologies
- Amazon Web Services AWS CloudFormation
- Amazon Web Services AWS software
- Ansible software
- Apache Kafka
- Atlassian Confluence
- Atlassian JIRA
- C
- C#
- C++
- Docker
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/78faf623-2543-43a5-acb2-3c43a22d36e4), O*NET 30.3 (15-1299.07, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "blockchain-architect",
"title": "blockchain architect",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/78faf623-2543-43a5-acb2-3c43a22d36e4",
"esco_code": "2511.14.1",
"isco_group": "2511",
"onet_soc": "15-1299.07",
"crosswalk_match": "manual nearest via ISCO 2511 (Blockchain 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": 46,
"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": 6
},
"obra/superpowers": {
"repo": "https://github.com/obra/superpowers",
"commit": "d884ae0",
"license": "MIT (c) Jesse Vincent",
"skills": 12
},
"wshobson/agents": {
"repo": "https://github.com/wshobson/agents",
"commit": "6fd3247",
"license": "MIT (c) Seth Hobson",
"skills": 12
},
"NVIDIA/skills": {
"repo": "https://github.com/NVIDIA/skills",
"commit": "153b14b",
"license": "CC-BY-4.0 (skills/docs), Apache-2.0 (code)",
"skills": 12
},
"veniceai/skills": {
"repo": "https://github.com/veniceai/skills",
"commit": "de089fa",
"license": "MIT",
"skills": 11
},
"google/skills": {
"repo": "https://github.com/google/skills",
"commit": "b15f327",
"license": "Apache-2.0",
"skills": 12
},
"phuryn/pm-skills": {
"repo": "https://github.com/phuryn/pm-skills",
"commit": "18468a9",
"license": "MIT",
"skills": 9
},
"czlonkowski/n8n-skills": {
"repo": "https://github.com/czlonkowski/n8n-skills",
"commit": "9ea3aa5",
"license": "MIT",
"skills": 12
}
},
"total_skills": 86,
"tiers": {
"core": 41,
"adjacent": 45
}
},
"provenance": {
"items": {
"esco": 58,
"onet": 82,
"jobads": 75,
"wiki_ai": 0,
"anthropic": 9,
"ai_skills": 101,
"stackx": 0
},
"share_percent": {
"esco": 17.8,
"onet": 25.2,
"jobads": 23.1,
"wiki_ai": 0.0,
"anthropic": 2.8,
"ai_skills": 31.1,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — blockchain-architect
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 |
|---|---|---|---|
| `webapp-testing` | core | Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. | [source](https://github.com/anthropics/skills/tree/main/skills/webapp-testing) |
| `mcp-builder` | core | Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python … | [source](https://github.com/anthropics/skills/tree/main/skills/mcp-builder) |
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `skill-creator` | adjacent | Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with … | [source](https://github.com/anthropics/skills/tree/main/skills/skill-creator) |
| `claude-api` | adjacent | Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a … | [source](https://github.com/anthropics/skills/tree/main/skills/claude-api) |
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
## Source: obra/superpowers
- Repository: [https://github.com/obra/superpowers](https://github.com/obra/superpowers) (commit `d884ae0`, retrieved 2026-07-14)
- License: MIT (c) Jesse Vincent
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `systematic-debugging` | core | Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes | [source](https://github.com/obra/superpowers/tree/main/skills/systematic-debugging) |
| `brainstorming` | adjacent | You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation. | [source](https://github.com/obra/superpowers/tree/main/skills/brainstorming) |
| `subagent-driven-development` | adjacent | Use when executing implementation plans with independent tasks in the current session | [source](https://github.com/obra/superpowers/tree/main/skills/subagent-driven-development) |
| `test-driven-development` | adjacent | Use when implementing any feature or bugfix, before writing implementation code | [source](https://github.com/obra/superpowers/tree/main/skills/test-driven-development) |
| `finishing-a-development-branch` | adjacent | Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup | [source](https://github.com/obra/superpowers/tree/main/skills/finishing-a-development-branch) |
| `writing-plans` | adjacent | Use when you have a spec or requirements for a multi-step task, before touching code | [source](https://github.com/obra/superpowers/tree/main/skills/writing-plans) |
| `receiving-code-review` | adjacent | Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation | [source](https://github.com/obra/superpowers/tree/main/skills/receiving-code-review) |
| `requesting-code-review` | adjacent | Use when completing tasks, implementing major features, or before merging to verify work meets requirements | [source](https://github.com/obra/superpowers/tree/main/skills/requesting-code-review) |
| `dispatching-parallel-agents` | adjacent | Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies | [source](https://github.com/obra/superpowers/tree/main/skills/dispatching-parallel-agents) |
| `executing-plans` | adjacent | Use when you have a written implementation plan to execute in a separate session with review checkpoints | [source](https://github.com/obra/superpowers/tree/main/skills/executing-plans) |
| `using-git-worktrees` | adjacent | Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback | [source](https://github.com/obra/superpowers/tree/main/skills/using-git-worktrees) |
