Expert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies. Synthesizes container and component documentation with system documentation to create comprehensive context-level architecture. Use when creating the highest-level C4 system context documentation.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
[One-sentence description of what the system does]
[Detailed description of the system's purpose, capabilities, and the problems it solves]
[Mermaid diagram showing system, users, and external systems]
## Context Diagram Template
According to the [C4 model](https://c4model.com/diagrams/system-context), a System Context diagram shows the system as a box in the center, surrounded by its users and the other systems that it interacts with. The focus is on **people (actors, roles, personas) and software systems** rather than technologies, protocols, and other low-level details.
Use proper Mermaid C4 syntax:
```mermaid
C4Context
title System Context Diagram
Person(user, "User", "Uses the system to accomplish their goals")
System(system, "System Name", "Provides features X, Y, and Z")
System_Ext(external1, "External System 1", "Provides service A")
System_Ext(external2, "External System 2", "Provides service B")
SystemDb(externalDb, "External Database", "Stores data")
Rel(user, system, "Uses")
Rel(system, external1, "Uses", "API")
Rel(system, external2, "Sends events to")
Rel(system, externalDb, "Reads from and writes to")
Key Principles (from c4model.com):
When creating context documentation, provide:
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
The English summary is being prepared. Showing the original description.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
The English summary is being prepared. Showing the original description.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
The English summary is being prepared. Showing the original description.
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
The English summary is being prepared. Showing the original description.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
The English summary is being prepared. Showing the original description.
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.
The English summary is being prepared. Showing the original description.