Dados e Análise

Legal spend analytics, anomaly detection, and benchmarking. Analyses outside counsel invoices by matter type, law firm, and business unit. Flags billing anomalies and produces quarterly spend reports with rate benchmarking against market data.

Pesquise, analise e sintetize em todas as suas sessões do Claude Code. Pergunte "o que eu tentei da última vez?" e obtenha respostas com links para o resumo.

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

Activate for: incident, outage, system failure, post-mortem, incident post-mortem, root cause analysis, RCA, five whys, corrective action, lessons learned, incident log, incident report, P1, P2, major incident, incident review, incident timeline, what went wrong, service outage, payment failure, data breach incident, incident response, MTTD, MTTR, incident management, on-call, escalation, incident

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization i

This skill should be used when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Use for Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.

Systematic chart reading and technical analysis for NSE/BSE Indian equities. Covers trend identification, support/resistance mapping, volume analysis, indicator dashboards, and probabilistic scenario building. Uses Groww MCP for live data and yfinance for history. Use when the user asks to: read a chart, identify trends, find support/resistance levels, check indicators (RSI, MACD, Bollinger, ADX,

Production-grade tabular data manipulation using pandas & openpyxl. This skill should be used when editing, creating, filtering, sorting, merging, pivoting, deduplicating, validating, or transforming CSV, Excel (xlsx/xls), JSON, Parquet, or TSV files. Supports 18 operations via CLI scripts, advanced Excel formatting (multi-sheet, freeze, auto-filter, validation, styling), and file-converter integr

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Convert & transform files - images (resize, format, HEIC), markdown (PDF/HTML), data (CSV/JSON/YAML/TOML/XML), SVG, base64, text encoding. Cross-platform, single & batch mode. This skill should be used when converting file formats, resizing images, generating PDFs from markdown, or transforming data between formats.

Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like DPO.

Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.