skills/codex/c4-context/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: c4-context description: Expert C4 Context-level documentation specialist. Creates --- # C4 Context Level: System Context ## Use this skill when - Working on c4 context level: system context tasks or workflows - Needing guidance, best practices, or checklists for c4 context level: system context ## Do not use this skill when - The task is unrelated to c4 context level: system context - You need a different domain or tool out
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/c4-contextInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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[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:
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grpo-rl-training description: GRPO reinforcement learning training with TRL. Use when applying Group Relative Policy Optimization for reasoning and task-specific model training. --- # GRPO/RL Training with TRL Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-r
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: graphql-architect description: Master modern GraphQL with federation, performance optimization, --- ## Use this skill when - Working on graphql architect tasks or workflows - Needing guidance, best practices, or checklists for graphql architect ## Do not use this skill when - The task is unrelated to graphql architect - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grafana-dashboards description: Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces. --- # Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Do not use this skill when - The task is unrelated
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: gptq description: GPTQ post-training quantization for generative models. Use when quantizing large models to 4-bit with calibration-based weight compression. --- # GPTQ (Generative Pre-trained Transformer Quantization) Post-training quantization method that compresses LLMs to 4-bit with minimal accuracy loss using group-wise quantization. ## When to use GPTQ **Use GPTQ when:** - Need to fit large models (70B+) on limited GPU