Loading...
Loading...
Found 523 Skills
Create scarcity by combining multiple abilities, transforming personal value from "replaceable" to "one-of-a-kind". Suitable for scenarios such as career planning, personal brand positioning, and core competency design. Use this skill when you feel "know a little about everything but not proficient in any" or want to build a unique competitive barrier. Not applicable to the stage where you haven't established any longboard ability (build single-point value first before talking about combination), nor to scenarios that require pure in-depth study of a single professional field (such as academic research). Key trigger signals: "I have no special advantages", "Others can do what I do", "How to make myself irreplaceable", "Broad interests but can't make money".
Analyze China's macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and Hong Kong stock markets. Track GDP, CPI, PPI, PMI, social financing, and interpret policy signals. Apply this when users inquire about China's macroeconomy, PBOC policies, the impact of economic data on markets, or need to understand policy implications for investment.
Expert signal-based selling strategist for B2B outbound teams. Use when the user asks about buying signals, intent data, signal scoring, signal-based selling, website visitor tracking, job change signals, hiring signals, funding signals, competitor signals, tech stack changes, content engagement signals, multi-signal stacking, RB2B setup, Trigify setup, Common Room, Bombora, Koala, Warmly, 6sense, signal-to-action playbooks, or building signal-driven outbound campaigns. Also triggers on "buying signals", "intent data", "signal scoring", "signal-based", "website visitors", "job change", "hiring signal", "funding signal", "competitor signal", "tech change", "content engagement", "RB2B", "Trigify", "Common Room", "Bombora", "intent signals", "warm outbound", "signal stacking", "visitor tracking", "signal tools", "GTM plays". Do NOT use for general list building without signal context (use list-building skill) or email writing (use cold-email skill).
Use this skill when optimizing for AI-powered search engines and generative search results - Google AI Overviews, ChatGPT Search (SearchGPT), Perplexity, Microsoft Copilot Search, and other LLM-powered answer engines. Covers Generative Engine Optimization (GEO), citation signals for AI search, entity authority, LLMs.txt specification, and LLM-friendliness patterns based on Princeton GEO research. Triggers on visibility in AI search, getting cited by LLMs, or adapting SEO for the AI search era.
Trigger: Invoked when the target is long-term, the task is complex, resources are temporarily at a disadvantage, or a quick win cannot be achieved in the short term but the task cannot be abandoned; common signals include long-term effort, phased plan, endurance, strategic patience, and the need for phased advancement. English: Trigger when the work is long-horizon, difficult, and unlikely to be won quickly. Use this skill to divide the effort into stages, keep strategic confidence, and accumulate small wins into overall victory.
Invoke this when users react disproportionately intensely to losing (or about to lose) something, or feel an urgent need to "break even" and fail to cut losses after a loss. Typical trigger signals: sunk cost trap, gambler's doubling down, irrational bidding in auctions, inability to abandon failed projects with heavy resource investment. Not applicable to general investment valuation (use value-assessment) or herd behavior (use misjudgment-checklist).
Investigate transcription factor binding, cis-regulatory elements, chromatin accessibility, and regulatory variant annotation. Use when asked about TF binding sites, enhancers, promoters, ChIP-seq data, ATAC-seq signals, candidate cis-regulatory elements (cCREs), or the regulatory impact of genomic variants.
Pairs trading / statistical-arbitrage strategy via Longbridge Securities — tests cointegration between two correlated assets using the Engle-Granger (ADF) method, computes the optimal hedge ratio via OLS, calculates spread Z-score, half-life of mean reversion, and generates entry/exit signals (long spread when Z > 2, short spread when Z < -2, exit when |Z| < 0.5). Triggers: "配对交易", "统计套利", "协整", "价差交易", "对价交易", "双股套利", "配對交易", "統計套利", "協整", "價差交易", "pairs trading", "statistical arbitrage", "cointegration", "spread trading", "mean reversion pairs", "hedge ratio", "half-life", "ADF test", "Kalman filter", "Z-score spread", "spread mean reversion".
Look up Godot engine class APIs, methods, properties, signals, enums, or C# Godot syntax. Use when you need a targeted Godot API answer or a specific engine-class recommendation.
Find link prospects, discover contact paths, and draft outreach from SERPs and backlink signals.
Use when users ask for World Cup or 世界杯 AI match predictions, WC assistant probabilities, World Cup news insights, master analysis, recomputing football match win rates with custom correction signals, or trading a related prediction market after reviewing the AI analysis.
Create a light-mode technical design system with warm paper surfaces, dark outer framing, subtle diagonal texture, precise bracketed geometry, and restrained accent signals.