Data & Analytics Skills

Pipeline for Neuropixels extracellular electrophysiology: probe geometry (ProbeInterface), Kilosort sorting via SpikeInterface, quality metrics, unit curation (ISI, firing rate, SNR), post-sort analysis (PSTH, tuning curves, population decoding). Supports Neuropixels 1.0/2.0/Ultra in rodent/primate experiments.

>- UMAP dimensionality reduction for visualization, clustering prep, and feature engineering. Fast nonlinear manifold learning preserving local and global structure. Standard UMAP (fit/transform, sklearn-compatible), supervised/semi-supervised, Parametric UMAP (NN encoder/decoder, TensorFlow), DensMAP (density), AlignedUMAP (temporal/batch). 15+ distance metrics, custom Numba metrics, precomputed distances. For linear reduction use PCA; for neighborhood graphs use sklearn NearestNeighbors.

>- Out-of-core DataFrame for billion-row data via lazy evaluation and memory-mapped files. Use when data exceeds RAM (10 GB–TB) for fast aggregation, filtering, virtual columns, and visualization without loading. Supports HDF5, Arrow, Parquet, CSV with cloud (S3,

>- Medicinal chemistry filters for compound triage. Drug-likeness rules (Lipinski Ro5, Veber, Oprea, CNS, leadlike, REOS, Golden Triangle, Ro3), structural alerts (PAINS, NIBR, Lilly Demerits), chemical group detectors, complexity metrics, and filter composition query language. Built on RDKit/datamol. For hit-to-lead filtering, library design, ADMET pre-screening. For molecular I/O use rdkit-cheminformatics or datamol.

Apply Edward Tufte's principles to any data visualization, chart, dashboard, or infographic. Use when the user asks to produce, design, critique, or improve a chart, graph, dashboard, KPI tile, table-with-data, sparkline, small multiple, time series, distribution plot, choropleth, or any other visual that communicates quantitative or categorical information. Also triggers on words like "visualize", "viz", "data viz", "chart", "graph", "dashboard", "infographic", "Tufte". Outputs Tufte-compliant designs in either self-contained HTML/SVG or React (Recharts/D3). Defaults to Tufte rules; user can opt out per chart.

Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility

This skill generates professional LinkedIn announcement text for intelligent textbooks by analyzing book metrics, chapter content, and learning resources to create engaging posts with key statistics, hashtags, and links to the published site. Use this skill when you need to create social media announcements about textbook completion or major milestones.

Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights

Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.

Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.

Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.

Use when preparing executive reports, evaluating investments, or calculating ROI/break-even/payback period. 30-minute analysis (87.5% time saving). Includes scenario analysis.

Master metrics definition, KPI tracking, dashboarding, A/B testing, and data-driven decision making. Use data to guide product decisions.

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. All analysis and output are conducted in English.

This skill should be used when analyzing sector and industry performance charts to assess market positioning and rotation patterns. Use this skill when the user provides performance chart images (1-week or 1-month timeframes) for sectors or industries and requests market cycle assessment, sector rotation analysis, or strategic positioning recommendations based on performance data. All analysis and output are conducted in English.

This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.

Filter and screen stocks by financial metrics like P/E ratio, market cap, dividend yield, and growth rates. Analyze and compare stocks from CSV data.

Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. All analysis and output are conducted in English.

PostHog analytics, event tracking, feature flags, dashboards

Interpret YouTube Analytics, TikTok Analytics, and video performance data. Identifies trends, explains metrics, and provides actionable recommendations for growth. Use when analyzing video performance, understanding metrics, or optimizing channel strategy.

