An intelligent focus companion that monitors desktop activity to maintain a real-time task stack and remind you of forgotten work after interruptions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install intent-guardian
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 intent-guardian using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Intent Guardian is a specialized focus assistant designed to mitigate the cognitive cost of context switching. By continuously sensing active window titles and application usage, it builds a dynamic model of your current work intent. As a key component in the ecosystem of Openclaw Skills, it helps knowledge workers recover the approximately 23 minutes typically lost after an interruption by maintaining a persistent task stack.
The skill goes beyond simple activity logging by using LLMs to infer the purpose of your actions. It detects when you have been derailed—for example, by a Slack message or a quick browser search— and haven't returned to your primary objective. By storing state in a structured JSON stack, it can offer context-aware nudges that facilitate a seamless return to deep work.
Install the skill via the command line:
npx playbooks add skill openclaw/skills --skill intent-guardian
To enable continuous monitoring, add the following logic to your HEARTBEAT.md file:
## Intent Guardian Check
1. Read activity from memory/skills/intent-guardian/activity_log.jsonl
2. Update task_stack.json with inferred intents
3. Trigger reminders if suspended tasks exceed threshold
For enhanced accuracy, you can optionally install ActivityWatch and set activitywatch_enabled: true in the configuration.
The skill organizes its intelligence across several local files to ensure privacy and persistence:
| File | Purpose |
|---|---|
task_stack.json |
A structured list of active and suspended tasks with start times and completion estimates. |
activity_log.jsonl |
A raw stream of window titles and application names captured by the sensors. |
focus_profile.json |
A learned profile containing peak focus hours, average duration, and interruption source analytics. |
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