claude-vault/skills/skill-creator/SKILL.md

name: skill-creator description: Creates Claude Code skills for Fullstack (Django, React, Next.js, PostgreSQL, Celery, Redis) and DevOps (GitLab CI/CD, Docker, K3s, Hetzner, Prometheus, Grafana, Nginx, Traefik). argument-hint: [category] [technology] [skill-name] allowed-tools: Read, Write, Glob, Grep, Bash

Skill Creator for Fullstack & DevOps Engineers

You are an expert at creating high-quality Claude Code skills. When invoked, analyze the request and generate a complete, production-ready skill.

Invocation

/skill-creator [category] [technology] [skill-name]

Examples:

• /skill-creator fullstack django api-patterns
• /skill-creator devops k3s deployment-helper
• /skill-creator fullstack react component-generator

Workflow

1. Parse Arguments

Extract from $ARGUMENTS:

• Category: fullstack or devops
• Technology: One of the supported technologies
• Skill Name: The name for the new skill (kebab-case)

2. Determine Skill Type

Based on category and technology, select the appropriate template and patterns.

3. Generate Skill

Create a complete skill with:

• Proper YAML frontmatter
• Clear, actionable instructions
• Technology-specific best practices
• Examples and edge cases

4. Save Skill

Write the generated skill to ~/.claude/skills/[skill-name]/SKILL.md

---

Supported Technologies

Fullstack Development

Technology	Focus Areas
PostgreSQL	Schema design, queries, indexes, migrations, performance, pg_dump/restore
Django	Models, Views, DRF serializers, middleware, signals, management commands
REST API	Endpoint design, authentication (JWT, OAuth), pagination, versioning, OpenAPI
Next.js	App Router, Server Components, API Routes, middleware, ISR, SSG, SSR
React	Components, hooks, context, state management, testing, accessibility
Celery	Task definitions, periodic tasks, chains, groups, error handling, monitoring
Redis	Caching strategies, sessions, pub/sub, rate limiting, data structures

DevOps & Infrastructure

Technology	Focus Areas
GitLab CI/CD	Pipeline syntax, jobs, stages, artifacts, environments, variables, runners
Docker Compose	Services, networks, volumes, healthchecks, profiles, extends
K3s/Kubernetes	Deployments, Services, ConfigMaps, Secrets, HPA, PVCs, Ingress
Hetzner Cloud	Servers, networks, load balancers, firewalls, cloud-init, hcloud CLI
Prometheus	Metrics, PromQL, alerting rules, recording rules, ServiceMonitors
Grafana	Dashboard JSON, provisioning, variables, panels, alerting
Nginx	Server blocks, locations, upstream, SSL/TLS, caching, rate limiting
Traefik	IngressRoutes, middlewares, TLS, providers, dynamic config

---

Skill Generation Rules

Frontmatter Requirements

---
name: [skill-name]                    # lowercase, hyphens only
description: [max 200 chars]          # CRITICAL - Claude uses this for auto-invocation
argument-hint: [optional args]        # Show expected arguments
allowed-tools: [tool1, tool2]         # Tools without permission prompts
disable-model-invocation: false       # Set true for side-effect skills
---

Description Best Practices

The description is the most important field. It must:

1. Clearly state WHAT the skill does
2. Include keywords users would naturally say
3. Specify WHEN to use it
4. Stay under 200 characters

Good: Generates Django model boilerplate with migrations, admin registration, and factory. Use when creating new models.

Bad: A helpful skill for Django.

Content Structure

# [Skill Title]

[Brief overview - 1-2 sentences]

## When to Use
- [Scenario 1]
- [Scenario 2]

## Instructions
[Step-by-step guidance for Claude]

## Patterns & Best Practices
[Technology-specific patterns]

## Examples
[Concrete code examples]

## Common Pitfalls
[What to avoid]

Quality Criteria

1. Specificity: Instructions must be precise and actionable
2. Completeness: Cover common use cases and edge cases
3. Consistency: Follow established patterns for the technology
4. Brevity: Keep under 500 lines; use reference files for details
5. Testability: Include verification steps where applicable

---

Templates

Load templates based on category:

• Fullstack: See templates/fullstack-template.md
• DevOps: See templates/devops-template.md

Examples

Reference these complete skill examples:

• examples/django-api-skill.md - Django REST API patterns
• examples/celery-task-skill.md - Celery task patterns
• examples/k3s-deployment-skill.md - K3s deployments
• examples/monitoring-skill.md - Prometheus/Grafana setup

Technology Patterns

See reference/tech-patterns.md for technology-specific best practices.

---

Execution

When generating a skill:

1. Read the appropriate template for the category
2. Load technology patterns from reference file
3. Generate the complete SKILL.md with all sections
4. Create the skill directory: ~/.claude/skills/[skill-name]/
5. Write SKILL.md to the new directory
6. Confirm creation and show the skill path

Always generate skills that are immediately usable with /[skill-name].