Comprehensive time series data science skill covering feature engineering, model training, and competition-winning strategies for forecasting and prediction problems.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install time-series-analysisOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install time-series-analysisβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/time-series-analysis/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What time-sereis-analysis can do for your AI workflow
Comprehensive time series data directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,473+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing time-sereis-analysis
Help me get started with time-sereis-analysis
Explains what time-sereis-analysis does, walks through the setup, and runs a quick demo based on your current project
Use time-sereis-analysis to comprehensive time series data science skill covering feature engin...
Invokes time-sereis-analysis with the right parameters and returns the result directly in the conversation
What can I do with time-sereis-analysis in my data & analytics workflow?
Lists the top use cases for time-sereis-analysis, with example commands for each scenario
Guides & tutorials for AI skills
time-sereis-analysis extends your AI assistant with the ability to comprehensive time series data science skill covering feature engineering, model training, and competition-winning strategies for forecasting and prediction problems. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using time-sereis-analysis as its underlying capability.
time-sereis-analysis works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install time-sereis-analysis once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
time-sereis-analysis installs like any other MCP skill: drop the folder into `~/.claude/skills/time-series-analysis/` for global access, or `.claude/skills/time-series-analysis/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/time-series-analysis`, or let the AI decide when it's the right tool for your request.
time-sereis-analysis has been installed 1,473 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/time-series-analysis/ for personal use (all projects), or .claude/skills/time-series-analysis/ for project-specific use. Restart your AI client, then invoke with /time-series-analysis or let the AI discover it automatically.
time-sereis-analysis supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
time-sereis-analysis is free to install. Check the repository for licensing information.
Comprehensive time series data science skill covering feature engineering, model training, and competition-winning strategies for forecasting and prediction problems.
Automate my data & analytics tasks using time-sereis-analysis
Identifies repetitive steps in your workflow and sets up time-sereis-analysis to handle them automatically
MCP vs traditional plugins: what's the difference?
time-sereis-analysis is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.