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oss-veda ā AI-Powered Open Source Discovery Engine
What it does
oss-veda is a Claude Code plugin that helps developers discover, evaluate, and contribute to open source projects using native AI subagents. Instead of manually browsing GitHub, you just describe what you're looking for and oss-veda does the rest.
Technical Architecture
3 Skills: Discovery, Evaluation, Contribution mapping
5 Native Subagents: Each specialized for a different research task
2 Slash Commands: /discover and /evaluate
Distribution: Published via anuj-ai-tools marketplace repo
Runtime: uv + native Claude Code subagents
Key Highlights
š¤ Built on Claude Code's native subagent architecture
š Semantic OSS discovery beyond keyword search
ā” Distributed as an installable Claude Code plugin
š ļø Full agentic workflow ā search, evaluate, recommend in one command
š¦ Published to marketplace for other developers to use
Built For
Developers who want AI to handle OSS research so they can focus on building.
Stack: Python Ā· Claude Code Ā· uv Ā· GitHub API Ā· Anthropic API
#ClaudeCode #AIAgents #OpenSource #Python #LLM #AIEngineering #MultiAgent #DeveloperTools #AnthropicAPI #GitHub
The network for creativity
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Title:
I built a design system generator inside Figma Make. Here's the workflow.
The problem I kept running into: every new client project meant re-explaining the brand to every AI tool from scratch. Figma Make didn't know the colors. Cursor didn't know the tokens. Claude didn't know the rules. I was the shared memory ā and I kept losing things.
So I built Design System Gen. Entirely inside Figma Make. Powered by Claude API.
The workflow:
Upload brand references ā Claude API analyzes them across 8 dimensions (palette, mood, typography, composition, lighting, texture, motion, UI DNA) ā structured data, not vibes ā generates 11 files, each formatted for a specific tool in your stack.
figma-make.md ā paste once, Figma Make knows your entire design system
design-system.css ā all tokens as CSS custom properties
tokens.json ā W3C format, imports directly into Figma Variables
starter.tsx ā React starter with tokens already bound
.cursorrules ā Cursor knows your system from root
Claude.md ā Claude reads it automatically every session
+ 5 more for docs, LLMs, prompts, components
Every tool gets its own context file. All consistent with each other.
The part I'm most proud of: I'm a designer. I don't write code. The entire tool ā UI, API integration, file generation logic ā was built and shipped inside Figma Make. No external hosting. No separate codebase.
Live at:Ā vibecodingdsgen.figma.site
Add your Claude API key and try it with your own moodboard.
#FigmaMake #DesignSystem #VibeCoding #AI #Claude #UXUI #DesignSystems #ConfigMakeathon
As someone who constantly jumps between Figma, Claude, ChatGPT, Cursor, Lovable, and other AI tools, this problem feels very familiar š
The tools are getting smarter, but keeping context consistent is still surprisingly manual. Love seeing people tackle that gap.
Designed this hero section for @Raos Healthcare. āØ
The goal was to balance credibility + clarity + conversion while keeping the experience clean and easy to navigate.
šCheck it out here: https://raoshealthcare.com/
Drop aš§”if you like it.
The coral gradient and the doctor cut-out work well together for healthcare, trust signals without feeling clinical. How the product categories are floating around the hero adds context without cluttering the main message.
@VelocityAI is fully responsive across every screen size š¤āØ
Desktop, Tablet, Mobile.
It looks and performs beautifully on every device.
š Take a look: https://velocityai.framer.website/
The responsive demo shot across all three viewports is a smart way to showcase this. The dashboard layout holds up well at tablet breakpoint especially.
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