> Render financial charts via the local chart web app (workspace at the repo (`flow`) and cross-symbol signed-bar comparison (`cohort`) — both Recharts — plus SEPA strategy dashboard (`sepa`) and short-term multi-timeframe prediction dashboard (`intraday`) — both TradingView Lightweight Charts. Multi-timeframe K-line review lives inside `intraday` (the standalone kline chart type was removed). The server fetches Longbridge data itself (kline / capital flow) and computes all indicators (MA, MACD, RS, trend template, volume profile, divergence/beichi detection) in TypeScript; the caller only POSTs `{type, symbol, ...}` to `/api/charts` and gets back `{id, url, technicals?}`. Charts persist as data JSON under 短线预测、多周期K线、MACD、入场判断可视化、可视化、render chart, plot, visualise, sepa dashboard, intraday prediction dashboard.

> Short-term multi-timeframe (5m/15m/1h) technical read for a single symbol — pulls K-line across three timeframes, reads MACD + swing structure, writes a direction call (long/short/neutral) with an explicit anchor price, a 2–4 scenario forward read, a range-bound playbook (long tactic + short tactic; a neutral call carries a numeric low/high zone instead of an entry plan and is scored on whether the zone held), an entry/stop/target plan with dual-basis R/R (T1 + T2) for directional calls only, position sizing with a nominal cap from the live broker account, an event-risk gate (earnings / FOMC / CPI), and market/sector alignment + relvol volume checks — MACD divergence/背驰, candle patterns like Pin Bar, and 123 structures are auto-detected and drawn server-side — then renders it via the `chart` skill (type `intraday`, POST preview → PATCH prediction) and logs a journal entry. US-only, single-symbol, short horizon (intraday to a few sessions) — a companion to `market-session-tracker`, not a replacement. Pin Bar、入场点、盈亏比、short-term call, intraday prediction, entry point, risk reward ratio, multi-timeframe MACD.

> 交易决策关卡——任何买入/加仓/卖出/减仓动作发生前，先过一遍写死的检查关卡， 打分给出判定，判定与实际执行不一致的记为违规，落盘 JSON 供复盘统计。三个 入口：买入漏斗（六层打分，硬门+软分）、卖出触发器（复用用户既有的 6/27 持有计划触发线、周期见顶清单、爆仓潮反向保护）、巡检（对长桥全部持仓批量跑 卖出触发器）。不拦截下单（本仓库长桥只读），约束力来自违规账单而非技术拦截。 巡检、跑一遍卖出检查、算一下违规账单、我该不该现在动这只票、trade decision gate, buy funnel, sell trigger, position patrol, violation ledger.

Build DSPy evaluation harnesses with rich-feedback metrics that are essential for GEPA optimization. Use when writing a metric function, calling dspy.Evaluate, splitting dev/val sets, debugging "why is my optimizer not improving?", or designing CI-ready DSPy eval suites.

> 상사에게 보고하거나 누군가에게 무언가를 설명할 때 결론부터 명확하게 전달하도록 도와주는 스킬입니다. '이거 어떻게 보고하지', '결론부터 말하는 법', '팀장님한테 보고할 내용 정리해줘', '설명을 쉽게 하고 싶어'처럼 말하면 됩니다. 결론 먼저(두괄식) 구조, 상사 유형별 보고 방식, 상대 머리에 꽂히는 설명 순서로 30초 안에 전달되는 보고·설명을 설계합니다.

| 마크다운 보고서를 그대로 브라우저에서 열리는 단일 파일 HTML로 바꿔 드립니다. 외부 라이브러리 없이 한 파일로 완결돼 이메일 첨부·인쇄·오프라인 열람이 됩니다. 현황·인시던트·사업계획·설명서·재무·PR 6종 서식을 갖췄고, 보고서 종류에 맞춰 자동으로 골라 줍니다.

