Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Habit formation and procedural learning for AI agents. Develop preferences and shortcuts through repetition. Part of the AI Brain series.
Habit formation and procedural learning for AI agents. Develop preferences and shortcuts through repetition. Part of the AI Brain series.
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.
Habit formation for AI agents. Part of the AI Brain series.
This skill is being developed. Star/watch for updates!
The basal ganglia is responsible for habit formation and procedural learning. This skill will give AI agents: Habit tracking — actions repeated become automatic preferences Procedural memory — "muscle memory" for common workflows Reward-based learning — reinforce patterns that work Preference development — "I always do X this way because it works"
PartFunctionStatushippocampusMemory formation, decay, reinforcement✅ Liveamygdala-memoryEmotional processing✅ Livebasal-ganglia-memoryHabit formation🚧 Developmentanterior-cingulate-memoryConflict detection🚧 Developmentinsula-memoryInternal state awareness🚧 Development
Based on neuroscience research on the basal ganglia's role in procedural learning and habit formation. Built with ❤️ by the OpenClaw community
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.