Email Reply Reader for Openclaw

An intelligent email parser that identifies, categorizes, and summarizes job application responses from your Gmail inbox.

xiaoxty
v0.1.0
Mar 17, 2026
0
848
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install email-reply-reader

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install email-reply-reader 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 Email Reply Reader?

The Email Reply Reader is a specialized tool designed to streamline the job hunting process by automatically analyzing recruiter communications. By leveraging Openclaw Skills and the gog CLI, this agent can scan your inbox for specific keywords related to hiring, such as interview invites, technical assessments, or feedback. It helps developers and job seekers maintain a clear overview of their application pipeline without the need for manual searching.

This skill provides significant value by differentiating between high-priority interview requests and automated rejection notices. Using the Openclaw Skills framework, it transforms a cluttered inbox into a structured list of actionable next steps. This ensures that no opportunity is missed due to inbox fatigue and allows users to respond to recruiters with professional, AI-generated drafts in seconds.

Email Reply Reader Use Cases

  • Tracking responses from multiple job applications across different companies and platforms.
  • Identifying urgent interview invitations that require immediate scheduling or confirmation.
  • Summarizing the status of all applications sent or received within the last 30 days.
  • Automatically flagging applications that haven't received a response for over a week for follow-up.
  • Quickly reading full recruiter threads to understand context without leaving the terminal or agent interface.

How Email Reply Reader Works

  1. The user authenticates their Gmail account using the gog tool to establish a secure connection.
  2. The skill executes search queries across both the inbox and sent folders to find job-related keywords like interview, role, or resume.
  3. Found emails are processed and classified into specific categories such as Interview Invite, Request for Info, or Rejection based on semantic signals.
  4. The agent generates a structured summary report that highlights the most urgent actions, such as pending interview slots.
  5. For positive responses, the skill provides pre-formatted email templates to help the user reply instantly.

Email Reply Reader Setup

To utilize this skill, you must have the gog utility installed and authenticated with your Gmail account. Openclaw Skills rely on this binary to fetch message data. Run the following command to set up your credentials:

gog auth add [email protected] --services gmail

Once authenticated, the AI agent can begin searching and parsing your recruiter emails using the pre-defined search parameters.

Email Reply Reader Data Schema & Taxonomy

The skill organizes recruitment data using a clear classification system and metadata taxonomy:

Category Semantic Signals Action Priority
Interview Invite schedule, call, availability, slot Immediate
Positive Interest impressed, shortlisted, next steps High (within 24h)
Request for Info portfolio, salary, notice period Medium
Rejection unfortunately, not moving forward Low (Log only)
Auto-reply received application, thank you None

Output metadata includes the company name, job role, sender contact information, and a summarized snippet of the most recent message.

Email Reply Reader Advanced Features

  • Context-aware classification that distinguishes between automated system notifications and personal recruiter outreach.
  • Integrated follow-up reminder logic that identifies stagnant applications older than 7 days.
  • Automated response drafting for multiple scenarios, including interview scheduling and rejection acknowledgments to keep doors open.
  • Multi-account support within the Openclaw Skills ecosystem for users managing multiple professional email addresses.
  • Cross-referencing between sent and received messages to provide a complete view of the application lifecycle.

SKILL.md


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METADATA

Requires
Bins gog
Github Stars: 0
forks: 0

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