Contoso Chat
This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
Install with one command
$ npx skills add Azure-Samples/contoso-chatBest for
Coding agents
Discover skills for code generation, repository analysis, pull-request review, testing, debugging, and agentic software engineering.
Choose it when
- You want a GitHub-backed skill with 761 stars.
- You need a reusable install command for agents.
- You want to compare it with related marketplace skills.
Check before install
- Pushed 8mo ago
- License: MIT
- Review the repository README and examples.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Overview
This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 5/23/2026
- Published
- 5/23/2026
Frameworks & Tools
Author
Azure-Samples
@azure-samples
Tags
Platform Fit
Health Signals
- GitHub stars
- 761
- Quality score
- 43/100
- Last GitHub push
- Oct 3, 2025
- Framework hints
- 2
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: MIT
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