Pixel Agents: 24 Specialized Claude Agents for Code, Site, and Resume Reviews
Pixel Agents is a collection of 24 specialized AI agents built using the Claude API, each designed for specific tasks with tuned personalities and structured output. Instead of a general chatbot, these agents provide focused functionality with direct feedback.
Key Agents and Functions
The system includes several "roast" agents that provide critical analysis:
- Roast My Site: Analyzes URL content, evaluates UX, SEO, copy, and accessibility with a 0-100 score
- Code Roast: Reviews code snippets for anti-patterns and bad practices
- Resume Roast: Provides ATS compatibility scoring, section-by-section critique, and rewrite suggestions
- Roast My LinkedIn: Rewrites headlines and about sections
- Startup Obituary: Analyzes startup ideas and predicts failure modes
Other notable agents include:
- Debate Me: Builds counter-arguments to stated opinions and scores both sides
- Legal Eagle: Translates contract legalese into plain English and identifies red flags
- Hivemind: Provides Reddit pulse checks on topics using Brave Search
- Site Glow-Up: Analyzes sites and generates redesign mockups using Claude analysis and Gemini image generation
Technical Implementation
All 24 agents run on Claude Sonnet 4.6 via the API. Each agent has:
- A tuned system prompt with specific persona
- Structured JSON output schema (scores, verdicts, lists, tags)
- Temperature settings matched to tasks: 0.5 for Legal Eagle (accuracy), 1.0 for Name Storm (creativity), 0.9 for roast agents (balanced)
Some agents integrate additional services:
- Brave Search API for live web data (Signal, Hivemind, Buzz Check, Hype Check)
- Gemini 2.5 Flash for image generation (Vibe Check, Fridge Raid, Site Glow-Up)
Claude handles all reasoning and structured output generation.
Agent Forge Builder
The project includes Agent Forge, a visual drag-and-drop builder where users can create custom agents by selecting components: identity, input configuration, prompt, output schema, and powers. Submissions go through an AI quality gate where Claude scores quality, uniqueness, and safety before appearing in the community catalog.
The system is free to try with 3 runs per day, no signup required. Image generation agents cost 2 runs instead of 1.
📖 Read the full source: r/ClaudeAI
👀 See Also
Claude Code: How to Connect Your AI-Built Frontend to a Real Backend
Claude Code builds polished frontends but often uses hardcoded data. Here are four ways to connect it to real backends: raw APIs, SDKs, CLIs, and MCP.
CostHawk Launches Public Leaderboard for Claude Code, Codex, and Cursor Token Consumption
CostHawk’s leaderboard ranks public users of Claude Code, OpenAI Codex, and Cursor by total token consumption, tracking counts, models, and sync timestamps without storing prompts or code.
JANG Quantization Method Improves MLX Performance for Large Models
A new quantization method called JANG enables running large models like MiniMax-M2.5 and Qwen 3.5 on Apple's MLX framework with significantly better performance than standard MLX quantization, achieving near-native speeds while maintaining accuracy comparable to higher-bit quantizations.
vllm-mlx fork adds tool calling and prompt cache for local AI coding agents
A developer has modified vllm-mlx to fix tool calling issues and add prompt caching, reducing TTFT from 28s to 0.3s for OpenClaw on Apple Silicon. The fork supports Qwen3-Coder-Next at 65 tok/s on M3 Ultra with working function calling.