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d-o-hub

agent-coordination

by d-o-hub

A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.

3🍴 0📅 Jan 23, 2026

SKILL.md


name: agent-coordination description: Coordinate multiple specialized Skills and Task Agents through parallel, sequential, swarm, hybrid, or iterative execution strategies. Use when orchestrating multi-worker workflows, managing dependencies, or optimizing complex task execution with quality gates.

Agent Coordination

Coordinate multiple specialized Skills and Task Agents through strategic execution patterns.

Quick Reference

When to Use

  • Orchestrating multi-worker workflows
  • Managing dependencies between tasks
  • Optimizing complex task execution
  • Quality-critical work with validation

CRITICAL: Skills vs Task Agents

Skills (via Skill tool): Instruction sets that guide Claude

  • Examples: rust-code-quality, architecture-validation, plan-gap-analysis

Agents (via Task tool): Autonomous sub-processes that execute

  • Examples: code-reviewer, test-runner, debugger, loop-agent

See strategies.md for coordination patterns and skills-agents.md for when to use each.

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
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プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

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