Automate GitHub issue triage with a label-based state machine.
npx skills add https://github.com/jupes/agent-forge-harness --skill github-triage-jupes
Please help me install this Agent Skill. Skill: github-triage Source: https://github.com/jupes/agent-forge-harness/tree/main/.claude/skills/github-triage Command: npx skills add https://github.com/jupes/agent-forge-harness --skill github-triage-jupes
This Skill simplifies the triage process of GitHub issues by providing a label-based state machine, streamlining the workflow for reviewing and categorizing incoming issues.
gh commands for reads and writes.Use the github-triage skill to apply the 'needs-triage' label and a category to a new issue.
High-intent search queries and answers about installing and using this skill.
Automate GitHub issue triage by applying a label-based state machine to categorize incoming tickets into states like needs-triage, ready-for-agent, ready-for-human, or wontfix. This reduces manual review work and improves workflow consistency.
A label-based state machine uses predefined GitHub labels to automatically categorize and transition issues through triage states. It evaluates current labels to determine the next state, generating comments and updating labels based on defined rules.
Yes, the gh CLI is required to manage GitHub issues with this state machine. It relies on gh commands to interact directly with the GitHub API for reading issues, updating labels, and generating automated comments.
Categorize new GitHub issues by applying predefined labels that trigger the state machine to evaluate rules and assign states like ready-for-human or wontfix. This automated labeling process streamlines the review workflow.
Yes, you can automatically generate comments on GitHub issues during triage. The state machine updates issue labels and posts comments based on the specific categorization rules defined for each triage state.
Using GitHub labels for issue triage state management requires strict adherence to predefined label schemes. The state machine logic depends entirely on label consistency, so misapplied or custom labels outside the schema may disrupt the automated workflow.
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