Dollar-cost averaging for NEAR tokens with flexible scheduling, performance tracking, and cancellation support.
Data sourced from ClawHub. View on ClawSkills
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install near-dcaOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install near-dcaβ 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/near-dca/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Near Dca can do for your AI workflow
Dollar-cost averaging for near directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,042+ 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 Near Dca
Help me get started with Near Dca
Explains what Near Dca does, walks through the setup, and runs a quick demo based on your current project
Use Near Dca to dollar-cost averaging for NEAR tokens with flexible scheduling, per...
Invokes Near Dca with the right parameters and returns the result directly in the conversation
What can I do with Near Dca in my developer & devops workflow?
Lists the top use cases for Near Dca, with example commands for each scenario
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Near Dca extends your AI assistant with the ability to dollar-cost averaging for NEAR tokens with flexible scheduling, performance tracking, and cancellation support. 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 Near Dca as its underlying capability.
Near Dca 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 Near Dca 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.
Near Dca installs like any other MCP skill: drop the folder into `~/.claude/skills/near-dca/` for global access, or `.claude/skills/near-dca/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/near-dca`, or let the AI decide when it's the right tool for your request.
Near Dca has been installed 1,042 times, making it one of the more actively used skills in the Developer & DevOps 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/near-dca/ for personal use (all projects), or .claude/skills/near-dca/ for project-specific use. Restart your AI client, then invoke with /near-dca or let the AI discover it automatically.
Near Dca supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Near Dca is free to install. Check the repository for licensing information.
Dollar-cost averaging for NEAR tokens with flexible scheduling, performance tracking, and cancellation support.
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Identifies repetitive steps in your workflow and sets up Near Dca to handle them automatically
Near Dca is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.