learning-adaptation
Mechanisms for In-Context Reinforcement Learning, Meta-Learning, and Neuroplasticity.
npx skills add majiayu000/claude-skill-registry --skill brain-andreibesleaga-gabbe --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Learning & Adaptation Skill > "Neurons that fire together, wire together." (Hebbian Learning) ## 1. Synaptic Plasticity (Rewiring) This skill allows the system to "rewire" itself based on experience. - **Potentiation (Strengthening):** If a prompt/tool works well, save it to a "Best Practices" bank. - **Depression (Weakening):** If a tool fails often, add a warning or deprecate it. ## 2. Meta-Learning (Learning to Learn) The agent should not just learn *information*; it should learn *strategies*. ### Strategy Reflection Loop After a task is complete, perform a "Post-Mortem": 1. **Observation:** "I hallucinated a library name." 2. **Hypothesis:** "I didn't check the docs first." 3. **New Rule:** ("ALWAYS check docs for library imports.") 4. **Storage:** Save to `system_rules.md`. ## 3. Reinforcement Learning (RL) Integration - **Actor:** The Agent performing the task. - **Critic:** A separate module (or human) that scores the outcome (Reward). - **Policy Update:** Update the **Few-Shot Context**. - *Old:* Zero-shot prompt. - *New:* Prompt + 3 Successful Examples from `learning-adaptation` bank. ## 4. Episodic Consolidation (Dreaming) Biological brains consolidate short-term memori
- 1. Synaptic Plasticity (Rewiring)
- 2. Meta-Learning (Learning to Learn)
- Strategy Reflection Loop
- 3. Reinforcement Learning (RL) Integration
- 4. Episodic Consolidation (Dreaming)
- Implementation: The "Nightly Build"
- References
What does the learning-adaptation skill do?
Mechanisms for In-Context Reinforcement Learning, Meta-Learning, and Neuroplasticity.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill brain-andreibesleaga-gabbe --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.