feat: remote-sensing-technician skill package v0.1.0

2026-08-14 17:47:41 +02:00
commit 0f8beee68d
9 changed files with 1140 additions and 0 deletions
--- a/PROVENANCE.md
+++ b/PROVENANCE.md
@@ -0,0 +1,31 @@
+# Data provenance — remote-sensing-technician
+
+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 — remote-sensing-technician
+    "ESCO (occupation & competences)" : 42
+    "O*NET (tasks & tools)" : 137
+    "Job boards (market evidence)" : 82
+    "Anthropic official Claude skills" : 5
+    "External AI skill packs (mapped)" : 180
+```
+
+| Source | Items | Share | Files |
+|---|---|---|---|
+| ESCO (occupation & competences) | 42 | 9.4 % | references/profile.md, references/skills.md |
+| O*NET (tasks & tools) | 137 | 30.7 % | references/tasks.md, references/tools.md |
+| Job boards (market evidence) | 82 | 18.4 % | references/market.md (full report) + "Market evidence" headline sections |
+| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
+| Anthropic official Claude skills | 5 | 1.1 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
+| External AI skill packs (mapped) | 180 | 40.4 % | references/ai-skills.md (per-source attribution inside) |
+| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
+
+Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
+job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
+paraphrased with source URLs — never copied · external AI skills are
+linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).
--- a/SKILL.md
+++ b/SKILL.md
@@ -0,0 +1,61 @@
+---
+name: remote-sensing-technician
+description: "Occupational skill for the role 'remote sensing technician' (also: remote sensing technology scientist, remote sensing technology researcher, remote sensing technology studies research scientist, remote sensing technology scholar, remote sensing technology studies researcher, remote sensing technology analyst). Use when the user asks for typical remote sensing technician work such as: Participate in the planning or development of mapping projects.; Verify integrity and accuracy of data contained in remote sensing image analysis systems.; Prepare documentation or presentations, including charts, photos, or graphs."
+---
+
+# Remote Sensing Technician
+
+Remote sensing technicians collect airborne data. They utilise equipment aimed for the collection of data and determination of geographical points in order to help in a variety of operations such as land conservation, urban planning, and military operations.
+
+## Core workflow
+
+1. Participate in the planning or development of mapping projects.
+2. Verify integrity and accuracy of data contained in remote sensing image analysis systems.
+3. Prepare documentation or presentations, including charts, photos, or graphs.
+4. Merge scanned images or build photo mosaics of large areas, using image processing software.
+5. Integrate remotely sensed data with other geospatial data.
+6. Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.
+7. Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.
+8. Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.
+
+## 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)
+
+- collect data using GPS
+- collect real-time geolocation information
+- execute analytical mathematical calculations
+- geodesy
+- geographic information systems
+- geography
+- geomatics
+- interpret visual literacy
+- keep task records
+- log transmitter readings
+- mathematics
+- photogrammetry
+- remote sensing techniques
+- study aerial photos
+- study radar images
+
+## Hot technologies
+
+- SAS
+- The MathWorks MATLAB
+- GitHub
+- Splunk Enterprise
+- Autodesk AutoCAD
+- Bentley MicroStation
+- Salesforce software
+- Microsoft SQL Server
+- MySQL
+- Amazon Elastic Compute Cloud EC2
+
+---
+*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/b176e5d7-1f94-495c-907f-80a7f61aed59), O*NET 30.3 (19-4099.03). See manifest.json for licensing/attribution.*
--- a/manifest.json
+++ b/manifest.json
@@ -0,0 +1,280 @@
+{
+  "name": "remote-sensing-technician",
+  "title": "remote sensing technician",
+  "version": "0.1.0",
+  "layer": "core",
+  "language": "en",
+  "generated": "2026-07-07",
+  "ids": {
+    "esco_uri": "http://data.europa.eu/esco/occupation/b176e5d7-1f94-495c-907f-80a7f61aed59",
+    "esco_code": "3111.13",
+    "isco_group": "3111",
+    "onet_soc": "19-4099.03",
+    "crosswalk_match": "exactMatch"
+  },
+  "sources": [
+    {
+      "name": "ESCO",
+      "version": "1.2.1",
+      "url": "https://esco.ec.europa.eu/"
+    },
+    {
+      "name": "O*NET",
+      "version": "30.3",
+      "url": "https://www.onetcenter.org/",
+      "license": "CC BY 4.0"
+    }
+  ],
+  "attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
+  "counts": {
+    "tasks": 21,
+    "dwas": 20,
+    "skills_essential": 17,
+    "skills_optional": 24,
+    "software": 95
+  },
+  "enrichment_ai_skills": {
+    "generated": "2026-07-14",
+    "method": "deterministic mapping (ISCO prefix + title/competence keywords)",
+    "sources": {
+      "anthropics/skills": {
+        "repo": "https://github.com/anthropics/skills",
+        "commit": "f6656c1",
+        "license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
+        "skills": 2
+      },
+      "basicmachines-co/basic-memory": {
+        "repo": "https://github.com/basicmachines-co/basic-memory",
+        "commit": "53da71c",
+        "license": "custom (see upstream LICENSE)",
+        "skills": 2
+      },
+      "mohitagw15856/pm-claude-skills": {
+        "repo": "https://github.com/mohitagw15856/pm-claude-skills",
+        "commit": "876fa30",
+        "license": "MIT",
+        "skills": 1
+      },
+      "foryourhealth111-pixel/Vibe-Skills": {
+        "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
+        "commit": "34429a8",
+        "license": "Apache-2.0",
+        "skills": 3
+      },
+      "jeremylongshore/claude-code-plugins-plus-skills": {
+        "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
+        "commit": "e112938a",
+        "license": "MIT",
