feat: add LostFound Match Agent template

kits/lostfound-match-agent/README.md

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+# LostFound Match Agent
+
+## Overview
+
+LostFound Match Agent is an AI workflow that compares lost item reports with found item reports and helps administrators identify likely matches.
+
+It is designed for campuses, airports, metro stations, malls, hotels, and other public places where lost and found reports are often handled manually.
+
+## Problem
+
+Lost and found teams often receive incomplete, messy, or differently written item descriptions.
+
+For example, one user may report:
+
+> Black leather wallet lost near library with student ID.
+
+Another person may report:
+
+> Dark wallet found near reading room with college card inside.
+
+Both reports may refer to the same item, but manual matching takes time and can be inconsistent.
+
+## Solution
+
+This agent compares the lost item report and found item report using:
+
+- item type
+- color
+- brand or material
+- unique identifiers
+- location similarity
+- date/time proximity
+- semantic similarity
+- conflicting details
+
+It then returns a structured match decision with a score, reasoning, verification questions, and next action.
+
+## Input
+
+```json
+{
+  "lost_item_description": "Black leather wallet lost near library. It had my student ID card and some cash.",
+  "found_item_description": "Dark wallet found near reading room with a college ID card inside.",
+  "lost_location": "Library",
+  "found_location": "Reading room",
+  "lost_date": "2026-05-10",
+  "found_date": "2026-05-10"
+}
+```
+
+## Output
+
+```json
+{
+  "match_score": 85,
+  "decision": "Likely Match",
+  "reason": "Both reports describe a dark wallet found near similar academic locations and mention an ID card.",
+  "matching_signals": [
+    "Both reports mention a wallet",
+    "Both reports mention a dark or black color",
+    "Both reports mention an ID card",
+    "The locations are similar"
+  ],
+  "conflicting_signals": [
+    "The found report does not mention cash"
+  ],
+  "verification_questions": [
+    "What name is written on the ID card?",
+    "How much cash was inside?",
+    "Does the wallet have any brand or unique mark?"
+  ],
+  "next_action": "Send this case to an admin for manual verification before returning the item."
+}
+```
+
+## Use Cases
+
+- Campus lost and found desks
+- Airport lost property departments
+- Metro station lost and found counters
+- Mall and hotel security teams
+- Lost and found management platforms
+
+## Why this matters
+
+The agent does not replace human verification. It helps admins quickly prioritize likely matches and reduce manual effort.
+
+## Assumptions
+
+- The match score is a recommendation, not a final ownership decision.
+- Valuable or sensitive items should always be manually verified.
+- The quality of the result depends on the quality of the descriptions provided.

templates/lostfound-match-agent/README.md

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+# LostFound Match Agent
+
+## Overview
+
+LostFound Match Agent is an AI workflow that compares lost item reports with found item reports and helps administrators identify likely matches.
+
+It is designed for campuses, airports, metro stations, malls, hotels, and other public places where lost and found reports are often handled manually.
+
+## Problem
+
+Lost and found teams often receive incomplete, messy, or differently written item descriptions.
+
+For example, one user may report:
+
+> Black leather wallet lost near library with student ID.
+
+Another person may report:
+
+> Dark wallet found near reading room with college card inside.
+
+Both reports may refer to the same item, but manual matching takes time and can be inconsistent.
+
+## Solution
+
+This agent compares the lost item report and found item report using:
+
+- item type
+- color
+- brand or material
+- unique identifiers
+- location similarity
+- date/time proximity
+- semantic similarity
+- conflicting details
+
+It then returns a structured match decision with a score, reasoning, verification questions, and next action.
+
+## Input
+
+```json
+{
+  "lost_item_description": "Black leather wallet lost near library. It had my student ID card and some cash.",
+  "found_item_description": "Dark wallet found near reading room with a college ID card inside.",
+  "lost_location": "Library",
+  "found_location": "Reading room",
+  "lost_date": "2026-05-10",
+  "found_date": "2026-05-10"
+}
+```
+
+## Output
+
+```json
+{
+  "match_score": 85,
+  "decision": "Likely Match",
+  "reason": "Both reports describe a dark wallet found near similar academic locations and mention an ID card.",
+  "matching_signals": [
+    "Both reports mention a wallet",
+    "Both reports mention a dark or black color",
+    "Both reports mention an ID card",
+    "The locations are similar"
+  ],
+  "conflicting_signals": [
+    "The found report does not mention cash"
+  ],
+  "verification_questions": [
+    "What name is written on the ID card?",
+    "How much cash was inside?",
+    "Does the wallet have any brand or unique mark?"
+  ],
+  "next_action": "Send this case to an admin for manual verification before returning the item."
+}
+```
+
+## Use Cases
+
+- Campus lost and found desks
+- Airport lost property departments
+- Metro station lost and found counters
+- Mall and hotel security teams
+- Lost and found management platforms
+
+## Why this matters
+
+The agent does not replace human verification. It helps admins quickly prioritize likely matches and reduce manual effort.
+
+## Assumptions
+
+- The match score is a recommendation, not a final ownership decision.
+- Valuable or sensitive items should always be manually verified.
+- The quality of the result depends on the quality of the descriptions provided.

