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    GitHub Issue-to-Pull-Request Agent

    by Shandra

    1

    Converts GitHub issues into repository-aware implementation plans, code changes, tests, and review-ready pull requests.

    $7.99

    30-day refund guarantee

    Secure checkout via Stripe

    0 installsSecurity scanned

    See it in action

    You say

    Analyze issue #42 regarding duplicate webhook delivery and prepare a full implementation plan and code changes for the fix.

    Your agent does

    Implementation Plan

    1. Move idempotency lookup before delivery creation in webhook_service.py.
    2. Add regression test in tests/test_webhooks.py.
    3. Update CHANGELOG.md.

    Code Changes

    # snippet of fix...

    PR Description

    Closes #42. Fixes race condition in...

    What you get

    Transform ambiguous bug reports into concrete implementation plans and fixes.Generate behavior-focused unit and integration tests for new features.Create review-ready PR descriptions with evidence-based verification records.Audit existing code changes for scope drift and requirement compliance.

    About this skill

    The problem

    GitHub issues are often implementation-ready. Developers waste time interpreting ambiguous requirements, rediscovering repository patterns, and writing repetitive PR descriptions instead of focusing on code.

    What it does

    • Extracts acceptance criteria and behavior models from GitHub issues and comments.
    • Performs repository reconnaissance to identify impacted files and local coding conventions.
    • Generates targeted code changes and automated tests that follow existing architecture.
    • Performs multi-layered verification including security, privacy, and accessibility reviews.
    • Produces complete pull request packages with titles, descriptions, and reviewer guidance.

    Frameworks & tools

    Works with GitHub, Cursor, Claude Code, and Copilot. Supports JavaScript, TypeScript, Python, Go, Rust, Java, Swift, Ruby, SQL, Terraform, and Docker.

    Why this beats prompting it yourself

    Standard prompts often result in scope creep, unrelated refactoring, or tests that validate implementation instead of behavior. This skill enforces a disciplined sequence from requirement modeling to evidence-based verification, ensuring minimal diffs and review-ready outputs.

    Use cases

    • Convert vague bug reports into reproducible test cases and verified fixes.
    • Decompose large, complex issues into manageable, sequenced pull requests.
    • Generate comprehensive API or UI feature implementations with migration notes.
    • Audit existing diffs against original issue requirements for compliance.

    Known limitations

    Cannot independently guarantee deployment safety without repository access and executed CI evidence. High-impact architectural or security decisions require manual specialist approval.

    github
    issue-to-pr
    software-engineering
    code-changes
    testing
    pull-request
    code-review
    repository-analysis

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

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    Verified clean today

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    Creator

    Shandra

    Shandra is a top-ranked AI prompt creator and premium agent skill builder with an established track record in the AI marketplace. She is recognized as a #1 Top Seller on PromptBase, where she has built a trusted catalog of specialized AI prompts and agent skills for creators, entrepreneurs, educators, marketers, digital product sellers, and business professionals. With over 3,500 AI products published, more than 3,400 sales, and 1,000+ five-star reviews, Shandra has become known for creating practical, polished, and commercially useful AI resources that help users save time, organize complex ideas, generate high-quality content, build digital products, and transform creative concepts into actionable workflows. Her Agensi store focuses on premium, ready-to-use agent skills designed for real-world productivity. Each skill is developed with clear instructions, structured workflows, professional formatting, practical use cases, setup guidance, examples, edge-case handling, and a strong emphasis on usability. Her work combines creative strategy, prompt engineering, documentation design, business thinking, and practical automation into reliable tools that users can apply immediately. Shandra’s mission is to create AI skills that feel professional, useful, and complete from the first use — not generic templates, but carefully built workflow systems that help users think better, work faster, and produce stronger results.

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