'duplication' 검색 결과

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

Find business logic repeated across software components, such as notifications, auditing, and validation. Compare responsibilities and dependencies, then recommend a shared service, shared library, or component merger with a prioritized consolidation plan.

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• Finding duplicate business logic before refactoring
• Reviewing whether notification components should be merged
• Identifying candidates for shared services or libraries

Build or repair game inventory and equipment systems, including item pickup, stacking, drag and drop, and saving. It guides transfers that fully succeed or leave state unchanged, accessible controls, and tests for item loss or duplication.

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• Build item pickup and stacking rules
• Fix item loss during equipment swaps
• Add keyboard and touch inventory controls

Sort open GitHub issues by category, risk, inactivity, and possible duplication. Examine selected reports in detail, identify missing information, and prepare comments, labels, or closures for user approval before taking action.

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• Sort accumulated bug reports and feature requests
• Check possible duplicates against open and closed issues
• Review inactive issues for follow-up or closure

Check code for complex logic, duplication, naming issues, and oversized functions. Get a quality report with file locations and severity levels, plus guidance on splitting complex code and extracting shared logic during reviews or after refactoring.

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• Checking code quality before a commit
• Reviewing code after refactoring
• Finding complex functions and duplicated code

Review test files or suites for missing checks, hidden exceptions, unreliable timing, shared state, and maintenance problems. Get a severity-ranked report with specific locations, explanations, and concrete suggestions for improving the tests.

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• Reviewing whether existing tests meaningfully check results
• Investigating timing and execution-order risks in tests
• Prioritizing test improvements before editing code

Review mock configurations in .NET tests by tracing the production code each test exercises. Identify unused, unreachable, duplicated, or replaceable setups, explain concrete fixes, and distinguish them from appropriate mocks for databases, HTTP clients, and other external services.

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• Finding unused or unreachable mock setups
• Consolidating duplicated mock configurations
• Reviewing ILogger and IOptions replacements

Collect papers across research databases, turn research questions into targeted search queries, remove duplicate records, and extract available PDF links. Useful for preparing systematic literature reviews, with database selection and access checks before retrieval.

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• Collecting papers across multiple research databases
• Turning research questions into database search queries
• Removing duplicate records and finding PDF links

Find related research by following a paper's references and the later papers that cite it through Semantic Scholar. Filters prioritize relevant candidates, avoid duplicate reviews, and record citation relationships for a focused literature search.

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• Finding related studies from a relevant paper
• Checking which papers cite a study
• Tracing earlier work through references

Simplify code, tests, documentation, and configuration while preserving required behavior. Use it during implementation or before handoff to remove duplication, reuse existing mechanisms, and validate that each remaining part serves a clear purpose.

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• Remove unnecessary complexity during implementation
• Consolidate working changes after tests pass
• Audit a full branch before handoff

Review changed code for duplication, quality, efficiency, and clarity. Use review-only mode for findings, or request behavior-preserving cleanup by the main agent, with focused tests or other validation when the chosen mode calls for it.

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• Check changed code for reuse opportunities
• Simplify redundant state and complex control flow
• Find duplicate reads and unnecessary computation

Cleans redundant comments, dead code, duplication, and unnecessary complexity from branch changes or selected files. Establishes passing regression tests first, then checks that cleanup preserves existing behavior and public APIs using the project's quality tools.

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• Cleaning up recent AI-generated code changes
• Simplifying redundant code in selected files
• Adding regression coverage before cleanup

Process large CSV and TSV files from the terminal with filtering, sorting, deduplication, grouping, and joins. The skill uses xan CLI, a command-line tool, for streaming workflows that keep memory use low.

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• Filtering rows in large CSV files
• Summarizing sales by category
• Removing duplicates and joining tables

Review specifications, plans, and tasks together before implementation. Identify missing task coverage, duplicate requirements, unclear wording, and conflicting decisions, then receive a prioritized report with recommendations without changing project files.

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• Reviewing specifications and plans before implementation
• Finding requirements with no corresponding tasks
• Checking compliance with project principles

Helps prepare video and image datasets with Cosmos Curator through splitting, filtering, deduplication, captioning, and embeddings, numerical representations for matching. Covers pipeline configuration, execution checks, Cosmos Dataset Search ingestion and search, and compatible handoffs to TAO data mining.

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• Splitting and filtering videos into training datasets
• Deduplicating data and packaging it into archives
• Adding captions and embeddings to images

Detect and merge wiki pages representing the same concept under different names. Use for page-identity deduplication and consolidation. Destructive merges require confirmation; not for link repair or general linting.

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[omh] Messy or AI-generated code to clean up: delete AI-generated slop, dead code, and duplication while observable behavior stays identical. Use when the user says: ai-slop-cleaner, cleanup, deslop, refactor, risky, behavior-preserving refactor, risk analysis, refactor workflow.

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Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.

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All-in-one read preprocessing with fastp including adapter trimming, quality filtering, deduplication, base correction, and HTML report generation. Use when preprocessing Illumina data and wanting a single fast tool instead of separate Cutadapt, Trimmomatic, and FastQC steps.

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Generate and interpret quality reports from FASTQ files using FastQC and MultiQC. Assess per-base quality, adapter content, GC bias, duplication levels, and overrepresented sequences. Use when performing initial QC on raw sequencing data or validating preprocessing results.

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Builds, runs, debugs, and operates event-driven applications using EventBridge Event Bus - a managed, centrally governed publish/subscribe event bus that an organization can share across many teams and accounts. Applicable when workloads need event-driven architectures, decoupling, choreography, asynchronous integration, pub/sub, fan-out, event ordering, delivered in sequence, event router, event broker, event bus, event store, event retention, event replay, deduplication, avro, protobuf, cloudevents, uses events or messages. Designed as a centrally managed event bus platform allowing governance and control - such as subscriber control, revocation, per-account throttling - while giving application owners flexibility across an organization spanning multiple accounts, with end-to-end open-standards observability and cost allocation. Also helps reduce costs in high fan-out scenarios where multi-account forwarding adds cost. A serverless, managed alternative to self-managed event streaming platforms.

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Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says "what does the wiki say about X", "ask wiki", "search wikis", or before drafting a new wiki page (to avoid duplication).

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Audit an area of the codebase and propose the smallest structural moves that improve it - untangle boundaries, kill duplication, fix seams, break cycles. Produces a prioritized plan and decision records, not a rewrite. Use when a codebase feels tangled, hard to change, or is becoming a ball of mud, or when asked to improve or refactor architecture.

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Analyze and process AssemblyAI pre-recorded and streaming webhooks with authentication, fast acknowledgment, deduplication, and safe retrieval. Use when implementing event-driven completion. Trigger with "AssemblyAI webhook" or "AssemblyAI callback".

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