“dependencies”的搜索结果

Diagnose and fix rad-mem installation issues. Checks PM2 worker status, database integrity, service health, dependencies, and provides automated fixes for common problems.

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Guide architecture analysis and decision records. Use for ADRs, tradeoff review, boundaries, dependencies, data flow, and LocalSetup-compatible design decisions.

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Install, verify, and operate mdoctor on macOS and Debian/Arch-based Linux. Use when users ask to set up mdoctor, install dependencies, test branch builds on the current machine, run first health checks, troubleshoot install/runtime issues, or perform safe cleanup/fix workflows with mdoctor commands.

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Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

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Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.

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Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

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You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues,...

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Expert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies.

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Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure.

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Derive slices from specs, order by dependencies, write acceptance criteria with citations, and finalize phase/progress artifacts

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Decompose approved architecture design into IA shards and layered spec structure, then validate dependencies and tracking outputs

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Validate shard load/dependencies, create deep-dive skeletons, update ledger assignments, and generate pipeline tracker

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Turns data/commitments.jsonl (flat list) into a who-owes-what-to-whom graph. Surfaces overdue chains and cross-PA dependencies that the flat list hides. Triggers: "what's overdue", "what did X promise", "commitment graph", "who's blocking whom".

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Use when working with Device42 — device42 IT infrastructure management covering data center infrastructure management (DCIM), application dependency mapping, IP address management, and asset lifecycle tracking. Use when documenting data center rack layouts and power chains, mapping application dependencies and communication flows, managing IP address allocation and subnets, or tracking hardware assets from procurement through decommission.

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Use when working with Cocoapods — cocoaPods dependency management for iOS/macOS. Covers Podfile configuration, pod publishing, dependency resolution, spec repositories, and pod analysis. Use when managing CocoaPods dependencies, publishing pod specs, resolving version conflicts, or analyzing pod dependency trees.

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Use when working with Cloudformation Deep — aWS CloudFormation deep stack management. Covers stack operations, change sets, drift detection, nested stacks, stack sets, resource imports, template analysis, and rollback troubleshooting. Use when managing complex CloudFormation deployments, debugging stack failures, detecting drift, operating stack sets, or analyzing template dependencies.

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Use when working with Aws Cdk — aWS CDK infrastructure-as-code management. Covers synth, diff, deploy, bootstrap, context values, construct inspection, and stack dependencies. Use when managing CDK applications, reviewing synthesized templates, comparing deployments, or debugging construct issues.

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Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.

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Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking.

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Review Jupyter notebooks for side effects, dependencies, and safe execution strategy before running or editing them.

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Scope the real change surface before editing. Use when planning a feature, bugfix, refactor, or review and you need a concrete map of likely touch points, dependencies, tests, and nearby risks.

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Run a security sweep over one repo: secrets, dependencies and the diff, a security review and a silent-failure hunt, one deduped and ranked findings report, issues filed for blocking findings only after GO, each one handed to pb-bug-fix. Use for "security sweep", "audit this repo", "check for leaked secrets and vulnerable deps".

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Use when facing 2+ independent tasks — "in parallel", "independent tasks", "multiple unrelated failures", "different test files or subsystems" — that can be worked on without shared state or sequential dependencies. Dispatch one agent per independent slice, each with only the context it needs, even when the user did not ask for subagents explicitly.

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Audit Xcode project configuration, build settings, scheme behavior, and script phases to find build-time improvements with explicit approval gates. Use when a developer wants project-level build analysis, slow incremental builds, guidance on target dependencies, build settings review, run script phase analysis, parallelization improvements, or module-map and DEFINES_MODULE configuration.

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