'unused' 검색 결과

Analyze AWS spending by service, region, and resource tags to find unused resources and oversized configurations. Get specific cost reduction recommendations, estimated savings, and guidance for budgets and ongoing cost monitoring.

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• Compare monthly AWS spending by service
• Find unused storage and idle instances
• Estimate savings from configuration changes

Review AWS spending and identify savings through resource sizing, unused resource cleanup, discount commitments, and storage policies. It also guides budget alerts and recurring cost reviews so teams can track spending and plan changes using usage data.

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• Investigating an unexpected AWS bill increase
• Preparing cost reviews with engineering and finance
• Comparing Savings Plans and Reserved Instances

Plan periodic access reviews for AWS IAM, GitHub, Okta, and other identity systems. Provides guidance for identifying unused access, assigning reviewers, documenting approval or removal decisions, and organizing evidence for compliance audits.

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• Planning periodic access reviews
• Reviewing inactive accounts and unused credentials
• Checking access against current job responsibilities

Helps add or update translations for the Apache Airflow interface. Covers language setup, translation file generation, consistent terminology, preserved variables and plural forms, and checks for missing, unfinished, or unused entries.

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• Adding a new interface language to Airflow
• Filling gaps in an existing translation
• Aligning terminology and preserving translation variables

Simplify Java methods and constructors by removing unused or redundant parameters. The skill adjusts definitions and internal calls, preserves existing functionality, and returns complete Java 17 code with comments explaining each removed parameter.

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• Remove unused parameters from Java methods
• Simplify constructor parameter lists
• Review parameters whose values are available elsewhere

Review a diffusers contribution before opening a pull request. Check the full change against project rules, trace potentially unused code, and receive a severity-based report separating required fixes from points to discuss with reviewers.

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• Checking a diffusers contribution before opening a pull request
• Investigating potentially unused code in a change
• Reviewing fixes again and preparing notes for reviewers

Find unused components, files, translation keys, and other unnecessary code across a codebase. Document every consumer and removal impact in a tracking issue, then turn one maintainer-approved candidate into a focused pull request.

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• Periodically checking for accumulated unused code
• Finding orphaned translation keys
• Recording removal candidates and their impact in an issue

Inventory feature flags, switches that control feature availability, and remove eligible flags with their unused code branches. Leave ongoing rollouts and experiments untouched, run verification checks, and prepare a pull request for human review.

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• Removing flags after a feature has fully rolled out
• Cleaning up unused flags and unreachable code branches
• Listing ongoing rollouts and experiments for human review

Review and simplify the ego-lite codebase by finding unused code, duplicated state, and unnecessary layers. The skill checks real callers and API requirements, explains behavior changes, and coordinates implementation, tests, and documentation updates.

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• Audit unused code and APIs
• Consolidate duplicated state or processing
• Review unnecessary compatibility layers

Review how you use Superset and identify unused features that fit your workflow. Get a short list of suggestions, learn about each option, and set up selected features such as scheduled agents, parallel workspaces, or shared tasks.

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• Find unused Superset features worth exploring
• Set up scheduled agent tasks
• Start parallel work in separate workspaces

Review the current codebase for ignored errors, embedded credentials, unused exports, and obvious type-safety gaps. Receive a report ordered by severity, with file and line references, while all source files remain unchanged.

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• Run a quick code quality review
• Check for embedded keys or passwords
• Find missing error handling and unsafe type usage

Analyze competitor ads from Meta Ad Library and Google Ads Transparency Center, organize their messages and formats, and compare them with your strategy to find unused angles and ideas for campaign tests.

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• Quarterly reviews of competitor advertising
• Finding unused angles before creative brainstorming
• Understanding advertising in a new market

Explore code through structured summaries of functions, calls, branches, and variable usage. Use the tldr commands to locate relevant files, trace change impacts, find affected tests, and identify potentially unused code before inspecting the implementation.

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• Understanding an unfamiliar codebase
• Tracing callers and the impact of a change
• Investigating bugs across multiple files

Verify that infrastructure code is connected to the system and actually runs. Trace execution paths, check hook registration and database configuration, and test the full workflow to identify unused code or duplicate implementations before declaring completion.

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• Checking that new infrastructure is actually invoked
• Verifying hook registration and configuration
• Confirming the intended database backend is used

Audit and reduce infrastructure and tooling costs without sacrificing reliability or velocity. Use this skill when reviewing monthly cloud or SaaS spend, finding unused resources, rightsizing infrastructure, negotiating vendor contracts, deciding what to consolidate, or planning for budget cuts. Triggers on cost optimization, cloud spend, SaaS spend, rightsizing, unused resources, FinOps, infrastructure audit, vendor consolidation, budget cut, cost review. Also triggers when finance flags rising costs or when a contract renewal is up.

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Find unused functions and dead code in the codebase

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Find and remove dead code (unused files, exports, class members) using Knip as a candidate generator, then verify each candidate through AST-level analysis and interface tracing before removing anything. Use when the user asks to clean up unused code, find dead code, or reduce the codebase.

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Dead code and dependency cleanup, repo-wide: unused deps, unreferenced exports, unreachable code, orphaned files — removed only with tool evidence, in reversible waves. Runs on green main. For diff-scoped cleanup use absolute-simplify. Triggers on "absolute prune", "remove dead code", "find unused deps/exports", "what can we delete", "clean up orphaned files".

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Finds orphaned, idle, and underutilized cloud resources across AWS, GCP, or Azure accounts. Use when someone needs to audit cloud spending, find unused EBS volumes, stale snapshots, unattached IPs, idle load balancers, or oversized RDS instances. Trigger words: cloud waste, orphaned resources, unused volumes, cloud audit, infrastructure cleanup, cloud bill analysis.

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AWS Cost Cleanup workflow skill. Use this skill when the user needs Automated cleanup of unused AWS resources to reduce costs and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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AWS Cost Cleanup workflow skill. Use this skill when the user needs Automated cleanup of unused AWS resources to reduce costs and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use Deptry when an agent needs to verify that a Python project's declared dependencies still match the imports the code actually uses. The agent scans the codebase, flags unused direct dependencies, missing declarations, and transitive imports that only work by accident, then turns the findings into cleanup commits or release blockers.

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Remove dead code, unused imports, fix lint warnings, and normalize formatting across a codebase without changing business logic or architecture. Use when lint warnings have piled up during rapid development, unused imports and variables clutter files, dead code paths were never removed, formatting is inconsistent, or static analysis tools report fixable hygiene issues.

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Two-agent cleanup pattern. Implementer works freely, then a dedicated cleanup agent removes unused imports, console.logs, commented-out code, dead code, and formatting issues. Produces a diff of what was cleaned.

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