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Agent skill
Generative AI Design
by datadrivenconstruction in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback.
Install Generative AI Design
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction generative-ai-design --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .claude/skills && cp -r skills-src/5_DDC_Innovative/generative-ai-design .claude/skills/generative-ai-design && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "generative-ai-design" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/generative-ai-design into .claude/skills/generative-ai-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generative-ai-design", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/generative-ai-designType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction generative-ai-design --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .agents/skills && cp -r skills-src/5_DDC_Innovative/generative-ai-design .agents/skills/generative-ai-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "generative-ai-design" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/generative-ai-design into .agents/skills/generative-ai-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generative-ai-design", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction generative-ai-design --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/5_DDC_Innovative/generative-ai-design .cursor/skills/generative-ai-design && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "generative-ai-design" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/generative-ai-design into .cursor/skills/generative-ai-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generative-ai-design", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git --path 5_DDC_Innovative/generative-ai-design--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction generative-ai-design --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/5_DDC_Innovative/generative-ai-design .gemini/skills/generative-ai-design && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "generative-ai-design" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/generative-ai-design into .gemini/skills/generative-ai-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generative-ai-design", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction generative-ai-designInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .github/skills && cp -r skills-src/5_DDC_Innovative/generative-ai-design .github/skills/generative-ai-design && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "generative-ai-design" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/generative-ai-design into .github/skills/generative-ai-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generative-ai-design", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction generative-ai-design --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/5_DDC_Innovative/generative-ai-design .opencode/skills/generative-ai-design && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "generative-ai-design" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/generative-ai-design into .opencode/skills/generative-ai-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generative-ai-design", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
generative-ai-design- GitHub stars
- 345
- Token cost
- ~593 tokens
- SKILL.md length
- 173 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback.
- Exploring early design options with AI
- SKILL.md covers What is real in 2026, The loop, Toolchain and Prompt pattern for concept…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Generative AI Design is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback. Use when exploring early design options with AI.
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: 221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code. The licence is MIT.
When your agent uses it
- Exploring early design options with AI
Example prompts
- “/generative-ai-design”
What it can do on your machine
Read from SKILL.md and the folder at commit ce45bbf. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
finch3d.comhypar.ioqbiq.aiautodesk.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Generative AI Design loads about 593 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 173 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction at commit ce45bbf, republished under its MIT licence (© datadrivenconstruction). 173 words, ~593 tokens.
Download SKILL.mdSave it as
.claude/skills/generative-ai-design/SKILL.md (or your agent's skills folder).- name
- generative-ai-design
- description
- Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback. Use when exploring early design options with AI.
Generative AI Design for Construction (2026)
What is real in 2026
Generative design in construction is option generation with feedback, not autonomous architecture: given site constraints, program and budget, an AI generates massing/typology options and scores them on cost, carbon and buildability — the human designer selects and refines.
The loop
Constraints (site, program, budget)
│
▼
Generate options (LLM/parametric/optimisation)
│
▼
Quantify each option (BIM takeoff + CWICR cost + carbon)
│
▼
Score & rank (cost/m², kgCO₂e/m², GFA efficiency)
│
▼
Human selects → refine → detailToolchain
| Stage | Tools |
|---|---|
| Massing generation | parametric tools (Rhino/Grasshopper, Dynamo) + LLM sketches |
| Text-to-concept | image models (Midjourney/DALL·E) for moodboards; text-to-BIM is early-stage (Hypar, Finch, qbiq) |
| Quantification | OpenConstructionERP BIM takeoff (oce-bim-takeoff) |
| Cost scoring | CWICR cost bases (oce-load-cost-bases) |
| Carbon scoring | embodied-carbon-esg |
Prompt pattern for concept generation
"Generate 3 massing options for a 12,000 m² residential building on a 30×60 m
plot, 6 storeys, max 40% glazing, Berlin climate. For each: GFA, FAR,
indicative structure, kgCO₂e/m² (A1-A3), €/m² construction cost."Then quantify and rank:
| Option | GFA | FAR | Cost/m² | kgCO₂e/m² | Verdict |
|---|---|---|---|---|---|
| A | 11,800 | 2.9 | 1,050 € | 310 | lowest cost |
| B | 12,400 | 3.1 | 1,180 € | 285 | lowest carbon |
| C | 12,100 | 3.0 | 1,120 € | 295 | balanced |
Guardrails
- AI options are starting points, always human-reviewed and code-checked.
- Cost/carbon scores come from real databases (CWICR + EPD), not LLM guesses.
- Keep every option's inputs logged (reproducibility, AI Act transparency).
- Text-to-BIM models are not yet permit-grade — treat outputs as concepts.
Resources
- Finch: https://finch3d.com · Hypar: https://hypar.io · qbiq: https://www.qbiq.ai
- Generative design overview: https://www.autodesk.com/solutions/generative-design
© datadrivenconstruction, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in 5_DDC_Innovative/generative-ai-design of datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.
Open the folder on GitHubat commit ce45bbf
Compare with similar skills
Generative AI Design next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Generative AI Design this skilldatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction | 345 | — | ~593 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints.
Embodied Carbon Esg
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Estimate embodied carbon and produce ESG/climate reporting for construction: LCA per work item, material-based carbon factors, EU taxonomy and CSRD alignment.
Material Passports Circular
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Material passports and circular construction: generate per-element material inventories from BOQ/BIM, mark reuse potential and recycled content, and prepare deconstruction data.
ML Model Retrainer
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Automated pipeline for retraining ML models with new construction data.
Oce Cost Browser
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Browse and search the OpenConstructionERP cost database: classification tree, SQL and semantic search, autocomplete, certainty badges, and the resource catalog.
Oce Estimate Boq
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Create bills of quantities and estimates in OpenConstructionERP: search cost items, build BOQ sections, link BIM elements in bulk, validate the BOQ, and export GAEB/XLSX/JSON.
Related
Categories
Questions about Generative AI Design
What does Generative AI Design do?
Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback. Generative AI Design is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback.
When should I use Generative AI Design?
Generative AI Design fits situations like: exploring early design options with AI.
How do I install Generative AI Design in Claude Code?
Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a claude-code`. Or copy the skill folder (5_DDC_Innovative/generative-ai-design in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .claude/skills/generative-ai-design in your project. Claude Code loads it when a task matches its description.
How do I install Generative AI Design in Codex?
Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a codex`. Or copy the skill folder (5_DDC_Innovative/generative-ai-design in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .agents/skills/generative-ai-design in your project. Codex loads it when a task matches its description.
Can I use Generative AI Design in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill generative-ai-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generative-ai-design, .gemini/skills/generative-ai-design, .github/skills/generative-ai-design and .opencode/skills/generative-ai-design in your project.
What does Generative AI Design need to run?
SKILL.md names no scripts, command-line tools or credentials: Generative AI Design is instructions for the agent only.
Does Generative AI Design access the network?
SKILL.md names 4 domains. As links in the text: finch3d.com, hypar.io, qbiq.ai and autodesk.com. This is read from the text; nothing was executed.
Is Generative AI Design safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Generative AI Design use?
Generative AI Design is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Generative AI Design use?
About 593 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Generative AI Design?
Skills that share tags, products or a category with Generative AI Design: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Generative AI Design?
datadrivenconstruction (a GitHub user) maintains it in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction, which has 345 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on August 22, 2026.
Source: datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.