| `verification-before-completion` | adjacent | Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always | [source](https://github.com/obra/superpowers/tree/main/skills/verification-before-completion) |
## Source: wshobson/agents
- Repository: [https://github.com/wshobson/agents](https://github.com/wshobson/agents) (commit `6fd3247`, retrieved 2026-07-14)
- License: MIT (c) Seth Hobson
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `solidity-security` | core | Master smart contract security best practices to prevent common vulnerabilities and implement secure Solidity patterns. Use when writing smart contracts, auditing existing contracts, or implementing security measures for blockchain … | [source](https://github.com/wshobson/agents/tree/main/plugins/blockchain-web3/skills/solidity-security) |
| `web3-testing` | core | Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols. | [source](https://github.com/wshobson/agents/tree/main/plugins/blockchain-web3/skills/web3-testing) |
| `langchain-architecture` | core | Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows. | [source](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/langchain-architecture) |
| `code-documentation-docs-architect (agent)` | core | Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. Use PROACTIVELY for system documentation, … | [source](https://github.com/wshobson/agents/tree/main/plugins/code-documentation/agents/docs-architect.md) |
| `comprehensive-review-architect-review (agent)` | core | Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and … | [source](https://github.com/wshobson/agents/tree/main/plugins/comprehensive-review/agents/architect-review.md) |
| `python-observability` | core | Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-observability) |
| `python-project-structure` | core | Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-project-structure) |
| `defi-protocol-templates` | core | Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and flash loans. Use when building decentralized finance applications or smart contract protocols. | [source](https://github.com/wshobson/agents/tree/main/plugins/blockchain-web3/skills/defi-protocol-templates) |
| `nft-standards` | core | Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems. | [source](https://github.com/wshobson/agents/tree/main/plugins/blockchain-web3/skills/nft-standards) |
| `auth-implementation-patterns` | core | Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues. | [source](https://github.com/wshobson/agents/tree/main/plugins/developer-essentials/skills/auth-implementation-patterns) |
| `async-python-patterns` | core | Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations. | [source](https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/async-python-patterns) |
| `prompt-engineering-patterns` | core | This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot … | [source](https://github.com/wshobson/agents/tree/main/plugins/llm-application-dev/skills/prompt-engineering-patterns) |
## Source: google/skills
- Repository: [https://github.com/google/skills](https://github.com/google/skills) (commit `b15f327`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `alloydb-basics` | core | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/alloydb-basics) |
| `cloud-sql-basics` | core | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/cloud-sql-basics) |
| `bigtable-basics` | core | Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigtable-basics) |
| `agent-platform-eval-flywheel` | adjacent | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-eval-flywheel) |
| `datalineage-bigquery-asset-impact-analysis` | adjacent | Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/datalineage-bigquery-asset-impact-analysis) |
| `google-cloud-networking-observability` | adjacent | Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/google-cloud-networking-observability) |
| `agent-platform-alert-configuration` | adjacent | Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-alert-configuration) |
| `bigquery-ai-ml` | adjacent | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-ai-ml) |
| `bigquery-basics` | adjacent | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-basics) |
| `gke-observability` | adjacent | Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/gke-observability) |
| `google-analytics-admin-api-basics` | adjacent | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-admin-api-basics) |
| `google-analytics-data-api-basics` | adjacent | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-data-api-basics) |
## Source: czlonkowski/n8n-skills
- Repository: [https://github.com/czlonkowski/n8n-skills](https://github.com/czlonkowski/n8n-skills) (commit `9ea3aa5`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `n8n-agents` | core | Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-agents) |
| `n8n-code-tool` | core | Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-tool) |
| `n8n-code-javascript` | core | Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-javascript) |
| `n8n-code-python` | core | Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-code-python) |
| `n8n-node-configuration` | core | Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type. … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-node-configuration) |
