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cccskills

Results for “estimation”

318 skills · sorted by relevance

4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls

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nWave-ai/nWave621Updated Sep 16, 2026

SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns

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nWave-ai/nWave621Updated Sep 16, 2026

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.

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stevesolun/ctx588Updated Oct 15, 2026

Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones

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agiprolabs/claude-trading-skills426Updated Sep 3, 2026

Enhanced Solana RPC with DAS API, parsed transactions, webhooks, and priority fee estimation via Helius

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agiprolabs/claude-trading-skills426Updated Sep 3, 2026

DEX liquidity depth assessment, slippage estimation, and pool composition analysis for Solana tokens

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agiprolabs/claude-trading-skills426Updated Sep 3, 2026

Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling

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agiprolabs/claude-trading-skills426Updated Sep 3, 2026

Kelly criterion optimal sizing with fractional variants, edge estimation, and practical application for crypto trading

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agiprolabs/claude-trading-skills426Updated Sep 3, 2026

Execution cost estimation, slippage curve modeling, and optimal trade sizing based on AMM liquidity depth

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agiprolabs/claude-trading-skills426Updated Sep 3, 2026

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.

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jaechang-hits/SciAgent-Skills381Updated Oct 16, 2026

Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

Calculate carbon footprint of construction projects. Estimate CO2 emissions from materials, transportation, and construction processes using emission factors databases.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

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.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

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.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

Build no-code/low-code automation workflows for construction using n8n. Automate data extraction, cost estimation, report generation, and system integrations without writing code.

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datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction358Updated Oct 20, 2026

Converts a specification into a phased, dependency-ordered implementation plan. Use after specification is complete and before execution begins.

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athola/claude-night-market342Updated Oct 17, 2026

Route DeepLabCut markerless pose-estimation workflows, project setup, PyTorch training/inference, maDLC tracking, Model Zoo, post-processing, 3D, and export tasks.

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VectorSpaceLab/AREX-Skill339Updated Sep 3, 2026

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.

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VectorSpaceLab/AREX-Skill339Updated Sep 3, 2026

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.

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microprediction/precise337Updated Oct 6, 2026

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.

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mukul975/Privacy-Data-Protection-Skills314Updated Mar 17, 2026

Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.

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nicepkg/ai-workflow288Updated Jan 20, 2026