.codex-plugin/plugin.json

{
  "author": {
    "name": "Adaptive Task Routing contributors"
  },
  "description": "Recommend what to do next at task boundaries: keep, hand off, or change AI settings when worthwhile.",
  "interface": {
    "capabilities": [],
    "category": "Productivity",
    "composerIcon": "./.codex-plugin/assets/composer-icon.png",
    "defaultPrompt": [
      "Use adaptive task routing before the next substantial phase."
    ],
    "developerName": "\u54f2\u5100 \u6731",
    "displayName": "Adaptive Task Routing",
    "logo": "./.codex-plugin/assets/logo.png",
    "longDescription": "Adaptive Task Routing assesses conversation, model and reasoning resources at meaningful task boundaries. It shows the action to take now before a concise reason, distinguishing task-fit settings from whether a switch is worthwhile. Keeping a suitable setup and retaining provisionally under uncertainty are separate outcomes. Default ask confirms proposed changes or material blockers; retention and nonblocking defer continue only already authorized work. Plan-only requests never authorize implementation. Auto applies only justified, authorized, callable and verifiable changes. Compact uses a plain heading and one conversation sentence. Verified keep shows only the observed current AI; detailed adds task-fit alternatives, minimum settings and upgrade rationale. Ordinary changes ask only about the target setting. Actual savings and reliability improvements require evidence.",
    "shortDescription": "Choose when to keep or switch",
    "supportURL": "https://github.com/zyzdev/adaptive-task-routing/issues",
    "websiteURL": "https://github.com/zyzdev/adaptive-task-routing"
  },
  "keywords": [
    "agent-skills",
    "context-routing",
    "model-routing",
    "reasoning-effort",
    "agentic-workflows"
  ],
  "license": "MIT",
  "name": "adaptive-task-routing",
  "skills": "./skills",
  "version": "0.5.0"
}