发现优质的 AI Agent 技能

Production deployment workflows and CI/CD best practices.

Safe, reversible database schema changes for production systems.

Agent-focused testing workflow for modern C++ (C++17/20) using GoogleTest/GoogleMock with CMake/CTest.

Comprehensive coding standards for modern C++ (C++17/20/23) derived from the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines). Enforces type safety, resource safety, immutability, and clarity.

Patterns for controlling LLM API costs while maintaining quality. Combines model routing, budget tracking, retry logic, and prompt caching into a composable pipeline.

A background agent that analyzes observations from Claude Code sessions to detect patterns and create instincts.

-Based Architecture An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - small learned behaviors with confidence scoring.

Automatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.

This is the v1.8+ canonical loop skill name. It supersedes `autonomous-loops` while keeping compatibility for one release.

Cache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves/renames and auto-invalidates when content changes.

Turn one idea into strong, platform-native content instead of posting the same thing everywhere.

An interactive, step-by-step installation wizard for the Everything Claude Code project. Uses `AskUserQuestion` to guide users through selective installation of skills and rules, then verifies correctness and offers optimization.