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Guide embedding Zoom Virtual Agent in an Android WebView, a browser view inside an app. Covers communication with Java or Kotlin, URL routing, support handoff events, and embedding that accounts for the WebView lifecycle.
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Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
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Create, edit, and validate SDFormat files that describe robots and simulation worlds. Check coordinate frames, joints, geometry, and physical properties, review models in CAD Viewer, and report assumptions and compatibility risks before simulator handoff.
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Prepare interview scheduling drafts by matching Greenhouse interview plans with every panelist’s calendar. Produce two or three available time options, a candidate email, and individual invitation drafts for a coordinator to review and send.
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Run Polly AI Review and Open Code Review repeatedly on a pull request. Track each finding, fix relevant issues, document justified dismissals, and verify that review evidence and recorded decisions cover the latest commit.
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Review medium to large code changes using checks selected for the actual patch. Analyze the change and surrounding code, assign focused reviews by function, file, or feature, and combine findings with locations, confidence levels, and supporting evidence.
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Extract the same fields from a batch of contracts or other documents into a comparison spreadsheet. Each answer includes a source quote and location, while missing, ambiguous, and review-required information is clearly distinguished for human verification.
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Review code using shared OpenClaw instructions and a Python helper, while also following the target repository’s review requirements. This skill points to a common installation that supplies the actual review procedure.
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Review code for bugs, security vulnerabilities, API misuse, consistency issues, simplicity problems, or test coverage gaps and low-value tests by running internal reviews and a peer review in parallel and returning combined findings. Single-concern with a type argument, or full review with no argument. Use when the user asks to "review my code", "full code review", "review my changes", "check for bugs", "scan for bugs", "review correctness", "security audit", "find vulnerabilities", "review security", "check API usage", "verify against docs", "check for cross-file duplication", "review consistency", "check for code reuse", "review simplicity", "find untested code", "find redundant tests", or "review test coverage".
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Drive a GitHub Copilot (or any bot reviewer) pull-request review to a clean pass without babysitting it: fix each finding in its own commit, reply to the review thread with the fix sha, resolve the thread, re-request the bot, and poll for the async re-review. Covers the thread node-id (PRRT_...) vs comment databaseId distinction, the resolveReviewThread GraphQL mutation, the copilot-pull-request-reviewer[bot] slug, and how to read the bot's verdict (COMMENTED plus a "human review recommended" banner is not a blocking finding). Use when Copilot has left review comments on your PR, when bot review threads must be closed out with an auditable fix-reply-resolve trail before merge, or when you need to verify that a re-review actually landed on the new HEAD rather than the old one.
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Simulate a Nature-style reviewer assessment from the referee perspective rather than an author rebuttal. Use when the user wants a pre-submission review, reviewer report, peer-review style critique, novelty/significance/technical soundness assessment, reviewer-style manuscript evaluation, 审稿人视角评估, 预审稿意见, or Nature reviewer report. Return 3 reviewer reports plus a cross-review synthesis, grounded only in the local Nature reviewer source basis. Also trigger on general pre-submission review requests during academic writing even without the word "Nature", such as getting a mock peer review for any journal, critiquing a draft as a reviewer would, assessing novelty/rigor before submission, and Chinese phrasings like 审稿人视角、模拟审稿、预审、帮我审一下论文、投稿前自审、审稿意见模拟、找论文问题.
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review-all を実行し、指摘内容をコードに反映、bun run c / bun run lint / bun test で自己検証し、CONVERGED/NOT_CONVERGED の収束判定付き完了レポートを /tmp/arima-review-fix-result.md に出力する。レビュー→修正→検証→レポートを一気通貫で行うスキル。スコープ引数は /review-all と同じ（wt / PR #N / vs:<branch> / range / ファイル列挙）。review-fix-loop からの自動呼び出し（mode=non-interactive）にも対応。Use when user says 'レビューして直して', 'review and fix', '自動修正', 'レビュー反映', or when invoked by review-fix-loop.
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通过SHA-256核对RuView处理结果，生成可供第三方重新验证的证据包，并检查精度数值是否标明实测、声明或合成数据，以及实机验证证据是否齐全。
帮助启动RuView传感节点，指导构建和烧录ESP32-S3／ESP32-C6固件，配置WiFi与接收地址，检查串口日志，并排查CSI数据未送达的原因。
Automate Async Interview operations through Rube MCP and Composio. The skill finds available tools, checks the service connection, and uses current input requirements to carry out supported tasks within a shared workflow session.
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Review a GitNexus pull request for production readiness with seven coordinated reviewer agents. Combine their findings and have a final critic check the draft, producing a review without editing code or posting results.
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Coordinate GitHub pull request reviews by assigning comment triage and code changes to dedicated sub-agents. Repeat the process, track decisions and progress, and reply to and resolve threads as fixes are completed.
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Collect and validate the review state of a GitHub pull request, then generate a readable Markdown report, a text summary, and a list of items to address before review triage begins.
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Build Avalonia screen logic, navigation, and step-by-step wizards using Zafiro and ReactiveUI. The skill guides ViewModels, which manage screen state and behavior, plus commands, automatic section discovery, and connections between views and their logic.
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Create a structured hiring interview kit with questions tied to job skills, clear scoring criteria, interviewer assignments, and a discussion template. Use shared questions and evidence from candidates’ answers to support consistent evaluations.
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Improve research through repeated Gemini reviews, code changes, experiments, and analysis. The workflow records full feedback and actions, then stops when both the score and readiness criteria are met or the round limit is reached.
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Automate Async Interview operations through Rube MCP and Composio. The skill finds available tools, checks the service connection, and uses current input requirements to carry out supported tasks within a shared workflow session.
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Ask external AI command-line tools to independently review a development phase plan. Collect feedback by reviewer in REVIEWS.md, then feed the results into GSD planning to support revisions.
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Review development plans with external AI tools, then revise and review them again while actionable concerns remain. Choose reviewers and a cycle limit to work toward a plan with resolved review findings.
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