claude-code-skills
CLAUDE.md19 starsChanged 10 months agoMITView on GitHub
This is a Markdown-based documentation collection for Claude Code AI skills. It contains curated knowledge for Kubernetes platform engineering, Flux CD GitOps operations, and Helm chart management. Each "skill" is a self-contained documentation package that Claude Code instances can leverage when assisting with DevOps, platform engineering, and GitOps operations. This is not a software project - it is a documentation repository with no build process, tests, or compiled artifacts. Every skill directory follows this standardized format: SKILL.md - The main…
In this repository19 other files it gives its agents.
- cert-manager-troubleshootingSkill
- external-dns-troubleshootingSkill
- external-secrets-troubleshootingSkill
- flux-gitops-patternsSkill
- flux-operationsSkill
- flux-troubleshootingSkill
- helm-chart-developmentSkill
- helm-chart-maintenanceSkill
- helm-chart-reviewSkill
- helm-chart-testingSkill
- k8s-continual-improvementSkill
- k8s-dns-troubleshootingSkill
- k8s-namespace-troubleshootingSkill
- k8s-network-troubleshootingSkill
- k8s-platform-operationsSkill
- k8s-platform-tenancySkill
- k8s-security-hardeningSkill
- k8s-security-redteamSkill
- kyverno-troubleshootingSkill
The file
We split this CLAUDE.md into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 28
Every skill directory follows this standardized format:
- Distinctive: line 44
Adding/modifying skills: - Create or edit skill directories following the standard structure
- Distinctive: line 45
Updating README.md: - Add new skills to the appropriate section in the skills index
- Very specific: line 52
Every SKILL.md must begin with YAML frontmatter:
- Distinctive: line 65
Keep cross-references synchronized when renaming skills
- Distinctive: line 77
Use common variations and synonyms
- Distinctive: line 78
Avoid overly generic terms that cause false matches
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a Markdown-based documentation collection for Claude Code AI skills. It contains curated knowledge for Kubernetes platform engineering, Flux CD GitOps operations, and Helm chart management. Each "skill" is a self-contained documentation package that Claude Code instances can leverage when assisting with DevOps, platform engineering, and GitOps operations.
This is not a software project - it is a documentation repository with no build process, tests, or compiled artifacts.
Repository Structure
claude-code-skills/
├── README.md # Main project overview and skills index
├── CONTRIBUTING.md # Contribution guidelines
├── .github/workflows/ # CI/CD for security scanning
│ └── security-scan.yml
├── _shared/ # Shared reference materials
│ └── references/ # Common patterns referenced by multiple skills
└── [skill-name]/ # Individual skill directories
├── SKILL.md # Main skill documentation with frontmatter
└── references/ # Supporting materials (optional)Skill Structure
Every skill directory follows this standardized format:
SKILL.md - The main skill file with:
- YAML frontmatter containing
nameanddescription(used by Claude Code for skill activation) - Keywords section - Terms that trigger skill activation
- When to Use This Skill - Scenarios where the skill applies
- Related Skills - Cross-references to complementary skills
- Quick Reference - Common commands/patterns table
- Detailed Content - In-depth knowledge and examples
references/ - Optional supporting materials for additional context
Development Workflow
There is no build process. Development consists of:
- Adding/modifying skills - Create or edit skill directories following the standard structure
- Updating README.md - Add new skills to the appropriate section in the skills index
- Testing content - Manual verification by using skills with Claude Code
- Submitting PRs - Pull requests trigger automated security scanning
Key Conventions
SKILL.md Frontmatter
Every SKILL.md must begin with YAML frontmatter:
---
name: skill-name
description: Use when [scenario 1], [scenario 2], or [scenario 3]
---The description field is critical - it's what Claude Code uses to determine when to activate the skill.
Cross-Referencing
- Link to related skills using relative paths:
[skill-name](../skill-name) - Link to shared references:
[Shared: Topic](../_shared/references/topic.md) - Keep cross-references synchronized when renaming skills
Quick Reference Tables
Most skills include a "Quick Reference" section with common commands in a table format:
| Task | Command |
|------|---------|
| Task description | `command` |Keywords Section
Include comma-separated terms that uniquely identify the skill's domain:
- Use common variations and synonyms
- Avoid overly generic terms that cause false matches
Security Considerations
The repository has automated security scanning via GitHub Actions (.github/workflows/security-scan.yml) that runs on all PRs and pushes. It scans for:
- Secrets and credentials (TruffleHog)
- Personal information patterns
- API keys and tokens
- Internal/proprietary URLs
Content Domains
The skills cover three primary domains:
- Flux CD GitOps - Troubleshooting, operations, and architectural patterns
- Kubernetes Platform - Tenancy, operations, security (hardening & redteam), and continual improvement
- Helm Charts - Development, maintenance, and review
Related skills often cross-reference each other, as tasks in one domain frequently require knowledge from another.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

