'projects' 검색 결과

Search GitHub, Stack Overflow, Hacker News, and HuggingFace for code examples, projects, technical answers, discussions, models, datasets, and Spaces. Filter supported searches and receive structured JSON results containing titles, links, and snippets.

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• Find code examples and open-source projects
• Search technical answers and GitHub Issues
• Explore developer news and discussions

Turn an existing .NET project into a reusable dotnet new template while preserving its settings and conventions. Create parameters and conditional content, test generated projects, and prepare the packaging files needed for NuGet distribution.

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• Turn an existing project into a reusable template
• Add template parameters and conditional files
• Validate template installation and generated builds

Introduce nullable reference types into an existing C# project, making explicit which references may be null. Plan a staged migration, resolve compiler warnings, and clarify public API annotations while preserving runtime behavior.

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• Adopting nullable reference types in an existing C# project
• Migrating a large codebase file by file
• Clarifying nullability in public APIs

Install a .NET SDK, the tools used to build .NET projects, inside a project folder. Configure version selection and shared setup scripts to test previews or reproduce team and CI environments without changing the system installation.

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• Trying a .NET preview without changing the system installation
• Pinning a project to a specific SDK version
• Creating repeatable setup scripts for teams and CI

Refactor C#/.NET code through renaming, extraction, consolidation, and other structural changes while preserving behavior. Check compatibility beyond code references, including public APIs and serialized names, then validate with builds and relevant tests.

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• Rename C# members and update their references
• Extract shared logic from duplicate code
• Reorganize code while preserving public API compatibility

Review custom dotnet new templates before publishing. Check required fields, parameter types and defaults, command name conflicts, and constraints, then receive findings grouped by severity with concrete fixes for errors and warnings.

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• Checking template.json before publishing
• Investigating templates missing after installation
• Reviewing parameter types and default values

Move existing .NET 9 projects to .NET 10 by updating project settings and dependencies, fixing build errors, and reviewing behavior changes. Includes CI and Docker updates, followed by builds, tests, and security checks.

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• Upgrading an existing .NET 9 project to .NET 10
• Fixing build errors and warnings after an SDK upgrade
• Reviewing ASP.NET Core and EF Core behavior changes

Move .NET tests from VSTest to Microsoft.Testing.Platform, the test execution platform. Update project settings, test commands, and CI pipelines for the selected SDK, then verify test counts and expected reports or diagnostic files.

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• Migrate .NET test projects from VSTest to MTP
• Update test commands in CI pipelines
• Translate xUnit.net v3 test filters

Diagnose MSBuild failures from an existing binary build log. Inspect errors, settings, project references, and execution details to explain failures that console output alone does not clarify, including failures across multiple projects.

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• Investigating build errors with unclear console output
• Tracing cascading failures across multiple projects
• Checking MSBuild target execution order

Investigate MSBuild failures caused by projects or build configurations writing to the same output folders. Compare build logs, output paths, and project settings to identify collisions behind overwritten files, restore errors, or failures that disappear on retry.

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• Investigate file access errors during parallel builds
• Find shared intermediate folders causing NuGet restore errors
• Check output paths when building for multiple frameworks

Diagnose why MSBuild builds across multiple projects fail to run efficiently in parallel. Use build logs and project dependencies to identify blocking chains, then recommend changes to references, scheduling, or parallel execution settings.

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• Investigate builds that do not get faster with -m
• Identify project dependency chains that delay builds
• Review whether graph builds fit a solution

Turn a large codebase spanning multiple repositories or services into a structured knowledge base. It documents architecture, business rules, and dependencies, links conclusions to source lines, labels confidence in relationships, and supports incremental updates.

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• Documenting architecture across multiple repositories
• Tracing service dependencies and business rules
• Updating a knowledge base after code changes

Set up Python projects and manage packages, isolated environments, and Python versions with uv. Includes migration guidance and lockfiles that record dependency versions, plus workflows for consistent installations in CI and Docker.

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• Setting up a new Python project
• Migrating from pip or Poetry to uv
• Keeping dependency versions consistent across environments

Manage work records in BB Tasks by reading task details and attachments, posting milestone updates, attaching results, and setting accurate statuses. It also supports organizing subtasks, moving tasks between projects, and linking active work threads.

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• Reviewing task details and attachments before starting
• Recording progress and attaching deliverables
• Updating review and completion statuses

Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.

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Generate GitHub Actions CI/CD pipeline configurations for automated building and testing of library and package projects. Use when creating or updating CI workflows for npm packages, Python packages, Go modules, Rust crates, or other library projects that need automated build and test pipelines. Includes templates for common package ecosystems with best practices for dependency caching, matrix testing, and artifact publishing.

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Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

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Use Godot 4.7 physics bodies and detection in 2D and 3D: RigidBody, StaticBody, Area, and CharacterBody; collision layers vs masks; contact/overlap signals; and raycasts (RayCast nodes and direct space-state queries). Use when configuring collision layers/masks, detecting overlaps with Area2D/Area3D, applying forces to a RigidBody, or casting rays in a Godot project (.tscn with physics bodies), including 3D projects running Jolt Physics, the default 3D engine for projects created in 4.6+.

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Build a smooth client-onboarding process that starts projects on the right foot — clear expectations, the info you need, and a professional first impression that prevents problems later. Use when asked to onboard a new client, create an onboarding process, kick off a client project, or client welcome packet. Produces a welcome and kickoff flow, the intake you need to start, expectation-setting on scope/comms/timeline/payment, a kickoff-meeting agenda, and the templates to reuse — so onboarding is consistent, not improvised, and prevents the scope and communication problems that sink projects.

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Designs software architecture and selects appropriate patterns for projects. Use when designing systems, choosing architecture patterns, structuring projects, making technical decisions, or when asked about microservices, monoliths, or architectural approaches.

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Work with Descript projects and async Underlord/agent jobs: list projects, submit publish jobs, poll job status. Trigger phrases: descript, video editing, publish video, descript project.

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Use whenever "project" or "matlab.toml" is mentioned in a MATLAB context. This includes creating, editing, organizing, or configuring MATLAB projects, declaring MATLAB package dependencies or reference projects, setting up paths, lifecycle scripts, shortcuts, MATLAB packages, or asking about project structure.

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Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android, Flutter, React Native). Covers UI (页面, 界面, 表单, dashboard, prototype, 原型); auth (登录, 注册, OAuth, publishable key); databases (NoSQL 文档数据库, MySQL 关系型数据库, PostgreSQL/CloudBase PG, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, security rules); 云函数/cloud functions (serverless, scf_bootstrap); CloudRun (云托管, Dockerfile); 云存储; built-in AI (内置大模型, AI 对话, streaming, 流式输出, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, Token Credits 资源包, 小程序成长计划); third-party/custom model onboarding (第三方大模型接入, 大模型调用, LLM API); AI agent (智能体, AG-UI, LangGraph); ops troubleshooting (巡检, 诊断, 日志); spec workflow (需求文档, 技术方案, requirements, tasks.md). Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends without CloudBase.

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Code review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls — auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse. Supports automated lint scripts (regex-based) + LLM semantic review.

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