when-optimizing-agent-learning-use-reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
npx skills add majiayu000/claude-skill-registry --skill when-optimizing-agent-learning-use-reasoningbank-intelligence-dn --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.
# ReasoningBank Intelligence - Adaptive Agent Learning ## Overview Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing decision-making, or implementing meta-cognitive systems. ## When to Use - Agent performance needs improvement - Repetitive tasks require optimization - Need pattern recognition from experience - Strategy refinement through learning - Building self-improving systems - Meta-cognitive capabilities needed ## Theoretical Foundation ### ReasoningBank Architecture 1. **Trajectory Tracking**: Record decision paths and outcomes 2. **Verdict Judgment**: Evaluate success/failure of strategies 3. **Memory Distillation**: Extract patterns from experience 4. **Pattern Recognition**: Identify successful approaches 5. **Strategy Optimization**: Apply learned patterns to new situations ### AgentDB Integration (Optional) - 150x faster vector operations - HNSW indexing for similarity search - Quantization for memory efficiency - Batch operations for performance ## Phase 1: Initialize Learning System (10 min) ### Objective Set up ReasoningBank with trajectory track
- Overview
- When to Use
- Theoretical Foundation
- ReasoningBank Architecture
- AgentDB Integration (Optional)
- Phase 1: Initialize Learning System (10 min)
- Objective
- Agent: ML-Developer
- Validation Criteria
- Hooks Integration
- Phase 2: Capture Patterns (10 min)
- Agent: SAFLA-Neural
- Phase 3: Optimize Strategies (10 min)
- Agent: Performance-Analyzer
npx claude-flow@alpha hooks pre-task \ npx claude-flow@alpha hooks post-task \
What does the when-optimizing-agent-learning-use-reasoningbank-intelligence skill do?
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill when-optimizing-agent-learning-use-reasoningbank-intelligence-dn --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.