feat: landscape-architect skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 17:00:35 +02:00
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# Data provenance — landscape-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 — landscape-architect
"ESCO (occupation & competences)" : 53
"O*NET (tasks & tools)" : 62
"Job boards (market evidence)" : 112
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 168
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 53 | 13.2 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 62 | 15.5 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 112 | 28.0 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.2 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 168 | 42.0 % | 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: landscape-architect
description: "Occupational skill for the role 'landscape architect' (also: landscape design expert, landscape engineer, landscape artist, landscapes architect, landscape design specialist, landscape expert). Use when the user asks for typical landscape architect work such as: Prepare graphic representations or drawings of proposed plans or designs.; Collaborate with architects or related professionals on whole building design to maximize the aesthetic features of structures or surrounding land and to improve energy efficiency.; Create landscapes that minimize water consumption such as by incorporating drought-resistant grasses or indigenous plants."
---
# Landscape Architect
Landscape architects plan and design the construction of gardens and natural spaces. They determine the specifications and distribution of the space. Moreover, landscape architects research and analyse the potential of the landscape at all stages, scales and contexts of the development process, combining, an understanding of the natural space with a sense of aesthetics in order to create a harmonious space.
## Core workflow
1. Prepare graphic representations or drawings of proposed plans or designs.
2. Collaborate with architects or related professionals on whole building design to maximize the aesthetic features of structures or surrounding land and to improve energy efficiency.
3. Create landscapes that minimize water consumption such as by incorporating drought-resistant grasses or indigenous plants.
4. Design and integrate rainwater harvesting or gray and reclaimed water systems to conserve water into building or land designs.
5. Identify and select appropriate sustainable materials for use in landscape designs, such as recycled wood or recycled concrete boards for structural elements or recycled tires for playground bedding.
6. Confer with clients, engineering personnel, or architects on landscape projects.
7. Prepare site plans, specifications, or cost estimates for land development.
8. Analyze data on conditions such as site location, drainage, or structure location for environmental reports or landscaping plans.
## 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)
- advise on landscapes
- aesthetics
- architecture regulations
- design landscape schemes
- design spatial layout of outdoor areas
- develop architectural plans
- ecology
- green space strategies
- identify customer's needs
- integrate measures in architectural designs
- landscape analysis
- landscape architecture
- landscape design
- manage landscape design projects
- provide cost benefit analysis reports
## Hot technologies
- Autodesk AutoCAD
- Autodesk AutoCAD Civil 3D
- Autodesk Revit
- Bentley MicroStation
- Trimble SketchUp Pro
- Microsoft Access
- Adobe InDesign
- Adobe Acrobat
- Microsoft Outlook
- ESRI ArcGIS software
<!-- hot-tech -->
## Hot technologies
Top tools from 31 gated job ads (see references/market.md, as of 2026-07-14):
- AutoCAD — 55 %
- SketchUp — 42 %
- Adobe Creative Suite — 35 %
- Civil 3D — 16 %
- Lumion — 16 %
- Revit — 16 %
- Adobe Photoshop — 13 %
- CAD software — 13 %
- Microstation — 13 %
- Adobe Illustrator — 10 %
<!-- hot-tech -->
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/52207284-2681-40d3-a317-ec81ca1b3e41), O*NET 30.3 (17-1012.00). See manifest.json for licensing/attribution.*

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{
"name": "landscape-architect",
"title": "landscape architect",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/52207284-2681-40d3-a317-ec81ca1b3e41",
"esco_code": "2162.1",
"isco_group": "2162",
"onet_soc": "17-1012.00",
"crosswalk_match": "exactMatch"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 19,
"dwas": 15,
"skills_essential": 18,
"skills_optional": 34,
"software": 27
},
"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
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 2
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 2
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 6
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 3
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 6
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 12
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 1
},
"SamurAIGPT/Generative-Media-Skills": {
"repo": "https://github.com/SamurAIGPT/Generative-Media-Skills",
"commit": "a1c4c98",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 4
},
"Leonxlnx/taste-skill": {
"repo": "https://github.com/Leonxlnx/taste-skill",
"commit": "b177427",
"license": "MIT",
"skills": 1
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 1
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 12
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 7
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 2
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 1
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 2
},
"AlpacaLabsLLC/skills-for-architects": {
"repo": "https://github.com/AlpacaLabsLLC/skills-for-architects",
"commit": "4476576",
"license": "MIT",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 1
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"coreyhaines31/makerskills": {
"repo": "https://github.com/coreyhaines31/makerskills",
"commit": "17218de",
"license": "MIT",
"skills": 1
},
"evo-hq/evo": {
"repo": "https://github.com/evo-hq/evo",
"commit": "f5e7e9b",
"license": "Apache-2.0",
"skills": 1
},
"jeffallan/claude-skills": {
"repo": "https://github.com/jeffallan/claude-skills",
"commit": "e8be415",
"license": "MIT",
"skills": 1
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"AgriciDaniel/claude-ads": {
