Load all open issues from the current GitHub repository and save them as markdown files in the ./specs/issues/ directory.
Works with
Load all open issues from the current GitHub repository and save them as markdown files in the ./specs/issues/ directory.
Follow these steps:
Use the gh CLI to list all open issues in the current repository:
gh issue list --limit 100 to get all open issuesFor each open issue, fetch detailed information:
gh issue view <number> --json number,title,body,state,createdAt,updatedAt,author,labels,assignees,urlCreate the issues directory:
mkdir -p ./specs/issues to ensure the directory existsSave each issue as a separate markdown file:
<number-padded-to-3-digits>-<kebab-case-title>.md007-make-code-review-trigger-on-sql-sh-changes.mdUse the following markdown template for each issue file:
# Issue #<number>: <title>
**Status:** <state>
**Created:** <createdAt>
**Updated:** <updatedAt>
**Author:** <author.name> (@<author.login>)
**URL:** <url>
## Description
<body>
## Labels
<labels or "None">
## Assignees
<assignees or "None">
IMPORTANT: Execute all steps in the correct order and ensure all issue data is properly formatted in the markdown files.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongit:load-issuesExecute the skills CLI command in your project's root directory to begin installation:
Fetches git:load-issues from neolabhq/context-engineering-kit 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 git:load-issues. Access via /git:load-issues 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.
Submit your Claude Code skill and start earning
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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upvotes
Run in your terminal
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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
ailabs-393/ai-labs-claude-skills
git:load-issues has been reliable in day-to-day use. Documentation quality is above average for community skills.
git:load-issues reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: git:load-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added git:load-issues from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: git:load-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in git:load-issues — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added git:load-issues from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: git:load-issues is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added git:load-issues from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
git:load-issues reduced setup friction for our internal harness; good balance of opinion and flexibility.
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