Track and log progress on long-term goals with daily updates, milestone marking, MRR tracking, and weekly summaries.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install goal-trackerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install goal-trackerβ 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/goal-tracker/π‘Extract and place the folder at the path above, then restart your agent.
Category
πProduct ManagerPlatforms
What Goal Tracker can do for your AI workflow
Log progress on long-term directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,534+ 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 Goal Tracker
Help me get started with Goal Tracker
Explains what Goal Tracker does, walks through the setup, and runs a quick demo based on your current project
Use Goal Tracker to track and log progress on long-term goals with daily updates, miles...
Invokes Goal Tracker with the right parameters and returns the result directly in the conversation
What can I do with Goal Tracker in my product manager workflow?
Lists the top use cases for Goal Tracker, with example commands for each scenario
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Goal Tracker extends your AI assistant with the ability to track and log progress on long-term goals with daily updates, milestone marking, MRR tracking, and weekly summaries. 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 Goal Tracker as its underlying capability.
Goal Tracker 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 Goal Tracker 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.
To install Goal Tracker, copy the skill folder to `~/.claude/skills/goal-tracker/` for use across all your projects, or `.claude/skills/goal-tracker/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/goal-tracker` or just describe your goal and the AI will pick it up automatically.
Goal Tracker has been installed 1,534 times, making it one of the more actively used skills in the Product Manager category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/goal-tracker/ for personal use (all projects), or .claude/skills/goal-tracker/ for project-specific use. Restart your AI client, then invoke with /goal-tracker or let the AI discover it automatically.
Goal Tracker supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Goal Tracker is free to install. Check the repository for licensing information.
Track and log progress on long-term goals with daily updates, milestone marking, MRR tracking, and weekly summaries.
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Links
Automate my product manager tasks using Goal Tracker
Identifies repetitive steps in your workflow and sets up Goal Tracker to handle them automatically
Goal Tracker is categorized under Product Manager. These skills help AI agents perform specialized tasks in this domain.
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