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ai-driven-engineering
ai-driven-engineering には SaschaHeyer から収集した 7 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Prepare a finished feature for review — clean the worktree, rebase on the base branch, resolve conflicts, and open or update a GitHub pull request linked to the Linear issue. Use as the final shipping step once implementation is complete and the user wants to raise or update a PR.
Autonomously execute an approved implementation plan from a Linear issue — write code, run tests, commit changes, and check off tasks in Linear. Use when the plan is ready and the user wants to build the feature or fix end to end, isolating the work in a dedicated git worktree.
Refine a rough feature request or bug report into a structured PRD or Bug Brief inside a Linear issue. Use at the start of the engineering workflow to define and clarify what to build before any planning or coding — e.g. when the user wants to write a PRD, draft requirements, or turn an idea or ticket into a spec in Linear.
Generate a detailed implementation plan with parent tasks and atomic sub-tasks from the PRD in a Linear issue, syncing it to a
Generate a narrative summary and visual storyboard (browser screenshots) of completed changes and sync it to the Linear issue. Use after implementation to produce a human-readable walkthrough and visual proof of what was built for reviewers and stakeholders.
Manages Git worktrees for isolated parallel development. Creates branches (linking ticket IDs if available), copies local environment files, and pushes changes to the remote.
Lightweight skill to capture solved problems and learnings into simple markdown files