+        "skills": 5
+      },
+      "hypnguyen1209/offensive-claude": {
+        "repo": "https://github.com/hypnguyen1209/offensive-claude",
+        "commit": "4d62be7",
+        "license": "MIT",
+        "skills": 1
+      },
+      "a5c-ai/babysitter": {
+        "repo": "https://github.com/a5c-ai/babysitter",
+        "commit": "44a5d58b",
+        "license": "MIT",
+        "skills": 9
+      },
+      "HeshamFS/materials-simulation-skills": {
+        "repo": "https://github.com/HeshamFS/materials-simulation-skills",
+        "commit": "fa1ce8d",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "ljagiello/ctf-skills": {
+        "repo": "https://github.com/ljagiello/ctf-skills",
+        "commit": "d19f35f",
+        "license": "MIT",
+        "skills": 1
+      },
+      "K-Dense-AI/claude-scientific-skills": {
+        "repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 1
+      },
+      "K-Dense-AI/scientific-agent-skills": {
+        "repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 1
+      },
+      "sanjay3290/ai-skills": {
+        "repo": "https://github.com/sanjay3290/ai-skills",
+        "commit": "3619692",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "mukul975/Anthropic-Cybersecurity-Skills": {
+        "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
+        "commit": "673da1f",
+        "license": "Apache-2.0",
+        "skills": 8
+      },
+      "gooseworks-ai/goose-skills": {
+        "repo": "https://github.com/gooseworks-ai/goose-skills",
+        "commit": "94ec916",
+        "license": "no explicit license \u2014 referenced by link only",
+        "skills": 1
+      },
+      "ruvnet/claude-code-flow": {
+        "repo": "https://github.com/ruvnet/claude-code-flow",
+        "commit": "73914bd",
+        "license": "MIT",
+        "skills": 3
+      },
+      "ruvnet/ruflo": {
+        "repo": "https://github.com/ruvnet/ruflo",
+        "commit": "73914bd",
+        "license": "MIT",
+        "skills": 3
+      },
+      "pedrohcgs/claude-code-my-workflow": {
+        "repo": "https://github.com/pedrohcgs/claude-code-my-workflow",
+        "commit": "be53c12",
+        "license": "MIT",
+        "skills": 1
+      },
+      "davila7/claude-code-templates": {
+        "repo": "https://github.com/davila7/claude-code-templates",
+        "commit": "fa79251",
+        "license": "MIT",
+        "skills": 3
+      },
+      "davepoon/buildwithclaude": {
+        "repo": "https://github.com/davepoon/buildwithclaude",
+        "commit": "3c94e0c",
+        "license": "MIT",
+        "skills": 2
+      },
+      "snyk/agent-scan": {
+        "repo": "https://github.com/snyk/agent-scan",
+        "commit": "f3a4621",
+        "license": "Apache-2.0",
+        "skills": 2
+      },
+      "ThinkInAIXYZ/deepchat": {
+        "repo": "https://github.com/ThinkInAIXYZ/deepchat",
+        "commit": "f275c92",
+        "license": "Apache-2.0",
+        "skills": 2
+      },
+      "claude-world/director-mode-lite": {
+        "repo": "https://github.com/claude-world/director-mode-lite",
+        "commit": "9d0c333",
+        "license": "MIT",
+        "skills": 1
+      },
+      "brycewang-stanford/Auto-Empirical-Research-Skills": {
+        "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
+        "commit": "85bf545",
+        "license": "CC-BY-4.0",
+        "skills": 1
+      },
+      "silverstein/minutes": {
+        "repo": "https://github.com/silverstein/minutes",
+        "commit": "3fb2e83",
+        "license": "MIT",
+        "skills": 1
+      },
+      "OpenSenseNova/SenseNova-Skills": {
+        "repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
+        "commit": "d8bb438",
+        "license": "MIT",
+        "skills": 12
+      },
+      "ComPDFKit/compdf-skills": {
+        "repo": "https://github.com/ComPDFKit/compdf-skills",
+        "commit": "b77153e",
+        "license": "no explicit license \u2014 referenced by link only",
+        "skills": 1
+      },
+      "googleworkspace/cli": {
+        "repo": "https://github.com/googleworkspace/cli",
+        "commit": "a3768d0",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "zebbern/claude-code-guide": {
+        "repo": "https://github.com/zebbern/claude-code-guide",
+        "commit": "d2c5280",
+        "license": "MIT",
+        "skills": 2
+      },
+      "wanshuiyin/Auto-claude-code-research-in-sleep": {
+        "repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
+        "commit": "eb5c9d7",
+        "license": "MIT",
+        "skills": 1
+      },
+      "alinaqi/claude-bootstrap": {
+        "repo": "https://github.com/alinaqi/claude-bootstrap",
+        "commit": "f61ec87",
+        "license": "MIT",
+        "skills": 1
+      },
+      "aaron-he-zhu/aaron-marketing-skills": {
+        "repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
+        "commit": "b7b0b9f",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "ahacker-1/cre-agent-skills": {
+        "repo": "https://github.com/ahacker-1/cre-agent-skills",
+        "commit": "618734e",
+        "license": "Apache-2.0",
+        "skills": 2
+      },
+      "affaan-m/everything-claude-code": {
+        "repo": "https://github.com/affaan-m/everything-claude-code",
+        "commit": "ed38744",
+        "license": "MIT",
+        "skills": 1
+      },
+      "billy-enrizky/openbrowser-ai": {
+        "repo": "https://github.com/billy-enrizky/openbrowser-ai",
+        "commit": "168d43e",
+        "license": "MIT",
+        "skills": 1
+      },
+      "harperreed/dotfiles": {
+        "repo": "https://github.com/harperreed/dotfiles",
+        "commit": "6b5ced1",
+        "license": "MIT",
+        "skills": 1
+      }
+    },
+    "total_skills": 80,
+    "tiers": {
+      "core": 78,
+      "adjacent": 2
+    }
+  },
+  "provenance": {
+    "items": {
+      "esco": 42,
+      "onet": 137,
+      "jobads": 82,
+      "wiki_ai": 0,
+      "anthropic": 5,
+      "ai_skills": 180,
+      "stackx": 0
+    },
+    "share_percent": {