"repo": "https://github.com/AgriciDaniel/claude-ads",
"commit": "669c760",
"license": "MIT",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 2
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 51,
"adjacent": 29
}
},
"provenance": {
"items": {
"esco": 53,
"onet": 62,
"jobads": 112,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 168,
"stackx": 0
},
"share_percent": {
"esco": 13.2,
"onet": 15.5,
"jobads": 28.0,
"wiki_ai": 0.0,
"anthropic": 1.2,
"ai_skills": 42.0,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — landscape-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 |
|---|---|---|---|
| `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 |
|---|---|---|---|
| `context-engineering` | core | Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/context-engineering) |
| `portfolio-construction` | core | Construct and optimize investment portfolios — asset allocation, risk budgeting, factor exposure management, and mean-variance optimization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/finance-accounting/skills/portfolio-construction) |
| `doe-designer` | adjacent | Design of Experiments planning and analysis skill for factorial and response surface experiments. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/doe-designer) |
| `growing-outside-in-systems` | adjacent | 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) |
| `A/B Test Design` | adjacent | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
| `quantitative-methods` | adjacent | Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods) |
| `simulation-experiment-designer` | adjacent | Simulation experimental design skill for efficient scenario analysis and optimization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/simulation-experiment-designer) |
## 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 |
|---|---|---|---|
| `memory-management` | core | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
## 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 |
|---|---|---|---|
| `competitive-report-structure` | core | Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/competitive-report-structure) |
## Source: AgriciDaniel/claude-ads
- Repository: [https://github.com/AgriciDaniel/claude-ads](https://github.com/AgriciDaniel/claude-ads) (commit `669c760`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ads-test` | adjacent | Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, … | [source](https://github.com/AgriciDaniel/claude-ads/tree/669c760/skills/ads-test) |
## Source: AgriciDaniel/claude-blog
- Repository: [https://github.com/AgriciDaniel/claude-blog](https://github.com/AgriciDaniel/claude-blog) (commit `49842ea`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-strategy) |
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-audit) |
## Source: AlpacaLabsLLC/skills-for-architects
- Repository: [https://github.com/AlpacaLabsLLC/skills-for-architects](https://github.com/AlpacaLabsLLC/skills-for-architects) (commit `4476576`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `zoning-envelope` | core | Generate interactive 3D zoning envelope viewers from zoning analysis reports. Use when the user asks to "visualize the zoning envelope" or see buildable massing in 3D, typically after /as:zoning-analysis-nyc. Requires a zoning analysis … | [source](https://github.com/AlpacaLabsLLC/skills-for-architects/tree/4476576/skills/zoning-envelope) |
## 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` | adjacent | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
- License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `c1` | core | VS-Enhanced Quantitative Design Consultant with Materials & Sampling Enhanced VS 3-Phase process: Avoids obvious experimental designs, proposes context-optimal quantitative strategies Absorbed C4 (Experimental Materials Developer) and D1 … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/c1) |
| `deep-research-skills` | core | 13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/deep-research) |
| `hud` | core | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
| `automation-skills` | adjacent | 10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/automation) |
| `citation-skills` | adjacent | 22 citation management skills. Trigger: managing references, formatting citations, BibTeX, bibliographies. Design: reference manager integrations and citation style guides (APA, IEEE, etc.). | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/writing/citation) |
| `aer-statspai` | adjacent | Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/50-brycewang-aer-skills/skills/aer-statspai) |
| `law-skills` | adjacent | 9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law) |
| `metadata-skills` | adjacent | 24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/literature/metadata) |
| `psychology-research-guide` | adjacent | Psychological research methods, experimental design, and analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/psychology-research-guide) |
| `statistics-skills` | adjacent | 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics) |
| `universal-ma-codebook` | adjacent | Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/universal-ma-codebook) |
| `identify` | adjacent | Design or review identification strategy for the sewage-house-prices project. Produces strategy memos with estimand, assumptions, pseudo-code, robustness plan, falsification tests, and referee objection anticipation. This skill should be … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/41-sticerd-eee-sewage-econometrics-check/skills/identify) |
## Source: coreyhaines31/makerskills
- Repository: [https://github.com/coreyhaines31/makerskills](https://github.com/coreyhaines31/makerskills) (commit `17218de`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `pm` | core | When you want to manage projects across your businesses using a kanban + Eisenhower methodology. One kanban per business (whatever portfolio of businesses, projects, or initiatives you run). Tool-agnostic — connects via API/MCP to whatever … | [source](https://github.com/coreyhaines31/makerskills/tree/17218de/skills/pm) |
## 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 |
|---|---|---|---|
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/latex-posters) |
| `pymoo` | core | Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pymoo) |
