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intercom-analysis

Skill

Analyze Intercom conversations to identify support patterns, investigate customer issues, and look up contacts and companies. Use when the user asks to "analyze conversations", "find support patterns", "search Intercom", "look up a customer", "investigate a customer issue", "check contact info", or

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Install

git clone https://github.com/intercom/claude-plugin-external.git ~/.claude/skills/intercom-analysis

What is intercom-analysis?

Analyze Intercom conversations to identify support patterns, investigate customer issues, and look up contacts and companies. Use when the user asks to "analyze conversations", "find support patterns", "search Intercom", "look up a customer", "investigate a customer issue", "check contact info", or asks questions about their Intercom data.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~85 tokens of context used while enabled, before you invoke anything

Documentation

README · ~4 min read

Intercom Analysis

Use the Intercom MCP server to analyze customer conversations, look up contacts and companies, identify support patterns, and investigate customer issues.

Refer to references/mcp-tools.md for detailed tool reference, query DSL syntax, search strategies, and field-level documentation for each MCP tool.

Pattern Analysis Workflow

When the user asks to analyze patterns or trends in their support data, follow this workflow:

  1. Define scope. Clarify what the user wants to analyze — a time period, topic, customer segment, or conversation state. Ask if unclear.

  2. Fetch a representative sample. Search for conversations matching the scope. Retrieve at least 10–20 conversations to establish meaningful patterns. Paginate if the first page is insufficient.

  3. Read conversation details. For each relevant conversation, fetch the full conversation to read the actual messages. Summaries from search results alone are often insufficient for pattern analysis.

  4. Identify recurring themes. Group conversations by:

    • Common topics or keywords

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