| name | issue-enricher |
| description | Transforms rough requirements into well-structured GitHub issues. Use when the user provides a vague idea, feature request, or problem description and wants to create a GitHub issue. Analyzes codebase, explores solution approaches, researches relevant libraries, and generates actionable issues using `gh` CLI. |
| license | Complete terms in LICENSE.txt |
Process
1. Understand the Requirement
Extract from user input:
- Core problem/goal: What needs to be solved?
- Mentioned constraints: Tech stack, performance, compatibility
- Referenced files/APIs:
@file.yaml, existing code paths
- Related issues: Links to parent or related issues
If the task is enriching an existing GitHub issue rather than creating a new one:
- Treat
docs/issues/ as the local issue knowledge base when it is available
- Search for mirrored GitHub issues and prior local issue reports before proposing a new direction
- Call out duplicate or related issues explicitly in the output
- For related GitHub issues, inspect associated pull requests and summarize the changed files / diff themes when that context is available
2. Codebase Analysis
Search the codebase to understand context:
- Existing patterns for similar features
- Related modules and their architecture
- Relevant configuration files
- Test patterns used in the project
- Existing local issue files under docs/issues/ that provide historical context
- Linked PR file changes for related GitHub issues (fetch via gh when needed)
When related historical GitHub issues are found, fetch their linked PR context before finalizing the analysis:
gh issue view <issue-number> --json number,title,url,closedByPullRequestsReferences
gh api repos/<owner>/<repo>/pulls/<pr-number>/files --paginate
Summarize:
- changed modules / directories
- key files touched
- test coverage added or updated
- patch themes from the returned
patch hunks
3. Solution Exploration
For each potential approach, research:
- Libraries/Tools: Search npm, crates.io, PyPI for relevant packages
- Trade-offs: Performance, complexity, maintenance burden
- Integration effort: How it fits with existing architecture
Generate 2-3 distinct approaches when multiple solutions exist.
If one requirement actually contains multiple distinct features:
- Split it into multiple issue proposals instead of forcing one umbrella issue
- Keep each issue independently implementable and testable
- Explicitly explain why you split or why you kept items together
- Do not emit search narration or work logs; output final issue drafts only
4. Create GitHub Issue
Use gh issue create with structured content:
gh issue create \
--repo {owner}/{repo} \
--title "Brief, action-oriented title" \
--body "$(cat <<'EOF'
# Problem
[1-2 sentences describing the core problem]
## Context
- Current behavior: ...
- Desired behavior: ...
- Related: #issue-number (if applicable)
## Proposed Approaches
### Approach 1: [Name]
**Libraries**: `package-name` (v1.x) - [brief description]
**Pros**:
- ...
**Cons**:
- ...
**Estimated effort**: Small/Medium/Large
### Approach 2: [Name]
...
## Recommendation
[Which approach to start with and why]
## Out of Scope
- [Explicitly excluded items]
## Labels
`enhancement`, `area:...`
EOF
)"
Issue Quality Checklist
Tips
- Don't over-specify: Focus on the problem, not implementation steps
- Research libraries: Use web search to find current, maintained options
- Reference existing code: Point to patterns already in the codebase
- Keep it scannable: Use headers, bullets, and code blocks
- Label thoughtfully: Match project's existing label conventions
Output
Each issue draft must include:
- A
Related History section citing concrete prior issues or None found after searching docs/issues/
- A
Related PR File Context section when related issues have associated PRs
- A
Recommendation section choosing one approach
- An
Out of Scope section
- Final drafts only, no chain-of-thought or search transcript
After creating the issue:
- Confirm the issue URL
- Summarize what was created
- Note any assumptions made that user should verify