| `interactive-portfolio` | core | Expert in building portfolios that actually land jobs and clients - not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/creative-design/interactive-portfolio) |
| `scientific-critical-thinking` | adjacent | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
## Source: evo-hq/evo
- Repository: [https://github.com/evo-hq/evo](https://github.com/evo-hq/evo) (commit `f5e7e9b`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ship` | core | Land the winning experiment from an evo run as a clean, mergeable change -- open a PR when the repo has a remote, otherwise merge into the working branch. Distills the best-scoring experiment down to the minimal diff that reproduces its … | [source](https://github.com/evo-hq/evo/tree/f5e7e9b/plugins/evo/npm/skills/ship) |
## Source: ferdinandobons/startup-skill
- Repository: [https://github.com/ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill) (commit `a5f97c3`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `startup-design` | adjacent | Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup … | [source](https://github.com/ferdinandobons/startup-skill/tree/a5f97c3/startup-design) |
## Source: foryourhealth111-pixel/Vibe-Skills
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/geomaster) |
| `designing-experiments` | adjacent | Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/designing-experiments) |
## Source: HeshamFS/materials-simulation-skills
- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `parameter-optimization` | adjacent | Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/parameter-optimization) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-strategy) |
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-audit) |
## Source: jeffallan/claude-skills
- Repository: [https://github.com/jeffallan/claude-skills](https://github.com/jeffallan/claude-skills) (commit `e8be415`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `kotlin-specialist` | adjacent | Provides idiomatic Kotlin implementation patterns including coroutine concurrency, Flow stream handling, multiplatform architecture, Compose UI construction, Ktor server setup, and type-safe DSL design. Use when building Kotlin … | [source](https://github.com/jeffallan/claude-skills/tree/e8be415/skills/kotlin-specialist) |
## 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 |
|---|---|---|---|
| `surge-landing` | core | Use when asked to design growth-optimized landing pages, activation funnel layouts, or experiment-friendly page structures. Examples: "growth-optimized landing", "activation funnel layout", "A/B testable page | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/bundle/revenue-team/skills/surge-landing) |
| `procore-reference-architecture` | core | Procore reference architecture \u2014 construction management platform\ \ integration.\nUse when working with Procore API for project management, RFIs,\ \ or submittals.\nTrigger with phrases like \"procore reference architecture\",\ \ … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-reference-architecture) |
| `windsurf-cascade-context` | core | Manage Cascade context window and memory for complex projects. Activate when users mention "cascade context", "ai memory", "context management", "large codebase navigation", or "multi-session development". Handles context optimization and … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-cascade-context) |
| `apify-cost-tuning` | core | Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger: "apify cost", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/apify-pack/skills/apify-cost-tuning) |
| `procore-cost-tuning` | core | Procore cost tuning \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore cost tuning\", \"procore-cost-tuning\".\n | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-cost-tuning) |
| `procore-ci-integration` | core | Procore ci integration \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore ci integration\", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-ci-integration) |
| `procore-common-errors` | core | Procore common errors \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore common errors\", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-common-errors) |
| `procore-core-workflow-a` | core | Procore core workflow a \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore core workflow a\", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-core-workflow-a) |
| `procore-core-workflow-b` | core | Procore core workflow b \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore core workflow b\", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-core-workflow-b) |
| `procore-data-handling` | core | Procore data handling \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore data handling\", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-data-handling) |
| `procore-debug-bundle` | core | Procore debug bundle \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore debug bundle\", \"procore-debug-bundle\".\n | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-debug-bundle) |
| `procore-deploy-integration` | core | Procore deploy integration \u2014 construction management platform integration.\n\ Use when working with Procore API for project management, RFIs, or submittals.\n\ Trigger with phrases like \"procore deploy integration\", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/procore-pack/skills/procore-deploy-integration) |
## Source: K-Dense-AI/claude-scientific-skills
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hugging-science) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/latex-posters) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/geomaster) |
| `liteparse` | core | Local document and PDF parsing with spatial text and bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; OCR on scans; layout-preserved JSON for RAG; batch-ingesting paper folders; or page screenshots for … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/liteparse) |
| `experimental-design` | adjacent | Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/experimental-design) |
## Source: K-Dense-AI/scientific-agent-skills
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hugging-science) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/latex-posters) |
| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/geomaster) |
