Clean Architecture and Cosmic Python guidance for well-tested, layered Python systems. Use for designing Python projects with layered architecture (models, adapters, services,…
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
Build and debug large codebases with an agent at a fraction of the token/Max cost — without losing productivity. Scope, retrieval, model routing, caching, verification, debugging.
Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.
Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization.
Use when reviewing Kubernetes manifests for cost optimization, resource right-sizing, or identifying over-provisioned workloads. Only triggers when K8s manifests are detected.
Get a help or a second opinion from other agents. Bundle a prompt and a curated file set, then ask other LLMs for advice (debug, refactor, design, ...).
Use for systematic debugging and root cause analysis with both Codex and Gemini. Triggers on "council debug", "council root cause", "have council investigate this bug", "council…
Execute a Carmack Council plan task by task. Use when explicitly asked to implement a plan, do a "council implement", "carmack implement", "council build", or invoke…
Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles.
Canonical reference for yellow-council CLI invocation, redaction, and output-parsing conventions. Use when authoring or modifying gemini-reviewer, opencode-reviewer, or the…
Route code reviews to appropriate council members. Use when reviewing PRs, architecture decisions, or significant code changes that need expert perspective.
Get parallel second opinions from multiple AI coding agents. Use when the user wants independent reviews, architecture feedback, or a sanity check from other AI models.
Expert in designing and structuring online courses - curriculum architecture, learning outcomes, module design, and assessment strategies.
Extends `Court.dart` with `factory fromMap`, snake_case DB keys aligned to `court_repository.dart`, `001_initial.sql`, and `/courts` responses.
Analyze test coverage gaps. Use when user says "test coverage", "what's not tested", "coverage gaps", "missing tests", "coverage report", or "what needs testing".
Ensure test coverage percentage is displayed in README.md for Next.js and Python projects following industry standards
CoVerify — commitment conservation verifier for MO§ES™. Extract commitment kernels, measure Jaccard similarity, detect ghost tokens, and classify commitment leakage.
Expert guidance on writing in Chamath Palihapitiya's communication style across 5 formats (Annual Letters, Customer Briefs, Emails, Policy Ideas Briefs, Learn with Me…
When the user wants to design CPG (Consumer Packaged Goods) distribution networks, optimize DC locations for retail distribution, or plan omnichannel fulfillment networks.
Drafts Corporate Practice of Medicine (CPOM) compliance structure documents for healthcare entities. Covers compliant organizational models (PC/PA, MSO, friendly PC), MSA…
Use when writing Python bindings for C++ HEP code with nanobind or pybind11: exposing a C++ class or function to Python, binding STL containers (vector, map), handling…
中文优先：用于C++codingstandards相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: C++ coding standards based on the C++ Core Guidelines (isocpp.github.io).
C++20 coroutines skill for understanding coroutine mechanics and debugging. Use when working with co_await, co_yield, co_return, implementing promise_type, understanding coroutine…
C++ development guidelines for modern C++17/20 projects. Use when creating C++ classes, functions, headers, or working with CMake, templates, smart pointers, RAII, memory…
C++20 modules skill for modern C++ projects. Use when working with named modules, module partitions, header units, CMake MODULE_SOURCES, Clang -fmodules-ts, BMI caching issues, or…
Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.
Advanced C++ testing patterns — parameterized tests, death tests, advanced gmock, matchers, test data factories, async/concurrent testing, CI/CD integration, Catch2, and…
AUTOSAR C++14およびCERT C++コーディング規約に準拠したC++14コードレビュー。安全性重視のC++システムのコードレビュー、セキュリティ監査、品質評価、静的解析ツール設定を行う際に使用。
Use when implementing Salesforce CPQ plugin interfaces in Apex or JavaScript (JS QCP) to customize quote calculation, product search, order creation, contracting, or configuration…
CPQ solution architecture covering bundle design, pricing engine performance, multi-currency strategy, and integration patterns.
