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Arindam200Arindam200Community·5 Agent Skills Included

awesome-ai-apps

Ready-to-run LLM app examples, agents, and RAG projects

Provides 130+ ready-to-run example projects for building LLM-powered applications, including chat agents, voice assistants, RAG pipelines, and MCP integrations. Eliminates the blank-page problem of starting from scratch with working code for popular frameworks like Agno, LangChain, CrewAI, and OpenAI SDK. Helps developers learn patterns, copy proven setups, and ship working prototypes faster.
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npx skills add Arindam200/awesome-ai-apps --all -g -y
Available:

Tells your AI agent how the example projects are organized, how to install and run each one, and which architectural patterns and frameworks each category uses.

All Skills in This Repository (5)

Pure Emerald Level Indicators
📦 In Repo
Arindam200Arindam200

research

Orchestrates Deep Research server workflows to gather sources and compile research documents.

Community
Advanced
📦 In Repo
Arindam200Arindam200

research-and-write

Research a topic and generate a LinkedIn post via MCP servers.

Community
Advanced
📦 In Repo
Arindam200Arindam200

write-post

Convert guideline.md and research.md into LinkedIn post drafts via the LinkedIn Writer MCP server.

Community
Intermediate
📦 In Repo
Arindam200Arindam200

implement-universal

Orchestrate ticket-driven SWE and Tester phases with hand-off evidence.

Community
Advanced
📦 In Repo
Arindam200Arindam200

implement

Orchestrate a single workshop ticket from grooming to commit.

Community
Advanced

Frequently Asked Questions

FAQPage Schema
How to install awesome-ai-apps?▼

Run `npx skills add Arindam200/awesome-ai-apps --all -g -y` in your terminal to install all skills in this collection globally.

What can I build with awesome-ai-apps?▼

You can build chat agents, voice assistants, RAG document search apps, memory-enabled agents, and MCP-connected tools using 130+ working example projects.

Which AI frameworks do these examples cover?▼

The projects cover Agno, OpenAI Agents SDK, LangChain, LangGraph, CrewAI, LlamaIndex, PydanticAI, AWS Strands, Google ADK, and more.

Do I need API keys to run the examples?▼

Yes. Each project includes a .env.example file; copy it to .env and add keys such as NEBIUS_API_KEY or OPENAI_API_KEY before running.

Is awesome-ai-apps good for beginners?▼

Yes. It includes starter templates for every major framework plus a structured 8-lesson AWS Strands course that builds up from basic agents to multi-agent systems.

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