1.8万 个 · 按相关度排序
Request an independent code review using GPT-6.1-Sol at Max reasoning through Codex and Cloudroom. Review the current environment, including uncommitted changes, and return the completed reviewer’s full response covering serious issues and readiness to merge.
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Review pull requests, branches, or uncommitted changes across eight areas, including security, correctness, and tests. Verify findings against the code, group problems by type, and assess whether the change needs redesign or smaller fixes.
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Review code changes from several perspectives using parallel specialist agents. It combines findings on code quality, design alignment, and change risks into a final verdict, prioritized actions, and a distinction between blocking and non-blocking issues.
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Review completed implementation changes before final verification. Classify their impact, arrange independent review when required, resolve actionable findings, and preserve evidence that the final delivered content matches what was reviewed and passes the applicable verification checks.
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Prepare code review requests with an implementation summary, requirements, and the exact Git commit range. Assemble reviewer instructions and organize follow-up actions by severity after a feature is completed or before changes are merged.
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[omh] CRM pipeline or sales forecast to review: turn a supplied CRM export or pipeline snapshot into an evidence-bound pipeline health, forecast, and follow-up review. Aliases: pipeline-review, forecast-review, deal-review. Use when the user says: sales-pipeline-review, sales pipeline review, pipeline review, pipeline health, pipeline coverage, deal review, deal health, sales forecast review.
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Amazon niche market review analysis and consumer sentiment insights. Trigger when the user mentions niche market review analysis, consumer sentiment, user pain points, customer feedback insights, review topic analysis, positive/negative review breakdown, niche market opinion mining, product review sentiment analysis, niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Nexscope data. Even if the user does not explicitly mention "niche market reviews", if their need involves analyzing consumer reviews within Amazon niche markets or understanding customer sentiment at the niche market level, this skill should also be triggered.
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Multi-agent code review using the Pragmatic Quality framework. Orchestrates parallel review agents (CLAUDE.md compliance, bug scanning, git history, security) with independent confidence scoring to produce high-signal findings. Use when user runs /code-review, /review:code-review, requests a "code review", "review my changes", "PR review", or mentions "review diff", "review branch".
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Autonomous comprehensive review. Once-through pipeline over /review-health, /review-arch, /review-security, /review-perf, /review-a11y, /review-test, /review-release. Operator-configurable ticket creation at startup — when ON, auto-approves sub-skill ticket proposals per the orchestrator-family contract; when OFF, uniformly declines and surfaces findings in the consolidated report. Auto-detects sub-skills that do not apply (no web content → skip /review-a11y; no tests → skip /review-test).
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Sweeps a SharePoint library listing (an export or a listing the agent can reach, with file name, link, review-date column and owner column) for documents past their review date and returns a dated DRAFT review sweep report (Overdue, Due soon, No review date, Summary) plus one ready-to-paste reminder per document owner for the user to send. Never changes metadata, sends a message or invents a document, date or owner. Use when the user asks to "find the documents past their review date", "run the review sweep on the policies library", "which documents are overdue for review", "audit the review dates in this library export" or "draft reminders to owners about stale documents". Do not use for duplicate, conflict and ownership checks across knowledge files, use knowledge-base-hygiene-review instead; for gaps in an engineering deliverables register, use master-document-register-check. Drafts for human review; never approves, authorises or signs off.
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UIKit iOS/iPadOS UI フレームワーク。 UIViewController, UINavigationController, UITabBarController, UISplitViewController, UIView, UILabel, UIButton, UITextField, UIScrollView, UIStackView, UITableView, UICollectionView, diffable data source, NSDiffableDataSourceSnapshot, UICollectionViewCompositionalLayout, Auto Layout, NSLayoutConstraint, NSLayoutAnchor, UILayoutGuide, intrinsicContentSize。 UIArrangementViewController, UISplitArrangement, UIOverlayArrangement, UIView.ReservedRegion, UIHingeInteraction, 縦軸バー, iPhone Duo adaptive layout (iOS 27.1+), scene-based life cycle 移行, UISceneAccessory。SwiftUI ArrangementView とは別 API。
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Review code changes for correctness, completeness, bugs, edge cases, and quality. Load when the user explicitly asks to review code, check a PR, review a diff, audit recent changes, or verify an implementation matches requirements. Also triggers on "review this code", "check this PR", "review my changes", "code review", "did this implement correctly", "audit this diff", or any explicit request for a formal code review. Do NOT load for "review changes for context" or "review what happened" — those are requests to read code, not to perform a formal review.
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审查代码变更及其调用方，检查缺陷、安全风险、负载问题、测试缺失、速度和多余实现，按优先级报告具体故障场景、最小修复方案及未修复的影响。
根据在室人数、呼吸心率、动作姿态、睡眠或室内变化等RuView用途，选择示例与启动步骤，指导运行模拟演示或接收ESP32数据的实际环境。
利用Wi-Fi测量数据训练和评估RuView模型，涵盖姿态估计、跨环境适应、GPU训练，以及将训练后的模型发布到Hugging Face。
为已安装Storybook的项目配置可运行的preview文件和展示实际组件的示例故事。先核实安装情况及版本是否符合要求，再继续完成配置。
Run a final pull request review using separate agents for each available review skill. Collect all reported issues into a numbered Markdown list, with a specific file path and line number for every finding.
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Upload preview images and videos for a Remotion Element to remotion.media, then update the corresponding URLs. The skill also handles local asset cleanup according to whether previews come from fresh renders or committed submissions.
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Implement PR review actions already selected for fixes, run relevant checks, and create focused commits. Post progress and completion replies, resolve applicable threads, and update the action records and their Markdown summary.
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Organize parallel code reviews across security, performance, architecture, testing, and accessibility. It helps assign review areas, merge duplicate findings, apply consistent severity ratings, and produce one report with locations, impacts, suggested fixes, and prioritized actions.
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Bring together public reviews, complaints, and customer activity to identify recurring issues and customers who may leave. Produce evidence-backed themes, review reply drafts in the owner's voice, and personalized messages to win back inactive customers.
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Review multiple game design documents together to find conflicting rules, overlapping responsibilities, economic imbalance, and strategies that overshadow others. Assess how systems interact and identify issues that individual document reviews can miss.
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Review code changes or a pull request for bugs, effects on existing behavior, test gaps, and project standards. Receive findings supported by the code and a clear account of review coverage, with local fixes available when explicitly requested.
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Assess an existing Verdaccio pull request by checking code changes, automated checks, review feedback, release notes, and supported release branches. Receive a verified report explaining whether it is ready to merge and what needs attention.
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