Claude Code is easy to misunderstand if it is presented only as “a chat that writes code”. Its real value appears when it is integrated with the repository, reads project instructions, runs repeatable tasks, and uses skills or specialised agents to work with more context. At that point, GitHub stops being just a place to store code and becomes a source of reusable procedures, reviews, automations and best practices.
For a technical profile, even someone who is not a full-time developer, the idea is powerful: download a repository, copy well-structured instructions and make Claude Code work with them inside a real project. You do not need advanced Git knowledge. But you do need to understand what you are installing, where it is placed and what permissions you are giving the agent.
Anthropic defines Claude Code as an agentic tool for working from the terminal, capable of understanding a codebase, editing files, running commands and relying on extensions such as skills, hooks, subagents and MCP. Skills, specifically, are organised as folders with a SKILL.md file, where instructions, metadata and context are described so Claude can use them when appropriate or when the user invokes them directly.
The .claude/ folder as the project’s operational layer
The simplest way to understand it is this: Claude Code works better when the project tells it how to behave. That context usually lives inside a .claude/ folder, with rule files, skills, agents and configuration.
A basic structure might look like this:
my-project/
├── .claude/
│ ├── CLAUDE.md
│ ├── skills/
│ │ ├── security-review/
│ │ │ └── SKILL.md
│ │ └── deploy-checklist/
│ │ └── SKILL.md
│ ├── agents/
│ │ └── code-reviewer.md
│ └── settings.json
├── src/
├── docker-compose.yml
└── README.mdCLAUDE.md works as the project’s operational memory: rules, common commands, architecture, conventions and boundaries. Skills are reusable procedures for specific tasks. Agents allow you to define specialised roles, such as a security reviewer, a documentation expert or a DevOps profile. settings.json controls configuration and permissions.
| Element | Function | Typical use in a technical environment |
|---|---|---|
CLAUDE.md | Stable project instructions | Conventions, test commands, architecture, change style |
skills/ | Reusable tasks | Auditing, deployment, documentation, security review |
agents/ | Specialised roles | Code reviewer, SRE, log analyst, infrastructure auditor |
settings.json | Configuration and permissions | Tool control, hooks, local behaviour |
SKILL.md | Core of each skill | Describes when to use it, what steps to follow and what resources to apply |
The key point is that a skill is not a magic extension. It is a written procedure. That makes adoption much easier, but it also means it must be reviewed carefully. If a file tells an agent to run commands, modify files or access sensitive information, it should be treated with the same caution as a script.
Git in five commands for working with skill repositories
GitHub becomes much less intimidating when reduced to a minimal workflow. To download collections, update them and save changes in your own project, five commands cover most of the work.
| Command | What it does | Example |
|---|---|---|
git clone | Downloads a repository | git clone https://github.com/gsd-build/get-shit-done.git |
git pull origin main | Updates the local repository | git pull origin main |
git add . | Stages changes to be saved | git add . |
git commit -m "message" | Creates a checkpoint | git commit -m "Add review skill" |
git push origin main | Uploads changes to GitHub | git push origin main |
The basic flow is: clone a repository, review its contents, copy what you need into .claude/, test it locally and save the configuration in your own repo. You do not need to copy everything. In fact, it is usually better to install less, but install it well.
git clone https://github.com/gsd-build/get-shit-done.gitCode language: PHP (php)Then, in your project:
mkdir -p .claude/skills
# Copy only the reviewed skill or folder, not the whole collection blindly
cp -R path/to/the/skill .claude/skills/Code language: PHP (php)And to open Claude Code inside the project:
cd my-project
claudeFour useful repositories to get started
The ecosystem around Claude Code is growing quickly. There are collections of skills, toolkits, review prompts and meta-prompting systems that help avoid starting from scratch. The practical recommendation is to use them as a reference, not as a massive download to install without review.
| Repository | What it offers | Best use |
|---|---|---|
gsd-build/get-shit-done | Meta-prompting system, context engineering and spec-driven development | Keeping focus in long tasks and reducing context loss |
sickn33/antigravity-awesome-skills | Broad library of skills for Claude Code and other coding agents | Exploring skills by category and adapting the useful ones |
rohitg00/awesome-claude-code-toolkit | Collection of agents, skills, commands, hooks, plugins and resources | Discovering patterns and tools from the Claude Code ecosystem |
dcarrero/awesome-code-review-prompts | Bilingual prompts for AI-assisted code review | Standardising security, performance, accessibility and quality reviews |
GetShitDone presents itself as a lightweight meta-prompting and context engineering system for Claude Code, OpenCode, Gemini CLI, Codex, Copilot and Antigravity. Its main goal is to reduce context rot, that loss of quality that appears when a long conversation starts mixing decisions, tasks and old details.
Antigravity Awesome Skills has a different focus: bringing together an installable skill library for coding assistants. It is useful for seeing how reusable instructions are packaged and what categories of tasks are being covered, from testing to documentation or security.
