github-issues▌
github/awesome-copilot · updated Apr 8, 2026
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Create, update, and manage GitHub issues with full workflow support including types, labels, assignees, and dependencies.
- ›Supports issue creation with type categorization (Bug, Feature, Task, etc.), labels, assignees, and milestones via gh api REST calls
- ›Read operations via MCP tools for fetching issue details, comments, labels, and cross-repository search
- ›Handles issue updates (title, body, state, labels, assignees) and includes templates for bug reports, feature requests, and tasks
GitHub Issues
Manage GitHub issues using the @modelcontextprotocol/server-github MCP server.
Available Tools
MCP Tools (read operations)
| Tool | Purpose |
|---|---|
mcp__github__issue_read |
Read issue details, sub-issues, comments, labels (methods: get, get_comments, get_sub_issues, get_labels) |
mcp__github__list_issues |
List and filter repository issues by state, labels, date |
mcp__github__search_issues |
Search issues across repos using GitHub search syntax |
mcp__github__projects_list |
List projects, project fields, project items, status updates |
mcp__github__projects_get |
Get details of a project, field, item, or status update |
mcp__github__projects_write |
Add/update/delete project items, create status updates |
CLI / REST API (write operations)
The MCP server does not currently support creating, updating, or commenting on issues. Use gh api for these operations.
| Operation | Command |
|---|---|
| Create issue | gh api repos/{owner}/{repo}/issues -X POST -f title=... -f body=... |
| Update issue | gh api repos/{owner}/{repo}/issues/{number} -X PATCH -f title=... -f state=... |
| Add comment | gh api repos/{owner}/{repo}/issues/{number}/comments -X POST -f body=... |
| Close issue | gh api repos/{owner}/{repo}/issues/{number} -X PATCH -f state=closed |
| Set issue type | Include -f type=Bug in the create call (REST API only, not supported by gh issue create CLI) |
Note: gh issue create works for basic issue creation but does not support the --type flag. Use gh api when you need to set issue types.
Workflow
- Determine action: Create, update, or query?
- Gather context: Get repo info, existing labels, milestones if needed
- Structure content: Use appropriate template from references/templates.md
- Execute: Use MCP tools for reads,
gh apifor writes - Confirm: Report the issue URL to user
Creating Issues
Use gh api to create issues. This supports all parameters including issue types.
gh api repos/{owner}/{repo}/issues \
-X POST \
-f title="Issue title" \
-f body="Issue body in markdown" \
-f type="Bug" \
--jq '{number, html_url}'
Optional Parameters
Add any of these flags to the gh api call:
-f type="Bug" # Issue type (Bug, Feature, Task, Epic, etc.)
-f labels[]="bug" # Labels (repeat for multiple)
-f assignees[]="username" # Assignees (repeat for multiple)
-f milestone=1 # Milestone number
Issue types are organization-level metadata. To discover available types, use:
gh api graphql -f query='{ organization(login: "ORG") { issueTypes(first: 10) { nodes { name } } } }' --jq '.data.organization.issueTypes.nodes[].name'
Prefer issue types over labels for categorization. When issue types are available (e.g., Bug, Feature, Task), use the type parameter instead of applying equivalent labels like bug or enhancement. Issue types are the canonical way to categorize issues on GitHub. Only fall back to labels when the org has no issue types configured.
Title Guidelines
- Be specific and actionable
- Keep under 72 characters
- When issue types are set, don't add redundant prefixes like
[Bug] - Examples:
Login fails with SSO enabled(with type=Bug)Add dark mode support(with type=Feature)Add unit tests for auth module(with type=Task)
Body Structure
Always use the templates in references/templates.md. Choose based on issue type:
| User Request | Template |
|---|---|
| Bug, error, broken, not working | Bug Report |
| Feature, enhancement, add, new | Feature Request |
| Task, chore, refactor, update | Task |
Updating Issues
Use gh api with PATCH:
gh api repos/{owner}/{repo}/issues/{number} \
-X PATCH \
-f state=closed \
-f title="Updated title" \
--jq '{number, html_url}'
Only include fields you want to change. Available fields: title, body, state (open/closed), labels, assignees, milestone.
