---
title: "Features"
description: "ClaudeFlow's full feature set: development workflows, growth playbooks, and quality assurance systems for Claude Code."
source: "https://claudeflow.so/features/"
---

## Ship production-quality code faster

Specialized agents and workflows for every stage of the development lifecycle.

### Context-Optimized Agents

Each agent ships with a purpose-built CLAUDE.md that primes Claude Code with the exact context it needs. No setup friction — just drop in and run.

### Code Review Workflow

Automated code review that checks for patterns, security issues, performance anti-patterns, and style consistency — with a structured report every time.

### Test Generation Playbook

Generate unit, integration, and e2e tests from existing code. The agent understands your stack and writes tests that actually catch bugs.

### Architecture Decision Templates

Structured ADR templates with Claude Code integration. Document decisions, tradeoffs, and rationale with consistent, searchable formats.

## Systematic distribution without a team

Marketing and growth automation built for founders and small teams who need to punch above their weight.

### Content Creation Pipeline

From brief to published: research, draft, edit, and optimize content with Claude Code. Consistent voice and brand across every piece.

### SEO Playbooks

Keyword research, content briefs, on-page optimization, and internal linking strategies — all orchestrated with Claude Code as the execution engine.

### Outbound Campaign Templates

Cold email sequences, LinkedIn outreach, and follow-up playbooks with measurable response rate tracking built in.

### Launch Campaign Automation

Coordinate Product Hunt launches, press outreach, social distribution, and community posts with a single orchestrated playbook.

## Verifiable outcomes, every time

Built-in quality assurance that proves your AI workflows are actually working.

### QA Scorecards

Structured pass/fail criteria for every deliverable. Know exactly what "done" looks like before you start — and prove it when you finish.

### Evidence Logging

Every workflow run produces a structured evidence log: inputs, outputs, decisions made, and quality scores. Reviewable, searchable, shareable.

### Iteration Loops

Built-in feedback and revision cycles that catch issues early. Run-review-refine loops that converge on quality without manual babysitting.

### Outcome Measurement

Track what actually matters: pass rates, time saved, quality scores. Data-driven proof that your AI workflows are working.