triage

Triage a bug report end-to-end: reproduce the bug, diagnose the root cause, verify whether the behavior is intentional, and attempt a fix.

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Install skill "triage" with this command: npx skills add withastro/astro/withastro-astro-triage

Triage

Triage a bug report end-to-end: reproduce the bug, diagnose the root cause, verify whether the behavior is intentional, and attempt a fix.

Input

You need either:

  • issueTitle and issueBody provided in args (preferred — use these directly as the bug report), OR

  • A GitHub issue number or URL mentioned in the conversation (use gh issue view to fetch details)

If a triageDir is provided in args, use that as the working directory for the triage. Otherwise, default to triage/gh-<issue_number> (if you have an issue number) or triage/current .

Step 1: Reproduce

Read and follow reproduce.md. Use a subagent for this step to isolate context.

After completing reproduction, check the result:

  • If the issue was skipped (host-specific, unsupported version, etc.) — skip to Output.

  • If the issue was not reproducible — skip to Output.

  • If the issue was reproduced — continue to Step 2.

Step 2: Diagnose

Read and follow diagnose.md. Use a subagent for this step to isolate context.

After completing diagnosis, check your confidence:

  • If confidence is low — skip to Output.

  • If confidence is medium or high — continue to Step 3.

Step 3: Verify

Read and follow verify.md. Use a subagent for this step to isolate context.

After completing verification, check the verdict:

  • If the verdict is intended-behavior — skip to Output. The issue is not a bug; do not attempt a fix.

  • If the verdict is bug or unclear — continue to Step 4.

Step 4: Fix

Read and follow fix.md. Use a subagent for this step to isolate context.

Whether the fix succeeds or fails, continue to Output.

Output

After completing the triage (or exiting early), you may suggest generating a GitHub comment using comment.md if the user would find it useful.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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