The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 870 files from 1 769 authors, of which 62 217 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Perform value engineering analysis using CWICR data. Identify cost-saving alternatives while maintaining function and quality.
Assist with quantity takeoff using CWICR data. Calculate quantities from dimensions, apply waste factors, and suggest related work items.
Calculate material waste factors and losses using CWICR norms. Apply waste percentages, cutting losses, and spillage factors to material quantities.
Break down CWICR work items into component resources. Decompose aggregate items, analyze resource composition, and generate detailed bills of resources.
Track as-built documentation and record drawings. Monitor submission status, manage revisions, and ensure completeness for handover.
Track and manage construction warranties. Monitor expiration dates, claims, and manufacturer documentation.
Automated cost estimation from BIM models using DDC CWICR database with 55,719 work items. AI classification + vector search for accurate pricing.
Semantic search in DDC CWICR construction database using vector embeddings. Find similar work items and resources for cost estimation.
Forecast project cash flow based on schedule and cost data. Generate S-curves and payment projections.
Analyze budget vs actual cost variances. Identify overruns, forecast final costs, and generate variance reports.
Process and manage construction change orders. Track costs, approvals, and impact on schedule and budget.
Track material deliveries, manage inventory, and coordinate logistics. Monitor delivery schedules and site storage.
Analyze construction contract clauses. Identify risks, obligations, and key terms using NLP.
Generate AIA-style payment applications. Track schedule of values, calculate retention, and produce payment documentation.
Manage as-built documentation for project closeout. Track drawing markups, coordinate updates, and verify completeness.
Track subcontractor payments, lien waivers, and compliance. Manage payment schedules and documentation.
Generate structured construction meeting minutes. Track action items, decisions, and attendees.
Complete RFI (Request for Information) management system. Create, track, route, and analyze RFIs with automatic notifications and response deadline tracking.
Automatically generate daily construction reports from field data, worker inputs, weather, and progress photos. Creates professional PDF reports.
Track construction submittals through the review process. Manage approvals, revisions, and compliance.
Digital safety inspection system for construction sites. Checklists, hazard tracking, incident reporting, and compliance documentation.
Analyze field progress photos. Catalog, tag, and compare against planned progress.
Digital punch list management for construction project closeout. Track deficiencies, assign corrections, photo documentation, and completion verification.
Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
Compare and analyze contractor bids. Score proposals, identify scope gaps, and recommend selections.
Track material procurement from requisition to delivery. Monitor lead times, vendors, and costs.
Prequalify subcontractors based on safety, financial, and performance criteria.
Track material orders, deliveries, and inventory on construction sites. Monitor lead times, delivery status, and stock levels.
Manage project closeout activities. Track completion of documentation, warranties, and final inspections.
Manage construction equipment fleet. Track utilization, maintenance, and assignments.
Manage construction punch lists for project closeout. Track deficiencies, assign corrections, and monitor completion status.
Allocate and track labor resources across project activities. Balance workload, track attendance, and optimize crew assignments.
Analyze labor productivity by trade, activity, and location. Track efficiency and identify improvement opportunities.
Analyze weather impact on construction schedule. Predict delays and adjust activities based on forecast.
Link BIM elements to schedule activities for 4D simulation. Visualize construction sequence over time.
Link schedule activities to cost items. Create cost-loaded schedules, generate cash flow curves, and track earned value.
Create 4D construction simulations by linking BIM models with project schedules.
Analyze project critical path from schedule data. Identify critical activities, calculate float, and assess schedule risk.
Calculate embodied carbon in construction materials. Track CO2 emissions, compare alternatives, and generate sustainability reports.
Analyze schedule delays, identify causes, and calculate time impacts using delay analysis methods.
Calculate and track CO2 emissions and carbon footprint for construction projects.
Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.
Detect and map data silos in construction organizations. Identify disconnected data sources and integration opportunities
Analyze data evolution patterns in construction organizations. Assess digital maturity and data strategy for construction companies
Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.
Analyze ERP system integration for construction data flows. Map and optimize data flows between ERP modules
Handle CSV files from construction software exports. Auto-detect delimiters, encodings, and clean messy data.
Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.
Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods
Build SQL queries for construction databases. Generate optimized SQL queries for construction data retrieval
Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.
Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.
Map construction data to standard ontologies. Create semantic mappings between different data schemas
Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.
Integrate open construction datasets. Combine open data sources for enhanced analysis
Fetch construction material prices from open APIs. Track price trends, regional variations, and update cost databases.
Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.
Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.
Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.
Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems
Answers built from the skills we actually parsed.