agent-v3-memory-specialist
Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
49
25%
Does it follow best practices?
Impact
85%
1.77xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./.agents/skills/agent-v3-memory-specialist/SKILL.mdEvaluation results
87%
56%Adaptive Learning Pattern Store
SONA pattern storage and benchmarking
sonaMode field present
0%
100%
Valid sonaMode values
0%
100%
reward metadata field
100%
100%
trajectory metadata field
0%
100%
adaptation_time metadata field
0%
100%
Semantic retrieval query type
0%
37%
Retrieval filter by type
0%
50%
Retrieval limit: 5
100%
100%
Benchmark 1000 queries
0%
100%
Benchmark queriesPerSecond
100%
100%
Benchmark avgLatency
50%
70%
96%
34%Agent Memory Migration
Legacy backend migration to AgentDB
SQLite field extraction
100%
100%
SQLite embedding generation
100%
100%
Markdown originalFile metadata
0%
100%
Markdown migrationDate metadata
0%
100%
Markdown type metadata
0%
100%
Markdown embedding generation
100%
100%
AgentDB as target
0%
100%
Phased migration plan
100%
100%
Backward compatibility
100%
100%
MemoryEntry structure
100%
50%
Order by created_at
100%
100%
73%
20%Unified Memory Search Module
HNSW indexing and query routing
HNSW dimensions
0%
100%
HNSW efConstruction
100%
100%
HNSW M parameter
100%
100%
HNSW maxElements
0%
100%
Semantic query routing
100%
100%
Structured query routing
50%
60%
Dual store write
100%
70%
IMemoryBackend interface
0%
0%
MemoryEntry embedding field
80%
100%
AgentDBAdapter usage
0%
0%
- Repository
- ruvnet/claude-flow
- Commit
26c35b5
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
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