| `n8n-self-hosting` | core | Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-self-hosting) |
| `using-n8n-mcp-skills` | core | Use when building, editing, validating, testing, or debugging an n8n workflow through the n8n-mcp MCP server — designing a flow, configuring a node, writing an expression or Code node, wiring credentials, or fixing one that misbehaves. The … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/using-n8n-mcp-skills) |
| `n8n-expression-syntax` | core | Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-expression-syntax) |
| `n8n-workflow-patterns` | adjacent | Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-workflow-patterns) |
| `n8n-mcp-tools-expert` | adjacent | Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-mcp-tools-expert) |
| `n8n-multi-instance` | adjacent | Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (prod vs staging, several teams or clients), a workflow / datatable / … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-multi-instance) |
| `n8n-subworkflows` | adjacent | Build reusable, composable n8n sub-workflows. Use when extracting shared logic, building anything multi-step or reused across workflows, or any workflow over ~10 nodes — and whenever the user mentions sub-workflows, Execute Workflow, … | [source](https://github.com/czlonkowski/n8n-skills/tree/9ea3aa5/skills/n8n-subworkflows) |
## Source: NVIDIA/skills
- Repository: [https://github.com/NVIDIA/skills](https://github.com/NVIDIA/skills) (commit `153b14b`, retrieved 2026-07-14)
- License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deepstream-dev` | core | NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/deepstream-dev) |
| `nemo-mbridge-multi-node-slurm` | core | Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-mbridge-multi-node-slurm) |
| `tilegym-cutile-python` | core | Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tilegym-cutile-python) |
| `holoscan-install-container` | core | Install Holoscan SDK via the NGC Docker container. Use for container-based installs; not for native apt/pip/Conda installs. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/holoscan-install-container) |
| `tao-run-platform` | core | TAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Brev, SLURM, local Docker, Kubernetes). Use when the user wants to run TAO jobs through the SDK, get job tracking, S3 I/O wrapping, multi-node … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-run-platform) |
| `nemotron-customize` | core | Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemotron-customize) |
| `tao-generate-video-reasoning-annotations` | core | Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-generate-video-reasoning-annotations) |
| `cupynumeric-install` | core | Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cupynumeric-install) |
| `tao-finetune-cosmos-reason` | core | Cosmos3-Nano video QA supervised fine-tuning with FSDP parallelism. Use when training or evaluating video question-answering models, fine-tuning Cosmos3-Nano or compatible Cosmos Reason models with SFT/LoRA, or working with Cosmos-RL. … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-finetune-cosmos-reason) |
| `tilegym-converting-cutile-to-julia` | core | Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tilegym-converting-cutile-to-julia) |
| `cuopt-install` | core | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/cuopt-install) |
| `dali-dynamic-mode` | core | DALI imperative dynamic mode (`nvidia.dali.experimental.dynamic`, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks. | [source](https://github.com/NVIDIA/skills/tree/153b14b/plugins/nvidia-skills/skills/dali-dynamic-mode) |
## Source: phuryn/pm-skills
- Repository: [https://github.com/phuryn/pm-skills](https://github.com/phuryn/pm-skills) (commit `18468a9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `dummy-dataset` | core | Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-execution/skills/dummy-dataset) |
| `sql-queries` | core | Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/sql-queries) |
| `metrics-dashboard` | adjacent | Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-discovery/skills/metrics-dashboard) |
| `north-star-metric` | adjacent | Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-marketing-growth/skills/north-star-metric) |
| `lean-canvas` | adjacent | Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/lean-canvas) |
| `cohort-analysis` | adjacent | Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/cohort-analysis) |
| `gtm-strategy` | adjacent | Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-go-to-market/skills/gtm-strategy) |
| `product-strategy` | adjacent | Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/product-strategy) |
| `ab-test-analysis` | adjacent | Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/ab-test-analysis) |
## Source: veniceai/skills
- Repository: [https://github.com/veniceai/skills](https://github.com/veniceai/skills) (commit `de089fa`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `venice-api-overview` | core | High-level map of the Venice.ai API - base URL, authentication modes, endpoint categories, response headers, pricing model, error shape, and versioning. Load this first when starting any Venice integration. | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-api-overview) |