Awesome Claude Code Toolkit works more like a map of the ecosystem. It gathers links to agents, skills, hooks, MCPs, plugins and configurations. It is a good entry point for understanding what pieces exist, although it requires judgement to separate what is useful from what is experimental.
The dcarrero/awesome-code-review-prompts repository fits especially well for technical teams that want to improve AI-assisted reviews. Its description presents it as a collection of master prompts for Claude and other models to review code across security, performance, accessibility, usability and quality, with an agnostic approach and add-ons for multiple stacks.
How to turn a prompt into a useful skill
Many teams start by copying prompts into a document. That is normal, but it falls short. The interesting step is turning those prompts into reusable skills. For example, a security review prompt can become a skill called security-review, with criteria, steps, output format and clear limits.
A simplified SKILL.md example could look like this:
---
name: security-review
description: Review code changes looking for security risks, input validation issues, secret exposure, excessive permissions and bad practices.
---
# Security Review
Analyse the modified files and review:
1. Input validation.
2. Credential and secret management.
3. Access control and authorisation.
4. Injection risks.
5. Insecure dependencies.
6. Dangerous configurations.
Deliver the result in this format:
- Risk
- Affected file
- Severity
- Explanation
- Concrete recommendationCode language: PHP (php)The advantage is that the team no longer depends on each person remembering the right prompt. The instruction becomes versioned, reviewable and shared inside the repository.
For systems administration, the same idea can be applied to Terraform reviews, Docker Compose, Kubernetes, Bash scripts, Linux hardening, firewall rules, backups, monitoring or procedure documentation.
| Use case | Possible skill | Expected result |
|---|---|---|
| Review Terraform | iac-review | Security risks, costs, permissions and destructive changes |
| Review Docker Compose | compose-audit | Exposed ports, volumes, secrets, healthchecks |
| Audit Kubernetes | k8s-review | Resources, probes, namespaces, RBAC, limits and security |
| Review Bash scripts | shell-review | Errors, idempotency, security, failure handling |
| Document a service | service-docs | Technical README, architecture, commands and troubleshooting |
| Review performance | performance-review | Bottlenecks, queries, cache and resource usage |
Security: the point that cannot be skipped
The growth of skills also opens a new supply chain risk. A recent study on SKILL.md warns that skills are not passive documentation: their descriptions and instructions can influence which capabilities an agent discovers, selects and loads. The work analyses semantic attacks in the skill lifecycle and shows that apparently harmless metadata can manipulate discovery, selection and governance.
The conclusion for a tech publication is clear: installing skills from GitHub requires review. Not because every repository is dangerous, but because an agent with permissions can turn a malicious or poorly designed instruction into a real action.
| Risk | What can happen | Sensible measure |
|---|---|---|
| Hidden instructions | The skill asks for actions the user does not expect | Read the whole SKILL.md before using it |
| Dangerous commands | Deletion, overwriting or data upload | Test in trial repositories |
| Excessive permissions | The agent accesses more than necessary | Limit tools and review settings.json |
| External dependencies | Installation of unaudited packages or scripts | Avoid automatic execution without review |
| Massive collections | Redundant or conflicting skills are installed | Copy only what is needed |
| Lack of versioning | There is no easy rollback | Use Git and small commits |
It is also worth avoiding the trend of “installing 200 skills”. More is not always better. Too many instructions can overlap, generate contradictory answers or lead Claude to choose procedures that do not fit. A good setup is usually small, clear and aligned with the team’s real tasks.
Why this matters for systems and DevOps teams
The most interesting use case is not asking Claude to write an application from scratch, but integrating it into repetitive and review-heavy work. A systems team can use Claude Code to prepare deployment checklists, review infrastructure changes, document services, analyse errors, propose tests, review scripts or detect risky configurations.
A DevOps team can version its own procedures inside .claude/skills/ and make them part of the repository. That way, each project has its own rules, commands and reviews. Claude does not work with generic instructions, but with context from the environment.
This brings Claude Code closer to a more professional practice: AI-assisted infrastructure and operations, but with human control, traceability and review. The agent can accelerate tasks, but critical decisions remain with the team.
The difference between using Claude Code as a chat and using it as an engineering tool lies in that layer of procedures. GitHub provides the repository. .claude/ provides the context. Skills provide the method. And Git makes everything controlled, reviewable and reversible.
Frequently asked questions
Does Claude Code need GitHub to work?
No, but GitHub makes it much easier to reuse versioned skills, agents, prompts and configurations.
What exactly is a skill?
It is a folder with instructions, usually in a SKILL.md file, that Claude can use to perform a specific task consistently.
Can review prompts be used as skills?
Yes. A well-structured prompt can become a security, performance, accessibility, infrastructure or code quality review skill.
Is it safe to install skills from public repositories?
Only if they are reviewed first. A skill can influence the agent’s behaviour, so it should be treated as part of the project’s supply chain.
What does awesome-code-review-prompts provide?
A bilingual collection of prompts for AI-assisted code review, useful as a base for internal security, performance, accessibility and quality skills.