Найдите подходящую возможность для вашего агента.
Build LangChain ReAct agents with tools, caching, and semantic routing for this stock investment assistant. Use for creating new tools, extending agent capabilities, adding semantic routes, debugging LangGraph issues, and following project patterns (CachingTool, ToolRegistry, AgentResponse).
Real-time breaking news monitor using Grounding API. Continuously scans for market-moving events, classifies urgency (CRITICAL/HIGH/MEDIUM), and triggers immediate alerts to War Room and Notification Agent. Optimized for speed and recall.
Apex Trader Funding account compliance and Rithmic data feed optimization for NinjaTrader 8. Use when implementing daily loss limits, trailing drawdown monitoring, order rate-limiting, Rithmic disconnect detection, or ensuring Apex account compliance.
Thrivve Partners Monte Carlo simulation to forecast story/task completion based on historical throughput. Use when the user asks "how many stories/tasks will be completed by [date]" with historical daily throughput data. Requires at least 10 days of throughput history and a future target date. Provides probabilistic forecasts at specified confidence levels (default 85%).
Comprehensive AI ethics and responsible AI development specialist. Use PROACTIVELY for bias assessment, fairness evaluation, ethical AI implementation, community impact analysis, and regulatory compliance. Trigger keywords include bias, fairness, discrimination, disparate impact, ethical AI, responsible AI, AI safety, alignment, algorithmic justice, AI regulation, model audit, AI governance. Use for high-risk AI systems (employment, lending, healthcare, criminal justice, education), systems affecting vulnerable populations, large-scale deployments (more than 10,000 people), automated decision-making, facial recognition, biometric systems, and predictive analytics on people.
Design assessment blueprints mapping learning objectives to valid assessment types and create detailed rubrics with performance criteria. Use when planning assessments, creating rubrics, or ensuring constructive alignment. Activates on "create assessment blueprint", "design rubric", "assessment alignment", or "backwards design assessment".
Critical guide for implementing live price tracking in NinjaTrader strategies. Use when fixing the Close[0] bug, implementing OnMarketData hooks, adding tick-level price tracking, or debugging trailing stops that only update at bar close.
This skill should be used when the user asks to "write a plan", "create training plan", "plan my fine-tuning", "make a plan for model training", or when starting a new training task that requires multiple steps. Creates detailed implementation plans with bite-sized tasks for LLM fine-tuning workflows.
Proactively challenge implementation plans, architecture decisions, and design assumptions. Use when reviewing plans, designs, or technical decisions. Verifies claims via web search, cross-references documentation, identifies risks and gaps, and surfaces hidden assumptions. Activates automatically when evaluating technical proposals.
AI-powered portfolio risk management and optimization. Use when sizing positions, managing portfolio allocation, calculating risk metrics (VaR, Sharpe), rebalancing, or implementing defensive strategies. Covers: position sizing, correlation analysis, drawdown management, dynamic rebalancing, kill switches.
Generates a deep-psychology buyer persona dossier. It strictly follows a 10-step market analysis protocol (Demographics, Failed Solutions, Tone Switching, Genie Simulation, Anti-Goals) to create a strategic foundation for marketing campaigns.
Génération et mise à jour de rapports hebdomadaires avec CFD (Cumulative Flow Diagram). Activer ce skill quand l'utilisateur parle de récapitulatif, bilan hebdomadaire, rapport de la semaine, ou CFD.
Multi-agent data science framework using DS-STAR (Data Science - Structured Thought and Action) architecture. Automates data analysis through collaborative AI agents with multi-model support (Haiku, Sonnet, Opus). Use for exploratory data analysis, automated insights, and iterative data science workflows.
Generates implementation plans with code reuse analysis, architecture design, and complexity estimation during the /plan phase. Use when planning feature implementation, analyzing code reuse opportunities, or designing system architecture after specification phase completes. Integrates with 8 project documentation files for constraint extraction. (project)
Cost estimation scripts and tools for calculating GPU hours, training costs, and inference pricing across Modal, Lambda Labs, and RunPod platforms. Use when estimating ML training costs, comparing platform pricing, calculating GPU hours, budgeting for ML projects, or when user mentions cost estimation, pricing comparison, GPU budgeting, training cost analysis, or inference cost optimization.
Use AI to reshape strategic decisions, not just execution. Identify where AI creates competitive advantage, shifts constraints, and enables new business models.
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.
Provides expert code quality analysis, technical debt assessment, and maintainability evaluation. Use this skill when the user needs code review, tech debt inventory, refactoring prioritization, or code health assessment. Triggers include requests for code quality review, technical debt audit, maintainability analysis, or when asked to evaluate codebase health. Produces detailed consultant-style reports with findings and prioritized recommendations — does NOT write implementation code.
This skill should be used when the user needs structured thinking frameworks to analyze decisions, problems, or tasks. Apply multiple decision-making methodologies (10/10/10, 5 Whys, Eisenhower Matrix, First Principles, Inversion, Occam's Razor, The One Thing, Opportunity Cost, Pareto, Second-Order Thinking, SWOT, Via Negativa) to ask probing questions and guide deep reflection. Use when the user asks to "think through", "analyze", "evaluate", "reflect on", or "brainstorm" decisions or problems.
Creates detailed technical specifications including architecture, data models, APIs, and technology choices. Use when you need to document technical implementation details, system design, or API contracts. Provides concrete technical guidance for implementation.
