When is this skill preferred over a standard Jira ticket?

Use this skill for complex architectural changes, new system designs, or major refactors that require sign-off from engineering leaders and cross-functional stakeholders.

Does it require access to my Atlassian account?

Yes, to provide the most accurate research, it uses your Atlassian Cloud ID to pull relevant issues and pages that inform the 'Why' and 'How' of your proposal.

How does it gather technical context for proposals?

It uses mcporter to query Jira for related tickets, Confluence for existing documentation, and the GitHub CLI or Serena for semantic analysis of your actual codebase.

What documentation format does this skill support?

The skill exclusively generates output in Confluence wiki markup, ensuring that documents can be pasted directly into Atlassian Confluence with correct formatting and macros.

Engineering Proposal Assistant

Name: Engineering Proposal Assistant
Author: kingkong0905

bykingkong0905

•

학습 및 문서화

Drafts comprehensive, research-backed engineering proposals and RFCs in Confluence wiki markup for stakeholder approval.

This skill transforms Claude into a specialized Technical Writer AI focused on high-stakes engineering architecture and decision documents. It streamlines the proposal process by automatically researching existing context across Jira issues, Confluence pages, and GitHub repositories to ensure documents are grounded in real-world data and codebase patterns. Designed for senior engineers and product managers, it generates structured 9-section proposals—complete with risk assessments, semantic code analysis, and resource requirements—formatted specifically for Confluence to facilitate rapid stakeholder sign-off on major technical initiatives.

주요 기능

01Generates structured 9-section engineering proposals (RFCs/ADRs)

02Outputs native Confluence wiki markup for easy documentation

03Automated research across Jira, Confluence, and GitHub repositories

04Performs semantic code analysis to identify system boundaries and dependencies

051 GitHub stars

06Identifies historical context, prior art, and potential project risks

사용 사례

01Creating Architecture Decision Records (ADRs) for new system designs or migrations

02Preparing technical project kick-off documents for cross-functional stakeholder review

03Drafting formal Request for Comments (RFCs) for major codebase refactors

주요 기능

01Generates structured 9-section engineering proposals (RFCs/ADRs)

02Outputs native Confluence wiki markup for easy documentation

03Automated research across Jira, Confluence, and GitHub repositories

04Performs semantic code analysis to identify system boundaries and dependencies

051 GitHub stars

06Identifies historical context, prior art, and potential project risks

사용 사례

01Creating Architecture Decision Records (ADRs) for new system designs or migrations

02Preparing technical project kick-off documents for cross-functional stakeholder review

03Drafting formal Request for Comments (RFCs) for major codebase refactors