Audit existing projects against AI-first design principles and automatically restructure them, or bootstrap new projects with AI-first architecture from the start.
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npx claudepluginhub techwolf-ai/ai-first-toolkit --plugin ai-firstifyOfficial TechWolf brand assets for AI-generated outputs. Provides logo files in multiple variants (dark, white, monochrome) as SVG and PNG.
techwolf-aiContent studio for managing thought leadership content with a visual editor, Claude Code skills, and utility scripts.
techwolf-aiAI-augmented management tooling for people managers. Surfaces the right context at the right time -- before meetings, during 1:1 prep, when triaging messages, or reviewing customer status. Adapts to your org's performance and management frameworks. Augments managers, never automates.
techwolf-aiTools for crafting, reviewing, analyzing, refining, and optimizing LLM prompts for clarity, precision, goal effectiveness, and token efficiency
doodledoodOfficial TechWolf brand assets for AI-generated outputs. Provides logo files in multiple variants (dark, white, monochrome) as SVG and PNG.
techwolf-aiDevsForge Enterprise Prompt Optimization Architect delivering strategic prompt engineering methodologies, AI interaction optimization, and communication excellence frameworks
devsforgeAI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
charlesjones-devAgentic engineering done right — 57 structured workflows, 17 specialist agent personas, persistent memory across sessions, integrated learning partner, and impeccable UI design system. Works with Claude Code, Windsurf, Cursor, Gemini CLI, OpenCode, and Codex.
FavioVazquezUse this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>
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