| `liteparse` | core | Local document and PDF parsing with spatial text and bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; OCR on scans; layout-preserved JSON for RAG; batch-ingesting paper folders; or page screenshots for … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/liteparse) |
| `experimental-design` | adjacent | Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/experimental-design) |
## Source: Leonxlnx/taste-skill
- Repository: [https://github.com/Leonxlnx/taste-skill](https://github.com/Leonxlnx/taste-skill) (commit `b177427`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `design-taste-frontend-v1` | core | The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward … | [source](https://github.com/Leonxlnx/taste-skill/tree/b177427/skills/taste-skill-v1) |
## 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 |
|---|---|---|---|
| `async-decision-memo` | core | Run a decision asynchronously — the memo, the silent-read window, the comment protocol, and the deadline that makes it land without a meeting. Use when asked to decide something async, replace a decision meeting with a document, run an … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-operations/skills/async-decision-memo) |
## Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
| `detecting-fileless-malware-techniques` | core | Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-fileless-malware-techniques) |
## Source: nexu-io/open-design
- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `design-taste-frontend-v1` | core | The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward … | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/taste-skill-v1) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-interviewing-techniques` | adjacent | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cro-optimization` | adjacent | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
| `experiment-design` | adjacent | A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/experiment-design) |
## Source: rohitg00/skillkit
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `root-cause-analysis` | core | Performs systematic root cause analysis to identify the true source of bugs, errors, and unexpected behavior through structured investigation phases — not just treating symptoms. Use when a user reports a bug, crash, error, or broken … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/debugging/root-cause-analysis) |
| `design-first` | adjacent | Guides the creation of technical design documents before writing code, producing architecture diagrams, data models, API interface definitions, implementation plans, and multi-option trade-off analyses. Use when the user asks to plan a … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/planning/design-first) |
## 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 |
|---|---|---|---|
| `research-synthesize` | core | Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/plugins/ruflo-goals/skills/research-synthesize) |
## 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 |
|---|---|---|---|
| `research-synthesize` | core | Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations | [source](https://github.com/ruvnet/ruflo/tree/73914bd/plugins/ruflo-goals/skills/research-synthesize) |
## Source: SamurAIGPT/Generative-Media-Skills
- Repository: [https://github.com/SamurAIGPT/Generative-Media-Skills](https://github.com/SamurAIGPT/Generative-Media-Skills) (commit `a1c4c98`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `muapi-floor-plan-rendering` | core | Design a 2D floor plan and convert it into a realistic, high-quality 3D architectural rendering. | [source](https://github.com/SamurAIGPT/Generative-Media-Skills/tree/a1c4c98/library/visual/floor-plan-rendering) |
## 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 |
|---|---|---|---|
| `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) |

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# Berufsbild (Deutschland) — Landschaftsarchitekt/in
> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 100513,
> KldB 2010: B 12144 · via öffentliche BERUFENET-API,
> abgerufen 2026-07-12. Automatisches Label-Matching
> (Score 1.00); Inhalte paraphrasiert/gekürzt, Volltext beim
> Original: https://web.arbeitsagentur.de/berufenet/beruf/100513
## Aufgaben und Tätigkeiten kompakt
Landschaftsarchitekten und Landschaftsarchitektinnen gestalten Lebensräume und entwickeln natürliche sowie urbane Landschaften weiter. Sie planen Parks, Plätze und Grünanlagen, prüfen Umweltverträglichkeit und verbinden dabei gestalterische, ökologische und soziale Anforderungen. Bei Projekten für öffentliche oder private Auftraggebende achten sie auf funktionale, klimatische und wirtschaftliche Aspekte. Zusätzlich arbeiten sie in Fachverbänden, übernehmen Managementaufgaben oder beraten als Sachverständige. Auch bei internationalen Umwelt- und Naturschutzprojekten bringen sie ihr Fachwissen ein.
## Tätigkeitsbezeichnungen
Landschaftsarchitekt/in
Auch übliche Berufsbezeichnungen/SynonymeFreiraumplaner/in
Landschafts- und Freiraumplaner/in
Berufsbezeichnungen in englischer SpracheLandscape architect (m/f)
Landscape planner (m/f)
Berufsbezeichnung in französischer SpracheArchitecte paysagiste (m/f)
## Die Tätigkeit im Überblick
Landschaftsarchitekten und Landschaftsarchitektinnen entwerfen öffentliche oder private Freiräume und entwickeln Konzepte für Stadtplanung und Naturschutz. Dabei berücksichtigen sie Klimaschutz und Klimaanpassung von der Planung bis zur Genehmigung.
## Trends
Klimaschutz in Landschaftsbau und -architekturMaßnahmen zum Klimaschutz und zur Klimaschutzanpassung werden auch in Bereichen wie dem Landschaftsbau und der Landschaftsarchitektur immer wichtiger. Starkregenereignisse, Überflutungen, Trockenheit und Hitzestress - alle Freiräume müssen auf diese Aspekte hin geprüft und funktional weiterentwickelt werden. Ausgleich schaffen grün-blaue Infrastrukturen wie z.B. Retentionsflächen für Niederschläge, Gründächer oder durchlässige Pflasterungen. Auch die Planung von sog. Frischluftschneisen hilft dabei, Grünflächen zu verbessern und aufzuwerten. Zudem ist es für den Klimaschutz notwendig, natürliche Ökosysteme wie Wälder, Wiesen und Moore zu schützen und zu renaturieren, um sie als Treibhausgassenken zu nutzen. Sie dienen auch dem Hochwasserschutz und der Wasserrückhaltung in der Landschaft. Fachkräfte werden sich die erforderlichen Kenntnisse aneignen, um die Maßnahmen optimal einzusetzen.
