Content & Writing

by aiskillstore

Provides Playwright test patterns for resilient locators, Page Object Models, fixtures, web-first assertions, and network mocking. Must use when writing or modifying Playwright tests (.spec.ts, .test.ts files with @playwright/test imports).

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Control a Playwright browser via CLI - navigate, interact, and screenshot

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Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.

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Automatically activated when user works with Playwright tests, mentions Playwright configuration, asks about selectors/locators/page objects, or has files matching *.spec.ts in e2e or tests directories. Provides Playwright-specific expertise for E2E and integration testing.

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This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings", or wants to make plugin behavior configurable. Documents the .claude/plugin-name.local.md pattern for storing plugin-specific configuration with YAML frontmatter and markdown content.

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Automatically allocate and manage development server ports, avoiding port conflicts between multiple Claude Code instances

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Update repository documentation after code implementation. Maintains README, CHANGELOG, docs/ folder, and inline docstrings based on changes made. Triggered by lane-executor after task completion.

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PostgreSQL patterns for reviewing migrations and writing efficient queries. Use when reviewing Alembic migrations, optimizing queries, or debugging database issues.

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High-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.

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Develop PowerShell scripts, tools, modules, and GUIs following Microsoft best practices. Use when writing PowerShell code, creating Windows Forms/WPF interfaces, working with PowerShell Gallery modules, or needing cmdlet/module recommendations. Covers script development, parameter design, pipeline handling, error management, and GUI creation patterns. Verifies module availability and cmdlet syntax against live documentation when accuracy is critical.

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Enterprise-grade PowerPoint deck generation system using evidence-based prompting techniques, workflow enforcement, and constraint-based design. Use when creating professional presentations (board decks, reports, analyses) requiring consistent visual quality, accessibility compliance, and integration of complex data from multiple sources. Implements html2pptx workflow with spatial layout optimization, validation gates, and multi-chat architecture for 30+ slide decks.

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PR作成Skill。仕様レビュー用または実装レビュー用のPRを作成。/spec や spec-workflow から呼び出される。

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Guide for creating comprehensive PR descriptions with proper structure, diagrams, and documentation for code reviews.

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Prepare pull request descriptions following project template. Activates on: prepare PR, create PR, pull request, ready for PR, draft PR, write PR

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Generate comprehensive pull request descriptions that help reviewers understand changes quickly a...

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Transform PRDs (Product Requirements Documents) into structured XML app specifications optimized for AI coding agents. Converts developer-focused docs with code examples into declarative agent-consumable format. USE WHEN user says "convert PRD", "generate app spec", "transform PRD", "create specification from requirements", or wants to prepare a PRD for agent consumption.

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Pre-sales intelligence system. Ingests incoming emails, analyzes sender context, clusters related conversations, detects business opportunities, builds relationship timelines, and surfaces high-potential prospects for outreach.

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コミット前品質チェックスキル（Lint、テスト、ビルドの高速検証）

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Provides development principles, guidelines, and VibeCoder guidance. Use when user mentions 原則, principles, ガイドライン, guidelines, VibeCoder, 安全性, safety, 差分編集, diff-aware. Triggers: 原則, principles, ガイドライン, VibeCoder, 安全性, 差分編集. Do not use for actual implementation - use impl skill instead.

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Expert guidance for Prisma ORM v7 (7.0+). Use when working with Prisma schema files, migrations, Prisma Client queries, database setup, or when the user mentions Prisma, schema.prisma, @prisma/client, database models, or ORM. Covers ESM modules, driver adapters, prisma.config.ts, Rust-free client, and migration from v6.

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Comprehensive knowledge about Linux privilege escalation. Provides methodologies for enumerating and exploiting privesc vectors including SUID binaries, sudo permissions, capabilities, kernel exploits, cron jobs, and common misconfigurations. Includes systematic approach to capturing root flags.

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Comprehensive pre-deployment validation ensuring code is production-ready. Runs complete audit pipeline, performance benchmarks, security scan, documentation check, and generates deployment checklist.

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Verwandelt den Agenten in einen professionellen MV3-Architekten und Entwickler mit Fokus auf AI-Integration, Sicherheit, Performance, Testing und Publishing-Compliance.

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Overview of the project's tech stack, directory structure, and architectural patterns.

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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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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.