| `venice-characters` | adjacent | Discover and use Venice public characters (persona-driven system prompts with a bound model). Covers GET /characters (search/filter/sort), /characters/{slug}, /characters/{slug}/reviews, the Character schema, and how to apply a character … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-characters) |
| `venice-image-edit` | adjacent | Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose 1-3 images), /image/upscale (2-4x upscale + enhance), and /image/background-remove. Accepts base64, file upload, … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-image-edit) |
| `venice-x402` | adjacent | Manage Venice x402 wallet credits. Covers POST /x402/top-up (payment discovery + signed USDC settlement), GET /x402/balance/{walletAddress}, GET /x402/transactions/{walletAddress}, USDC on Base (chain 8453), minimum $5 top-up, transaction … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-x402) |
| `venice-api-keys` | adjacent | Manage Venice API keys. Covers GET/POST/PATCH/DELETE /api_keys, GET /api_keys/{id}, GET /api_keys/rate_limits, GET /api_keys/rate_limits/log, the two-step /api_keys/generate_web3_key wallet flow, INFERENCE vs ADMIN key types, and per-key … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-api-keys) |
| `venice-auth` | adjacent | Authenticate to the Venice API with a Bearer API key or with an x402 / SIWE wallet. Covers header formats, the SIWE message fields, TTL and nonce rules, the venice-x402-client SDK, and how to choose between the two modes. | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-auth) |
| `venice-crypto-rpc` | adjacent | Use Venice as a pay-per-call JSON-RPC proxy to 20+ EVM and Starknet networks. Covers GET /crypto/rpc/networks, POST /crypto/rpc/{network}, the 1×/2×/4× method-tier pricing model, per-minute + 24-hour credit rate limits, idempotency keys … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-crypto-rpc) |
| `venice-embeddings` | adjacent | Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practical usage for retrieval, clustering, and RAG. | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-embeddings) |
| `venice-errors` | adjacent | Handle Venice API errors correctly. Covers the StandardError / DetailedError / ContentViolationError / X402InferencePaymentRequired body shapes, every meaningful status code (400, 401, 402, 403, 415, 422, 429, 500, 503, 504), the 402 … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-errors) |
| `venice-image-generate` | adjacent | Generate images with Venice. Covers POST /image/generate (Venice-native), POST /images/generations (OpenAI-compatible), GET /image/styles (style presets), request fields (prompt, dimensions, cfg_scale, seed, variants, style_preset, … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-image-generate) |
| `venice-responses` | adjacent | Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported … | [source](https://github.com/veniceai/skills/tree/de089fa/skills/venice-responses) |

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# Market evidence report — blockchain-architect
Source: **13 real job ads** (JSearch API, countries: us 13), 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 |
|---|---|---|
| senior | 7 | 54 % |
| lead | 3 | 23 % |
| mid | 2 | 15 % |
| n/a | 1 | 8 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Kubernetes | 4 | 31 % |
| 2 | AWS | 3 | 23 % |
| 3 | Azure | 3 | 23 % |
| 4 | Docker | 3 | 23 % |
| 5 | Hyperledger Fabric | 3 | 23 % |
| 6 | Python | 3 | 23 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | blockchain architecture | 8 | 62 % |
| 2 | cryptography | 5 | 38 % |
| 3 | smart contract development | 5 | 38 % |
| 4 | distributed systems design | 3 | 23 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | code review | 3 | 23 % |
| 2 | engineering team mentoring | 3 | 23 % |
| 3 | system integration | 3 | 23 % |
## Regional breakdown
> **Corpus note:** 13 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** — 13 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### EU/DACH (de, at, ch, nl)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
## Job title variants in the market
| Title | Ads |
|---|---|
| Blockchain Architect - Americas | 2 |
| Senior Web3 Integrations Architect | 2 |
| Blockchain Architect | 1 |
| Blockchain Tech Lead Decentralized E-commerce Platform & Native Token - Contract to Hire | 1 |
| Job Title: Blockchain Consultant Hyperledger Fabric Expert | 1 |
| Lead Protocol Architect - Privacy-Preserving Blockchain | 1 |
| Remote Blockchain Architect for AI-Driven Platforms | 1 |
| Senior Blockchain Architect | 1 |
| Senior Blockchain Architect in Washington DC | 1 |
| Senior Blockchain Protocol Architect — Lead Core Engine | 1 |
| Senior Distributed Ledger Technology Engineer | 1 |
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.

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# Occupation profile — blockchain architect
- **ESCO URI:** http://data.europa.eu/esco/occupation/78faf623-2543-43a5-acb2-3c43a22d36e4
- **ESCO code:** 2511.14.1
- **ISCO-08 group:** 2511 — Systems analysts
## Description (ESCO)
Blockchain architects are ICT system architects that are specialized in blockchain-based solutions. They design architecture, components, modules, interfaces, and data for a decentralized system to meet specified requirements.
