A specialized tool for listing, finding, and searching Intercom customer conversations via a structured JSON interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install intercom-conversations
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install intercom-conversations using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Intercom Conversations Read?
The Intercom Conversations Read skill is a robust data retrieval module designed for developers and AI agents operating within the Openclaw Skills ecosystem. It provides a standardized way to interact with the Intercom API, allowing users to extract conversation histories, search through support tickets, and fetch specific message details.
By using this skill, teams can bridge the gap between their customer support platform and their automated workflows. Whether you are building an analytics dashboard or providing context to an AI agent, this skill ensures that Intercom data is accessible and well-structured for immediate use.
Intercom Conversations Read Use Cases
- Automating the collection of support conversation logs for weekly sentiment analysis.
- Searching for specific customer issues across thousands of tickets using complex query operators.
- Fetching full conversation transcripts by ID to provide context for AI-driven response drafting.
- Syncing support interaction data with external reporting tools using Openclaw Skills.
How Intercom Conversations Read Works
- The user configures the environment with a valid Intercom Access Token.
- The skill accepts a JSON input specifying the desired action: list, find, or search.
- It authenticates with the Intercom API and executes the requested query with provided parameters like pagination cursors or filters.
- The raw API response is parsed into a clean JSON format, including a success flag and the requested conversation data.
- The data is returned to the agent or application, ready for processing or display.
Intercom Conversations Read Setup
To get started with this skill, you must provide your Intercom credentials and install the necessary dependencies.
Set your environment variable:
export INTERCOM_ACCESS_TOKEN='your_token_here'
Install the package:
npm install
Intercom Conversations Read Data Schema & Taxonomy
The skill returns structured JSON objects based on the requested action. Key data structures include:
| Action | Primary Output | Metadata |
|---|---|---|
| conversations.list | conversations (Array) |
next_starting_after (Cursor) |
| conversations.find | conversation (Object) |
ok: true, action |
| conversations.search | conversations (Array) |
ok: true, action |
All responses include an ok boolean to indicate success and echo the original action for tracking.
Intercom Conversations Read Advanced Features
- Support for cursor-based pagination allowing the retrieval of massive conversation datasets.
- Complex search filtering using logical operators like AND/OR for precise data extraction.
- Plaintext display options to simplify message content for LLM consumption within Openclaw Skills.
- Comprehensive error handling that suggests supported actions in the event of an invalid request.
SKILL.md
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