Use when deploying Salesforce CPQ (Steelbrick/SBQQ) configuration between orgs — Product Rules, Price Rules, Price Actions, Price Conditions, Option Constraints, Quote Templates,…
Use when deploying Salesforce CPQ configuration between environments in a CI/CD pipeline — covers the required data record dependency order (Price Books > Products > Price Rules >…
Use when writing, reviewing, or debugging test classes for Salesforce CPQ (Steelbrick) functionality — including quote creation, price rules, contracting, ordering, and CPQ API…
Expert on K1810VM86 (Intel 8086) CPU architecture for ES-1841. Provides guidance on registers, instruction decoding, memory segmentation, interrupts, bus cycles, and x86-16…
Cpu Profiler Config - Auto-activating skill for Performance Testing. Triggers on: cpu profiler config, cpu profiler config Part of the Performance Testing skill category.
CQRS - Command Query Responsibility Segregation. Use when implementing DDD patterns, separating read/write models, event sourcing, or building scalable architectures with…
CQRS pattern, event stores, projections, eventual consistency. Activate on: CQRS, event sourcing, event store, read model, projection, aggregate, domain event, command handler.
CQRS (Command Query Responsibility Segregation) architecture guide for building features in React 19 + TypeScript + Zustand.
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event- — from…
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event- — from…
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event- — from…
CQRS (Command Query Responsibility Segregation) patterns with MediatR for .NET Clean Architecture projects. Covers commands, queries, handlers, validation, and pipeline behaviors.
Command Query Separation (CQS) and CQRS patterns for .NET. Use when designing methods, handlers, and application architecture. Ensures predictable, testable code.
Craft Cloud — Pixel & Tonic's serverless hosting platform for Craft CMS. Covers craft-cloud.yaml configuration, the Build → Migrate → Release deploy pipeline, the craftcms/cloud…
Craft professional README.md files for GitHub open source projects. Generates hero sections, installation instructions, feature tables, and architecture diagrams.
Analyze changed code for complex, under-tested functions using CRAP scoring; produce ranked refactor and test recommendations.
When the user wants to monitor, triage, or reduce their app's crash rate — including setting up Crashlytics, prioritizing which crashes to fix first, interpreting crash data, and…
Crash log analysis, symbolication, and debugging workflows for iOS apps. Use when investigating app crashes, analyzing crash reports, symbolicating stack traces, or identifying…
Parse and analyze macOS crash logs to identify crash causes and debugging information
Android Crash/ANR/結構化日誌的「實作層」 — Firebase Crashlytics 33.x、Custom Signals/OnFatalException、Android 14 ANR Watchdog（含 foreground threshold）、Memory Warning、Timber、Play Console +…
Run web crawling and scraping workflows with Crawl4AI, an open-source crawler built to produce LLM-ready markdown and structured extraction output.
Crawl4AI is an open source crawler and scraper built for LLM-ready web extraction, with structured markdown output, browser support, and Python package distribution.
为 Cloudflare Operator 开发新的 Kubernetes CRD。适用于创建新 CRD 类型、实现控制器或添加 Cloudflare API 集成。触发词："添加 CRD"、"新资源"、"实现控制器"。
Use when generating Kubernetes CustomResourceDefinitions from a typed schema source (zod / TypeBox / Valibot / json-schema).
Eine Blender-Szene programmatisch ueber Python (bpy) mit Objekten, Materialien, Beleuchtung, Kamera und Umgebungskonfiguration einrichten.
Create a new ABP.IO project using CLI commands with proper template selection, configuration, and setup.
Gerencia o ciclo de vida dos ADRs (Architecture Decision Records) no repositório. Executa arqueologia de software, análise de gaps, proposta de decisões e escrita de ADRs em…
Create Architecture Decision Records (ADRs) documenting strategic technical decisions while acknowledging ecosystem E(t) constraints.
Create a production-ready Google Cloud agent using ADK and Agent Starter Pack with CI/CD, deployment, and testing infrastructure