一键在 Manus 中运行任何 Skill

heady-agent-orchestration

Use when the user wants a latent OS to decompose work into specialized agents, define temporary workers, create a planner-executor-validator structure, or coordinate agent handoffs inside a dynamic liquid architecture.

在 Manus 中运行

概览

安装命令

npx skills add https://github.com/HeadyAI/heady-context --skill heady-agent-orchestration

复制此命令并粘贴到 Claude Code 中以安装该技能

来源

HeadyAI/heady-context

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更新时间2026年3月24日 09:15

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SKILL.md

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name	heady-agent-orchestration
description	Use when the user wants a latent OS to decompose work into specialized agents, define temporary workers, create a planner-executor-validator structure, or coordinate agent handoffs inside a dynamic liquid architecture.
metadata	{"author":"HeadySystems Inc.","version":"3.2.0","updated":"2026-03-10"}

Heady Agent Orchestration

When to Use This Skill

Multi-agent system design
Runtime worker creation (HeadyBees / BeeFactory)
Task decomposition into specialist agents
Planner → Executor → Validator roles
Swarm coordination or handoff design
Latent OS operating structure

Instructions

Rewrite the user request as a parent objective
Split work into specialized agent tracks (see docs/agents.md)
For each agent define: role, mission, inputs, outputs, dependencies, success test
Use control structure: planning → execution → verification → synthesis
Mark agents as persistent vs ephemeral (HeadyBees)
Define handoff contracts (JSON schema for outputs)
Add resilience: fallback owner, retry limit (φ backoff), escalation path, circuit breaker signals
For liquid architecture: define spawn/retire/shift triggers
End with: Agent Map, Handoff Rules, Runtime Orchestration Policy

Integration Points

src/agents/ — Agent implementations
src/agents/bee-factory.js — Ephemeral worker factory
src/core/liquid-architecture.js — Dynamic allocation
src/core/soul-governance.js — HeadySoul alignment checks
src/core/circuit-breaker.js — Resilience with φ backoff

Provenance

Based on HeadyMe bee-factory and HeadyBees agent decomposition model. Repository: https://github.com/HeadyMe

同仓库更多 Skills

同仓库

heady-intelligence

HeadyAI/heady-context

Deep analysis, pattern detection, and risk assessment using Heady™ AI Intelligence services. Use this skill when the user asks to analyze code, scan a project, detect patterns, assess risks, or perform deep reasoning. Triggers on: 'analyze this', 'scan my project', 'find patterns', 'risk assessment', 'deep scan', 'what's wrong with this code', 'review architecture', 'security audit', 'vulnerability scan', 'code quality'. Always use this skill for any analytical or investigative task — it connects to heady_deep_scan, heady_analyze, heady_risks, heady_patterns, and heady_refactor MCP tools.

2026-03-240

来源

HeadyAI

HeadyAI/heady-context

打开 GitHub 仓库查看创作者相关仓库

安装命令

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在 Manus 中运行

适用职业SOC

软件开发工程师计算机与数学类职业15-1252L4

name	heady-agent-orchestration
description	Use when the user wants a latent OS to decompose work into specialized agents, define temporary workers, create a planner-executor-validator structure, or coordinate agent handoffs inside a dynamic liquid architecture.
metadata	{"author":"HeadySystems Inc.","version":"3.2.0","updated":"2026-03-10"}

Heady Agent Orchestration

When to Use This Skill

Multi-agent system design
Runtime worker creation (HeadyBees / BeeFactory)
Task decomposition into specialist agents
Planner → Executor → Validator roles
Swarm coordination or handoff design
Latent OS operating structure

Instructions

Rewrite the user request as a parent objective
Split work into specialized agent tracks (see docs/agents.md)
For each agent define: role, mission, inputs, outputs, dependencies, success test
Use control structure: planning → execution → verification → synthesis
Mark agents as persistent vs ephemeral (HeadyBees)
Define handoff contracts (JSON schema for outputs)
Add resilience: fallback owner, retry limit (φ backoff), escalation path, circuit breaker signals
For liquid architecture: define spawn/retire/shift triggers
End with: Agent Map, Handoff Rules, Runtime Orchestration Policy

Integration Points

src/agents/ — Agent implementations
src/agents/bee-factory.js — Ephemeral worker factory
src/core/liquid-architecture.js — Dynamic allocation
src/core/soul-governance.js — HeadySoul alignment checks
src/core/circuit-breaker.js — Resilience with φ backoff

Provenance

Based on HeadyMe bee-factory and HeadyBees agent decomposition model. Repository: https://github.com/HeadyMe