自然語言處理

Complete workflow for implementing data services and database architecture after the Implementer Agent has completed use cases. Provides rigorous step-by-step processes for making data service tests pass through pure database implementations, RLS policy optimization, and schema design. Use when implementing data layer, configuring Row Level Security, designing database schemas, or optimizing query performance. Mandatory Context7 consultation for latest Supabase best practices.

Securely retrieve secrets from 1Password using the 'op' CLI tool without displaying sensitive information. Use when working with API keys, tokens, passwords, SSH keys, database credentials, or any secrets stored in 1Password. All secret values are stored only in environment variables and NEVER displayed in output or context.

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.

Core context about Dieta Positiva project for all agents

Enterprise shadcn/ui Component Library with AI-powered design system architecture, Context7 integration, and intelligent component orchestration for modern React applications

Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context. Use this when design is complete and you need detailed implementation tasks for engineers with zero codebase context

Fetch Kit (ConvertKit) newsletter broadcasts for writing context. Use when asked to download newsletters, get past email content for style reference, or fetch broadcasts for analysis.

Analyze and optimize text for search engines. Execute Python script for detailed SEO analysis. Use when optimizing for keywords, search visibility, or content structure.

Calculates context-appropriate quality gate thresholds based on work type (Feature/Bug/Hotfix/Docs/Refactor). Ensures rigorous standards for features, pragmatic standards for hotfixes, and 100% test pass rate for all work.

Manage multi-project sprints with daily planning, progress tracking, and context switching. Use when coordinating work across multiple repositories.

Generate images using Google Gemini NanoBanana via browser automation. Use this skill for general-purpose AI image generation from text prompts. Includes persistent authentication, automatic environment setup, and reference image support for style matching.

Extract text and images from PDF files, analyze diagrams and architecture charts, and convert visual diagrams to Mermaid format. Use when the user wants to read, analyze, or convert PDF documents, especially those containing diagrams, flowcharts, or architecture visualizations.

Advanced text summarization and translation service with async processing capabilities. Use when users need to: (1) Summarize large text datasets from CSV/DataFrame, (2) Batch process text documents with length-based intelligent routing, (3) Translate shorter text content, (4) Configure custom processing parameters for text analysis workflows, (5) Handle text processing tasks requiring async operations for performance.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Create new ChatGPT Enterprise templates for the Kowalah marketing website following the established content collection schema. Use when the user requests to create a new template resource (policy, evaluation guide, deployment checklist, job description, or program framework) for the /resources/templates section.

Auto-loaded context for Portfolio Buddy 2 development. Use for ANY task involving: React 19 development, TypeScript, portfolio analysis features, metrics calculations, trading strategy comparison, or working with the Portfolio Buddy 2 codebase. Contains tech stack, known issues, and architectural constraints.

Extract structured knowledge from neurosurgical and spine surgery textbooks. Identifies anatomical structures, surgical procedures, complications, and clinical relationships. Use when processing medical PDFs, building surgical knowledge graphs, or creating clinical decision support content. Applies kaizen continuous improvement from prior extractions.

Encourages proactive use of GitHub CLI (gh) for gathering context on PRs, issues, comments, and repository information when working with GitHub-related tasks.

Skill providing structured iOS lane knowledge: SwiftUI vs UIKit/TCA/MVVM patterns, data stack choices, and OS 4.1 iOS standards. Uses context7 libraries for global guidance.

Enterprise context and session management with token budget optimization and state persistence