Content & Writing

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Creates new projects in CCGG Business Operations with all required mechanisms automatically implemented.Ensures PARENT SYSTEM INTEGRATION, operations logging, strategic alignment, and cross-project intelligence are properly configured.Handles both simple projects (standard structure) and complex projects (with coordination hubs and dependency tracking).Use for: creating new incubator project, adding sub-project to CCGG, initializing project structure, setting up project coordination, ensuring PARENT SYSTEM INTEGRATION implemented, generating CLAUDE.md with all mechanisms, creating Active Projects Index entry.Trigger terms: create project, new project, initialize project, set up project, add sub-project, project structure, CCGG project creation.

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Domain vocabulary and entity relationships for {project}. Ensures consistent terminology and model understanding.

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Resources for conversational interviews to create learner profiles. Used by project-interviewer agent during /init.

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Load project architecture and structure knowledge. Use when you need to understand how this project is organized.

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Comprehensive project planning and documentation generator for software projects. Creates structured requirements documents, system design documents, and task breakdown plans with implementation tracking. Use when starting a new project, defining specifications, creating technical designs, or breaking down complex systems into implementable tasks. Supports user story format, acceptance criteria, component design, API specifications, and hierarchical task decomposition with requirement traceability.

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Research workflow patterns specific to {project}. Covers research agent coordination, source management, and synthesis strategies.

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Quick project setup with templates, best practices, and complete configuration for various framew...

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Set up project infrastructure including TypeScript, database, state management, navigation, and testing. Use when initializing new features or configuring development environment.

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Organize project folders following industry best practices. Use when setting up new projects, reorganizing codebases, or when folder structure becomes messy. Covers Next.js, Bulletproof React, and FSD patterns.

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Custom test patterns and fixtures for {project}. Covers E2E, integration, and specialized testing requirements.

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Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-based prompt engineering techniques. Applies structural optimization, self-consistency patterns, and anti-pattern detection to transform prompts into highly effective versions.

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Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.

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Expert prompt optimization for LLMs and AI systems. Use when building

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Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks.Use when you've executed similar prompts 2+ times and need to capture the pattern as reusableintelligence. NOT for one-off prompts or generic "ask AI a question" patterns.

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Convert design prototypes (HTML, CSS, Figma exports) into production-ready components. Analyzes prototype structure, extracts design tokens, identifies reusable patterns, and generates typed React components. Adapts to existing project tech stack with React + TypeScript as default.

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Best practices for structuring prpm.json package manifests with required fields, tags, organization, multi-package management, enhanced file format, eager/lazy activation, and conversion hints

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Run PostgreSQL queries and meta-commands via CLI

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Async/await patterns for FastAPI and SQLAlchemy. Use when working with async code, database sessions, concurrent operations, or debugging async issues in Python.

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FastAPI patterns for API design. Use when creating endpoints, handling dependencies, error handling, or working with OpenAPI schemas.

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Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.

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SQLModel and async SQLAlchemy patterns. Use when working with database models, queries, relationships, or debugging ORM issues.

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Async testing patterns with pytest-asyncio. Use when writing tests, mocking async code, testing database operations, or debugging test failures.

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Use this skill for requests related to Pydantic AI framework - building agents, tools, dependencies, structured outputs, and model integrations.

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Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage reports, (6) Testing FastAPI applications, (7) Debugging test failures, (8) Configuring pytest options. Triggers: "run tests", "write tests", "test coverage", "pytest", "unit test", "integration test", "test FastAPI".

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Guide for using pytest-mock plugin to write tests with mocking. Use when writing pytest tests that need mocking, patching, spying, or stubbing. Covers mocker fixture usage, patch methods, spy/stub patterns, and assertion helpers.

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Work with pytest-recording (VCR.py) for recording and replaying HTTP interactions in tests. Use when writing VCR tests, managing cassettes, configuring VCR options, filtering sensitive data, or debugging recorded HTTP responses.

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Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.

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Provides Python patterns for type-first development with dataclasses, discriminated unions, NewType, and Protocol. Must use when reading or writing Python files.

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CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.

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SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.

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FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.

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Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.

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pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.

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在沙盒环境中执行Python代码，用于数据分析、可视化和生成Excel、Word、PDF等文件。支持数据清洗、统计分析、机器学习、图表生成、文档自动化等复杂工作流。

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Python scripting with uv and PEP 723 inline dependencies. Use when creating

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Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, review Python code for style issues, refactor Python code, or provide Python programming guidance. Covers language rules (imports, exceptions, type annotations), style rules (naming conventions, formatting, docstrings), and best practices for clean, maintainable Python code.

