Coordinate dedicated AI agents sequentially with @agent-name invocation syntax.
npx skills add https://github.com/zerobias-org/module --skill agent-invocation
Please help me install this Agent Skill. Skill: agent-invocation Source: https://github.com/zerobias-org/module/tree/main/.claude/skills/agent-invocation Command: npx skills add https://github.com/zerobias-org/module --skill agent-invocation
The Agent Invocation Skill defines how multiple AI agents are named, loaded, and coordinated to perform complex tasks without overlap, ensuring clear boundaries and predictable behavior.
Describe the objective and invoke the appropriate agent using the @agent-name syntax to start the task.
High-intent search queries and answers about installing and using this skill.
Multi-agent coordination works by assigning explicit boundaries and roles to each agent, preventing overlap. Agents load rules, check prerequisites, pass context, and execute sequentially to achieve a shared goal without conflicts.
Context passing and memory handoff between agents preserve continuity across sequential steps. Each agent documents decisions and passes context to the next agent using the invocation syntax, ensuring step-by-step collaboration.
The best way to trigger a specific AI agent is using the @agent-name invocation syntax paired with a clear task description. This action-oriented approach loads rules and checks prerequisites before execution begins.
Yes, defining explicit boundaries for each agent is required. Clear role assignments and boundaries prevent overlap and conflicts, ensuring each agent acts within its constrained scope during sequential execution.
Avoid sequential multi-agent workflows when tasks require parallel execution or lack clear dependency chains. This approach guarantees agents act in order, making it unsuitable for independent or highly concurrent operations.
QBall-IncStandardize sub-agent invocations with a 4-part prompt structure and F# pipeline notation.
0xUrsanomicsChain individual skills into sequential or conditional agent pipelines.
patricio0312revCoordinate autonomous AI agents through roles, handoffs, and shared memory.
zhuangbiaoweiOrchestrate role-based multi-agent systems for sequential and hierarchical task execution.
