toby-basal-ganglia-memoryHabit formation and procedural learning for AI agents. Develop preferences and shortcuts through repetition. Part of the AI Brain series.
Install via ClawdBot CLI:
clawdbot install tobeyrebecca/toby-basal-ganglia-memoryGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.skillbossai.com/v1/pilot`Audited Apr 22, 2026 · audit v1.0
Generated May 5, 2026
An AI assistant learns a professional's repeated tasks like scheduling, email sorting, and report generation, automatically suggesting or executing shortcuts over time. This reduces manual effort and increases productivity in office environments.
A support system tracks which agent or solution resolves common issues fastest, developing automatic preferences for routing and response templates. This improves efficiency and customer satisfaction in call centers.
An e-commerce platform learns individual user browsing and purchasing habits, proactively suggesting products or shortcuts that match their routine. This increases sales conversion and user engagement.
An AI tutor tracks a student's learning patterns and procedural mistakes, reinforcing effective study habits and automatically adjusting content delivery. This enhances learning outcomes in online education.
A home automation system learns the user's daily routines (e.g., morning coffee, leaving for work) and automates sequences of actions without explicit commands. This provides convenience and energy savings.
Offer the procedural learning skill as a monthly or yearly subscription service for businesses, with tiered pricing based on the number of agents or users. Revenue is recurring and scales with adoption.
Charge per API call or per action learned, allowing developers to integrate the skill on a pay-as-you-go basis. Suitable for platforms with variable usage patterns.
Offer basic habit tracking for free, and charge for advanced features like reward-based learning or multi-agent synchronization. Drives user acquisition and upsells.
💬 Integration Tip
Start with explicit user permission loops for habit tracking, and use the SKILLBOSS_API_KEY in environment variables. Test with simple repetitive tasks before scaling to complex workflows.
Scored Apr 22, 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
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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.