+      "esco": 9.4,
+      "onet": 30.7,
+      "jobads": 18.4,
+      "wiki_ai": 0.0,
+      "anthropic": 1.1,
+      "ai_skills": 40.4,
+      "stackx": 0.0
+    },
+    "method": "content items per source category"
+  },
+  "collar": "white",
+  "computer_work": true
+}
--- a/references/ai-skills.md
+++ b/references/ai-skills.md
@@ -0,0 +1,378 @@
+# External AI agent skills — remote-sensing-technician
+
+Proven, publicly available AI agent skills mapped to this occupation.
+Nothing is copied from the sources: every entry is a name, a one-line
+summary and a link to the upstream skill package. Each section names
+its source repository, commit, license and retrieval date.
+
+**Tiers:** `core` = the skill directly exercises a top market hard
+skill, tool or method (from gated job-ad evidence) or an essential
+ESCO competence of this occupation; `adjacent` =
+plausibly useful, secondary. Entries are capped at 12 per source
+and 80 in total per occupation (core first,
+strongest matches survive); everything beyond the caps is excluded
+and logged in the pipeline audit trail, not in this package.
+
+_Matched deterministically (ISCO group + title/competence keywords,
+tiered against market evidence + ESCO essentials) by
+`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
+
+## Source: anthropics/skills
+
+- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
+- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
+| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
+
+## Source: a5c-ai/babysitter
+
+- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `memlab-analysis` | core | Expert skill for JavaScript memory leak detection using Facebook MemLab. Configure MemLab scenarios, execute memory leak detection runs, analyze heap snapshots, identify detached DOM elements, find event listener leaks, and integrate with … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/performance-optimization/skills/memlab-analysis) |
+| `pandas-dataframe-analyzer` | core | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
+| `memory-analysis` | core | Embedded memory analysis, optimization, and leak detection | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/memory-analysis) |
+| `nvenc-nvdec` | core | NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/nvenc-nvdec) |
+| `growing-outside-in-systems` | core | Drive feature development using Outside-In TDD with Hexagonal Architecture. Design emerges through inline code, in-memory fakes, interface extraction, and deferred I/O. Use when building features, writing tests, or structuring backend … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/backend-development/skills/growing-outside-in-systems) |
+| `gpu-memory-analysis` | core | Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/gpu-memory-analysis) |
+| `memory-leak-detector` | core | Detect memory leaks in desktop applications through heap analysis and object tracking | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/desktop-development/skills/memory-leak-detector) |
+| `pyramid-structuring` | core | Structure analysis and presentations using the Pyramid Principle with SCQA and MECE frameworks | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/business-analysis/skills/pyramid-structuring) |
+| `translation-management` | core | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
+
+## Source: aaron-he-zhu/aaron-marketing-skills
+
+- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `content-gap-analysis` | core | Use when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/seo-geo/research/content-gap-analysis) |
+
+## Source: 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 |
+|---|---|---|---|
+| `nutrient-document-processing` | core | Nutrient DWS API を使用してドキュメントの処理、変換、OCR、抽出、編集、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。 | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/docs/ja-JP/skills/nutrient-document-processing) |
+
+## Source: ahacker-1/cre-agent-skills
+
+- Repository: [https://github.com/ahacker-1/cre-agent-skills](https://github.com/ahacker-1/cre-agent-skills) (commit `618734e`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `cre-office` | core | CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-office) |
+| `cre-underwriting` | core | CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-underwriting) |
+
+## Source: 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) |
+| `memory-tasks` | core | Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-tasks) |
+
+## Source: billy-enrizky/openbrowser-ai
+
+- Repository: [https://github.com/billy-enrizky/openbrowser-ai](https://github.com/billy-enrizky/openbrowser-ai) (commit `168d43e`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `page-analysis` | core | Analyze web page content, structure, and layout to understand what a page contains and how it is organized. Trigger when the user asks to: analyze a page, understand page structure, inspect a website, summarize page content, examine page … | [source](https://github.com/billy-enrizky/openbrowser-ai/tree/168d43e/plugin/skills/page-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 |
+|---|---|---|---|
+| `markitdown` | core | Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/67-econfin-workflow-toolkit/markitdown) |
+
+## Source: claude-world/director-mode-lite
+
+- Repository: [https://github.com/claude-world/director-mode-lite](https://github.com/claude-world/director-mode-lite) (commit `9d0c333`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `handoff-gemini` | core | Delegate long-context analysis, research, and large-document summarization to Google Gemini CLI (1M-token context) via non-interactive `gemini -p`, preserving Claude context. Use when the user says 'use gemini'/'hand off to gemini' or a … | [source](https://github.com/claude-world/director-mode-lite/tree/9d0c333/skills/handoff-gemini) |
+
+## Source: ComPDFKit/compdf-skills
+
+- Repository: [https://github.com/ComPDFKit/compdf-skills](https://github.com/ComPDFKit/compdf-skills) (commit `b77153e`, retrieved 2026-07-14)