## Definition
nan
## Alternative labels
- decentralized ledger technology specialist
- DLT specialist
- blockchain technology specialist
- DLT architect

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# Competences — blockchain architect
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/78faf623-2543-43a5-acb2-3c43a22d36e4).
## Essential
- **analyse blockchain use cases** (skill/competence)
- **analyse ICT system** (skill/competence)
- **blockchain application areas** (knowledge)
- **blockchain applications** (knowledge)
- **blockchain applications security principles** (knowledge)
- **blockchain architecture** (knowledge)
- **blockchain components** (knowledge)
- **blockchain concept application** (knowledge)
- **blockchain consensus mechanisms** (knowledge)
- **blockchain design patterns** (knowledge)
- **blockchain history** (knowledge)
- **blockchain mining principles** (knowledge)
- **blockchain openness** (knowledge)
- **blockchain platforms** (knowledge)
- **blockchain signature schemes** (knowledge)
- **blockchain terminology** (knowledge)
- **blockchain-based business models** (knowledge)
- **blockchain-based services regulation** (knowledge)
- **business processes** (knowledge)
- **create business process models** (skill/competence)
- **data security principles** (knowledge)
- **decentralised identifiers** (knowledge)
- **define roadmap for blockchain in applications** (skill/competence)
- **define software architecture** (skill/competence)
- **define technical requirements** (skill/competence)
- **design information system** (skill/competence)
- **design process for blockchain-based systems** (skill/competence)
- **design thinking** (knowledge)
- **develop blockchain innovative architectures** (skill/competence)
- **develop blockchain technology** (skill/competence)
- **digital identity management** (knowledge)
- **digital systems** (knowledge)
- **distributed ledger technologies consensus protocols** (knowledge)
- **distributed ledger technologies vulnerabilities** (knowledge)
- **distributed ledger technology** (knowledge)
- **evaluate blockchain architectures** (skill/competence)
- **explain blockchain implications** (skill/competence)
- **explain distributed ledger technologies principles** (skill/competence)
- **identify blockchain innovation opportunities** (skill/competence)
- **implement cryptographic constructs** (skill/competence)
- **interpret technical requirements** (skill/competence)
- **outline blockchain-based identity management** (skill/competence)
- **recognise blockchain application areas** (skill/competence)
- **recognise blockchain risks** (skill/competence)
- **smart contract** (knowledge)
- **systems development life-cycle** (knowledge)
## Optional
- cloud technologies (knowledge)
- cryptocurrency (knowledge)
- data analytics (knowledge)
- debug software (skill/competence)
- decentralized application frameworks (knowledge)
- design cloud architecture (skill/competence)
- develop software prototype (skill/competence)
- ICT encryption (knowledge)
- service-oriented modelling (knowledge)
- software components libraries (knowledge)
- statistics (knowledge)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 13 ads, as of 2026-07-09)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- blockchain architecture — **62 %**
- cryptography — **38 %**
- smart contract development — **38 %**
- distributed systems design — **23 %**
- ci/cd pipeline design — **15 %**
- data structures and algorithms — **15 %**
- decentralized networking — **15 %**
- back-end development — **15 %**
- software engineering — **15 %**
- protocol design — **15 %**
- security architecture — **15 %**
- multi-chain development — **15 %**
- web3 integration — **15 %**
### Methods
- zero-knowledge proofs — **15 %**
- cross-chain bridges — **15 %**
- decentralized storage — **15 %**
### Responsibilities
- code review — **23 %**
- engineering team mentoring — **23 %**
- system integration — **23 %**
- technical documentation creation — **15 %**
- technical implementation — **15 %**
- technical roadmap definition — **15 %**
- performance optimization — **15 %**
- solution architecture — **15 %**
- solution driving — **15 %**
- blockchain advancement — **15 %**
- blockchain platform architecture — **15 %**
- architecting integrations — **15 %**
- architecture review — **15 %**
<!-- market-evidence -->

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# Tasks & work activities — blockchain architect
Source: O*NET 30.3, occupation 15-1299.07 (Blockchain Engineers) — manual nearest-occupation mapping via ISCO group 2511; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[nan]** Assess blockchain threats, such as untested code and unprotected keys.
- **[nan]** Automate the deployment of software updates over geographically distributed network nodes.
- **[nan]** Design and deploy blockchain design patterns to make transactions secure, transparent, and immutable.
- **[nan]** Design and develop blockchain technologies for industries such as finance and music.
- **[nan]** Design and implement dashboard and data visualizations to meet customer reporting needs.
- **[nan]** Design and implement data repositories to integrate data.
