Loading...
Loading...
Found 13 Skills
Implement ReasoningBank adaptive learning with AgentDBs 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
Query AgentDB with semantic routing, hierarchical recall, causal graphs, and context synthesis
Build or rebuild the ADR index and dependency graph in AgentDB
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search
Create a new Architecture Decision Record with sequential numbering and AgentDB registration
Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
Use learned patterns and current state to predict the optimal next action
Extract entities and relations from source files to build a knowledge graph
Drive an authentication flow once, sanitize cookies through AIDefence, and vault a reusable cookie handle in browser-cookies for future sessions