---
slug: "cc-skills"
source_type: "readme"
source_url: "https://cdn.jsdelivr.net/gh/lantelyes/cc-skills@main/README.md"
repo: "https://github.com/lantelyes/cc-skills"
source_file: "README.md"
branch: "main"
---
# Claude Code Skills

A collection of custom commands and skills for [Claude Code](https://claude.com/claude-code).

## Installation

### Commands (slash commands)

Symlink the `commands/` folder to your Claude Code commands directory:

```bash
ln -s /path/to/cc-skills/commands ~/.claude/commands
```

### Skills (auto-triggered)

Symlink the `skills/` folder to your Claude skills directory:

```bash
ln -s /path/to/cc-skills/skills ~/.claude/skills
```

This gives you all commands and skills at once, and `git pull` automatically updates them.

## Requirements

### codex-review
- [OpenAI Codex CLI](https://github.com/openai/codex) installed and configured

### measuring-pr-performance-impact
- `gh` CLI authenticated (`gh auth login`)
- `~/.dogrc` with Datadog credentials:
  ```
  apikey = your_api_key
  appkey = your_app_key
  ```

## Available Commands

### codex-review

Run OpenAI Codex CLI review against a base branch, verify findings, and summarize results.

**Usage:** `/codex-review` or `/codex-review main`

Runs `codex review --base <branch>`, then manually verifies each finding by examining code and tracing data flow. Produces a structured summary with severity levels (Critical, High, Medium, Low, False Positive).

## Available Skills

Skills are auto-triggered based on your request. They include bundled scripts for more reliable execution.

### measuring-pr-performance-impact

Measure how a PR affected GraphQL resolver latency using Datadog metrics.

**Triggers:** "measure PR 27416 performance", "how did PR 27416 affect performance?", "measure PR 27416 impact on portfolio resolver"

**Features:**
- Latency metrics (avg, p50, p90, p99) and request count
- Manual resolver specification or auto-detection from changed files
- Configurable time window (default 12h)