+- License: no explicit license — referenced by link only
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `pdf-to-word-docx` | core | PDF to Word converts PDF to editable Word/DOCX with AI-powered layout analysis and table recognition, built on ComPDF Conversion SDK to better preserve tables, multi-column layouts, lists, and images for downstream editing. It fits … | [source](https://github.com/ComPDFKit/compdf-skills/tree/b77153e/skills/pdf-to-word-docx) |
+
+## 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) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+| `dask` | core | Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/dask) |
+| `Excel Analysis` | core | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
+
+## Source: foryourhealth111-pixel/Vibe-Skills
+
+- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `xlsx` | core | Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/xlsx) |
+| `dask` | core | Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/dask) |
+| `docx` | core | Document toolkit (.docx). Create/edit documents, tracked changes, comments, formatting preservation, text extraction, for professional document processing. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/document-skills/docx) |
+
+## Source: googleworkspace/cli
+
+- Repository: [https://github.com/googleworkspace/cli](https://github.com/googleworkspace/cli) (commit `a3768d0`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `recipe-backup-sheet-as-csv` | core | Export a Google Sheets spreadsheet as a CSV file for local backup or processing. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-backup-sheet-as-csv) |
+
+## Source: gooseworks-ai/goose-skills
+
+- Repository: [https://github.com/gooseworks-ai/goose-skills](https://github.com/gooseworks-ai/goose-skills) (commit `94ec916`, retrieved 2026-07-14)
+- License: no explicit license — referenced by link only
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `investor-call-prep` | core | Prepare for investor calls by pulling upcoming meetings from Google Calendar, deeply researching each investor and their firm (website scraping, portfolio analysis, thesis extraction), checking for competitor conflicts, and outputting an … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/research/capabilities/investor-call-prep) |
+
+## Source: harperreed/dotfiles
+
+- Repository: [https://github.com/harperreed/dotfiles](https://github.com/harperreed/dotfiles) (commit `6b5ced1`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `summarize-meetings` | core | Use when processing, summarizing, or extracting insights from meeting notes in the Obsidian vault. Triggers on "summarize meetings", "process meetings", "meeting summaries", "extract from meetings", "meeting insights". | [source](https://github.com/harperreed/dotfiles/tree/6b5ced1/.claude/skills-archive/summarize-meetings) |
+
+## 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 |
+|---|---|---|---|
+| `post-processing` | core | Extract, analyze, and summarize simulation output data — pull spatial fields at specific timesteps, compute time-series trends and detect steady state, extract line profiles through the domain, generate statistical summaries and … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/post-processing) |
+
+## Source: hypnguyen1209/offensive-claude
+
+- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `malware-analysis` | core | Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing) | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/malware-analysis) |
+
+## Source: jeremylongshore/claude-code-plugins-plus-skills
+
+- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `assemblyai-core-workflow-a` | core | Execute AssemblyAI primary workflow: async transcription with audio intelligence. Use when transcribing audio/video files, enabling speaker diarization, sentiment analysis, entity detection, PII redaction, or content moderation. Trigger … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/assemblyai-pack/skills/assemblyai-core-workflow-a) |
+| `profiling-application-performance` | core | Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/application-profiler/skills/profiling-application-performance) |
+| `granola-core-workflow-b` | core | Post-meeting note processing, sharing, and follow-up workflows in Granola. Use when enhancing notes after meetings, sharing to Slack/Notion/CRM, drafting follow-up emails, or processing action items. Trigger: "granola post-meeting", "share … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-core-workflow-b) |
+| `excel-lbo-modeler` | core | Build leveraged buyout (LBO) models in Excel with debt schedules and IRR analysis. Use when structuring LBO transactions or analyzing PE returns. Trigger with phrases like ''excel lbo'', ''build lbo model'', ''calculate pe returns''.  | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler) |
+| `excel-variance-analyzer` | core | Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like ''excel variance'', ''analyze budget variance'', … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-variance-analyzer) |
+
+## 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 |
+|---|---|---|---|
+| `dask` | core | Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/dask) |
+
+## 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 |
+|---|---|---|---|
+| `dask` | core | Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/dask) |
+
+## 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: mohitagw15856/pm-claude-skills
+
+- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `kyc-escalation` | core | Write an internal KYC/AML escalation memo: a factual time-stamped trigger description, customer-profile vs activity mismatch analysis, red-flag taxonomy mapping, outstanding information, and a recommendation with rationale. Use when asked … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-banking/skills/kyc-escalation) |
+
+## 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 |
+|---|---|---|---|
