“duplication”的搜索结果

依据共用规范审查和整理代码，检查命名、可读性、不直接修改原始数据的更新方式及错误处理，找出重复逻辑、过长函数与过度复杂的设计，便于后续维护。

• 审查现有代码的命名与可读性
• 整理过长函数与深层条件分支
• 统一新模块的编码规范

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。

• 审查PR或最近一次提交
• 检查安全与数据丢失风险
• 检查预期负载下的问题和测试缺失

将代码按功能整理为流程图，调查功能内部及功能之间的重复逻辑，并根据证据提出整合方案，生成交给`/make-plan`的规划请求。

• 重构前了解各功能的处理流程
• 查找功能内部及跨功能的重复逻辑
• 对照整合方案与现有调用位置

Review source code for readability, complexity, duplication, and maintainability without changing files. Receive a structured report with prioritized issues, refactoring suggestions, positive findings, and estimates of technical debt—the work needed to address accumulated code problems.

中文简介正在准备中。当前显示英语简介。

• Review the quality of an authentication module
• Find duplicate code and overly long methods
• Assess accumulated code problems and repair effort

Review image alt text, the descriptions read by screen readers, for unnecessary phrases and duplication of nearby text. Identify specific images to fix and make their descriptions concise while preserving information about what the images mean.

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• Reviewing image descriptions for accessibility
• Removing alt text that repeats nearby captions
• Checking screen reader output after fixes

Review images and their visible captions, then connect them with figure and figcaption markup. Check caption placement and alternative text so screen readers can present the relationship between an image and its description.

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• Reviewing HTML for images with captions
• Checking captions and alternative text for duplication
• Improving screen reader access to image descriptions

Clean up AI-generated code in branch changes or selected files while preserving behavior. Establish passing regression tests first, then remove unnecessary code and complexity, run project quality checks, and report both changes and skipped issues.

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• Cleaning up recent AI-generated changes
• Removing redundant comments and dead code
• Simplifying duplication and excessive complexity

Maintain Cherry Studio documentation by checking it against source code, placing facts in appropriate files, and removing duplication. Review documentation affected by code changes and keep relevant English and Chinese counterparts aligned.

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• Organizing READMEs and reference documentation
• Reviewing documentation affected by code changes
• Checking comments and agent instructions against code

Improve existing code structure while preserving its behavior. Review dependencies and tests, identify maintainability problems such as duplication or long functions, and plan small changes with testing, reversible commits, and a final comparison of results.

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• Splitting long functions into smaller, clearer functions
• Removing duplicated logic and unused code
• Planning improvements to hard-to-maintain legacy code

Research social discussions using public posts or authorized exports, and produce reports that link each claim to inspected evidence. Track duplicate posts, distinguish speakers, document access gaps, and audit conclusions that exceed the observed sample.

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• Comparing product discussions across social platforms
• Creating cited reports from supplied post exports
• Checking repost duplication and comment attribution

Design and refactor Python components with clear responsibilities and simple structure. Assess when to split large classes, combine objects instead of extending them, and extract shared code without introducing unnecessary abstractions.

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• Defining responsibilities for a new Python component
• Splitting oversized classes and functions
• Deciding when to extract shared code

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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• Assigning review areas for a code change
• Merging duplicate findings from multiple reviewers
• Aligning severity ratings across review reports

Consolidate established lessons from domain memory files into reusable agent instructions. Review proposed additions before merging, preserve details while reducing duplication, and remove merged entries from the memory file afterward.

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• Turn accumulated lessons into reusable instructions
• Consolidate overlapping guidance
• Maintain project-specific instructions

Build a central vulnerability dashboard with DefectDojo to combine scanner findings, remove duplicates, and track remediation. Includes Docker deployment, automated scan imports from CI/CD pipelines, Jira ticket integration, and API queries for reporting metrics.

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• Combining findings from multiple security scanners
• Importing scan results automatically from CI/CD pipelines
• Connecting vulnerability findings to Jira tickets

Clean up working code by identifying duplication, dead code, unnecessary layers, and error paths that hide failures. Preserve behavior with targeted tests, simplify the requested files in stages, and report verification results and remaining risks.

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• Simplify bloated or repetitive AI-generated code
• Remove unused code and unnecessary wrappers
• Review fallback paths that hide errors

Manage LinkedIn connection requests and follows with the Curviate CLI. Review pending invitations, preview actions, withdraw requests, and list connections or followers, with guidance on duplicate requests and delays before invitations appear.

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• Sending connection requests with a personal note
• Reviewing received invitations
• Withdrawing pending connection requests

Evaluate Vitest tests by the observable behavior and realistic regressions they protect. Guide new test authoring and review existing suites for duplication, dependence on implementation details, and code used only by tests, with evidence for retention or removal.

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• Checking the value of a new or changed Vitest test
• Finding overlapping tests that can be consolidated
• Reviewing tests that break during behavior-preserving refactoring

Maintain LangBot skill assets by organizing operating rules, reference guides, test cases, fixtures, and troubleshooting entries. Check existing material before adding files, keep detailed instructions in one place, and verify that indexes stay current.

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• Add a skill without duplicating existing guidance
• Organize reference guides and test cases
• Consolidate troubleshooting for shared causes

Research prospective customers from public sources, add company and contact details, score their fit, and merge duplicate records. Organize the findings into prioritized lead lists with source information, using CSV, JSON, or Markdown tables.

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• Find companies matching an ideal customer profile
• Add funding and hiring details to lead records
• Score prospects to set sales priorities

Review assigned code changes against project conventions, architecture, and intended behavior. Verify findings with source code and tests, classify their severity, and record a merge readiness verdict, with an optional deeper process for independent reviews and resolving disagreements.

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• Reviewing assigned code changes
• Checking duplication and inconsistent patterns
• Reviewing fixes that lack a written specification

Turn rough meeting notes, customer requests, and product ideas into structured backlog entries, a list of possible improvements. Capture who needs each idea and why, categorize it, and update matching entries with new evidence.

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• Capturing feature ideas after a meeting
• Recording requests from customers or sales
• Logging product gaps found in competitor research

Process SARIF files, a standard format for static analysis results, to filter alerts, remove duplicates, combine findings from multiple tools, and produce reports. It also supports comparing runs and integrating result checks into CI/CD pipelines.

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• Combine findings from multiple security scanners
• Filter alerts by severity and remove duplicates
• Compare earlier and current results for new issues

Add, extend, or review OpenAI Ads conversion tracking for purchases, signups, and other confirmed outcomes. The skill covers browser Pixel events, server-side Conversions API events, duplicate-event prevention, secret handling, and local verification with a setup report.

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• Add tracking for completed purchases and signups
• Send conversion events from a server
• Prevent duplicate counting across Pixel and CAPI

Guide code changes in iPolloWork by reusing existing implementations, limiting new files and dependencies, and keeping responsibilities clear. Review runtime costs, run focused checks, and audit the final changes for duplication and maintainability issues.

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• Checking for reusable code before implementing a feature
• Removing duplicate implementations during refactoring
• Reviewing the need for new files and dependencies