“programming”的搜索结果

Systems programming from memory management through networking. Covers memory models (stack vs heap, manual allocation, garbage collection, ownership/borrowing), concurrency (threads, mutexes, channels, async/await, actor model, data races vs race conditions), operating system concepts (processes, virtual memory, page tables, system calls, file descriptors, signals), compilation (lexing, parsing, code generation, linking, static vs dynamic libraries), networking fundamentals (TCP/IP, sockets, HTTP, DNS, TLS), and the hardware-software boundary (caches, cache lines, false sharing, memory-mapped I/O). Use when working with low-level code, diagnosing system-level bugs, understanding performance characteristics, or bridging between high-level languages and machine behavior.

中文简介正在准备中。当前显示原文说明。

Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when the task involves `async Rust`, `Tokio patterns`, `Rust concurrent programming`, `async traits`, or `Rust futures and streams`.

中文简介正在准备中。当前显示原文说明。

Expert C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.

中文简介正在准备中。当前显示原文说明。

Verify a competitive programming or LeetCode solution for correctness, edge cases, and performance. Use when asked to "verify my solution", "check my code", "is this solution correct", "test my solution", "review my competitive programming answer", "validate my algorithm", or any solution verification request.

中文简介正在准备中。当前显示原文说明。

Solve competitive programming and LeetCode-style problems with educational explanations. Use when asked to "solve this problem", "help with this leetcode", "competitive programming solution", "solve this algorithm problem", "coding challenge solution", "how to solve this coding problem", or any algorithmic problem-solving request.

中文简介正在准备中。当前显示原文说明。

Assembly programming and low-level debugging skill for reading, writing, explaining, optimizing, and reviewing assembly across x86, x86-64, ARM, AArch64, RISC-V, calling conventions, ABI boundaries, inline assembly, disassembly, stack frames, registers, and binary-level behavior. Use for .s/.asm files, compiler output, reverse-engineering snippets, low-level performance, and crash analysis.

中文简介正在准备中。当前显示原文说明。

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming. Expert in the latest Rust ecosystem including Tokio, axum, and cutting-edge crates. Use PROACTIVELY for Rust development, performance optimization, or systems programming.

中文简介正在准备中。当前显示原文说明。

Declarative programming framework for optimizing LLM prompts through compilation and automatic tuning

中文简介正在准备中。当前显示原文说明。

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

中文简介正在准备中。当前显示原文说明。

Up-to-date Zig programming language patterns for version 0.17.0-dev (0.16.0 stable APIs plus the 0.17 deltas). Use when writing, reviewing, or debugging Zig code, working with build.zig and build.zig.zon files, or using comptime metaprogramming. Critical for avoiding outdated patterns from training data - especially std.net→std.Io.net (requires Io instance), std.time timestamps removed (use clock_gettime), std.Thread.Mutex/Condition/sleep removed (use pthreads), std.crypto.random removed, build system APIs (root_module, Compile methods→Module methods), I/O APIs (buffered writer pattern), container initialization (.empty/.init), allocator selection (DebugAllocator), ArrayList now unmanaged by default, @typeInfo lowercase fields (.@"struct" not .Struct), and removed language features (async/await, usingnamespace). Also covers 0.17.0-dev deltas: b.args→run_cmd.addPassthruArgs(), std.gpu→std.spirv, @bitCast logical-bit (endian-agnostic) semantics, build configurer/maker split, and the zig-pkg/ package directory. Also covers quality tooling Zig does not ship: coverage with kcov (and why in-file tests wreck the denominator), detecting unused private functions (neither the compiler nor zlint's unused-decls finds them), duplicate detection with jscpd, zlint (NOT the same-named X.509 linter in Homebrew), and the built-in fuzzer whose testOne now takes *std.testing.Smith rather than []const u8.

中文简介正在准备中。当前显示原文说明。

Expert-level algorithms and complexity theory covering sorting, searching, graph algorithms, dynamic programming, greedy algorithms, NP-completeness, and algorithm design paradigms.

