Generate structured implementation plans from GitHub issue narratives.
npx skills add https://github.com/LoanLemur/skills --skill design-loanlemur
Please help me install this Agent Skill. Skill: design Source: https://github.com/LoanLemur/skills/tree/main/design Command: npx skills add https://github.com/LoanLemur/skills --skill design-loanlemur
Converts vague or under-specified GitHub issues into a concrete, scannable implementation plan so engineering teams can implement features without repeated clarification rounds or ad-hoc design churn.
Design an implementation plan for the GitHub issue at https://github.com/owner/repo/issues/123.
High-intent search queries and answers about installing and using this skill.
Generate an implementation plan by providing a GitHub issue URL containing a behavior inventory or "How it works" narrative. The tool reads the issue and repository files, maps conventions, and appends a structured plan to the issue.
An implementation plan for technical decisions is a structured document mapping relevant files, conventions, and integration points. It contains ordered, independently valuable capabilities to guide commit-by-commit execution without ad-hoc design churn.
The implementation plan generator works with GitHub repositories where the agent can read code, grep files, and reference existing patterns. The GitHub issue must include a behavior inventory or "How it works" narrative to process.
Structure a GitHub issue for implementation plan generation by including a behavior inventory or a "How it works" narrative. This descriptive content provides the basis for mapping codebase integration points and producing ordered capabilities.
The best way to convert vague issues into actionable coding tasks is using automated codebase analysis to map existing patterns and integration points. This produces concise technical decisions, risks, and ordered capabilities appended directly to the issue.
You need sub-agent reviews for implementation planning when processing complex GitHub issues that require grounding in existing codebase patterns. Reviews help validate technical decisions and risks before appending the structured plan to the issue.
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