remindAuto-learns when and how to bring things back to your human's attention. Adapts timing and style to their preferences.
Install via ClawdBot CLI:
clawdbot install ivangdavila/remindGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
Reminds team members of upcoming deadlines, meetings, and deliverables based on their historical preferences. For example, it learns that a developer prefers a reminder 1 day before a sprint review, while a manager wants a 30-minute heads-up for client calls.
Reminds patients of upcoming appointments, medication refills, or follow-up tests, adapting timing to individual habits. It could learn that a patient forgets morning appointments unless reminded the night before, improving adherence and reducing no-shows.
Reminds students of assignment due dates, exam schedules, or registration deadlines, tailoring alerts to their study patterns. For instance, it might skip reminders for daily classes but emphasize major project milestones a week in advance.
Reminds users of bill payments, subscription renewals, or savings goals, adjusting based on past forgetfulness. It could learn to send detailed reminders for high-stakes payments like mortgages while skipping low-priority items.
Offer the Remind skill as part of a productivity platform with tiered pricing. Basic users get limited categories, while premium plans include advanced auto-learning for multiple industries like healthcare or education, billed monthly.
Sell customized versions to businesses for internal use, such as in project management tools or CRM systems. Includes integration support and data analytics on reminder effectiveness, with one-time or annual fees.
Provide a free version with basic reminder functionality for personal use, then upsell to paid tiers for advanced features like cross-platform sync, priority support, and industry-specific templates. Monetize through in-app purchases.
💬 Integration Tip
Integrate with calendar apps and task managers via APIs to detect remindable events, and use simple feedback loops (e.g., thumbs up/down) to observe user reactions for auto-adaptation.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...