中文简介正在准备中。当前显示原文说明。

Core technical, safety, and maintainability rules for codebase edits. Trigger when: - Writing code, refactoring, modifying files, or creating unit tests. - Proposing commits, reviewing git history, or auditing code quality. - Modifying files in any programming language (e.g. *.go, *.rs, *.py, *.ts, *.js, *.c, *.cpp). - Prompt contains keywords: refactor, build, compile, lint, test, git, commit, rule priority, type safety, error handling, defensive programming.

中文简介正在准备中。当前显示原文说明。

リポジトリの構造・技術スタック・機能一覧・セットアップ手順を動的に解析し、 包括的なドキュメントを自動生成するスキル。言語・フレームワーク問わず汎用的に動作する。 Use this skill whenever the user asks to: - Explain a repository / リポジトリの説明 / リポジトリの概要 - Generate a README / README生成 / README作成 - Understand project structure / プロジェクト構成を教えて / 構造を説明して - Learn how to run a project / 使い方を教えて / 動かし方 / セットアップ方法 - Get a repo overview / repo overview / explain this repo / what does this repo do - List features / 機能一覧 / このプロジェクトは何ができる？ - Onboard to a new codebase / コードベースのキャッチアップ / 新しいリポジトリに入った - "このリポジトリ何？" "プロジェクトの全体像" "how to run this project" - "コードの全体を把握したい" "ドキュメントを整備して" "技術スタックを知りたい" This skill is especially useful when joining a new project, onboarding team members, or when a repository lacks proper documentation. It works with ANY repository regardless of programming language, framework, or project type.

中文简介正在准备中。当前显示原文说明。

Expert en algorithmes (Big-O, dynamic programming, graphs, sorting, LeetCode patterns)

中文简介正在准备中。当前显示原文说明。

Expert Aider (AI pair programming, git integration, multi-model, architecture)

中文简介正在准备中。当前显示原文说明。

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

中文简介正在准备中。当前显示原文说明。

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

中文简介正在准备中。当前显示原文说明。

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.

中文简介正在准备中。当前显示原文说明。

编写C++通用模板函数，支持std::map和std::unordered_map作为通用容器传入，处理const正确性，支持可选的allocator模板参数，且禁止在函数内部构建临时对象。

中文简介正在准备中。当前显示原文说明。

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming. Expert in the latest Rust ecosystem including Tokio, axum, and cutting-edge crates. Use PROACTIVELY for Rust development, performance optimization, or systems programming.

中文简介正在准备中。当前显示原文说明。

阅读实际源代码，按项目规模编写或完善包含安装步骤与用法示例的README、API文档、架构图、开发者指南及变更日志。

• 编写含安装步骤与用法示例的README
• 记录公开函数、参数与返回值
• 为新开发者编写架构与贡献指南

Turn specifications into pseudocode, a language-independent outline of program logic. Define data structures, handle edge cases, analyze time and memory requirements, and document design patterns and optimization opportunities before implementation.

中文简介正在准备中。当前显示英语简介。

• Turning specifications into clear processing steps
• Comparing data structures and computational costs
• Planning error handling and edge cases before coding

Choose coding challenges matched to a learner’s level and goals within Flow Nexus. Validate submissions, review solution quality and efficiency, and track progress through rankings, achievements, badges, and challenge completion rewards.

中文简介正在准备中。当前显示英语简介。

• Finding coding challenges suited to a learner’s level
• Reviewing submitted solutions and improvement opportunities
• Tracking rankings, badges, and learning progress

Apply strict coding practices to Python, Rust, TypeScript, and Go projects. The skill guides typed errors, handling every variant, resource management, and tests that verify observable behavior, while prioritizing reuse and minimal changes.

中文简介正在准备中。当前显示英语简介。

• Implementing features with strict types
• Fixing bugs at their shared root cause
• Reviewing tests for observable behavior