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Found 384 Skills
Nostr protocol operations for AI agents — post kind:1 notes, read feeds, search by hashtag tags (#t filter), get/set profiles, derive keys (NIP-06 default via m/44'/1237'/0'/0/0), amplify aibtc.news signals to the Nostr network, and manage relay connections. Uses nostr-tools + ws packages. Write operations require an unlocked wallet. Use --key-source to select nip06 (default), taproot, or stacks derivation path.
Analyze competitor pricing strategies across e-commerce platforms. Map price positions, identify pricing gaps, evaluate price elasticity signals, and develop data-driven pricing strategies.
Transaction-verified trading signals on Base. Register agent as signal provider, publish trades with TX hash proof, consume signals from top performers via REST API. All track records verified against blockchain data. No fake performance claims. Triggers on: "publish signal", "post trade signal", "register provider", "subscribe to signals", "copy trade", "bankr signals", "signal feed", "trading leaderboard", "read signals", "get top traders".
ALWAYS LOAD WHEN WORKING WITH PYSIDE6, QT, OR DESKTOP GUI CODE. PySide6 desktop apps: Manager→Service→Wrapper architecture, qasync integration, signals, system tray, testing.
OSINT-based technology stack identification. Discovers company tech stacks using passive reconnaissance across 17 intelligence domains. Given a company name (and optional domain hint), infers frontend, backend, infrastructure, and security technologies using publicly available signals.
Trigger: Prioritize invoking this skill when you are about to make judgments, decisions or put forward suggestions while facts, context or first-hand information are still insufficient. Common signals include unknowns, information gaps, insufficient evidence, unfamiliarity with the domain, and the need to first figure out the current status. Trigger this skill before making claims or decisions when context is incomplete, evidence is weak, or the domain is unfamiliar. Use this skill to investigate first, gather firsthand facts, and let reality shape the conclusion.
Trigger: Invoke when you start from scratch with extremely limited resources and need to find the minimum viable entry point first to build a stable base. Common signals include bootstrap, MVP, pilot, first foothold, and small team startup. Trigger when starting from almost nothing and needing a viable foothold before scaling up. Use this skill to build a durable base, start small, and grow from a validated nucleus instead of scattering effort.
Apply signaling theory (Spence, 1973) to analyze how agents communicate private information through costly, credible signals under information asymmetry. Use this skill when the user needs to evaluate whether a corporate action serves as a credible signal, analyze dividend or IPO signaling, assess separating vs pooling equilibria, or when they ask 'why do firms pay dividends', 'is this signal credible', or 'how does underpricing signal quality'.
Develops digital marketing strategies for clients whose target audience spans multiple generational cohorts — calibrating content format, platform choice, trust signals, and tone to the distinct digital behaviours of Generation Z, Millennials, Generation X, and Baby Boomers. Invoke when a client's audience includes customers aged 18–65+ and current messaging is failing to resonate with one or more generational segments, or when launching a product or service that must appeal across multiple age groups simultaneously.
Extract conversation skeleton or error signals from a single session file at a given path. Invoked by session-research agents after they have selected which sessions to deep-dive — not intended for direct user queries.
Offer a structured but non-clinical space for a PhD student or researcher to check in on their mental and emotional state, especially around imposter syndrome, guilt about rest, chronic over-promising, and burnout signals. Use this skill when the user expresses feelings of inadequacy, constant comparison to peers, fear of disappointing their advisor, guilt about taking time off, or exhaustion that isn't just physical. Trigger on phrases like "I feel behind", "everyone is smarter than me", "I can't rest", "I'm burned out", "imposter syndrome", "I'm not good enough", "I'm afraid of disappointing", "I should be working", or whenever the tone of the user's message suggests emotional strain rather than a technical question. Also trigger gently if these signals appear incidentally in a task-focused conversation.
Earnings estimate revision analysis for listed companies via Longbridge — tracks analyst consensus revision direction (upgrade / downgrade), earnings surprise (SUE = standardised unexpected earnings), PEAD post-earnings drift signals (consecutive beats + upward revisions = positive momentum), and management guidance revision impact. Builds on raw data from longbridge-consensus. Triggers: "预期修正", "盈利修正", "分析师上调", "分析师下调", "超预期", "低于预期", "PEAD", "财报后漂移", "业绩意外", "管理层指引", "預期修正", "盈利修正", "分析師上調", "分析師下調", "超預期", "低於預期", "財報後漂移", "業績意外", "管理層指引", "earnings revision", "estimate revision", "analyst upgrade", "analyst downgrade", "beat miss surprise", "SUE", "PEAD post-earnings drift", "guidance revision", "estimate cut raise".