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1,945 Results in Infrastructure, Memory, Skills, Sub-Agents · Page 59 of 82
pytorch-build-resolver
PyTorch runtime, CUDA, and training error resolution specialist. Fixes tensor shape mismatches, device errors, gradient issues, DataLoader problems, and mixed precision failures with minimal changes. Use when PyTorch training or inference crashes.
pytorch-lightning
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
pytorch-lightning-2
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
pyvene-interventions
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.
qa-coordinator
PROACTIVELY USE this agent when you need to establish quality assurance processes, coordinate testing activities, define quality standards, or ensure deliverables meet quality requirements throughout the project lifecycle. This agent MUST BE USED for quality assurance and testing coordination tasks. Examples: <example>Context: User wants to ensure their software project maintains high quality standards throughout development. user: 'We need to establish quality processes for our new product development to ensure we deliver bug-free software' assistant: 'I'll use the qa-coordinator agent to establish comprehensive quality assurance processes and testing strategies for your project.' Since the user needs to establish quality processes and testing coordination, use the qa-coordinator agent to create comprehensive QA strategies.</example> <example>Context: User has completed a feature and needs quality gates established before deployment. user: 'I've finished implementing the user authentication module. What quality checks should we run before releasing it?' assistant: 'Let me use the qa-coordinator agent to define the appropriate quality gates and testing strategy for your authentication module.' Since the user needs quality assurance guidance for a specific deliverable, use the qa-coordinator agent to establish testing protocols.</example>
qdrant-vector-search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
qiskit
Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits. Use when working with quantum algorithms, simulations, or quantum hardware including (1) Building quantum circuits with gates and measurements, (2) Running quantum algorithms (VQE, QAOA, Grover), (3) Transpiling/optimizing circuits for hardware, (4) Executing on IBM Quantum or other providers, (5) Quantum chemistry and materials science, (6) Quantum machine learning, (7) Visualizing circuits and results, or (8) Any quantum computing development task.
qms-audit-expert
Senior QMS Audit Expert for internal and external quality management system auditing. Provides ISO 13485 audit expertise, audit program management, nonconformity identification, and corrective action verification. Use for internal audit planning, external audit preparation, audit execution, and audit follow-up activities.
quality-documentation-manager
Senior Quality Documentation Manager for comprehensive documentation control and regulatory document review. Provides document management system design, change control, configuration management, and regulatory documentation oversight. Use for document control system implementation, regulatory document review, change management, and documentation compliance verification.
quality-manager-qmr
Senior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides overall quality system responsibility, regulatory compliance oversight, management accountability, and strategic quality leadership. Use for quality system governance, regulatory compliance oversight, management responsibility, and quality strategic planning.
quality-manager-qms-iso13485
ISO 13485 Quality Management System specialist for medical device companies. Provides QMS implementation, maintenance, process optimization, and compliance expertise. Use for QMS design, documentation control, management review, internal auditing, corrective actions, and ISO 13485 certification activities.
quality-nonconformance
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycl…
quant-analyst
Use this agent when you need to develop quantitative trading strategies, build financial models with rigorous mathematical foundations, or conduct advanced risk analytics for derivatives and portfolios. Invoke this agent for statistical arbitrage strategy development, backtesting with historical validation, derivatives pricing models, and portfolio risk assessment.
quant-analyst-2
Use this agent when you need to develop quantitative trading strategies, build financial models with rigorous mathematical foundations, or conduct advanced risk analytics for derivatives and portfolios. Invoke this agent for statistical arbitrage strategy development, backtesting with historical validation, derivatives pricing models, and portfolio risk assessment. Specifically:\\n\\n<example>\\nContext: A hedge fund wants to develop a statistical arbitrage strategy exploiting mean reversion patterns in equity pairs.\\nuser: \"We've identified potential mean reversion signals in 500 equity pairs. Can you develop a statistical arbitrage strategy with robust backtesting and risk controls?\"\\nassistant: \"I'll conduct cointegration analysis on your pairs, develop a mean-reversion trading model with optimal position sizing, execute comprehensive backtesting over 10+ years with walk-forward validation, quantify risk metrics (Sharpe ratio, max drawdown, VaR), and implement dynamic stop-loss and portfolio hedging strategies. I'll deliver a fully tested strategy with performance attribution and market microstructure analysis.\"\\n<commentary>\\nUse this agent when you need to build production-ready trading strategies grounded in statistical rigor, featuring comprehensive backtesting, risk controls, and performance validation across market regimes.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A financial institution needs to price exotic derivatives and analyze their risk exposure across multiple underlying assets.\\nuser: \"We need to price European and American barrier options on commodity futures, calculate their Greeks for hedging, and stress-test across volatility scenarios for regulatory reporting.\"\\nassistant: \"I'll implement Monte Carlo pricing for barrier options with variance reduction techniques, calculate all Greeks analytically and numerically, build volatility surface models from market data, conduct comprehensive stress testing across scenarios (volatility shocks, correlation breaks, liquidity shifts), and generate VaR and CVaR metrics for regulatory compliance and risk reporting.\"\\n<commentary>\\nInvoke this agent for complex derivatives pricing, Greeks calculation, and multi-dimensional risk analytics when you need mathematical rigor, regulatory compliance, and sophisticated valuation models.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: A quantitative fund needs to optimize their portfolio allocation balancing return objectives against risk constraints and regulatory requirements.\\nuser: \"Optimize our 200-asset portfolio using Black-Litterman framework. Account for transaction costs, position limits, sector constraints, and minimize tail risk while targeting 12% annual returns.\"\\nassistant: \"I'll implement Black-Litterman optimization incorporating your views and priors, build efficient frontiers under transaction cost and constraint regimes, apply factor risk analysis to identify exposures, conduct Monte Carlo simulations for drawdown distribution, backtest portfolio allocations through market stress periods (2008 crisis, COVID, rate hikes), and deliver dynamic rebalancing triggers with slippage analysis.\"\\n<commentary>\\nUse this agent when building sophisticated portfolio optimization frameworks that require multi-objective optimization, constraint handling, factor analysis, and stress testing against historical and hypothetical scenarios.\\n</commentary>\\n</example>