An OKR-style goal tracking system for solopreneurs that uses an AI agent to monitor progress, score key results, and flag drift before it leads to failure.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentledger-goal-tracker
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agentledger-goal-tracker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Goal Tracker is a technical framework designed to turn your AI agent into a proactive accountability partner. Most goal systems fail because they lack consistent monitoring; this skill solves that by leveraging Openclaw Skills to implement a structured weekly check-in protocol. It moves beyond static templates by using data-driven scoring and time-adjusted benchmarks to ensure your objectives stay on track throughout the quarter.
By integrating this skill, you transform your workspace into a high-performance environment where an agent actively notices when you are drifting. It uses a clear Markdown-based schema to track Objectives and Key Results (OKRs), providing honest feedback and reality checks that keep solopreneurs focused on what truly matters. Whether you are building software or scaling a business, these Openclaw Skills provide the necessary guardrails for long-term success.
To deploy this skill within your Openclaw Skills environment, follow these steps:
mkdir -p goals/
goals/GOALS.md using the standard OKR template.The Goal Tracker maintains a clean, human-readable data structure that allows Openclaw Skills to parse progress efficiently:
| Component | Format | Description |
|---|---|---|
GOALS.md |
Markdown | Primary dashboard containing current goals, status emojis, and weekly progress tables. |
Key Results |
List | Measurable targets (current vs. target) for each objective. |
Goal Score |
Percentage | Calculated as (KRs completed + KRs in progress * 0.5) / Total KRs. |
Retrospectives |
Markdown | Files like retro-Q1-2024.md that store lessons learned and outcome notes. |
Archive |
Directory | Historical records of previous quarters for long-term trend analysis. |
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