This skill guides the creation of high-quality GitHub issues that adhere to the
Works with
repository's standards and use the appropriate templates.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongithub-issue-creatorExecute the skills CLI command in your project's root directory to begin installation:
Fetches github-issue-creator from google-gemini/gemini-cli and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github-issue-creator. Access via /github-issue-creator in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill guides the creation of high-quality GitHub issues that adhere to the repository's standards and use the appropriate templates.
Follow these steps to create a GitHub issue:
Identify Issue Type: Determine if the request is a bug report, feature request, or other category.
Locate Template: Search for issue templates in
.github/ISSUE_TEMPLATE/.
bug_report.ymlfeature_request.ymlwebsite_issue.yml.md templates in the same
directory.Read Template: Read the content of the identified template file to understand the required fields.
Draft Content: Draft the issue title and body/fields.
id defined in
the template.🔒 maintainer only label unless the
user explicitly requests otherwise.Create Issue: Use the gh CLI to create the issue.
For Markdown Templates or Simple Body:
# 1. Write the drafted content to a temporary file
# 2. Create the issue using the --body-file flag
gh issue create --title "Succinct title" --body-file <temp_file_path> --label "🔒 maintainer only"
# 3. Remove the temporary file
rm <temp_file_path>
For YAML Templates (Forms):
While gh issue create supports --body-file, YAML forms usually expect
key-value pairs via flags if you want to bypass the interactive prompt.
However, the most reliable non-interactive way to ensure formatting is
preserved for long text fields is to use the --body or --body-file if the
form has been converted to a standard body, OR to use the --field flags
for YAML forms.
Note: For the gemini-cli repository which uses YAML forms, you can often
submit the content as a single body if a specific field-based submission is
not required by the automation.
Verify: Confirm the issue was created successfully and provide the link to the user.
--body-file to
prevent newline and special character issues.Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
jezweb/claude-skills
Solid pick for teams standardizing on skills: github-issue-creator is focused, and the summary matches what you get after install.
github-issue-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend github-issue-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
github-issue-creator reduced setup friction for our internal harness; good balance of opinion and flexibility.
github-issue-creator has been reliable in day-to-day use. Documentation quality is above average for community skills.
github-issue-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added github-issue-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend github-issue-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in github-issue-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: github-issue-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
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