home / skills / jeremylongshore / claude-code-plugins-plus-skills / creating-github-issues-from-web-research

This skill converts web research into actionable GitHub issues by extracting findings and formatting clear tickets with sources.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill creating-github-issues-from-web-research

Review the files below or copy the command above to add this skill to your agents.

Files (10)
SKILL.md
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---
name: creating-github-issues-from-web-research
description: |
  Execute this skill enhances AI assistant's ability to conduct web research and translate findings into actionable github issues. it automates the process of extracting key information from web search results and formatting it into a well-structured issue, ready... Use when managing version control. Trigger with phrases like 'commit', 'branch', or 'git'.
allowed-tools: Read, WebFetch, WebSearch, Grep
version: 1.0.0
author: Jeremy Longshore <[email protected]>
license: MIT
---
# Web To Github Issue

This skill provides automated assistance for web to github issue tasks.

## Overview


This skill provides automated assistance for web to github issue tasks.
This skill empowers Claude to streamline the research-to-implementation workflow. By integrating web search with GitHub issue creation, Claude can efficiently convert research findings into trackable tasks for development teams.

## How It Works

1. **Web Search**: Claude utilizes its web search capabilities to gather information on the specified topic.
2. **Information Extraction**: The plugin extracts relevant details, key findings, and supporting evidence from the search results.
3. **GitHub Issue Creation**: A new GitHub issue is created with a clear title, a summary of the research, key recommendations, and links to the original sources.

## When to Use This Skill

This skill activates when you need to:
- Investigate a technical topic and create an implementation ticket.
- Track security vulnerabilities and generate a security issue with remediation steps.
- Research competitor features and create a feature request ticket.

## Examples

### Example 1: Researching Security Best Practices

User request: "research Docker security best practices and create a ticket in myorg/backend"

The skill will:
1. Search the web for Docker security best practices.
2. Extract key recommendations, security vulnerabilities, and mitigation strategies.
3. Create a GitHub issue in the specified repository with a summary of the findings, a checklist of best practices, and links to relevant resources.

### Example 2: Investigating API Rate Limiting

User request: "find articles about API rate limiting, create issue with label performance"

The skill will:
1. Search the web for articles and documentation on API rate limiting.
2. Extract different rate limiting techniques, their pros and cons, and implementation examples.
3. Create a GitHub issue with the "performance" label, summarizing the findings and providing links to the source articles.

## Best Practices

- **Specify Repository**: When creating issues for a specific project, explicitly mention the repository name to ensure the issue is created in the correct location.
- **Use Labels**: Add relevant labels to the issue to categorize it appropriately and facilitate issue tracking.
- **Provide Context**: Include sufficient context in your request to guide the web search and ensure the generated issue contains the most relevant information.

## Integration

This skill seamlessly integrates with Claude's web search Skill and requires authentication with a GitHub account. It can be used in conjunction with other skills to further automate development workflows.

## Prerequisites

- Appropriate file access permissions
- Required dependencies installed

## Instructions

1. Invoke this skill when the trigger conditions are met
2. Provide necessary context and parameters
3. Review the generated output
4. Apply modifications as needed

## Output

The skill produces structured output relevant to the task.

## Error Handling

- Invalid input: Prompts for correction
- Missing dependencies: Lists required components
- Permission errors: Suggests remediation steps

## Resources

- Project documentation
- Related skills and commands

Overview

This skill automates turning web research into ready-to-use GitHub issues. It streamlines the research-to-implementation flow by extracting key findings, recommendations, and source links, then formatting them into clear issue titles, descriptions, checklists, and labels.

How this skill works

The skill runs targeted web searches on a topic you specify, then parses results to extract relevant facts, risks, implementation notes, and citations. It synthesizes that information into a concise issue body with a recommended title, summary, action items, and links. Finally, it uses GitHub authentication to create the issue in the specified repository and apply labels or assignees when provided.

When to use it

  • Converting research findings into implementation or tracking tickets
  • Raising security vulnerability reports with remediation steps
  • Creating feature requests after competitor or market analysis
  • Documenting performance or reliability recommendations discovered online
  • Onboarding research tasks for squads that need source-backed context

Best practices

  • Specify the repository and target branch or team to avoid misplacement
  • Provide clear search scope and constraints (time range, trusted sources, languages) for more relevant results
  • Include desired labels, priority, and assignees to auto-categorize issues
  • Request a preferred issue template or checklist format for consistent output
  • Review and edit autogenerated content before merging into a release workflow

Example use cases

  • "Research OAuth 2.1 migration steps and create issue in org/auth-service with priority:high"
  • "Find Docker image hardening guides and open a security issue with remediation checklist"
  • "Survey competitor feature X and file a feature-request issue with pros/cons and links"
  • "Collect best practices on API rate limiting and create a performance-labeled ticket"

FAQ

What inputs should I provide for best results?

Give a clear topic, repository name, desired labels/assignees, and any constraints like date range or trusted sources.

Can it create issues in private repos?

Yes, but the GitHub account used must have appropriate permissions; otherwise the skill will report a permission error and remediation steps.