+| `detecting-process-injection-techniques` | core | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
+| `analyzing-linux-kernel-rootkits` | core | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
+| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
+| `analyzing-memory-forensics-with-lime-and-volatility` | core | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
+| `conducting-memory-forensics-with-volatility` | core | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
+| `extracting-config-from-agent-tesla-rat` | core | Extract embedded configuration from Agent Tesla RAT samples including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints using .NET decompilation and memory analysis. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/extracting-config-from-agent-tesla-rat) |
+| `performing-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) |
+| `performing-plc-firmware-security-analysis` | core | This skill covers analyzing Programmable Logic Controller (PLC) firmware for security vulnerabilities including hardcoded credentials, insecure update mechanisms, backdoor functions, memory corruption flaws, and undocumented debug … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-plc-firmware-security-analysis) |
+
+## Source: OpenSenseNova/SenseNova-Skills
+
+- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `numeric-extraction-and-distribution-analysis` | core | 从带单位的字符串列中提取数值并清洗，生成包含直方图、饼图、条形图和累积分布图的多维度综合分布可视化图表，用于展示数据的集中趋势与分布特征。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-conditional-formatting/data-bar-formatting) |
+| `statistical-distribution-and-outlier-analysis` | core | 执行数值型数据的分布分析与异常值检测，支持通过正则表达式从文本中提取误差项并生成高分辨率的箱线图与直方图报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-visualization/histogram-visualization) |
+| `time-series-and-categorical-analysis` | core | 对时间序列或分类数据进行多维度趋势分析、百分比清洗、绩效分级建模与预测，并生成高分辨率的可视化综合报告，适用于业务指标监控与预测场景。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-analysis/time-series-analysis) |
+| `categorical-comparison-analysis` | core | 对两类分类数据进行对比分析，统计数量差异与比例关系并生成可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-analysis/comparison-analysis) |
+| `category-filtering-and-difficulty-analysis` | core | 对Excel数据进行自定义分类统计、交叉分析与可视化，并基于多维度指标（如文本长度、术语密度、正则匹配等）进行综合评分与分级，适用于多类别数据分布统计及文本内容难度/质量评估场景。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-filtering/category-filtering) |
+| `dynamic-large-file-parquet-analysis` | core | 动态统计Excel总行数，当数据量过大（≥10000行）时自动转换为Parquet格式加速读取，并对指定目标列进行条件筛选、分类汇总与结果导出，适用于超大体积Excel文件的快速读取与统计分析。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-table-styling/table-theme-styling) |
+| `dynamic-percentage-and-large-file-analysis` | core | 根据文件行数动态切换大文件处理策略（Parquet转换），通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量，最终输出结构化Excel报告及可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-statistics/percentage-calculation) |
+| `excel-conditional-comparison-and-large-file-processing` | core | 对比Excel多表中的特定系数并对异常值进行颜色标记。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-cell-coloring/duplicate-value-coloring) |
+| `excel-data-analysis-and-report-generation` | core | 从Excel提取多类型数据，并生成包含可视化图表与下载链接的综合分析报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-result-export/report-generation-export) |
+| `excel-large-file-processing-and-cleaning` | core | 读取多 sheet Excel 文件，动态识别目标列进行统计，并使用正则清洗文本字段提取中文字符，最终输出标准化 Excel 文件。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/structured-header-reading) |
+| `excel-multi-sheet-dynamic-analysis` | core | 用于分析包含多个Sheet的Excel文件，动态判断数据量级以决定是否转换为Parquet进行大文件处理，并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化，最终生成带下载链接的汇总报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/specific-sheet-reading) |
+| `excel-multi-sheet-threshold-analysis` | core | 统计多Sheet Excel总行数并根据规模选择处理策略，提取特定维度信息进行去重统计，并生成摘要与明细报表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/duplicate-removal) |
+
+## 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: ruvnet/claude-code-flow
+
+- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
+| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
+| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
+
+## Source: ruvnet/ruflo
+
+- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hooks-automation) |
+| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
+| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
+
+## 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: silverstein/minutes
+
+- Repository: [https://github.com/silverstein/minutes](https://github.com/silverstein/minutes) (commit `3fb2e83`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `minutes-mirror` | core | Self-coaching analysis of your own behavior across meetings — talk-time ratio, filler words, hedging language, monologue length, energy patterns, and (when meetings are tagged via /minutes-tag) what your behavior in winning meetings looks … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-mirror) |
+
+## 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) |
+
+## 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) |
+
+## Source: wanshuiyin/Auto-claude-code-research-in-sleep
+
+- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `system-profile` | core | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says \"profile\", \"benchmark\", \"bottleneck\", or wants performance analysis. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/skills-codex/system-profile) |
+
+## Source: zebbern/claude-code-guide
+
+- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `regression-modeler` | core | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |
+| `vc-industry-research` | core | Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/vc-industry-research) |
--- a/references/market.md
+++ b/references/market.md
@@ -0,0 +1,111 @@
+# Market evidence report — remote-sensing-technician
+
+Source: **22 real job ads** (JSearch API, countries: us 22), extracted into the MSSQL evidence store; as of 2026-07-19.
+This report contains extracted, aggregated facts only — no ad text is
+reproduced (copyright / platform terms).