- **[nan]** Design and verify cryptographic protocols to protect private information.
- **[nan]** Determine specifications for, or implement, logging.
- **[nan]** Develop a maintainable code base using object-oriented design principles, practices, or patterns.
- **[nan]** Discuss and plan systems with solution architects, system engineers, or cybersecurity experts to meet customer requirements.
- **[nan]** Discuss data needs with engineers, product managers, or data scientists to identify blockchain requirements.
- **[nan]** Evaluate blockchain processes or risks based on security assessments or control matrix reviews.
- **[nan]** Evaluate new blockchain technologies and vendor products.
- **[nan]** Implement catastrophic failure handlers to identify security breaches and prevent serious damage.
- **[nan]** Run infrastructure tests to examine the behavior of large peer-to-peer networks.
- **[nan]** Test the security and performance of blockchain infrastructures.
- **[nan]** Update client and server applications responsible for integration and business logic.
## Detailed work activities
- Analyze security of systems, network, or data.
- Create databases to store electronic data.
- Design integrated computer systems.
- Design software applications.
- Develop computer or information security policies or procedures.
- Develop procedures for data management.
- Discuss design or technical features of products or services with technical personnel.
- Evaluate new technologies or methods.
- Evaluate utility of software or hardware technologies.
- Implement security measures for computer or information systems.
- Install computer software.
- Maintain computer equipment or software.
- Test computer system operations to ensure proper functioning.
- Write computer programming code.

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# Tools & technology — blockchain architect
Source: O*NET 30.3, occupation 15-1299.07 (Blockchain Engineers) — manual nearest-occupation mapping via ISCO group 2511; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Amazon Web Services AWS CloudFormation | Cloud-based management software | yes |
| Amazon Web Services AWS software | Data base user interface and query software | yes |
| Ansible software | Expert system software | yes |
| Apache Kafka | Development environment software | yes |
| Atlassian Confluence | Project management software | yes |
| Atlassian JIRA | Content workflow software | yes |
| C | Development environment software | yes |
| C# | Object or component oriented development software | yes |
| C++ | Object or component oriented development software | yes |
| Docker | Application server software | yes |
| Git | File versioning software | yes |
| GitHub | Application server software | yes |
| Go | Development environment software | yes |
| Google Angular | Web platform development software | yes |
| Grafana Labs Grafana Cloud | Graphical user interface development software | yes |
| IBM Terraform | Configuration management software | yes |
| JavaScript | Web platform development software | yes |
| Jenkins CI | Enterprise application integration software | yes |
| Kubernetes | Application server software | yes |
| Linux | Operating system software | yes |
| Microsoft Azure software | Development environment software | yes |
| MongoDB | Data base management system software | yes |
| MySQL | Data base management system software | yes |
| Node.js | Web platform development software | yes |
| NoSQL | Data base management system software | yes |
| Oracle Java | Object or component oriented development software | yes |
| PostgreSQL | Object oriented data base management software | yes |
| Python | Object or component oriented development software | yes |
| React | Web platform development software | yes |
| Splunk Enterprise | Enterprise system management software | yes |
| Spring Boot | Application server software | yes |
| Spring Framework | Web platform development software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| TypeScript | Object or component oriented development software | yes |
| Amazon Elastic Container Service ECS | Application server software | |
| Amazon Kinesis | Data base management system software | |
| Amazon Simple Storage Service S3 | Storage networking software | |
| Enterprise application integration EAI software | Enterprise application integration software | |
| Kotlin | Development environment software | |
| Low-level virtual machine LLVM compilers | Compiler and decompiler software | |
| Microservices Architecture | Application server software | |
| Oracle Java Message Service JMS | Object or component oriented development software | |
| RabbitMQ | Object or component oriented development software | |
| RESTful API | Web platform development software | |
| Rust programming language | Development environment software | |
| Software as a service SaaS | Cloud-based data access and sharing software | |
| Software libraries | Development environment software | |
| Solidity | Development environment software | |
| Source code editor software | Program testing software | |
| Web framework software | Web platform development software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 13 ads, as of 2026-07-09)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Kubernetes — **31 %**
- Hyperledger Fabric — **23 %**
- Python — **23 %**
- AWS — **23 %**
- Azure — **23 %**
- Docker — **23 %**
- Cosmos — **15 %**
- Solana — **15 %**
- IPFS — **15 %**
- Ethereum — **15 %**
- GCP — **15 %**
- Node.js — **15 %**
<!-- market-evidence -->