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Found 206 Skills
AI 코딩 에이전트를 시각적 Kanban 보드에서 관리. To Do→In Progress→Review→Done 흐름으로 병렬 에이전트 실행, git worktree 자동 격리, GitHub PR 자동 생성.
Resolves unresolved GitHub PR review threads end-to-end: evaluates whether each review comment is correct, applies a targeted fix when valid, replies with rationale when not, commits, and resolves the thread. USE FOR: unresolved review threads, PR review feedback, changes requested PRs, PR review URLs (#pullrequestreview-...), fix the review comments, close the open threads, address PR feedback. DO NOT USE FOR: summarizing feedback without code changes, creating new PRs, or read-only branches.
Trigger a pre-merge release readiness review on a GitHub PR, GitLab MR, or local branch. Use when the user wants to analyze code changes for risk, correctness, and potential rollback issues before merging. Trigger words include release readiness, analyze PR, analyze MR, review PR, risk analysis, pre-merge, safe to ship, ready to merge, ready to commit, any risks, before merging, validate changes, release management.
Review a project's PRs to check for issues detected in code review by Seer Bug Prediction. Use when asked to review or fix issues identified by Sentry in PR comments, or to find recent PRs with Sentry feedback.
fix PR review feedback: fetch unresolved threads, triage each finding skeptically, fix what holds, reply on threads, commit and push. Triggers: /fix-pr, address PR reviews. Reached by prath-mode after make-pr. Flags: --pr <n|url>, --no-push, --no-reply.
Cherry-pick merged PRs labeled for a release branch into that branch, then open a PR and apply the cherry-pick-done label. Use when asked to "cherry-pick PRs for release/X.Y.Z", "pick PRs to release branch", or "cherry-pick labeled PRs".
GitHub PR の CI ステータス (`gh pr checks`)・コード品質・セキュリティ (OWASP Top 10)・Conventional Commits 準拠をレビューする。`gh pr review --approve/--request-changes/--comment` でレビュー投稿も可能。「PR #N をレビュー」「PR レビューして」などで使用。ローカル diff のレビューには implement-review を使用。
This skill should be used when the user needs to optimize a resume for software engineering, product management, or technical roles. Use when tailoring a tech resume to emphasize engineering contributions, open-source work, system design, or technical leadership for software and product positions.
Generate objective reference check reports about the user from real AI collaboration data — session history, git logs, GitHub profile, and memory files. Like a colleague writing a professional reference, but grounded in actual shared work. Use whenever the user asks to evaluate them as a developer, wants a reference letter, work style analysis, introduced by my agents content, interview prep from collaboration history, or blog topics from past discussions. Triggers on: write a reference, analyze my work patterns, what do you think of me, 나에 대한 레퍼런스 써줘, 내 작업 스타일 분석해줘. Not for general code review, architecture docs, cover letters, or codebase-only analysis.
Open a pull request the bklit-ui way: stage and commit with pre-commit hooks, run ultracite from the repo root, run a production test build, fix failures, push, and create a PR with a structured summary. Use when the user asks to commit, push, open a PR, "ship it", or run the full pre-PR checklist.
Finalize GitHub PRs end-to-end: update branch/PR, monitor CI until green, squash-merge, and clean up local/remote state. Use when asked to $fin or to finish/land/merge/close a PR, watch checks or runs, squash-merge, delete the branch, and sync local state.
Prepare a GitHub PR for merge by rebasing onto main, fixing review findings, running gates, committing fixes, and pushing to the PR head branch. Use after /review-pr. Never merge or push to main.