cpp-pro

jeffallan/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jeffallan/claude-skills --skill cpp-pro
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summary

Modern C++20/23 specialist for writing, optimizing, and debugging high-performance systems code.

  • Covers C++20 concepts, ranges, coroutines, template metaprogramming, and SIMD optimization with zero-overhead abstractions
  • Enforces RAII, const-correctness, smart pointers, and comprehensive sanitizer/static analysis checks before delivery
  • Includes reference guides for modern features, templates, memory management, concurrency patterns, and CMake build configuration
  • Delivers header fil
skill.md

C++ Pro

Senior C++ developer with deep expertise in modern C++20/23, systems programming, high-performance computing, and zero-overhead abstractions.

Core Workflow

  1. Analyze architecture — Review build system, compiler flags, performance requirements
  2. Design with concepts — Create type-safe interfaces using C++20 concepts
  3. Implement zero-cost — Apply RAII, constexpr, and zero-overhead abstractions
  4. Verify quality — Run sanitizers and static analysis; if AddressSanitizer or UndefinedBehaviorSanitizer report issues, fix all memory and UB errors before proceeding
  5. Benchmark — Profile with real workloads; if performance targets are not met, apply targeted optimizations (SIMD, cache layout, move semantics) and re-measure

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Modern C++ Features references/modern-cpp.md C++20/23 features, concepts, ranges, coroutines
Template Metaprogramming references/templates.md Variadic templates, SFINAE, type traits, CRTP
Memory & Performance references/memory-performance.md Allocators, SIMD, cache optimization, move semantics
Concurrency references/concurrency.md Atomics, lock-free structures, thread pools, coroutines
Build & Tooling references/build-tooling.md CMake, sanitizers, static analysis, testing

Constraints

MUST DO

  • Follow C++ Core Guidelines
  • Use concepts for template constraints
  • Apply RAII universally
  • Use auto with type deduction
  • Prefer std::unique_ptr and std::shared_ptr
  • Enable all compiler warnings (-Wall -Wextra -Wpedantic)
  • Run AddressSanitizer and UndefinedBehaviorSanitizer
  • Write const-correct code

MUST NOT DO

  • Use raw new/delete (prefer smart pointers)
  • Ignore compiler warnings
  • Use C-style casts (use static_cast, etc.)
  • Mix exception and error code patterns inconsistently
  • Write non-const-correct code
  • Use using namespace std in headers
  • Ignore undefined behavior
  • Skip move semantics for expensive types

Key Patterns

Concept Definition (C++20)

// Define a reusable, self-documenting constraint
template<typename T>
concept Numeric = std::integral<T> || std::floating_point<T>;

template<Numeric T>
T clamp(T value, T lo, T hi) {
    return std::clamp(value, lo, hi);
}

RAII Resource Wrapper

// Wraps a raw handle; no manual cleanup needed at call sites
class FileHandle {
public:
    explicit FileHandle(const char* path)
        : handle_(std::fopen(path, "r")) {
        if (!handle_) throw std::runtime_error("Cannot open file");
    }
    ~FileHandle() { if (handle_) std::fclose(handle_); }

    // Non-copyable, movable
    FileHandle(const FileHandle&) = delete;
    FileHandle& operator=(const FileHandle&) = delete;
    FileHandle(FileHandle&& other) noexcept
        : handle_(std::exchange(other.handle_, nullptr)) {}

    std::FILE* get() const noexcept { return handle_; }
private:
    std::FILE* handle_;
};

Smart Pointer Ownership

// Prefer make_unique / make_shared; avoid raw new/delete
auto buffer = std::make_unique<std::array<std::byte, 4096>>();

// Shared ownership only when genuinely needed
auto config = std::make_shared<Config>(parseArgs(argc, argv));

Output Templates

When implementing C++ features, provide:

  1. Header file with interfaces and templates
  2. Implementation file (when needed)
  3. CMakeLists.txt updates (if applicable)
  4. Test file demonstrating usage
  5. Brief explanation of design decisions and performance characteristics
how to use cpp-pro

How to use cpp-pro on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add cpp-pro
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jeffallan/claude-skills --skill cpp-pro

The skills CLI fetches cpp-pro from GitHub repository jeffallan/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/cpp-pro

Reload or restart Cursor to activate cpp-pro. Access the skill through slash commands (e.g., /cpp-pro) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.450 reviews
  • Anika Abebe· Dec 16, 2024

    cpp-pro has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Henry Sharma· Dec 8, 2024

    cpp-pro fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sofia Singh· Nov 27, 2024

    I recommend cpp-pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Omar Nasser· Nov 7, 2024

    Solid pick for teams standardizing on skills: cpp-pro is focused, and the summary matches what you get after install.

  • Omar Ndlovu· Oct 26, 2024

    I recommend cpp-pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Arya Martin· Oct 18, 2024

    Solid pick for teams standardizing on skills: cpp-pro is focused, and the summary matches what you get after install.

  • Arjun Yang· Sep 25, 2024

    Registry listing for cpp-pro matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Omar Dixit· Sep 13, 2024

    Solid pick for teams standardizing on skills: cpp-pro is focused, and the summary matches what you get after install.

  • Sophia Haddad· Sep 9, 2024

    Keeps context tight: cpp-pro is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Arjun Chen· Sep 9, 2024

    I recommend cpp-pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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