GitHub
kalshi-trading
Trade on Kalshi prediction markets. Use when user wants to check markets, analyze odds, view positions, place orders, or research prediction market opportunities. Kalshi is a regulated exchange for event contra...
Skills IA databases finance investment
Découvrez les skills databases finance investment, comparez leurs dépôts et consultez leurs instructions.
Catégories: databases finance investment
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Explorer
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goal-setting
Use when setting, reviewing, or discussing personal career goals. Supports goal design with WIN-WIN approach for both individual and organization.
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market-regimes
Market regime detection and regime-specific trading strategies. Use when analyzing market conditions to select appropriate strategy.
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trading-wisdom
Core trading insights learned from Agent Arena competition. Use when making any trading decision to apply institutional knowledge.
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risk-management
Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.
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entry-signals
Entry signal patterns with historical success rates. Use when deciding whether to open a position.
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mermaid-diagrams
Expert guidance on creating accurate, visually polished Mermaid diagrams for architecture documentation.
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analyzing-competitor-content
Analyzes competitor content strategy and identifies differentiation opportunities. Use when the user asks about competitor analysis, content gaps, competitive research, or finding unique angles.
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performance-engineering
Domain specialist for performance optimization, profiling, caching, and resource management. Scope: profiling tools, caching strategies, load testing, observability, N+1 query detection, algorithm complexity an...
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stock-analyst
Stock market analyst using Yahoo Finance API (FREE).
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demand-generation
Эксперт demand generation. Используй для стратегий генерации спроса, lead scoring, кампаний и funnel optimization.
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pricing-strategy
Эксперт по ценообразованию. Используй для pricing models, value-based pricing и monetization strategies.
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status-report-template
Эксперт по статус-отчётам. Используй для создания шаблонов отчётов, executive summaries и project dashboards.
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ekkos-plan-assist
Create structured plans for complex tasks. Activate when the user asks to implement a feature, build something with multiple steps, needs a project roadmap, or when a task has 3 or more distinct steps. This ski...
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the-oracle
This skill should be used when the user asks to "use the oracle" or "ask the oracle" for deep research, analysis, or architectural questions. The oracle excels at multi-source research combining codebase explor...
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cost-calculator
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 pric...
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thermodynamic-economics
Thermodynamic foundations for distributed systems design. Use when analyzing energy flows, EROEI calculations, autopoietic closure, or validating economic models against physical constraints. Triggers: energy...
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critique
Generate critical analyses of Univrs.io ecosystem releases. Use when critiquing DOL, VUDO, Spirit, ENR, CryptoSaint, learn.univrs.io, or vudo.univrs.io changes. Invoked via /critique to ask "Who benefits from t...
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alphavantage-routing
Reference for all Alpha Vantage MCP tools. Use when exploring available data.
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alphavantage-earnings
Consensus estimates and earnings data from Alpha Vantage.
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neo4j-transcript
Query earnings call transcripts, Q&A exchanges, and prepared remarks from Neo4j. Use when fetching transcript or earnings call data.
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perplexity-research
Exhaustive multi-source research reports. Use for deep investigation.
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earnings-attribution
Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.
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earnings-prediction
Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.