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Found 323 Skills
Identify stocks where blogger sentiment has changed significantly. Use when users want to find who changed their mind or detect sentiment reversals.
Retrieve analysts' price target summary for any stock using Octagon MCP. Use when evaluating analyst sentiment, upside/downside potential, consensus expectations, and tracking target trends over time.
Manage Jupyter notebooks — create, execute cells, manage kernels via the container's Jupyter Server REST API.
Researches SEC filings, earnings calls, analyst reports, and market data. Use when the album subject involves financial crimes, corporate stories, or market events.
Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.
Estimates task effort by analyzing complexity, dependencies, historical velocity, and risk factors. Produces a structured estimate with confidence levels.
Create advanced Excel pivot tables with calculated fields and slicers. Use when building data summaries or creating interactive dashboards. Trigger with phrases like 'excel pivot', 'create pivot table', 'data summary'.
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
Création, édition et analyse complète de tableurs avec support des formules, du formatage, de l'analyse de données et de la visualisation. Quand Claude doit travailler avec des tableurs (.xlsx, .xlsm, .csv, .tsv, etc.) pour : (1) Créer de nouveaux tableurs avec formules et formatage, (2) Lire ou analyser des données, (3) Modifier des tableurs existants en préservant les formules, (4) Analyse et visualisation de données dans les tableurs, ou (5) Recalculer des formules.
HTML-rendered version of /cc-canary — produces a long-form nerf-detection report as a standalone dark-theme HTML file and auto-opens it in the browser. Same analysis as /cc-canary (forensic markdown writeup), same narrative placeholders, but the output is a styled HTML page suitable for viewing, sharing, or printing. Writes `./cc-canary-<YYYY-MM-DD>.html` to the current directory.
All-in-one Assistant for Data Analysis and Office Productivity. Covers end-to-end workflows including data processing, analytical insights, report writing, PPT creation, and data visualization. Always approach from an expert perspective and think one step ahead for users. Proactively confirm with users when encountering uncertain issues. Supported features: Excel data analysis, campaign data review, ROI calculation, data visualization, report generation, PPT creation, formula generation. Use this skill when users mention terms like "analyze data", "create report", "make PPT", "Excel", "campaign analysis", "ROI", "review", "weekly report", "monthly report", "data processing", "chart", "visualization", "presentation", "spreadsheet", "formula".
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.