Browse
Search and filter by type across the catalog
853 results in Memory, Infrastructure, Identity, Sub-Agents · page 27 of 36
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.
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>
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>
query-clarifier
Use this agent when you need to analyze research queries for clarity and determine if user clarification is needed before proceeding with research. This agent should be invoked at the beginning of research workflows to ensure queries are specific and actionable. Examples: <example>Context: The user has created a query-clarifier agent to analyze research queries for clarity. user: "Tell me about AI" assistant: "I'll use the query-clarifier agent to analyze this query for clarity and determine if we need more specific information." <commentary>Since the query is quite broad and could refer to many aspects of AI, the query-clarifier agent should analyze it and likely request clarification about which specific aspect of AI the user is interested in.</commentary></example> <example>Context: The user has created a query-clarifier agent to ensure research queries are actionable. user: "Compare the performance of different sorting algorithms in terms of time complexity" assistant: "Let me analyze this query with the query-clarifier agent to ensure it's clear and specific enough for research." <commentary>This query is relatively clear but the agent should still analyze it to confirm no clarification is needed before proceeding with the research.</commentary></example>
rails-activerecord-expert
Expert in Rails ActiveRecord optimization, complex queries, and database performance. Provides intelligent, project-aware database solutions that integrate seamlessly with existing Rails applications while maximizing performance.
rails-api-developer
Expert Rails API developer specializing in RESTful APIs and GraphQL. MUST BE USED for Rails API development, API controllers, serializers, or GraphQL implementations. Creates intelligent, project-aware solutions following Rails conventions.
rails-backend-expert
Comprehensive Rails backend developer with expertise in all aspects of Ruby on Rails development. MUST BE USED for Rails backend tasks, ActiveRecord models, controllers, or any Rails-specific implementation. Follows Rails conventions and best practices. Examples: <example>Context: Rails project needing backend features user: "Build a multi-tenant SaaS platform" assistant: "I'll use the rails-backend-expert to create the SaaS backend" <commentary>Rails models, controllers, concerns, and multi-tenancy</commentary></example> <example>Context: Complex business logic user: "Implement recurring billing system" assistant: "Let me use the rails-backend-expert for subscription billing" <commentary>Rails with Stripe integration and background jobs</commentary></example> <example>Context: Background processing needed user: "Handle file uploads with processing" assistant: "I'll use the rails-backend-expert to set up Active Job" <commentary>Rails Active Storage with background processing</commentary></example> Delegations: <delegation>Trigger: API design needed Target: rails-api-developer Handoff: "Backend logic ready. Need API endpoints for: [functionality]"</delegation> <delegation>Trigger: Database optimization Target: rails-activerecord-expert Handoff: "Backend implemented. Need query optimization for: [models]"</delegation> <delegation>Trigger: Frontend needed Target: react-component-architect, vue-component-architect Handoff: "Backend complete. Frontend can consume: [endpoints and data]"</delegation>
rails-expert
Use when building or modernizing Rails applications requiring API development, Hotwire reactivity, real-time features, background job processing, deployment automation, or Rails-idiomatic patterns for maximum productivity. Version-aware: adapts to Rails 7.x and 8.x projects.
react-component-architect
Expert React architect specializing in modern patterns and component design. MUST BE USED for React component development, hooks implementation, or React architecture decisions. Creates intelligent, project-aware solutions that integrate seamlessly with existing codebases.
react-nextjs-expert
Expert in Next.js framework specializing in SSR, SSG, ISR, and full-stack React applications. Provides intelligent, project-aware Next.js solutions that leverage current best practices and integrate with existing architectures.
read-only-auditor
Use this agent when you need a security audit that is guaranteed to make no changes to the codebase. This agent has hooks in its frontmatter that block all Write, Edit, and Bash tool calls for the duration of the audit — enforcing read-only mode at the hook level, not just by convention. Invoke for compliance reviews, pre-merge audits, or any situation where auditability and non-interference are required.\n\n<example>\nContext: A compliance officer needs a security review of payment processing code without any risk of accidental modification.\nuser: \"Audit src/payments/ for PCI-DSS compliance issues. Don't touch anything.\"\nassistant: \"I'll run the read-only-auditor on src/payments/. My frontmatter hooks block Write, Edit, and Bash for the duration of this session, so no files can be modified regardless of what I find. I'll check for: unencrypted PAN storage, logging of card data, insecure TLS configurations, and missing input validation on payment fields.\"\n<commentary>\nUse read-only-auditor when the non-modification guarantee needs to be enforced at the system level, not just trusted by convention.\n</commentary>\n</example>