VR und AR in der (Landschafts-) und (Innen-)ArchitekturComputergenerierte, interaktive 3D-Umgebung, die mit speziellen Technologien (z.B. VR-Brillen) erlebet werden kann
" name="Virtual Reality">Virtual Reality (VR) und deutsch: erweiterte Realität
Kombination aus wahrgenommener und vom Computer erzeugter Realität; z.B. können über eine halbtransparente Datenbrille kontextabhängige, digitale Informationen wie Texte, Videos oder Grafiken in das Sichtfeld eingeblendet und in die reale Umgebung integriert werden
" name="Augmented Reality">Augmented Reality (AR) sollen eine fotorealistische Umsetzung von (Bau-)Projekten ermöglichen. Die VR- und AR-Brillen stellen die abstrakten Pläne begeh- und erlebbar dar. Die virtuellen Pläne erleichtern die Kommunikation zwischen beteiligten Parteien. Sie sorgen zudem für mehr Planungs- und Budgetsicherheit und unterstützen Fachkräfte bei der Planung und Umsetzung. Im Vergleich zu Modellen am Bildschirm verschafft die 360-Grad-Umsicht einen umfassenderen Überblick und zeigt z.B. den Lichteinfall in Räumen. Führungskräfte sowie Entscheidungsträger und Entscheidungsträgerinnen müssen sich für die Anwendung der Technologie das nötige Wissen aneignen und gezielte Investitionsentscheidungen treffen.
Neues Europäisches Bauhaus und RenovierungswelleDie Europäische Kommission hat im September 2020 das "neue Europäische Bauhaus" ins Leben gerufen. Dieses entwickelt neue, nachhaltige und klimaneutrale Bauweisen und Designformen. Technologien wie englisch: Artificial Intelligence (AI)
Teilgebiet der Info
## Aufgaben und Tätigkeiten (Beschreibung)
Worum geht es?Landschaftsarchitekten und -architektinnen entwerfen öffentliche oder private Freiräume, entwickeln Landschaften, nehmen Aufgaben in der Stadtplanung und im Naturschutz wahr. Sie realisieren Projekte unter Berücksichtigung von Klimaanpassungs- und Klimaschutzaspekten vom Entwurf bis zur Genehmigung.
Freiräume entwerfenFreiräume wie Park- und Grünanlagen, Fußgängerzonen und Plätze, Spielplätze und Schulhöfe oder die Außenbereiche von Wohngebäuden, Industrieanlagen und Kliniken schaffen Räume für Begegnung, Kommunikation, Naherholung und beeinflussen das Stadtklima sowie die Biodiversität positiv. In ihren Planungen übersetzen Landschaftsarchitekten und -architektinnen die Ansprüche und Bedürfnisse der Menschen an gestaltete Freiflächen. Dies können, neben öffentlichen, auch privat genutzte Freiräume sein, beispielsweise Haus-, Firmen- oder Dachgärten.
Neben der Planung neuer Freiräume gehören auch die Sanierung von Grün- und Freianlagen, die Instandsetzung historischer Parks und Gärten sowie die Gestaltung von Fassaden-, Innenraum- und Dachbegrünungen zu ihren Aufgaben. Sie planen die Auswahl und Verwendung von Pflanzen, die Anlage von Wegen, Lehr- und Gesundheitspfaden und erstellen ggf. Konzepte zur Beleuchtung oder zur Regenwasserbewirtschaftung.
Landschaften entwickelnIm Bereich Landschaftsplanung steht die Erhaltung der Schönheit und Vielfalt von Landschaften sowie die Entwicklung und Pflege von Kulturlandschaften im Mittelpunkt. Durch Eingriffe wie den Bau von Wohnungen, Straßen, Wind- oder Solarparks werden Landschaften im besiedelten und unbesiedelten Bereich kontinuierlich verändert. Hier sind Landschaftsarchitekten und -architektinnen einerseits aktiv an der Gestaltung beteiligt, andererseits planen sie Maßnahmen zum Schutz von Natur und Landschaft gegenüber Nutzungsansprüchen und bewahren sie vor Beeinträchtigungen. Sie befassen sich beispielsweise mit Fragestellungen des Hochwasserschutzes oder der Renaturierung von Gewässern, erarbeiten Konzepte für Solarenergiefelder und Windparks, werden im Bereich ländliche Entwicklung tätig, planen die Revitalisierung von Industrieflächen oder führen Umweltprüfungen bzw. Umweltverträglichkeitsstudien durch.
