expo-gaode-map-navigation
Amap (Gaode) full-featured, all-in-one navigation solution: integrates complete map capabilities (MapView/all overlays/offline maps/location/geolocation calculations, no core package required), provides the official NaviView navigation UI (voice prompts/events/traffic/compass); supports multi-modal route planning (driving/walking/cycling/truck/motorcycle/electric vehicle) with strategies/restrictions/waypoints; offers advanced independent routing capabilities (estimation/route preview/selection/start); includes a Config Plugin for automatic configuration. Note: this package conflicts with expo-gaode-map SDK — a project only needs to install this package.
debug-message
Debug why a Hyperlane message is not being processed. Use when given a message ID or explorer URL to investigate delivery failures, gas estimation errors, validator issues, or other processing problems.
bim-cost-estimation-cwicr
Automated cost estimation from BIM models using DDC CWICR database with 55,719 work items. AI classification + vector search for accurate pricing.
n8n-cost-estimation
Build an n8n pipeline for automated cost estimation from Revit/IFC using the DDC CWICR database and LLM classification.
CWICR Report Generator
Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.
prompt-templates
Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.
Semantic Search — CWICR
Semantic search in the DDC CWICR construction database using vector embeddings. Find similar work items and resources for cost estimation.
multi-agent-estimation
Build multi-agent AI systems for construction estimation. Use CrewAI/LangGraph to orchestrate specialized agents: QTO agent, pricing agent, validation agent. Automate complex estimation workflows.
cost-estimation-resource
Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.
n8n-workflow-automation
Build no-code/low-code automation workflows for construction using n8n. Automate data extraction, cost estimation, report generation, and system integrations without writing code.
CO2 Estimation
Calculate the carbon footprint of construction projects. Estimate CO2 emissions from materials, transportation, and construction processes using emission-factor databases.
bim-qto
Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.
competitive-cartographer
Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or "how do I stand out?" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.
adhd-daily-planner
Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.
cost-accrual-tracker
Track real-time API cost accrual during LLM execution. Activate on 'cost tracking', 'token usage', 'API costs', 'budget monitoring', 'usage metrics'. NOT for cost estimation, pricing tiers, or billing systems.
cost-verification-auditor
Audit LLM token cost estimates against actual API usage. Activate on 'cost verification', 'token estimate accuracy', 'API cost audit', 'estimation variance'. NOT for pricing lookups, budget planning, or cost optimization strategies.
strategic-planning
Strategic planning specialist for task breakdown, dependency management, timeline estimation, and resource allocation. Manual invocation only - expert at decomposing complex projects into manageable tasks, identifying dependencies, assessing risks, and creating actionable roadmaps. Use when starting complex projects, facing overwhelmed scope, needing structured approaches, or requiring systematic task management before implementation.
bigquery
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table management, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP server integration for AI-assisted querying. Modern TypeScript/Bun implementation replacing the Python `bq` CLI with instant startup (~10ms vs ~500ms), automatic cost awareness with confirmation prompts, and native streaming support (JSONL). Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files) from Cloud Storage.
project-aeo-monitoring-tools
Build custom AI search monitoring tools for competitive AEO analysis. Covers API access, scraping architecture, legal compliance, and cost estimation.
estimation-techniques
Back-of-envelope calculations for system design. Use when estimating QPS, storage, bandwidth, or latency for capacity planning. Includes latency numbers every programmer should know and common estimation patterns.
chain-estimation-decision-storytelling
Use when making high-stakes decisions under uncertainty that require stakeholder buy-in. Invoke when evaluating strategic options (build vs. buy, market entry, resource allocation), quantifying tradeoffs with uncertain outcomes, justifying investments with expected value analysis, pitching recommendations to decision-makers, or creating business cases with cost-benefit estimates. Use when the user mentions "should we", "ROI analysis", "make a case for", "evaluate options", "expected value", "justify decision", or needs to combine estimation, decision analysis, and persuasive communication.
estimation-fermi
Use when making quick order-of-magnitude estimates under uncertainty (market sizing, resource planning, feasibility checks), decomposing complex quantities into estimable parts, bounding unknowns with upper/lower limits, sanity-checking strategic assumptions, or when user mentions Fermi estimation, back-of-envelope calculation, order of magnitude, ballpark estimate, triangulation, or needs to assess feasibility before detailed analysis.
sensor-fusion
Patterns for multi-sensor data fusion including Kalman filters (KF, EKF, UKF), complementary filters, particle filters, and factor graph optimization. Covers state estimation, covariance tuning, outlier rejection, and real-time implementation for robotics and autonomous systems. Use when ", " mentioned.
Computer Vision — Deep
Use when implementing object detection, semantic/instance segmentation, 3D vision, or video understanding — covers YOLO, SAM, depth estimation, and multi-modal vision. Use when ", " mentioned.
Causal Scientist
Causal inference specialist for causal discovery, counterfactual reasoning, and effect estimation. Use when "causal inference, causal discovery, counterfactual, intervention effect, confounder, structural causal model, SCM, dowhy, causal graph, causal, dowhy, scm, dag, counterfactual, intervention, causalnex, confounding, ml-memory" mentioned.
aws-cost-operations
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
fal-platform
fal.ai Platform APIs for model management, pricing, usage tracking, and cost estimation. Use when user asks "show pricing", "check usage", "estimate cost", "setup fal", "add API key", or platform management tasks.
capacity-planning
Plan infrastructure capacity for expected load. Use when sizing systems, planning for growth, or analyzing resource requirements. Covers load estimation and resource sizing.
estimating-work
Estimate effort for development tasks. Use when planning sprints, roadmaps, or project timelines. Covers story points, relative estimation, and uncertainty.
grey-haven-llm-project-development
Build LLM-powered applications and pipelines using a proven methodology: task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use this when creating AI features, data processing pipelines, agents, or any system integrated with LLMs. Inspired by Karpathy’s methodology and production case studies.