| AI(ChatGPT·Claude·Gemini 등)가 쓴 한국어 텍스트의 "AI 티"를 정밀하게 제거해 사람이 쓴 글처럼 윤문하는 한국어 특화 스킬입니다. 번역투(~를 통해/~에 있어서/이중 피동), 영어 인용 과다, 기계적 병렬(첫째·둘째·셋째), AI 특유 관용구(결론적으로/시사하는 바가 크다/혁신적인), 피동태 남용, 문두 접속사 남발, 형식명사 과다, 이모지·불릿·볼드 남용 등 10대 카테고리 × 40+ 패턴을 S1/S2/S3 심각도로 탐지·윤문하고, 의미는 한 글자도 건드리지 않습니다(고유명사·수치·날짜·인용 100% 보존, 변경률 30% 초과 시 경고·50% 초과 시 강제 중단). 적용 대상 — 모든 한국어 텍스트 산출물(블로그·뉴스레터·카피·사업계획서·제안서·보고서·이메일·랜딩 카피·칼럼·리포트). ai-slop-reviewer가 1차 일반 후처리를 마친 뒤 2차 한국어 정밀 윤문으로 호출하는 것을 권장합니다. 적용 제외 — 단순 맞춤법·오탈자 교정(직접 처리), 번역(번역 스킬), 내용 추가·삭제 동반 재작성(별도 집필 스킬), 코드·JSON·CSV·차트·표. 한국 번역학계 8유형 번역투 계보를 통합한 10대 카테고리 분류 + 신규 패턴 A-16/A-18/A-19/E-7 + post-editese 14메트릭 기반 한국어 정밀 윤문 스킬입니다.

| CSV·Excel 데이터의 프로파일링·품질 보고서를 만들어 드립니다. 컬럼 요약·결측값/이상값 탐지·상관관계 분석을 거쳐 데이터 품질 보고서로 정리합니다.

| GA4·네이버·메타·카카오·구글 광고 데이터를 묶어 채널별 ROAS·KPI를 분석하고, 인사이트와 다음 액션 플랜까지 담은 마케팅 성과 보고서를 만들어 드립니다.

| 한국 팀의 주간 비즈니스 리뷰(WBR) 보고서 자동 생성 스킬입니다. 일일 노트·완료 태스크·KPI 데이터를 입력받아 임원/팀 두 버전(격식체/구어체)으로 작성합니다. Notion·Linear·Asana·Slack MCP가 가용하면 자동 데이터 fetch, 없어도 자유 텍스트 입력 fallback.

> 직장에서 제출하는 주간업무보고를 빠르게 작성해주는 스킬입니다. '주간보고 작성해줘', '이번 주 한 일 정리', '주간업무보고', '팀장님께 보낼 보고', '한 주 업무 리뷰'처럼 말하면 됩니다. 한 주 성과·진행 중 일·이슈·다음 주 계획을 정해진 틀로 정리하고, 격식체/구어체 톤까지 맞춰 보고서 초안을 만들어줍니다.

> Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.

为受监管制造业中的质量控制、不合格调查、根本原因分析、纠正措施和供应商质量管理提供编码化专业知识。基于在FDA、IATF 16949和AS9100环境中拥有15年以上经验的质量工程师的见解。包括不合格报告生命周期管理、纠正与预防措施系统、统计过程控制解释和审核方法。适用于调查不合格、进行根本原因分析、管理纠正与预防措施、解释统计过程控制数据或处理供应商质量问题。license: Apache-2.0

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.

Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.

Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.

Generate images and visualizations from Revit/IFC files without BIM software. Python-based noBIM tool for batch processing.

Push Excel data back to BIM models. Update parameters, properties, and attributes from structured spreadsheets.

Compare cost estimates across projects, versions, and scenarios. Identify variances, benchmark against standards, and generate comparison reports.

Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.

Track actual vs planned productivity using CWICR norms. Calculate productivity rates, identify variances, and generate performance reports.

Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.

Analyze construction resources (labor, materials, equipment) from DDC CWICR database. Calculate resource requirements, productivity metrics, and optimization recommendations.

Analyze budget vs actual cost variances. Identify overruns, forecast final costs, and generate variance reports.

Automatically generate daily construction reports from field data, worker inputs, weather, and progress photos. Creates professional PDF reports.

Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.