Städte planenIn Städten gehören grüne, umweltgerecht gestaltete Freiräume zu den wichtigen Bestandteilen einer nachhaltigen und an den Klimawandel angepassten Stadtplanung. Da hierbei viele Stellen beteiligt sind - von der Wasserwirtschaft bis zur Verkehrsflächenplanung - sind Landschafts
## Aufgaben und Tätigkeiten im Einzelnen
Freiräume entwerfenöffentliche und private Freiräume entwerfen (z.B. Parkanlagen, Fußgängerzonen, Fassaden- und Dachbegrünungen); Ausführung planen und überwachen
Freiflächen und Außenräume (z.B. von Wohn-, Industriegebäuden, Kliniken und Schulen) funktional, ästhetisch-künstlerisch und ökologisch gestalten
(historische) Grünanlagen sanieren, rekonstruieren, pflegen
Tierparks, Gartenschauen und Ausstellungen konzipieren
Auswahl und Verwendung von Pflanzen planen, Bepflanzungspläne erstellen; Wege und Gesundheitspfade planen
ggf. Konzepte für Beleuchtung und Regenwasserbewirtschaftung entwickeln
Landschaften entwickelnLandschafts-, Grünordnungs- und Landnutzungspläne sowie Entwicklungskonzepte erarbeiten
Gewässerentwicklung, Renaturierung und Hochwasserschutzmaßnahmen planen
regenerative Energielandschaften (z.B. Windparks, Solarenergiefelder) entwickeln; Revitalisierung von Industrielandschaften planen
Umweltverträglichkeit von Eingriffen in Natur und Landschaft bewerten sowie Ausgleichs- und Ersatzmaßnahmen bemessen (z.B. Kompensationsflächen)
Umwelt- und Artenschutzprüfungen durchführen
Städte planen durch Standortplanung und räumlichen Planung die Umweltqualität sichern
Standortanalysen und Machbarkeitsstudien durchführen
Klimaanpassungs- und Schutzkonzepte für Siedlungen entwickeln (z.B. Flächenentsiegelung, Regenwasserrückhaltung)
Naherholungsplanung, Rad-, Fußwanderwege entwerfen; bei Tourismusinfrastrukturentwicklung mitwirken
Konzepte für Wohn-, Gewerbe-, Industriegebiete oder Straßenräume entwerfen
in der Bauleitplanung mitwirken
Natur schützenNatur und Landschaft im unbesiedelten wie besiedelten Bereich schützen; biologische Vielfalt und Naturhaushalt erhalten
Schönheit und Erholungswert der Landschaft sichern und erhalten; Naturgüter wie Boden, Wasser, Luft schützen
Stadtnaturschutzkonzepte entwickeln, um Stadtnatur für Menschen erlebbar zu machen und Artenschutz zu berücksichtigen
Nutzungskonzepte erstellen und Umweltprüfungen durchführen, um Naturschutzbelange zu vertreten (z.B. gegenüber Landwirtschaft, Verkehrsplanung, Wohn- oder Gewerbebebauung)
Eingriffe in Natur und Landschaft vermeiden oder kompensieren
Schutzgebiet- und Artenschutzkonzepte entwickeln; Biotopverbunde planen
Projekte realisierenProjektplanung, Bauabläufen und Beteiligte koordinieren
Kosten- und Terminplanung erstellen und überwachen
Vergabe- und Genehmigungsverfahren betreuen
interdisziplinär mit anderen Stellen zusammenarbeiten; Beteiligun

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# Market evidence report — landscape-architect
Source: **31 real job ads** (JSearch API, countries: us 31), extracted into the MSSQL evidence store; as of 2026-07-14.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 27 | 87 % |
| senior | 3 | 10 % |
| lead | 1 | 3 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | AutoCAD | 17 | 55 % |
| 2 | SketchUp | 13 | 42 % |
| 3 | Adobe Creative Suite | 11 | 35 % |
| 4 | Civil 3D | 5 | 16 % |
| 5 | Lumion | 5 | 16 % |
| 6 | Revit | 5 | 16 % |
| 7 | Adobe Photoshop | 4 | 13 % |
| 8 | CAD software | 4 | 13 % |
| 9 | Microstation | 4 | 13 % |
| 10 | Adobe Illustrator | 3 | 10 % |
| 11 | Adobe InDesign | 3 | 10 % |
| 12 | ArcGIS | 3 | 10 % |
| 13 | AutoCAD Civil 3D | 3 | 10 % |
| 14 | Enscape | 3 | 10 % |
| 15 | Photoshop | 3 | 10 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | landscape architecture | 18 | 58 % |
| 2 | construction documentation | 8 | 26 % |
| 3 | grading | 7 | 23 % |
| 4 | planting design | 7 | 23 % |
| 5 | stormwater management | 7 | 23 % |
| 6 | erosion control | 6 | 19 % |
| 7 | landscape design | 6 | 19 % |
| 8 | project management | 6 | 19 % |
| 9 | site analysis | 6 | 19 % |
| 10 | site planning | 6 | 19 % |
| 11 | land development | 5 | 16 % |
| 12 | park planning | 4 | 13 % |
| 13 | budget management | 3 | 10 % |
| 14 | budgeting | 3 | 10 % |
| 15 | contract management | 3 | 10 % |
| 16 | engineering design | 3 | 10 % |
| 17 | feasibility studies | 3 | 10 % |
| 18 | hardscape design | 3 | 10 % |
| 19 | landscape architectural design | 3 | 10 % |
| 20 | master planning | 3 | 10 % |
| 21 | permitting | 3 | 10 % |
| 22 | site design | 3 | 10 % |
| 23 | urban design | 3 | 10 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | historic preservation | 4 | 13 % |
| 2 | sustainability practices | 4 | 13 % |
| 3 | sustainable design | 3 | 10 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | project management | 7 | 23 % |
| 2 | design development | 6 | 19 % |
| 3 | client communication | 5 | 16 % |
| 4 | client consultation | 3 | 10 % |
| 5 | contract administration | 3 | 10 % |
| 6 | plan preparation | 3 | 10 % |
| 7 | project leadership | 3 | 10 % |
| 8 | public engagement | 3 | 10 % |
## Regional breakdown
> **Corpus note:** 31 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
31 ads.