+
+## Seniority distribution
+
+| Seniority | Ads | Share |
+|---|---|---|
+| mid | 9 | 41 % |
+| senior | 7 | 32 % |
+| n/a | 2 | 9 % |
+| junior | 2 | 9 % |
+| lead | 2 | 9 % |
+
+## Tools — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | Python | 6 | 27 % |
+| 2 | ArcGIS | 5 | 23 % |
+| 3 | AWS | 5 | 23 % |
+| 4 | ENVI | 5 | 23 % |
+| 5 | ERDAS IMAGINE | 4 | 18 % |
+| 6 | Google Earth Engine | 4 | 18 % |
+| 7 | Landsat | 4 | 18 % |
+| 8 | QGIS | 4 | 18 % |
+| 9 | Sentinel | 4 | 18 % |
+| 10 | Azure | 3 | 14 % |
+| 11 | GDAL | 3 | 14 % |
+| 12 | LiDAR | 3 | 14 % |
+| 13 | rasterio | 3 | 14 % |
+| 14 | scikit-learn | 3 | 14 % |
+
+## Hard skills — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | remote sensing | 13 | 59 % |
+| 2 | data analysis | 9 | 41 % |
+| 3 | algorithm development | 7 | 32 % |
+| 4 | statistical modeling | 5 | 23 % |
+| 5 | crop monitoring | 4 | 18 % |
+| 6 | aerial data post-processing | 3 | 14 % |
+| 7 | image processing | 3 | 14 % |
+| 8 | lidar data processing | 3 | 14 % |
+| 9 | quality control | 3 | 14 % |
+
+## Methods — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | machine learning | 4 | 18 % |
+
+## Responsibilities — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | data processing | 6 | 27 % |
+| 2 | data analysis | 5 | 23 % |
+| 3 | model development | 4 | 18 % |
+| 4 | team mentoring | 4 | 18 % |
+| 5 | deliverable creation | 3 | 14 % |
+| 6 | methodology development | 3 | 14 % |
+| 7 | technical guidance | 3 | 14 % |
+
+## Regional breakdown
+
+> **Corpus note:** 22 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
+
+### US (us)
+
+**Insufficient evidence** — 22 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
+
+### UK (gb)
+
+**Insufficient evidence** — 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 |
+|---|---|
+| Lead Remote Sensing Scientist (Agriculture) | 2 |
+| [Remote] Principal Geospatial Scientist (Remote Sensing) | 1 |
+| [Remote] Senior Remote Sensing Technician | 1 |
+| Assistant Research Scientist in UAV Remote Sensing and Geospatial AI | 1 |
+| Data Scientist(Remote Sensing) | 1 |
+| HAB Forecasting Scientist: Remote Sensing & Modeling | 1 |
+| Plant Traits Scientist: In Situ & Remote Sensing | 1 |
+| Principal Geospatial Scientist (Remote Sensing) | 1 |
+| Remote Sensing Scientist | 1 |
+| Remote Sensing Scientist - Agricultural Applications | 1 |
+| Remote Sensing Scientist – Agricultural Applications | 1 |
+| Remote Sensing Scientist Forest Biomass & Carbon Dynamics | 1 |
+| Remote Sensing Technician | 1 |
+| Remote Sensing Technician - DoD SkillBridge Members Only | 1 |
+| Research Scientist - Remote Sensing Technology & Lab Specialist | 1 |
+| Senior Remote Sensing Scientist — GEOINT & Data Exploitation | 1 |
+| Senior Remote Sensing Technician | 1 |
+| Senior Remote Sensing Technician - Aerial Data Specialist | 1 |
+| Senior Remote Sensing Technician - Lead Aerial Data | 1 |
+| Senior Remote Sensing Technician: LiDAR & Aerial Data Lead | 1 |
+| Senior Scientist / Engineer: Remote Sensing of reputed company reputed company & Tracking | 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.
--- a/references/profile.md
+++ b/references/profile.md
@@ -0,0 +1,31 @@
+# Occupation profile — remote sensing technician
+
+- **ESCO URI:** http://data.europa.eu/esco/occupation/b176e5d7-1f94-495c-907f-80a7f61aed59
+- **ESCO code:** 3111.13
+- **ISCO-08 group:** 3111 — Chemical and physical science technicians
+- **O*NET-SOC:** 19-4099.03 — Remote Sensing Technicians (match: exactMatch)
+
+## Description (ESCO)
+
+Remote sensing technicians collect airborne data. They utilise equipment aimed for the collection of data and determination of geographical points in order to help in a variety of operations such as land conservation, urban planning, and military operations.
+
+## Definition
+
+nan
+
+## Alternative labels
+
+- remote sensing technology scientist
+- remote sensing technology researcher
+- remote sensing technology studies research scientist
+- remote sensing technology scholar
+- remote sensing technology studies researcher
+- remote sensing technology analyst
+- remote sensing technology studies scholar
+- remote sensing technology studies analyst
+- remote sensing technology research analyst
+- remote sensing technology studies scientist
+- remote sensing technology studies research analyst
+- remote sensing technologist
+- remote sensing technology science researcher
+- remote sensing technology research scientist
--- a/references/skills.md
+++ b/references/skills.md
@@ -0,0 +1,77 @@
+# Competences — remote sensing technician
+
+Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/b176e5d7-1f94-495c-907f-80a7f61aed59).
