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north-starr
north-starr contains 10 collected skills from selcukyucel, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Decompose a PRD into prioritized, dependency-mapped epics and user stories. Accepts pasted text, file path, or PDF.
Inject managed sections into existing CLAUDE.md and AGENTS.md after a plugin update without re-bootstrapping. Preserves all project-specific content.
Generate AI tool configuration for an existing project. Explores the codebase and produces context files, path-scoped pattern rules, landmine rules, and agents for Claude Code and VS Code Copilot. Run once per project.
Autonomously improve any skill prompt using a measure-change-test loop inspired by Karpathy's autoresearch. Runs the skill repeatedly, scores output against a yes/no checklist, makes one small change per round, keeps improvements, reverts regressions. Use when the user asks to "improve a skill", "optimize a skill", "autoimprove", "run autoresearch on a skill", or similar requests about iteratively improving skill quality.
Analyze code modules and files for refactoring opportunities, code smells, and architectural pattern violations in any language or framework. Use this skill when the user asks to "analyze code smells", "find refactoring opportunities", "check for code quality issues", or "review architecture" for a specific module or file.
Generate clear, descriptive git commit messages by analyzing staged changes. Use this skill when the user asks to "generate a commit message", "write a commit message", "create a commit message", or similar requests related to git commits.
Generate a pull request description by analyzing git changes against the target branch and filling in the project's PR template. Use this skill when the user asks to "generate PR description", "write PR description", "create PR body", "fill PR template", "prepare pull request", or similar requests related to pull request documentation.
Deep structured inversion analysis on a requirement before implementation. Identifies risks, edge cases, failure modes, and convention violations. Use before complex or high-stakes tasks.
After completing a task, capture learnings by updating AI tool configuration. Creates or updates rules, agents, and context files based on what was discovered — in the native format for each tool (Claude Code, VS Code Copilot, AGENTS.md). Use after any task where something surprised you, went wrong, or produced a reusable insight.
Generate a weekly commit report from git history as both markdown and a styled HTML page. Use this skill when the user asks to "generate a weekly report", "write a commit report", "analyse commits this week", "create a weekly summary", or similar requests about summarizing recent git activity.