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.
1. **Gather Inputs:** Collect the BIM model file (e.g., Revit or IFC format), project schedule file (e.g., MS Project or Primavera), and define your risk criteria (e.g., labor shortages, material delays, weather impact). Use tools like Autodesk Navisworks or BIM 360 to extract critical path data if needed. 2. **Run the Analysis:** Paste the prompt template into your AI tool (e.g., Claude Code or ChatGPT) and replace the placeholders with your specific project details. Ensure the AI has access to the files or provide a summary of the critical path tasks and risks. 3. **Review and Validate:** Cross-check the AI’s recommendations against your project’s constraints (e.g., vendor contracts, labor agreements, or weather forecasts). Adjust the suggestions as needed to align with real-world feasibility. 4. **Draft and Send:** Use the AI-generated follow-up email draft as a starting point. Customize the tone and details to match your communication style, then send it via Gmail. In Sortd, create a new board named ‘Critical Path Risks’ and add this task to track progress and follow-ups. 5. **Monitor and Iterate:** Use Sortd’s kanban board to monitor the status of each risk mitigation task. Update the board regularly with progress updates, and revisit the AI analysis weekly or after major project changes to reassess risks.
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.
Review the [BIM_MODEL_FILE] and [PROJECT_SCHEDULE_FILE] for [CONSTRUCTION_PROJECT_NAME]. Identify 3 critical path tasks that are at risk of delay based on [RISK_CRITERIA]. For each task, suggest specific resource reallocations or schedule adjustments to mitigate the risk. Then, draft a follow-up email to [PROJECT_MANAGER_EMAIL] summarizing the findings and recommendations using a professional tone. Use Sortd to organize and track this task in your Gmail workflow.
### Critical Path Risk Assessment for Greenfield Corporate Campus **Project:** Greenfield Corporate Campus (Phase 1: Foundation & Structural) | **Risk Criteria:** Labor shortages, material delays, weather impact **1. Task: Concrete Pouring (Foundation Slab)** - **Scheduled Completion:** June 15, 2024 - **At Risk:** 70% probability of delay due to forecasted heavy rains (June 10-12) and 20% labor shortage - **Recommendation:** Shift 3 concrete crews from interior framing (currently ahead of schedule) to foundation work. Pre-stage water pumps and temporary shelters at the site. Adjust pour schedule to June 12 (weather-dependent) with a buffer until June 17. - **Impact:** Prevents 14-day delay in structural completion **2. Task: Steel Erection (Columns & Beams)** - **Scheduled Completion:** July 20, 2024 - **At Risk:** 45% probability of delay due to delayed steel delivery (vendor: MetalWorks Inc.) and 15% crane availability conflict - **Recommendation:** Source 10% additional steel from a secondary vendor (SteelPro LLC) to cover 3-day buffer. Coordinate with crane operator to prioritize this project during July 1-5. Adjust erection sequence to start with Columns A1-A10 (less complex) to free up crane time. - **Impact:** Reduces risk of 10-day delay in envelope completion **3. Task: MEP Rough-In (Floors 1-3)** - **Scheduled Completion:** August 5, 2024 - **At Risk:** 60% probability of delay due to 25% shortage in licensed electricians and HVAC subcontractor delays - **Recommendation:** Reassign 2 electricians from Floor 4 (currently ahead of schedule) to Floors 1-3. Coordinate with HVAC subcontractor to expedite ductwork installation on Floors 1-2 while electricians work on Floor 3. Adjust completion target to August 8 with a 3-day buffer. - **Impact:** Prevents 7-day delay in drywall installation **Follow-Up Email Draft:** **Subject:** Urgent: Critical Path Risks & Mitigation Plan for Greenfield Corporate Campus Hi [Project Manager's Name], I’ve completed a risk assessment for the Greenfield Corporate Campus project, focusing on the critical path tasks most vulnerable to delays. Below are the top three risks identified, along with actionable recommendations to keep the project on track: 1. **Concrete Pouring (Foundation Slab):** Heavy rains forecasted for June 10-12 and labor shortages pose a 70% risk of delay. I recommend shifting 3 concrete crews from interior framing to foundation work and pre-staging weather mitigation equipment. The adjusted pour date is June 12 (weather-dependent), with a buffer until June 17. 2. **Steel Erection (Columns & Beams):** Delayed steel delivery from MetalWorks Inc. and crane availability conflicts create a 45% risk of delay. I’ve sourced additional steel from SteelPro LLC to cover a 3-day buffer and coordinated with the crane operator to prioritize this project during July 1-5. The erection sequence has been adjusted to start with Columns A1-A10. 3. **MEP Rough-In (Floors 1-3):** A 25% shortage in licensed electricians and HVAC subcontractor delays create a 60% risk of delay. I’ve reassigned 2 electricians from Floor 4 to Floors 1-3 and coordinated with the HVAC subcontractor to expedite ductwork installation on Floors 1-2. The adjusted completion target is August 8. Please review these recommendations and let me know if you’d like to discuss any adjustments or additional mitigations. I’ve organized this task in Sortd under the ‘Critical Path Risks’ board for tracking and follow-up. Best regards, [Your Name] Construction Automation Specialist --- *This assessment is based on the latest BIM model (v2.3) and project schedule (MS Project file: GC-2024-05-22). Weather data sourced from NOAA, and labor availability from internal resource planning tools.*
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