Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Auto-learns when and how to bring things back to your human's attention. Adapts timing and style to their preferences.
Auto-learns when and how to bring things back to your human's attention. Adapts timing and style to their preferences.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Remind = "Just a reminder that..." Things the human already knows but might forget Planned events, commitments, deadlines they set Bringing information back to mind at the right moment Remind β Alert (detecting new/urgent events) Remind β Notify (generic notifications) A reminder is always about something the human was already aware of.
This skill auto-evolves. Learn what to remind, when, and howβthrough observation. Core Loop: Detect β Notice remindable commitments (meetings, deadlines, promises) Evaluate β Check stored preferences for timing and style Remind β Bring it back to attention at the right moment Observe β Notice reactions ("too early", "I knew", "thanks, forgot") Confirm β After 2+ signals, propose adjustment Store β Update preferences below Check triggers.md for what qualifies as remindable. Check timing.md for lead times.
What β The commitment/event to recall When β Lead time before it matters How β Tone and detail level
category: preference (level) [notes] Examples: meetings: 30 min before (confirmed) deadlines: 1 day + morning-of (pattern) family events: 1 week before (confirmed) daily standups: skip (confirmed) [muscle memory]
They just mentioned it (obviously aware) It's something new they don't know yet (that's Alert) Generic status update (that's Notify) Low stakes + uncertain β skip, learn from reaction Empty sections = still learning. Observe and fill.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.