data-algo-skill

Social platform algorithm consultant — applies Twitter/X's production-grade recommendation patterns to your social data pipeline. Use when building content collectors, recommendation engines, ranking systems, user graph analysis, or content moderation for social platforms (Douyin, TikTok, Xiaohongshu, Instagram, YouTube, etc.). Triggers on: "采集", "collector", "推荐算法", "ranking", "feed", "timeline", "信号", "signal", "graph", "follower", "engagement", "内容分类", "topic", "trend", "热度", "content quality", "spam", "toxicity", or any social-platform data processing.

Load when operator works on a trading strategy, backtest, or live-paper discrepancy and says "回测" / "backtest" / "策略" / "strategy" / "Sharpe" / "Sortino" / "Calmar" / "MFE" / "MAE" / "edge" / "drawdown" / "MaxDD" / "profit factor" / "expectancy" / "winrate" / "confluence" / "regime" / "scalping" / "scalp" / "swing" / "trend follow" / "mean revert" / "breakout" / "market making" / "slippage" / "spread" / "latency" / "tick" / "OHLC" / "Pine script" / "indicator". Also when comparing live paper performance to backtest and the divergence is unexplained. This is the strategy-design counterpart to /fin-deep (which is state query). Use this skill to diagnose **why** a strategy underperforms, recommend **which** pattern to deploy, and ship the actual Pine / Python implementation.

Terminal and HTML visualization for algorithm analysis. Renders complexity comparisons, algorithm profile dashboards, before/after diffs, and full benchmark reports as terminal UI (json-render + ink) or self-contained HTML with Playwright screenshots. Use when data-algo has produced recommendations, profiles, or benchmark results that need visual display. Also trigger when the user says "显示", "show me", "visualize", "画图", "对比", "dashboard", "chart", "compare algorithms", "生成报告", "screenshot", "截图", or wants a shareable report. Trigger proactively after data-algo completes its Ship phase for before/after improvement visuals.

Algorithm and data structure consultant for real codebases. Analyzes code to identify algorithmic bottlenecks, recommends optimal data structures, and implements the chosen approach directly. Use this skill whenever: the user mentions performance issues with data processing, needs a search/sort/filter/graph/cache/queue implementation, asks to optimize loops or nested iterations, mentions Big-O or complexity concerns, needs to choose between data structures, or is building any feature where algorithm selection materially affects correctness or speed — even if they don't explicitly say "algorithm". Also trigger when the user says "太慢了", "optimize", "bottleneck", "数据结构", "排序", "搜索", "缓存", "去重", "遍历", or describes a problem that maps to a classic algorithmic pattern (sliding window, two pointers, BFS/DFS, DP, greedy, etc.).

System design algorithm consultant — applies production-grade distributed systems patterns to your infrastructure. Use when building load balancers, rate limiters, caches, distributed databases, consensus systems, or any feature where system-level algorithm selection affects scalability, availability, or consistency. Also trigger when the user says "system design", "distributed", "load balancing", "rate limiting", "consistent hashing", "sharding", "replication", "consensus", "Bloom filter", "HyperLogLog", "分布式", "限流", "一致性哈希", "分片", "缓存策略", or describes a problem that maps to a classic system design pattern.

Competitive programming template library for ICPC, OI, and Codeforces-level problems. Provides optimized C++ templates for advanced data structures and algorithms. Use this skill whenever: the user mentions competitive programming, ICPC, OI, Codeforces, or needs specific advanced structures like segment tree, fenwick tree, FFT, suffix array, centroid decomposition, heavy-light decomposition, or any contest-level algorithm template. Also trigger on: "线段树", "树状数组", "后缀数组", "快速傅里叶", "点分治", "树链剖分", "competitive programming", "contest", "ICPC", "OI", or describes a problem needing advanced CP techniques.