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Found 282 Skills
Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.
Match BIM quantities to CWICR work items. Map element categories to cost codes, validate quantities, and generate cost-linked QTOs.
Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.
Analyzes KiCad PCB files to identify power nets by looking up component datasheets via AI. Use when you need to determine which nets are power/ground nets and what track widths to use, especially when KiCad pintype annotations are missing or unreliable.
Convert project plans to JSONL format (issues + dependencies). Use when users ask "convert plan to jsonl", "create jsonl from plan", "export plan as json" or "convert plan to taks", "create tasks from plan", "export plan as tasks".
Use when writing any code - enforces test-driven development discipline with RED-GREEN-REFACTOR cycle, fires during any coding task
Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements.
Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.
Use this skill when asked to perform any of the following actions in a Java project: - To add jspecify support - To prevent NullPointerExceptions - To better handle Nullability This skill will add jspecify dependency, configure Maven or Gradle build to automatically use jspecify for checking Nullability issues.
Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.
Use when an agent is asked to define, review, or write acceptance criteria for a request or plan. Derives acceptance criteria from the current request context, confirms them with the user, and writes them into the plan file or a standalone acceptance_criteria.md file.
Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.