**Top hard skills:**
- landscape architecture — 58 % (18 ads)
- construction documentation — 26 % (8 ads)
- grading — 23 % (7 ads)
- planting design — 23 % (7 ads)
- stormwater management — 23 % (7 ads)
- erosion control — 19 % (6 ads)
- landscape design — 19 % (6 ads)
- project management — 19 % (6 ads)
- site analysis — 19 % (6 ads)
- site planning — 19 % (6 ads)
**Top tools:**
- AutoCAD — 55 % (17 ads)
- SketchUp — 42 % (13 ads)
- Adobe Creative Suite — 35 % (11 ads)
- Civil 3D — 16 % (5 ads)
- Lumion — 16 % (5 ads)
- Revit — 16 % (5 ads)
- Adobe Photoshop — 13 % (4 ads)
- CAD software — 13 % (4 ads)
- Microstation — 13 % (4 ads)
- Adobe Illustrator — 10 % (3 ads)
**Seniority:** mid 87 % · senior 10 % · lead 3 %
### 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 |
|---|---|
| Landscape Architect | 10 |
| Park Planner/Landscape Architect - (Engineering Specialist III) - Recreation and Parks | 3 |
| Project Landscape Architect | 2 |
| Historical Landscape Architect | 1 |
| Hybrid Landscape Architect, PLA Wetland & SWM Design | 1 |
| Land Development Landscape Architect | 1 |
| Landscape Architect — Pools & Outdoor Living (InOffice) | 1 |
| Landscape Architect II | 1 |
| Landscape Architect/Planner | 1 |
| Landscape Architect: Master Planning & Placemaking | 1 |
| Managing Consultant, Landscape Architecture | 1 |
| Park Planner/Landscape Architect - (Engineering Specialist III) | Howard County Recreation and Parks | Handshake | 1 |
| PROJECT LANDSCAPE ARCHITECT/MANAGER (Mid-Level) | 1 |
| Senior Landscape Architect Urban Design & Project Leader | 1 |
| Senior Landscape Architect & Land Planner | 1 |
| Senior Landscape Architect Lead & Design Iconic Projects | 1 |
| Sr Landscape Architect | 1 |
| Sr. Landscape Architect | 1 |
| Staff Landscape Architect | 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 — landscape architect
- **ESCO URI:** http://data.europa.eu/esco/occupation/52207284-2681-40d3-a317-ec81ca1b3e41
- **ESCO code:** 2162.1
- **ISCO-08 group:** 2162 — Landscape architects
- **O*NET-SOC:** 17-1012.00 — Landscape Architects (match: exactMatch)
## Description (ESCO)
Landscape architects plan and design the construction of gardens and natural spaces. They determine the specifications and distribution of the space. Moreover, landscape architects research and analyse the potential of the landscape at all stages, scales and contexts of the development process, combining, an understanding of the natural space with a sense of aesthetics in order to create a harmonious space.
## Definition
nan
## Alternative labels
- landscape design expert
- landscape engineer
- landscape artist
- landscapes architect
- landscape design specialist
- landscape expert
- landscape specialist

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# Competences — landscape architect
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/52207284-2681-40d3-a317-ec81ca1b3e41).
## Essential
- **advise on landscapes** (skill/competence)
- **aesthetics** (knowledge)
- **architecture regulations** (knowledge)
- **design landscape schemes** (skill/competence)
- **design spatial layout of outdoor areas** (skill/competence)
- **develop architectural plans** (skill/competence)
- **ecology** (knowledge)
- **green space strategies** (knowledge)
- **identify customer's needs** (skill/competence)
- **integrate measures in architectural designs** (skill/competence)
- **landscape analysis** (knowledge)
- **landscape architecture** (knowledge)
- **landscape design** (knowledge)
- **manage landscape design projects** (skill/competence)
- **provide cost benefit analysis reports** (skill/competence)
- **specify landscape design components** (skill/competence)
- **urban planning** (knowledge)
- **zoning codes** (knowledge)
## Optional
- advise on soil and water protection (skill/competence)
- assess environmental impact (skill/competence)
- build a product's physical model (skill/competence)
- carry out tendering (skill/competence)
- characteristics of plants (knowledge)
- civil engineering (knowledge)
- communicate with local residents (skill/competence)
- conduct land surveys (skill/competence)
- coordinate construction activities (skill/competence)
- create GIS reports (skill/competence)
- create landscape designs (skill/competence)
- create thematic maps (skill/competence)
- energy efficiency (knowledge)
- energy performance of buildings (knowledge)
- finish project within budget (skill/competence)
- flower and plant products (knowledge)
- follow work schedule (skill/competence)
- forest conservation (knowledge)
- green building practices (knowledge)
- historic architecture (knowledge)
- horticulture principles (knowledge)
- landscaping materials (knowledge)
- lead hard landscape projects (skill/competence)
- liaise with local authorities (skill/competence)
- operate landscaping equipment (skill/competence)
- plant species (knowledge)
- promote sustainability (skill/competence)
- provide technical expertise (skill/competence)
- soil structure (knowledge)
- use CAD software (skill/competence)
- use geographic information systems (skill/competence)
- use manual draughting techniques (skill/competence)
- use technical drawing software (skill/competence)
- zero-energy building design (knowledge)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 31 ads, as of 2026-07-14)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- landscape architecture — **58 %**
- construction documentation — **26 %**
- grading — **23 %**
- planting design — **23 %**
- stormwater management — **23 %**
- project management — **19 %**
- site analysis — **19 %**
- site planning — **19 %**
- erosion control — **19 %**
- landscape design — **19 %**
### Responsibilities
- project management — **23 %**
- design development — **19 %**
<!-- market-evidence -->

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# Tasks & work activities — landscape architect
Source: O*NET 30.3, occupation 17-1012.00 (Landscape Architects).
