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Found 20 Skills
Elliott Wave Theory Signal Engine — Detects swing points via Zigzag, matches 5-wave impulse structures (1-2-3-4-5) and 3-wave corrective structures (A-B-C), validates with Fibonacci relationships, and generates wave positions, target prices, and risk levels. Triggers: "艾略特波浪", "波浪理论", "推动浪", "调整浪", "斐波那契", "1浪", "3浪", "5浪", "abc浪", "艾略特", "波浪計數", "推動浪", "調整浪", "斐波那契", "Elliott wave", "wave theory", "impulse wave", "corrective wave", "fibonacci retracement", "wave count", "wave 3", "wave 5".
Identify EMERGING trends by connecting dots across unrelated sources. Monitor niche communities, academic research, GitHub, patents, funding, regulatory changes. Predict what will trend in 3-6 months based on weak signals.
Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
Guidance for solving ARC-AGI style pattern recognition tasks that involve git operations (fetching bundles, merging branches) and implementing algorithmic transformations. This skill applies when tasks require merging git branches containing different implementations of pattern-based algorithms, analyzing input-output examples to discover transformation rules, and implementing correct solutions. (project)
Analyze sleep data, identify sleep patterns, evaluate sleep quality, and provide personalized sleep improvement recommendations. Supports correlation analysis with other health data.
This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.
Use historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations. Use this skill when the user draws on historical precedent to justify a strategy, needs to evaluate whether a historical comparison is valid, or wants to learn from past events — even if they say 'this is like the dotcom bubble', 'history repeats itself', or 'what can we learn from how X handled this'.
Teaches learners to extract transferable design lessons from real-world codebases through critical evaluation and systematic exploration. Use when a learner wants to study existing code to learn patterns, architecture, or design decisions—not just understand what it does. Guides through navigation, pattern recognition, critical evaluation (deliberate choice vs. compromise), and lesson extraction. Triggers on phrases like "learn from this codebase", "study how X is implemented", "understand design patterns in Y", or when a learner wants to improve by reading real code.