agent-memory-coordinator

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

1.53x

Quality

21%

Does it follow best practices?

Impact

95%

1.53x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./.agents/skills/agent-memory-coordinator/SKILL.md

Evaluation results

100%

24%

Memory Architecture Specification for a Financial AI Platform

Caching strategy and security architecture

Criteria

Baseline

With context

Encryption at rest

100%

Access control lists

87%

100%

Audit logging

100%

Hot data in fast storage

100%

Cold data compressed

20%

100%

Deduplication

25%

100%

Sharding by namespace

40%

100%

Smart indexing

100%

Garbage collection / cleanup

100%

Namespace-level organisation

62%

100%

Data retention / compliance

100%

TTL policy

100%

94%

38%

Memory Coordination Plan for a Multi-Phase AI Development Pipeline

Task orchestration memory integration

Criteria

Baseline

With context

Stores task decomposition / phase plans

60%

Execution state persistence

100%

Results shared between stages via memory

100%

Memory chains / linked entries

50%

100%

Dependency tracking

100%

coordination/ namespace

100%

Four-tier hierarchy used

20%

100%

Task-level ephemeral cleanup

100%

Metadata / purpose on entries

62%

75%

Dollar-sign key naming

100%

TTL for temporary data

25%

100%

92%

38%

Memory Schema for a Multi-Agent Code Review Platform

Namespace and key naming conventions

Criteria

Baseline

With context

Dollar-sign key separator

100%

project$feature$agent key pattern

100%

project/ namespace

100%

coordination/ namespace

50%

patterns/ namespace

50%

TTL differentiation

100%

Ephemeral task data TTL

100%

Metadata / purpose documentation

100%

Four-tier hierarchy

75%

100%

Cleanup / garbage collection

100%

Namespace organisation by project$feature$agent

30%

100%

Repository: ruvnet/ruflo
Path: .agents/skills/agent-memory-coordinator/SKILL.md
Commit: 26c35b5

Evaluated: 5 months ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Memory Schema for a Multi-Agent Code Review Platform Memory Architecture Specification for a Financial AI Platform Memory Coordination Plan for a Multi-Phase AI Development Pipeline

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