+
+## Essential
+
+- **collect data using GPS** (skill/competence)
+- **collect real-time geolocation information** (skill/competence)
+- **execute analytical mathematical calculations** (skill/competence)
+- **geodesy** (knowledge)
+- **geographic information systems** (knowledge)
+- **geography** (knowledge)
+- **geomatics** (knowledge)
+- **interpret visual literacy** (skill/competence)
+- **keep task records** (skill/competence)
+- **log transmitter readings** (skill/competence)
+- **mathematics** (knowledge)
+- **photogrammetry** (knowledge)
+- **remote sensing techniques** (knowledge)
+- **study aerial photos** (skill/competence)
+- **study radar images** (skill/competence)
+- **surveying** (knowledge)
+- **use geographic information systems** (skill/competence)
+
+## Optional
+
+- apply digital mapping (skill/competence)
+- assist scientific research (skill/competence)
+- cartography (knowledge)
+- civil engineering (knowledge)
+- collect mapping data (skill/competence)
+- compile GIS-data (skill/competence)
+- computer simulation (knowledge)
+- conduct research on climate processes (skill/competence)
+- create cadastral maps (skill/competence)
+- create GIS reports (skill/competence)
+- create strategic maps (skill/competence)
+- create thematic maps (skill/competence)
+- develop geological databases (skill/competence)
+- Earth science (knowledge)
+- engineering principles (knowledge)
+- geology (knowledge)
+- geophysics (knowledge)
+- interpret geophysical data (skill/competence)
+- operate remote sensing equipment (skill/competence)
+- prepare geological map sections (skill/competence)
+- research remote sensing technologies (skill/competence)
+- solve location and navigation problems by using GPS tools (skill/competence)
+- topography (knowledge)
+- use CAD software (skill/competence)
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 22 ads, as of 2026-07-19)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Hard skills
+
+- remote sensing — **59 %**
+- data analysis — **41 %**
+- algorithm development — **32 %**
+- statistical modeling — **23 %**
+- crop monitoring — **18 %**
+
+### Methods
+
+- machine learning — **18 %**
+
+### Responsibilities
+
+- data processing — **27 %**
+- data analysis — **23 %**
+- model development — **18 %**
+- team mentoring — **18 %**
+
+<!-- market-evidence -->
--- a/references/tasks.md
+++ b/references/tasks.md
@@ -0,0 +1,50 @@
+# Tasks & work activities — remote sensing technician
+
+Source: O*NET 30.3, occupation 19-4099.03 (Remote Sensing Technicians).
+
+## Task statements
+
+- **[Core]** Participate in the planning or development of mapping projects.
+- **[Core]** Verify integrity and accuracy of data contained in remote sensing image analysis systems.
+- **[Core]** Prepare documentation or presentations, including charts, photos, or graphs.
+- **[Core]** Merge scanned images or build photo mosaics of large areas, using image processing software.
+- **[Core]** Integrate remotely sensed data with other geospatial data.
+- **[Core]** Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.
+- **[Core]** Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.
+- **[Core]** Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.
+- **[Core]** Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.
+- **[Supplemental]** Maintain records of survey data.
+- **[Supplemental]** Document methods used and write technical reports containing information collected.
+- **[Supplemental]** Develop specialized computer software routines to customize and integrate image analysis.
+- **[Supplemental]** Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers.
+- **[Supplemental]** Monitor raw data quality during collection, and make equipment corrections as necessary.
+- **[Supplemental]** Evaluate remote sensing project requirements to determine the types of equipment or computer software necessary to meet project requirements, such as specific image types or output resolutions.
+- **[Supplemental]** Develop or maintain geospatial information databases.
+- **[Supplemental]** Correct raw data for errors due to factors such as skew or atmospheric variation.
+- **[Supplemental]** Calibrate data collection equipment.
+- **[nan]** Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices.
+- **[nan]** Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change.
+- **[nan]** Provide remote sensing data for use in addressing environmental issues, such as surface water modeling or dust cloud detection.
+
+## Detailed work activities
+
+- Analyze geological or geographical data.
+- Analyze physical, survey, or geographic data.
+- Calibrate scientific or technical equipment.
+- Collaborate with outside groups to develop programs or projects.
+- Collaborate with technical specialists to resolve design or development problems.
+- Collect environmental data or samples.
+- Collect geographical or geological field data.
+- Communicate project information to others.
+- Communicate results of environmental research.
+- Create images or other visual displays.
+- Create maps.
+- Determine types of equipment, tools, or materials needed for jobs.
+- Develop software or applications for scientific or technical use.
+- Develop technical or scientific databases.
+- Evaluate characteristics of equipment or systems.
+- Evaluate data quality.
+- Plan environmental research.
+- Prepare scientific or technical reports or presentations.
+- Record research or operational data.
+- Verify accuracy of data.
--- a/references/tools.md
+++ b/references/tools.md
@@ -0,0 +1,121 @@
+# Tools & technology — remote sensing technician
+
+Source: O*NET 30.3 'Software Skills' for 19-4099.03.