templates/lostfound-match-agent/config.json

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+{
+  "name": "LostFound Match Agent",
+  "slug": "lostfound-match-agent",
+  "description": "Compares lost item reports with found item reports and returns a structured match recommendation with score, reasoning, verification questions, and next action.",
+  "category": "workflow-automation",
+  "tags": [
+    "lost-and-found",
+    "matching",
+    "automation",
+    "json",
+    "admin"
+  ],
+  "author": {
+    "name": "Rewant Anand",
+    "github": "Rewant05"
+  },
+  "version": "1.0.0",
+  "type": "template"
+}

templates/lostfound-match-agent/inputs.json

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+{
+  "lost_item_description": {
+    "type": "string",
+    "required": true,
+    "description": "Description of the lost item reported by the user."
+  },
+  "found_item_description": {
+    "type": "string",
+    "required": true,
+    "description": "Description of the found item reported by another user or admin."
+  },
+  "lost_location": {
+    "type": "string",
+    "required": false,
+    "description": "Location where the item was lost."
+  },
+  "found_location": {
+    "type": "string",
+    "required": false,
+    "description": "Location where the item was found."
+  },
+  "lost_date": {
+    "type": "string",
+    "required": false,
+    "description": "Date when the item was lost."
+  },
+  "found_date": {
+    "type": "string",
+    "required": false,
+    "description": "Date when the item was found."
+  }
+}

templates/lostfound-match-agent/meta.json

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+{
+  "title": "LostFound Match Agent",
+  "description": "An AI template that compares lost item reports with found item reports and generates a structured match recommendation.",
+  "use_case": "Lost and found item matching for campuses, airports, metro stations, malls, hotels, and public institutions.",
+  "problem": "Lost and found teams often receive incomplete or differently written item descriptions, making manual matching slow and inconsistent.",
+  "solution": "The agent compares item descriptions, locations, dates, and unique identifiers to generate a match score, reasoning, verification questions, and next action.",
+  "input_example": {
+    "lost_item_description": "Black leather wallet lost near library. It had my student ID card and some cash.",
+    "found_item_description": "Dark wallet found near reading room with a college ID card inside.",
+    "lost_location": "Library",
+    "found_location": "Reading room",
+    "lost_date": "2026-05-10",
+    "found_date": "2026-05-10"
+  },
+  "output_example": {
+    "match_score": 85,
+    "decision": "Likely Match",
+    "reason": "Both reports describe a dark wallet found near similar academic locations and mention an ID card.",
+    "matching_signals": [
+      "Both reports mention a wallet",
+      "Both reports mention a dark or black color",
+      "Both reports mention an ID card",
+      "The locations are similar"
+    ],
+    "conflicting_signals": [
+      "The found report does not mention cash"
+    ],
+    "verification_questions": [
+      "What name is written on the ID card?",
+      "How much cash was inside?",
+      "Does the wallet have any brand or unique mark?"
+    ],
+    "next_action": "Send this case to an admin for manual verification before returning the item."
+  },
+  "author": {
+    "name": "Rewant Anand",
+    "github": "Rewant05"
+  }
+}