## Task statements
- **[Core]** Prepare graphic representations or drawings of proposed plans or designs.
- **[Core]** Collaborate with architects or related professionals on whole building design to maximize the aesthetic features of structures or surrounding land and to improve energy efficiency.
- **[Core]** Create landscapes that minimize water consumption such as by incorporating drought-resistant grasses or indigenous plants.
- **[Core]** Design and integrate rainwater harvesting or gray and reclaimed water systems to conserve water into building or land designs.
- **[Core]** Identify and select appropriate sustainable materials for use in landscape designs, such as recycled wood or recycled concrete boards for structural elements or recycled tires for playground bedding.
- **[Core]** Confer with clients, engineering personnel, or architects on landscape projects.
- **[Core]** Prepare site plans, specifications, or cost estimates for land development.
- **[Core]** Analyze data on conditions such as site location, drainage, or structure location for environmental reports or landscaping plans.
- **[Core]** Develop marketing materials, proposals, or presentations to generate new work opportunities.
- **[Core]** Inspect landscape work to ensure compliance with specifications, evaluate quality of materials or work, or advise clients or construction personnel.
- **[Core]** Present project plans or designs to public stakeholders, such as government agencies or community groups.
- **[Core]** Integrate existing land features or landscaping into designs.
- **[Core]** Manage the work of subcontractors to ensure quality control.
- **[Core]** Research latest products, technology, or design trends to stay current in the field.
- **[Core]** Inspect proposed sites to identify structural elements of land areas or other important site information, such as soil condition, existing landscaping, or the proximity of water management facilities.
- **[Core]** Develop planting plans to help clients garden productively or to achieve particular aesthetic effects.
- **[Core]** Collaborate with estimators to cost projects, create project plans, or coordinate bids from landscaping contractors.
- **[Core]** Prepare conceptual drawings, graphics, or other visual representations of land areas to show predicted growth or development of land areas over time.
- **[Core]** Provide follow-up consultations for clients to ensure landscape designs are maturing or developing as planned.
## Detailed work activities
- Advise customers on the use of products or services.
- Analyze physical, survey, or geographic data.
- Confer with technical personnel to prepare designs or operational plans.
- Create graphical representations of structures or landscapes.
- Create maps.
- Design water conservation systems.
- Discuss designs or plans with clients.
- Explain project details to the general public.
- Incorporate green features into the design of structures or facilities.
- Inspect facilities or sites to determine if they meet specifications or standards.
- Perform marketing activities.
- Prepare detailed work plans.
- Select project materials.
- Supervise engineering or other technical personnel.
- Update technical knowledge.

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# Tools & technology — landscape architect
Source: O*NET 30.3 'Software Skills' for 17-1012.00.
| Software | Category | Hot technology |
|---|---|---|
| Autodesk AutoCAD | Computer aided design CAD software | yes |
| Autodesk AutoCAD Civil 3D | Computer aided design CAD software | yes |
| Autodesk Revit | Computer aided design CAD software | yes |
| Bentley MicroStation | Computer aided design CAD software | yes |
| Trimble SketchUp Pro | Computer aided design CAD software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Adobe InDesign | Desktop publishing software | yes |
| Adobe Acrobat | Document management software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| ESRI ArcGIS software | Geographic information system | yes |
| Adobe Creative Cloud software | Graphics or photo imaging software | yes |
| Adobe Illustrator | Graphics or photo imaging software | yes |
| Adobe Photoshop | Graphics or photo imaging software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Word | Word processing software | yes |
| Coyote Software DynaSCAPE Design | Computer aided design CAD software | |
| Lumion | Computer aided design CAD software | |
| McNeel Rhinoceros 3D | Computer aided design CAD software | |
| ESRI ArcView | Geographic information system | |
| Geographic information system GIS systems | Geographic information system | |
| Adobe FreeHand MX | Graphics or photo imaging software | |
| Corel CorelDraw Graphics Suite | Graphics or photo imaging software | |
| Web browser software | Internet browser software | |
| Autodesk 3ds Max | Video creation and editing software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 31 ads, as of 2026-07-14)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- AutoCAD — **55 %**
- SketchUp — **42 %**
- Adobe Creative Suite — **35 %**
<!-- market-evidence -->