nw-sd-framework
Free4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls
The English summary is being prepared. Showing the original description.
318 skills · sorted by relevance
4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls
The English summary is being prepared. Showing the original description.
SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns
The English summary is being prepared. Showing the original description.
Show real token usage and estimated savings for the current session. Reads directly from the Claude Code session log — no AI estimation. Triggers on /caveman-stats. Output is injected by the mode-tracker hook; the model itself does not compute the numbers.
The English summary is being prepared. Showing the original description.
Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones
The English summary is being prepared. Showing the original description.
Enhanced Solana RPC with DAS API, parsed transactions, webhooks, and priority fee estimation via Helius
The English summary is being prepared. Showing the original description.
DEX liquidity depth assessment, slippage estimation, and pool composition analysis for Solana tokens
The English summary is being prepared. Showing the original description.
Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling
The English summary is being prepared. Showing the original description.
Kelly criterion optimal sizing with fractional variants, edge estimation, and practical application for crypto trading
The English summary is being prepared. Showing the original description.
Execution cost estimation, slippage curve modeling, and optimal trade sizing based on AMM liquidity depth
The English summary is being prepared. Showing the original description.
GWAS and population genetics tool. Processes PLINK (.bed/.bim/.fam), VCF, and BGEN; runs QC (MAF, HWE, missingness), IBD estimation, PCA, and linear/logistic regression GWAS. Outputs Manhattan-ready summary stats. Use regenie or SAIGE for biobanks (>100k samples) needing mixed models.
The English summary is being prepared. Showing the original description.
Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.
The English summary is being prepared. Showing the original description.
Calculate carbon footprint of construction projects. Estimate CO2 emissions from materials, transportation, and construction processes using emission factors databases.
The English summary is being prepared. Showing the original description.
Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.
The English summary is being prepared. Showing the original description.
Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.
The English summary is being prepared. Showing the original description.
Semantic search in the DDC CWICR construction cost database using vector embeddings (BGE-M3, 1024-dim, per-language Qdrant collections). Find similar work items and resources for cost estimation across 8 national bases and 30 markets in 26 languages.
The English summary is being prepared. Showing the original description.
Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.
The English summary is being prepared. Showing the original description.
Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.
The English summary is being prepared. Showing the original description.
Build no-code/low-code automation workflows for construction using n8n. Automate data extraction, cost estimation, report generation, and system integrations without writing code.
The English summary is being prepared. Showing the original description.
Converts a specification into a phased, dependency-ordered implementation plan. Use after specification is complete and before execution begins.
The English summary is being prepared. Showing the original description.
Route DeepLabCut markerless pose-estimation workflows, project setup, PyTorch training/inference, maDLC tracking, Model Zoo, post-processing, 3D, and export tasks.
The English summary is being prepared. Showing the original description.
Use DeepDanbooru for anime-style image tag estimation, project and Danbooru-style dataset preparation, TensorFlow training, image evaluation, TFLite conversion, and experimental Grad-CAM workflows.
The English summary is being prepared. Showing the original description.
Online (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance. Use when code needs a covariance/correlation matrix updated per observation, recomputes np.cov/np.corrcoef in a rolling loop, must judge or compare covariance estimates, or proposes a new covariance methodology. Points to task-specific skills.
The English summary is being prepared. Showing the original description.
Guides conducting privacy law gap analysis for market entry into new jurisdictions. Covers target jurisdiction assessment, existing compliance mapping, remediation effort estimation, and implementation timeline planning. Keywords: gap analysis, market entry, jurisdiction assessment, remediation planning, compliance mapping.
The English summary is being prepared. Showing the original description.
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
The English summary is being prepared. Showing the original description.