Shipfast
Plugins, skills, and coding resources by Noah Rasheta -- hosted at shipfast.cc
I'm a podcast host with a bunch of side businesses and projects. I build Claude Code plugins, skills, and agents to automate the things I do repeatedly. This repo is where all of that lives -- open source, for anyone to use, fork, or build on.
The stuff here spans many domains because my work does too. Data infrastructure, automations, prompt engineering, content workflows, and whatever I'm tinkering with next. The common thread is Claude Code and agentic AI.
Quick Start
Add the marketplace and install any plugin:
/plugin marketplace add noahrasheta/shipfast
/plugin install <plugin-name>@shipfast
Plugins
| Plugin | What it does | Command |
|---|
| create-prd | AI-optimized PRD generation through guided brainstorming | /create-prd |
| create-image | AI image generation with multi-agent pipeline | /create-image |
| human-writing | Write text that reads as human, not AI | /human-writing |
| dc-due-diligence | Data center site analysis across 9 domains | /due-diligence <folder> |
create-prd
Turn a product idea into a comprehensive, AI-agent-optimized Product Requirements Document through guided conversation. Invoke /create-prd and the skill acts as a brainstorming partner -- asking one question at a time, adapting to your technical level, and producing a PRD that any AI coding tool can build from.
What it does:
- Detects your technical level and adapts questioning accordingly (plain language for non-technical founders, direct stack questions for developers)
- Runs a 7-phase conversation: Vision & Context, Technical Assessment, Features & Scope, User Experience, Business Context (optional), Generate PRD, Refine
- Produces a structured PRD with: executive summary, problem statement, user stories with testable acceptance criteria, MVP feature scope, user flows, tech stack, data models, UI/UX requirements, non-functional requirements, explicit out-of-scope list, risks, implementation phases, and environment setup
- Validates the PRD against a 6-point quality checklist before delivering
- Includes bundled reference material on AI-optimized PRD best practices and a complete sample PRD
Works with: Claude Code, Cursor, Windsurf, Lovable, GSD (/gsd:new-project --auto @PRD.md), Director, Conductor, or any LLM-based builder.
Usage:
/create-prd
The skill will start a guided conversation to understand your product idea and generate the PRD.
Status: v1.0.0 -- initial release. Conversational PRD generation with adaptive technical assessment.
create-image
AI image generation using the PaperBanana agentic framework with Nano Banana Pro (Gemini 3 Pro). Invoke /create-image and a team of specialized agents handles the rest -- from analyzing reference images to generating 5 variants and ranking them.
What it does:
- Asks structured clarifying questions about what you want (subject, style, mood, aspect ratio, resolution, reference images, etc.)
- Spawns 4 agents in a sequential pipeline: Research Agent, Prompt Architect, Generator Agent, Critic Agent
- Generates 5 image variants (Faithful, Enhanced, Alt Composition, Style Variation, Bold/Creative)
- Critiques each image on 4 dimensions from the PaperBanana paper (Faithfulness, Readability, Conciseness, Aesthetics)
- Presents ranked results with a top recommendation and offers iteration
Based on: PaperBanana (Google Cloud AI Research & Peking University) -- a multi-agent framework that outperforms single-shot image generation by +17% overall.
Prerequisites:
pip install google-genai Pillow python-dotenv
Add your Gemini API key to a .env file in the project where you'll run the plugin:
GEMINI_API_KEY=your-key-here
Get an API key from Google AI Studio.
Usage:
/create-image
Or with an initial description:
/create-image an infographic about global coffee consumption in the style of Visual Capitalist
Generated images are saved to a shipfast-images/ folder in your project directory for easy access.
Status: v0.1.0 -- initial release. Core pipeline functional.
human-writing
Write text that reads as human-written, not AI-generated. Based on Wikipedia's "Signs of AI writing" field guide and a comprehensive anti-AI writing guide, this skill knows exactly which vocabulary, structures, and formatting patterns mark text as machine-generated -- and avoids all of them.
