Route natural language prompts to relevant skills via semantic matching.
npx skills add https://github.com/samwelmunga/JengaAgent --skill route-samwelmunga
Please help me install this Agent Skill. Skill: route Source: https://github.com/samwelmunga/JengaAgent/tree/main/.agents/skills/route Command: npx skills add https://github.com/samwelmunga/JengaAgent --skill route-samwelmunga
This skill eliminates the confusion of choosing the right tool for a task by automatically analyzing your intent and routing it to the most appropriate agent or skill within the JengaAgent framework.
Use the route skill to analyze the current status of the authentication module and suggest the next logical task.
High-intent search queries and answers about installing and using this skill.
To route natural language prompts to the right agent, this skill performs semantic matching against registered skill metadata to find the best fit. It analyzes user intent and orchestrates the handoff to the most relevant specialized project skill.
Semantic dispatch for automated task routing is the process of matching natural language prompts against skill descriptions, keywords, and examples. This mechanism eliminates the confusion of manually choosing the right tool by automatically analyzing intent.
To enrich agent context with project board items, the routing skill automatically gathers relevant board status and documentation references. This provides a fully-loaded execution environment for specialized agents before they begin processing.
Yes, multi-agent workflow routing works without manual skill selection. You simply state your goal, and the router identifies the correct skill, pulls the necessary project board status, and prepares the environment automatically.
The best way to orchestrate structured multi-agent collaboration is to use a routing skill that matches intent to functional skills and enriches the environment with live project board context. This ensures agents receive the correct tasks and documentation.
memorysaverMatch user requirements to available Looplia skills and export a structured data-flow specification.
angrysky56Decompose high-level project goals into structured kanban tasks with worker assignment.
ma08Persist task status files and reconcile session metadata across machines.
ricableRoute AI agent tasks via vector-based semantic intent matching.