Examples
Example 1: Bug Report
User: "Create a bug issue - the login page crashes when using SSO"
Action:
gh api repos/github/awesome-copilot/issues \
-X POST \
-f title="Login page crashes when using SSO" \
-f type="Bug" \
-f body="## Description
The login page crashes when users attempt to authenticate using SSO.
## Steps to Reproduce
1. Navigate to login page
2. Click 'Sign in with SSO'
3. Page crashes
## Expected Behavior
SSO authentication should complete and redirect to dashboard.
## Actual Behavior
Page becomes unresponsive and displays error." \
--jq '{number, html_url}'
Example 2: Feature Request
User: "Create a feature request for dark mode with high priority"
Action:
gh api repos/github/awesome-copilot/issues \
-X POST \
-f title="Add dark mode support" \
-f type="Feature" \
-f labels[]="high-priority" \
-f body="## Summary
Add dark mode theme option for improved user experience and accessibility.
## Motivation
- Reduces eye strain in low-light environments
- Increasingly expected by users
## Proposed Solution
Implement theme toggle with system preference detection.
## Acceptance Criteria
- [ ] Toggle switch in settings
- [ ] Persists user preference
- [ ] Respects system preference by default" \
--jq '{number, html_url}'
Common Labels
Use these standard labels when applicable:
| Label | Use For |
|---|---|
bug |
Something isn't working |
enhancement |
New feature or improvement |
documentation |
Documentation updates |
good first issue |
Good for newcomers |
help wanted |
Extra attention needed |
question |
Further information requested |
wontfix |
Will not be addressed |
duplicate |
Already exists |
high-priority |
Urgent issues |
Tips
- Always confirm the repository context before creating issues
- Ask for missing critical information rather than guessing
- Link related issues when known:
Related to #123 - For updates, fetch current issue first to preserve unchanged fields
Extended Capabilities
The following features require REST or GraphQL APIs beyond the basic MCP tools. Each is documented in its own reference file so the agent only loads the knowledge it needs.
| Capability | When to use | Reference |
|---|---|---|
| Advanced search | Complex queries with boolean logic, date ranges, cross-repo search, issue field filters (field.name:value) |
references/search.md |
| Sub-issues & parent issues | Breaking work into hierarchical tasks | references/sub-issues.md |
| Issue dependencies | Tracking blocked-by / blocking relationships | references/dependencies.md |
| Issue types (advanced) | GraphQL operations beyond MCP list_issue_types / type param |
references/issue-types.md |
| Projects V2 | Project boards, progress reports, field management | references/projects.md |
| Issue fields | Custom metadata: dates, priority, text, numbers (private preview) | references/issue-fields.md |
| Images in issues | Embedding images in issue bodies and comments via CLI | references/images.md |
How to use github-issues on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add github-issues
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches github-issues from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate github-issues. Access the skill through slash commands (e.g., /github-issues) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★47 reviews- ★★★★★Sakura Wang· Dec 28, 2024
github-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ava Smith· Dec 24, 2024
github-issues reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★William Martin· Dec 4, 2024
We added github-issues from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ava Johnson· Nov 23, 2024
Solid pick for teams standardizing on skills: github-issues is focused, and the summary matches what you get after install.
- ★★★★★William Harris· Nov 15, 2024
I recommend github-issues for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chinedu Gill· Nov 7, 2024
Keeps context tight: github-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Charlotte Brown· Oct 26, 2024
github-issues is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Alexander Park· Oct 14, 2024
github-issues has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Charlotte Tandon· Oct 6, 2024
Useful defaults in github-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Diya Khan· Sep 25, 2024
github-issues has been reliable in day-to-day use. Documentation quality is above average for community skills.
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