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Gh Create Issue

  • 2 installs
  • 21.2k repo stars
  • Updated August 5, 2026
  • elastic/kibana

gh-create-issue skill documents Create a new GitHub issue (feature request or bug report) by gathering an unstructured description from the user, classifying it, filling out the appropriate Kibana template, interviewing

About

gh-create-issue skill documents Create a new GitHub issue (feature request or bug report) by gathering an unstructured description from the user, classifying it, filling out the appropriate Kibana template, interviewing the user to improve any weak sections, and filing the issue via the GitHub CLI.. name: gh-create-issue description: Create a new GitHub issue (feature request or bug report) by gathering an unstructured description from the user, classifying it, filling out the appropriate Kibana template, interviewing the user to improve any weak sections, and filing the issue via the GitHub CLI.

  • Create a new GitHub issue (feature request or bug report) by gathering an unstructured description from the user, classi
  • Platform-specific setup patterns for gh-create-issue.
  • Evidence-backed steps from upstream SKILL.md.
  • When-to-use criteria for gh-create-issue versus alternatives.

Gh Create Issue by the numbers

  • 2 all-time installs (skills.sh)
  • Ranked #1,788 of 2,203 Security skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

gh-create-issue capabilities & compatibility

Capabilities
gh create issue quick start · gh create issue when to use guidance · gh create issue integration patterns
Works with
elasticsearch
Use cases
security audit
From the docs

What gh-create-issue says it does

disable-model-invocation: true
SKILL.md
Guide the user through creating a well-structured GitHub issue from scratch.
SKILL.md
npx skills add https://github.com/elastic/kibana --skill gh-create-issue

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Listed on Skillselion
Installs2
repo stars21.2k
Last updatedAugust 5, 2026
Repositoryelastic/kibana

How do I use gh-create-issue correctly?

Create a new GitHub issue (feature request or bug report) by gathering an unstructured description from the user, classifying it, filling out the appropriate Kibana template, interviewing the user to

Who is it for?

Teams implementing gh-create-issue workflows from the catalog.

Skip if: Skip when requirements clearly match a different specialized stack.

When should I use this skill?

User asks about gh-create-issue, create a new github issue (feature request or bug report) by gathering an unstructured des.

What you get

Working gh-create-issue setup with validated configuration and next steps.

Files

SKILL.mdMarkdownGitHub ↗

Create GitHub Issue

Guide the user through creating a well-structured GitHub issue from scratch.

Step 1 — Gather the unstructured description

Ask the user to describe their feature request or bug report in their own words — no structure required. Tell them to include as much or as little as they know. End your response and wait for the user to reply before proceeding.

Example prompt to the user:

Describe the feature you'd like or the bug you've found in your own words. Don't worry about structure — just tell me what you're thinking and I'll help shape it.

Step 2 — Classify the issue

Using the user's description, determine whether this is a bug report or a feature request:

  • Language like "broken", "crash", "error", "fails", "not working", "regression", "unexpected behavior", "should have worked" → bug report.
  • Language like "add support for", "allow", "should be able to", "would be nice", "request", "proposal", "improve", "I wish", "it would be helpful if" → feature request.

If classification is ambiguous, ask the user which type applies before continuing.

Step 3 — Read the appropriate template

Read the template to know which fields to populate:

  • Bug report: read .github/ISSUE_TEMPLATE/Bug_report.md
  • Feature request: read .github/ISSUE_TEMPLATE/Feature_request.yml

Step 4 — Draft the issue from the description

Using the user's description as source material, populate as many template fields as you can. Apply reasonable inference:

  • For feature requests: synthesize a clear "What feature do you want added?" statement (noting what's explicitly out of scope if apparent), derive a "Why?" from the use-case (including how users work around the gap today and who the target user is), draft initial Acceptance Criteria (happy path + edge cases) from the described behavior, infer a priority if clues are present, and note any blocking issues for the "Blocked By" field.
  • For bug reports: extract steps to reproduce, expected vs actual behavior, and any environment details mentioned.

Leave fields blank where the description provides no basis for inference. Do not ask questions yet — draft first.

Step 5 — Generate a title

Draft a concise, descriptive issue title (under 72 characters) that captures the core ask or bug. Prefix with the relevant area if apparent (e.g. [Discover], [Maps], [Alerting]).

Step 6 — Interview the user for weak or missing fields

Review your draft. Identify fields that are:

  • Empty, or
  • Vague / not independently verifiable (for Acceptance Criteria), or
  • Missing required information

For each such field, ask one question at a time, then end your response and wait for the user to reply before moving to the next field.

Guidelines:

  • For required fields (Describe the bug, Steps to reproduce, Expected behavior, What feature do you want added?, Why?): always ask if missing or weak.
  • For Acceptance Criteria: if the drafted criteria are vague (e.g. "should work correctly"), ask the user to make them concrete and testable.
  • For optional fields (screenshots, logs, browser console errors, additional context, Priority): ask once; accept "N/A" or "none" and move on.
  • If an answer is still vague after one follow-up, ask one more targeted clarifying question, then move on.
  • Once all fields are addressed, proceed to Step 7.

For feature requests, also probe for these common gaps (even if the field is not empty, ensure the draft addresses them):

  • Scope boundaries: Is it clear what's not included? If the feature could be interpreted broadly, ask what's explicitly out of scope.
  • Current workaround: How do users accomplish this today? If the "Why?" doesn't describe the workaround, ask.
  • Target user: Who would use this — what role or persona? If not stated, ask.
  • Dependencies: Are there issues, features, or infrastructure changes that must land first? If so, capture them in the "Blocked By" field.

Step 7 — Show the draft and confirm

Display the complete proposed issue (title + body) and ask the user to confirm or request changes. End your response and wait for explicit confirmation before filing.

Step 8 — Create the issue

After the user confirms, create the issue:

ISSUE_BODY=$(cat <<'EOF'
<formatted body here>
EOF
)
gh issue create --repo elastic/kibana --title "<TITLE>" --body "$ISSUE_BODY" --label "<bug|enhancement>"

Use label bug for bug reports and enhancement for feature requests.

Report the new issue URL to the user when done.

Related skills

FAQ

What does gh-create-issue do?

gh-create-issue skill documents Create a new GitHub issue (feature request or bug report) by gathering an unstructured description from the user, classifying it, filling out the appropriate Kibana template, interviewing the user to improve any weak sections, and filing the issue

When should I use gh-create-issue?

User asks about gh-create-issue, create a new github issue (feature request or bug report) by gathering an unstructured des.

Is this skill safe to install?

Review the Security Audits panel on this page before installing in production.

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