221 AI skills for construction automation. Analyze BIM models, estimate costs, schedule tasks, and automate document control. Integrates with Claude Code for custom workflows. Ideal for operations teams to streamline project management.
git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.gitThe DDC_Skills_for_AI_Agents_in_Construction skill is a powerful automation tool designed to enhance various processes within the construction industry. This skill encompasses 221 AI capabilities, including BIM analysis, cost estimation, scheduling, and document control, all optimized for use with Claude Code. By leveraging these AI automation features, construction professionals can streamline workflows and improve project outcomes, making it an essential addition to any AI agent's toolkit. One of the key benefits of this skill is its ability to save time in critical areas such as cost estimation and scheduling. For instance, by automating the cost estimation process, project managers can quickly generate accurate budgets, reducing the time spent on manual calculations. Similarly, AI-driven scheduling can help teams optimize resource allocation and timelines, leading to more efficient project execution. Although specific time savings are currently unknown, the potential for improved efficiency is significant, particularly for teams looking to enhance their workflow automation. This skill is particularly suited for developers, product managers, and AI practitioners working in the construction sector. By integrating DDC_Skills_for_AI_Agents_in_Construction into their workflows, these professionals can harness the power of AI to tackle complex tasks with ease. For example, a project manager could utilize the skill to automate document control, ensuring that all project documentation is up-to-date and accessible, which is crucial for compliance and communication. With an intermediate implementation difficulty and an estimated setup time of just 30 minutes, this skill is accessible for teams looking to adopt AI-first workflows. It requires minimal technical expertise, making it a viable option for organizations eager to integrate AI automation into their operations. Overall, the DDC_Skills_for_AI_Agents_in_Construction skill represents a valuable opportunity for construction professionals to leverage AI technology, enhancing productivity and driving project success.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the [BIM_MODEL] for [CONSTRUCTION_PROJECT] and provide a detailed report on structural integrity, material quantities, and potential design conflicts. Then, estimate the construction costs based on [MATERIAL_PRICES] and [LABOR_RATES] in the [REGION]. Finally, generate a project schedule with milestones and dependencies.
# BIM Model Analysis Report ## Structural Integrity - The model shows sound structural integrity with no major conflicts. - Minor conflicts detected in the HVAC routing near the [FLOOR_PLAN] section. ## Material Quantities - Concrete: 1,200 cubic yards - Steel: 500 tons - Wood: 800 cubic feet ## Potential Design Conflicts - Electrical conduit clashes with plumbing in the [LOCATION] area. # Cost Estimation ## Material Costs - Concrete: $120,000 - Steel: $300,000 - Wood: $40,000 ## Labor Costs - Foundation: $50,000 - Framing: $80,000 - Finishing: $100,000 ## Total Estimated Cost: $790,000 # Project Schedule ## Milestones 1. Foundation Completion: Week 4 2. Framing Completion: Week 12 3. Finishing Completion: Week 24 ## Dependencies - Framing cannot start until foundation is complete. - Finishing cannot start until framing is complete.
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