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机器学习 | Skills Pool

分类机器学习

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机器学习

15552 个技能

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AI 推荐

15552 个技能

Complex Object Comparison Guide

Specialized skill for handling complex object comparison and deep validation. Use when you need to compare deep objects, exclude specific properties, handle circular references, or validate DTOs/Entities. Covers BeEquivalentTo, Excluding, Including, custom comparison rules, etc. Keywords: object comparison, deep comparison, BeEquivalentTo, DTO comparison, Entity validation, excluding properties, circular reference, Excluding, Including, ExcludingNestedObjects, RespectingRuntimeTypes, WithStrictOrdering, ignore timestamp, exclude timestamp

Dotnet Ci Benchmarking

Gates CI on perf regressions. Automated threshold alerts, baseline tracking, trend reports.

Dotnet Ci Benchmarking

Gates CI on perf regressions. Automated threshold alerts, baseline tracking, trend reports.

Dotnet Ci Benchmarking

Gates CI on perf regressions. Automated threshold alerts, baseline tracking, trend reports.

Deepvariant Caller

DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection

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Lessonly Training

Lessonly (Seismic Learning) training platform integration

Hazop Facilitator

HAZOP study facilitation skill for systematic deviation analysis and safeguard identification

runnerquan-safe-agent-backend-skillpecker-malicious-skill-library-tools-performing-regression-analysis-skill-md

Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin. it analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performa... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

Lessons Learned Repository

Capture, categorize, and retrieve project lessons learned for organizational learning

Critical Path Analyzer

Perform critical path method (CPM) analysis with forward/backward pass calculations

Engineering Features For Machine Learning

Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "select features". Trigger with relevant phrases based on skill purpose.

Splitting Datasets

Process split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning". Trigger with relevant phrases based on skill purpose.

Salmon Quantifier

Salmon pseudo-alignment skill for fast and accurate transcript quantification

Line Balancer

Assembly line balancing skill for workstation design and cycle time optimization.

Continuous Learning V2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

Red Team Tools And Methodology

This skill should be used when the user asks to "follow red team methodology", "perform bug bounty hunting", "automate reconnaissance", "hunt for XSS vulnerabilities", "enumerate subdomains", or needs security researcher techniques and tool configurations from top bug bounty hunters.

Linear Issue Implementation

This skill should be used when implementing features from Linear issues with full TDD workflow, automated planning, parallel code reviews (security and Rails best practices), systematic feedback implementation, and automated PR creation with Linear integration. Use when the user provides a Linear issue ID (e.g., "TRA-9", "DEV-123") and wants a complete implementation workflow from issue to PR.

Uv Ray Train

Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.

Uv Deepspeed

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

Uv Mamba Architecture

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

Write Evals

Write evaluations for AI system prompts and inferencing layers. Use when building or modifying LLM-powered features.

Evaluate Model

Compare a trained model against the production baseline for accuracy and F1 score.

Model Selector

Select the best generation model, embedding model, inference backend, and quantization level based on memory budget and current leaderboard rankings. Requires memory budget from memory-budget skill. Use after memory budget calculation.

Rotation Analysis

Build an optimal 5-man starting rotation with depth order, opener pairings, workload risk flags, and a diff vs OOTP's own projected rotation.

Continuous Learning V2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

Persona Telemetry Engineer

Use when the work is tagged with 📡 and needs the telemetry-engineer persona frame.

Persona Regression Sentinel

Use when the work is tagged with 📉 and needs the regression-sentinel persona frame.

Agentic Pattern Promoter

distill repeated observations from experiments and decisions into reusable patterns or anti_patterns for a lean agentic_engineering folder. use when the user wants to promote learnings into playbook guidance, merge overlapping entries, or convert project-specific evidence into reusable markdown docs.

Ai Ml Patterns

Machine learning lifecycle patterns, model training, inference optimization, data pipelines, experiment tracking, and MLOps best practices for PyTorch, Ultralytics, scikit-learn, and TensorFlow.

Paper Analysis Robotics

机器人学与控制领域论文深度分析工具，专注于 learning-based control。每当用户上传论文 PDF 并要求'分析'、'深度解读'、'帮我看看这篇论文讲了什么'、'详细分析一下'时触发。也包括用户说'解读这篇论文'、'这篇论文的方法是什么'、'帮我理解这篇论文'等场景。