About

A2A agent card imported from kshubham090/lpi-roi-scoper (.well-known/agent.json). Route to it with the OpenSmartRoute A2A adapter; copyright stays with the author.

Digital Twin ROI Scoper

Name: Digital Twin ROI Scoper
Author: kshubham090

Given an industry, a specific use case, and resource constraints, this agent queries three LPI tools (get_insights, get_case_studies, query_knowledge) to produce a realistic implementation scope report. Outputs: realistic scope, expected outcomes from similar real-world cases, which SMILE phases to prioritize, what to defer given constraints, and first actions. All claims cite their source tool. Runs fully locally via Ollama — no cloud API required.

Skills

ROI Scope Generator - Accepts industry (string), use_case (string), and constraints (string). Calls get_insights with the use case + industry scenario, get_case_studies filtered by industry, and query_knowledge for technical implementation context. Synthesizes a structured 5-section report via local LLM with full source provenance.

Capabilities

none declared

Endpoint: https://github.com/kshubham090/lpi-roi-scoper

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/kshubham090-lpi-roi-scoper-digital-twin-roi-scoper/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

kshubham090-lpi-roi-scoper-digital-twin-roi-scoper.ocm.jsonjson

{
  "ocm": "1",
  "id": "kshubham090-lpi-roi-scoper-digital-twin-roi-scoper",
  "kind": "agent",
  "name": "Digital Twin ROI Scoper",
  "description": "Given an industry, a specific use case, and resource constraints, this agent queries three LPI tools (get_insights, get_case_studies, query_knowledge) to produce a realistic implementation scope report. Outputs: realistic scope, expected outcomes from similar real-world cases, which SMILE phases to prioritize, what to defer given constraints, and first actions. All claims cite their source tool. Runs fully locally via Ollama — no cloud API required.",
  "publisher": "kshubham090",
  "version": "0.1.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "a2a",
      "agent-card",
      "digital-twin",
      "smile",
      "scoping",
      "roi",
      "constraints",
      "planning",
      "github-a2a"
    ],
    "languages": [
      "en"
    ],
    "supports_tools": true
  },
  "quality_prior": 0.6,
  "examples": [
    "Given an industry, a specific use case, and resource constraints, this agent queries three LPI tools (get_insights, get_case_studies, query_knowledge) to produce a realistic implementation scope report. Outputs: realistic scope, expected outcomes from similar real-world cases, which SMILE phases to prioritize, what to defer given constraints, and first actions. All claims cite their source tool. Runs fully locally via Ollama — no cloud API required."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-a2a",
      "repository": "https://github.com/kshubham090/lpi-roi-scoper",
      "path": ".well-known/agent.json",
      "ref": "9f13e889b15e6deff38a1a9a073a691e4db4e92e",
      "url": "https://github.com/kshubham090/lpi-roi-scoper/blob/9f13e889b15e6deff38a1a9a073a691e4db4e92e/.well-known/agent.json",
      "key": "kshubham090/lpi-roi-scoper/.well-known/agent.json"
    }
  },
  "endpoints": [
    {
      "protocol": "a2a",
      "url": "https://github.com/kshubham090/lpi-roi-scoper"
    }
  ]
}

Fetch it by URL: GET /api/v1/registry/kshubham090-lpi-roi-scoper-digital-twin-roi-scoper/manifest?version=0.1.0

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