by datadrivenconstruction · Agent Tool · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code
| Stars | 50 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 39.7/100 |
| Last Updated | 2026-02-14 |
| Created | 2026-01-24 |
| Platforms | claude-code, python |
| Est. Tokens | ~10822k |
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DDC_Skills_for_AI_Agents_in_Construction is 221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code. It is categorized as a Agent Tool with 50 GitHub stars.
DDC_Skills_for_AI_Agents_in_Construction is primarily written in Python. It covers topics such as aec-industry, ai-agents, automation.
You can find installation instructions and usage details in the DDC_Skills_for_AI_Agents_in_Construction GitHub repository at github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. The project has 50 stars and 13 forks, indicating an active community.
DDC_Skills_for_AI_Agents_in_Construction is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to DDC_Skills_for_AI_Agents_in_Construction on Agent Skills Hub include notebooklm-mcp, skills-for-architects, agentic-chatops. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.