agent-memory-coordinator

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

Install with Tessl CLI

npx tessl i github:ruvnet/claude-flow --skill agent-memory-coordinator

What are skills?

1.53x

Review — 3%

Does it follow best practices?

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npx tessl skill review --optimize ./path/to/skill

Learn more

Evaluation — 95%

↑ 1.53x

Agent success when using this skill

Validation — 11 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

92%

38%

Memory Schema for a Multi-Agent Code Review Platform

Namespace and key naming conventions

Criteria

Without context

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%

Without context: $0.3473 · 2m · 14 turns · 20 in / 7,212 out tokens

With context: $0.4305 · 2m 27s · 15 turns · 427 in / 8,475 out tokens

100%

24%

Memory Architecture Specification for a Financial AI Platform

Caching strategy and security architecture

Criteria

Without context

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%

Without context: $0.2485 · 1m 45s · 11 turns · 13 in / 4,870 out tokens

With context: $0.4473 · 2m 12s · 22 turns · 30 in / 6,017 out tokens

94%

38%

Memory Coordination Plan for a Multi-Phase AI Development Pipeline

Task orchestration memory integration

Criteria

Without context

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%

Without context: $0.2135 · 1m 15s · 10 turns · 14 in / 4,227 out tokens

With context: $0.4852 · 2m 24s · 22 turns · 30 in / 7,020 out tokens

Evaluated: 3 days ago
Agent: Claude Code
Model: Unknown

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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