Past Solutions Matcher
Prerequisites
This skill needs the iGPT MCP at https://mcp.igpt.ai/.
If the MCP tools aren't available or return an auth error, tell the
user to install the iGPT plugin (/plugin marketplace add igptai/skills)
or add https://mcp.igpt.ai/ as a connector, then complete OAuth and say
"ready". Retry once after they confirm. Never invent tokens or OAuth URLs.
For deeper troubleshooting: https://raw.githubusercontent.com/igptai/skills/main/shared/mcp-guard.md
What This Skill Does
Takes a description of a prospect's current problem and searches email history
for past customers who had the same or a similar problem — what the solution
was, what the outcome was, and any customer language expressing results.
Workflow
-
Before calling any tool, collect these values from the user. Do not
invent values they did not give.
- [problem] — a clear 1-2 sentence description of the problem or
challenge the current prospect is facing. No default — must come
from the user. Ask a follow-up question if their first description
is too vague to search on.
- [time_range] — what window of email history to search. The user
may give this in any form ("last 2 years", "the last 24 months",
"May 2024 onward", "since I joined"). Default: the last 2 years.
Keep the user's natural phrasing for use in the ask input; convert
to ISO dates separately for the search call.
-
Call search with:
- query: solved success result outcome [problem]
- date_from: ISO start date derived from [time_range]
- date_to: ISO end date derived from [time_range] (or today if open-ended)
-
Call ask with:
- input: Search all email history from [time_range] for customers who faced a similar problem to this: [problem]. For each match identify: the customer company, their specific problem, the solution applied, the outcome or result mentioned in email, and any customer quotes expressing satisfaction or results.
- output_format:
{
"strict": true,
"schema": {
"type": "object",
"description": "Past solutions report matching a current prospect problem to historical customer wins",
"additionalProperties": false,
"properties": {
"prospect_problem": {
"type": "string",
"description": "The problem description provided by the salesperson for the current prospect"
},
"matches": {
"type": "array",
"description": "List of past customers whose problems closely match the prospect's current situation",
"items": {
"type": "object",
"description": "A single past customer match with solution and outcome details",
"additionalProperties": false,
"properties": {
"customer": {
"type": "string",
"description": "Name of the past customer company"
},
"their_problem": {
"type": "string",
"description": "Description of the problem this past customer faced"
},
"solution_applied": {
"type": "string",
"description": "What solution was implemented or proposed to solve their problem"
},
"outcome": {
"type": "string",
"description": "The result or outcome as mentioned in email threads"
},
"customer_quote": {
"type": "string",
"description": "A direct or paraphrased quote from the customer expressing satisfaction or results, empty string if none found"
},
"relevance": {
"type": "string",
"description": "How closely this past situation matches the current prospect's problem",
"enum": ["high", "medium", "low"]
}
},
"required": ["customer", "their_problem", "solution_applied", "outcome", "customer_quote", "relevance"]
}
},
"recommended_reference": {
"type": "string",
"description": "Name of the single best past customer to reference in the current sales conversation and why"
},
"summary": {
"type": "string",
"description": "One or two sentence summary of what was found and the strongest proof point available"
}
},
"required": ["prospect_problem", "matches", "recommended_reference", "summary"]
}
}
-
Present ordered by relevance. Lead with the recommended reference and
a one-line pitch for why it is the strongest match.
-
Ask: "Would you like me to draft a message referencing this customer story?"