OpenClaw Agent Hub

OpenClaw for GitHub Issue Management

A practical OpenClaw workflow for GitHub issue triage, review, and follow-up.
Mar 12, 2026

OpenClaw for GitHub Issue Management

This workflow shows how OpenClaw can fit into GitHub issue operations to reduce manual triage effort and keep issue queues organized.

What this workflow does

Automatically monitors a GitHub repository for new issues, summarizes them, identifies missing context, and delivers a digest to a channel where maintainers can act on it.

What you need

Before building this workflow:

Workflow structure

Step 1: detect new issues

On a schedule (e.g., every morning), query the repository for issues created since the last check.

Step 2: summarize each issue

For each new issue, the assistant:

  • reads the title and body
  • extracts the core problem or request
  • identifies what information is missing (reproduction steps, version, environment)
  • assigns a rough priority (critical / normal / low)

Step 3: deliver the digest

Send a formatted summary to the configured channel:

  • issue title and link
  • one-line summary
  • missing context flags
  • suggested priority

Step 4: draft responses (optional)

For issues missing context, the assistant can draft a clarifying comment that maintainers can review and post.

Do not enable auto-posting on day one. Keep the human in the loop.

Step 5: track unresolved items

Keep a running list of issues that have not been addressed, and surface them in the next digest if they remain open.

Customization options

Filter by label

Only triage issues with specific labels, or ignore issues labeled "wontfix" or "duplicate".

Multiple repos

Monitor multiple repositories and produce a combined digest. Keep the list short (2-3 repos) to avoid noise.

Assignee awareness

Include current assignee information in the digest so maintainers know who is responsible.

Escalation rules

Flag issues that have been open for more than a threshold (e.g., 7 days) without a response.

Why this is a strong workflow

GitHub issue work is repetitive, text-heavy, and often delayed by missing context. That makes it a strong match for assistant-style automation.

The assistant does not replace the maintainer. It reduces the time from "issue opened" to "issue understood and triaged."