agent-swarm-memory-manager
Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager
51
28%
Does it follow best practices?
Impact
90%
2.25xAverage score across 3 eval scenarios
Passed
No findings from the security scan
Fix and improve this skill with Tessl
tessl review fix ./.agents/skills/agent-swarm-memory-manager/SKILL.mdEvaluation results
75%
10%Agent Memory Cache Layer
Multi-level cache and atomic write operations
L1/L2/L3 cache tiers
100%
100%
LRU eviction
100%
100%
Write-through
100%
100%
Predictive prefetching
0%
0%
Batch read shared cache key
0%
100%
Atomic write conflict check
100%
100%
Versioned write payload
50%
100%
No memory leaks
100%
100%
Write-ahead logging
0%
0%
Sharding or replication
50%
0%
97%
63%Distributed Memory Synchronization and Conflict Resolution
Sync protocol and conflict resolution
Sync manifest key
0%
100%
Sync manifest namespace
0%
100%
Sync manifest fields
0%
100%
Broadcast key
0%
100%
Broadcast payload fields
0%
100%
CRDT approach
70%
100%
Vector clocks
100%
100%
Last-write-wins with versioning
90%
100%
No skipped conflict resolution
80%
100%
Sync failure handling
0%
40%
100%
78%Swarm Node Startup Module
Memory manager initialization and status reporting
Uses mcp tool
100%
100%
Status key name
0%
100%
Coordination namespace
50%
100%
Status payload fields
0%
100%
Memory index key name
0%
100%
Memory index payload fields
0%
100%
Metrics key name
0%
100%
Metrics payload fields
13%
100%
Periodic write mechanism
100%
100%
- Repository
- ruvnet/claude-flow
- Commit
26c35b5
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.