+
+| Software | Category | Hot technology |
+|---|---|---|
+| SAS | Analytical or scientific software | yes |
+| The MathWorks MATLAB | Analytical or scientific software | yes |
+| GitHub | Application server software | yes |
+| Splunk Enterprise | Cloud-based management software | yes |
+| Autodesk AutoCAD | Computer aided design CAD software | yes |
+| Bentley MicroStation | Computer aided design CAD software | yes |
+| Salesforce software | Customer relationship management CRM software | yes |
+| Microsoft SQL Server | Data base management system software | yes |
+| MySQL | Data base management system software | yes |
+| Amazon Elastic Compute Cloud EC2 | Data base user interface and query software | yes |
+| Amazon Web Services AWS software | Data base user interface and query software | yes |
+| Microsoft Access | Data base user interface and query software | yes |
+| Oracle Database | Data base user interface and query software | yes |
+| ServiceNow | Data base user interface and query software | yes |
+| Structured query language SQL | Data base user interface and query software | yes |
+| Google Analytics | Data mining software | yes |
+| C | Development environment software | yes |
+| Microsoft .NET Framework | Development environment software | yes |
+| Microsoft Azure software | Development environment software | yes |
+| Microsoft PowerShell | Development environment software | yes |
+| Microsoft Visual Studio | Development environment software | yes |
+| Microsoft Outlook | Electronic mail software | yes |
+| SAP software | Enterprise resource planning ERP software | yes |
+| Ansible software | Expert system software | yes |
+| Git | File versioning software | yes |
+| ESRI ArcGIS software | Geographic information system | yes |
+| Adobe Creative Cloud software | Graphics or photo imaging software | yes |
+| Adobe Photoshop | Graphics or photo imaging software | yes |
+| C# | Object or component oriented development software | yes |
+| C++ | Object or component oriented development software | yes |
+| Oracle Java | Object or component oriented development software | yes |
+| Perl | Object or component oriented development software | yes |
+| Python | Object or component oriented development software | yes |
+| R | Object or component oriented development software | yes |
+| Microsoft Office software | Office suite software | yes |
+| Linux | Operating system software | yes |
+| Microsoft Windows | Operating system software | yes |
+| Microsoft Windows Server | Operating system software | yes |
+| Shell script | Operating system software | yes |
+| UNIX | Operating system software | yes |
+| UNIX Shell | Operating system software | yes |
+| Microsoft PowerPoint | Presentation software | yes |
+| Atlassian Confluence | Project management software | yes |
+| Atlassian JIRA | Project management software | yes |
+| Microsoft Project | Project management software | yes |
+| Microsoft Excel | Spreadsheet software | yes |
+| AJAX | Web platform development software | yes |
+| Cascading style sheets CSS | Web platform development software | yes |
+| Hypertext markup language HTML | Web platform development software | yes |
+| JavaScript | Web platform development software | yes |
+| jQuery | Web platform development software | yes |
+| React | Web platform development software | yes |
+| Microsoft Word | Word processing software | yes |
+| Agisoft Metashape | Analytical or scientific software |  |
+| Calibration software | Analytical or scientific software |  |
+| CloudCompare | Analytical or scientific software |  |
+| Common MASINT Exploitation Tool COMET | Analytical or scientific software |  |
+| Corpscon | Analytical or scientific software |  |
+| Definiens Developer | Analytical or scientific software |  |
+| FLIR Thermal Studio Suite | Analytical or scientific software |  |
+| GeoCue LIDAR and drone mapping software | Analytical or scientific software |  |
+| GeoCue PointVue LE | Analytical or scientific software |  |
+| Kitty Hawk | Analytical or scientific software |  |
+| Laser imaging detection and ranging LIDAR system | Analytical or scientific software |  |
+| Litchi | Analytical or scientific software |  |
+| LP360 | Analytical or scientific software |  |
+| Opticks | Analytical or scientific software |  |
+| Pix4D Pix4Dmapper | Analytical or scientific software |  |
+| Terrasolid TerraScan | Analytical or scientific software |  |
+| UgCS | Analytical or scientific software |  |
+| ArduPilot Mission Planner | Aviation ground support software |  |
+| Aeronautical charts | Charting software |  |
+| VMware | Clustering software |  |
+| Mathsoft Mathcad | Computer aided design CAD software |  |
+| Structure query language SQL | Data base user interface and query software |  |
+| Interface definition language IDL | Development environment software |  |
+| Verilog | Development environment software |  |
+| ESRI ArcCatalog | Geographic information system |  |
+| ESRI ArcMap | Geographic information system |  |
+| ESRI ArcView 3D Analyst | Geographic information system |  |
+| Geographic information system GIS systems | Geographic information system |  |
+| QGIS | Geographic information system |  |
+| Microsoft Image Composite Editor | Graphics or photo imaging software |  |
+| Web browser software | Internet browser software |  |
+| Applied Imagery Quick Terrain Modeler | Map creation software |  |
+| BAE Systems SOCET SET | Map creation software |  |
+| ESRI Site Scan for ArcGIS | Map creation software |  |
+| ITT Visual Information Solutions ENVI | Map creation software |  |
+| Leica Geosystems ERDAS IMAGINE | Map creation software |  |
+| OpenDroneMap | Map creation software |  |
+| Global positioning system GPS software | Mobile location based services software |  |
+| Magellan Firmware | Operating system software |  |
+| Debugging software | Program testing software |  |
+| Airdata | Project management software |  |
+| Hypertext preprocessor PHP | Web platform development software |  |
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 22 ads, as of 2026-07-19)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Tools
+
+- Python — **27 %**
+- ArcGIS — **23 %**
+- AWS — **23 %**
+- ENVI — **23 %**
+- ERDAS IMAGINE — **18 %**
+- Google Earth Engine — **18 %**
+- Landsat — **18 %**
+- QGIS — **18 %**
+- Sentinel — **18 %**
+
+<!-- market-evidence -->