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Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.

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Python virtual environment management, dependency handling, and project setup automation.

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PR作成前の品質保証チェックを実行します。Lint、テスト、ビルド、カバレッジ確認を自動で行い、合格/不合格を判定します。フロントエンドのみ、バックエンドのみ、または両方のチェックが可能です。

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Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolve formatter conflicts. Use when quality checks fail or before committing code.

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Generate comprehensive quality report with metrics and verification. Produces final CHAPTER_XX_VERIFICATION.md and quality_metrics.json for deployment approval.

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Automatically reviews DevPrep AI code for quality standards including ESLint compliance, TypeScript strict mode, 180-line file limits, complexity under 15, proper naming conventions, import patterns, and architectural compliance with the 6-folder structure

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Verify the final deliverable meets all quality criteria before delivery. Use as the final validation step to ensure the output meets the user's quality standards across all 6 dimensions.

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Analyze and optimize SQL queries for better performance and efficiency.

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Use when implementing new features in Quetrex. Ensures TDD, TypeScript strict mode, Next.js App Router patterns, ShadCN UI components, and security best practices are followed. Updated for November 2025 standards.

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Each project card should show the current month's API costs with a small trend indicator (up/down arrow).

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Generate 50-question interactive quizzes using the Quiz component with randomized batching.Use when creating end-of-chapter assessments. Displays 15-20 questions per session withimmediate feedback. NOT for static markdown quizzes.

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Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and package development. Use when Claude needs to write R code, create R packages, optimize R performance, or provide R programming guidance.

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Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search.

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Comprehensive React 19 patterns including all hooks, Server/Client Components, Suspense, streaming, and transitions. Ensures correct React 19 usage with TypeScript.

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Provides React patterns for hooks, effects, refs, and component design. Covers escape hatches, anti-patterns, and correct effect usage. Must use when reading or writing React components (.tsx, .jsx files with React imports).

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Use when creating UI components in React - functional components, hooks, custom hooks, or component composition patterns.NOT when backend logic, API routes, or non-React frameworks are involved.Triggers: "create component", "build widget", "KPI card", "form", "modal", "custom hook", "useContext", "useState", "useEffect".

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Build and manage React Native/Expo mobile apps including project setup, development workflows, and platform-specific guidance. Use when working on mobile app development, configuration, or running apps.

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Logging, error messages, and debugging patterns for React. Use when adding logging, designing error messages, debugging production issues, or improving code observability. Works for both React web and React Native.

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Performance optimization for React web applications. Use when optimizing renders, implementing virtualization, memoizing components, or debugging performance issues.

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Complex multi-step operations in React. Use when implementing flows with multiple async steps, state machine patterns, or debugging flow ordering issues. Works for both React web and React Native.

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Testing patterns for React with Jest and React Testing Library. Use when writing tests, mocking modules, testing Zustand stores, or debugging test failures in React web applications.

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Write developer-oriented README as onboarding documentation. Use when creating/updating README, setting up new projects, or when new developers need to understand the codebase quickly. README = Entry point + Architecture overview + Working agreement.

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Transfer knowledge from source domains to novel target situations through structural mapping. Use when facing new markets, products, or situations where past experience provides relevant patterns. Produces adapted solutions with explicit mappings and context adjustments.

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Execute evidence-based decision-making through 6-stage causal flow. Use for known processes, operational execution, and decisions with clear cause-effect chains.

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Extract patterns and generalizations from multiple observations. Use when detecting recurring themes, building predictive rules, or identifying systemic behaviors from accumulated data. Produces validated patterns with confidence bounds and exception handling.

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Implement ReasoningBank adaptive learning with AgentDB for trajectory tracking, verdict judgment, memory distillation, and pattern recognition to build self-learning agents that improve decision-making through experience.

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Master receipt scanning operations including parsing, debugging, enhancing accuracy, and database integration. Use when working with receipts, images, OCR issues, expense categorization, or troubleshooting receipt uploads.

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This skill helps you work with the receipt scanning tools in the nonprofit_finance_db project. It includes manual entry tools, automated OCR scanning, and database integration for tracking receipts...

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Helps add, edit, validate, and manage recipe data in recipes.js. Use this when the user wants to create new recipes, modify existing ones, fix recipe formatting, or validate recipe structure.

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Recover session state from memory-keeper after context loss.