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.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Azure-Samples/contoso-chat
Maintenance
stable
10mo since push
Risk
Needs review
Quality score needs review
GitHub quality
762
68/100 quality · 77/100 trust
Coverage tags
Review notes
Quality score needs review · Needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
762 GitHub stars
Repo activity
762 stars, 4.0K forks
Maintenance
10mo since push
License
MIT
Install
npx skills add Azure-Samples/contoso-chat
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Azure-Samples/contoso-chatDo not use when
Alternative
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Alternative
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Alternative
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add Azure-Samples/contoso-chatAgent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Contoso%20Chat%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Contoso%20Chat%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/azure-samples-contoso-chat/install
Agent should check
Copy prompt
Task: Use Contoso Chat in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Contoso%20Chat%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/azure-samples-contoso-chat/install
Install command: npx skills add Azure-Samples/contoso-chat
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/azure-samples-contoso-chat/install
LLM text format
/api/skills/azure-samples-contoso-chat/install?format=text
Find alternatives
/api/skills/search?q=Contoso%20Chat&limit=3
Agent prompt
Use Contoso Chat for this task. Review https://www.openagentskill.com/api/skills/azure-samples-contoso-chat/install, then install with: npx skills add Azure-Samples/contoso-chatRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/azure-samples-contoso-chat
LLM text
/api/registry/manifest/azure-samples-contoso-chat?format=text
Install alias
/api/registry/install/azure-samples-contoso-chat
Recommend
/api/registry/recommend?task=Use%20Contoso%20Chat%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Bicep, LLMOps, Claude Code, OpenAI Agents
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO762 GitHub stars
Stars/forks activity
PASS762 stars, 4.0K forks; issue activity unavailable in current metadata
Recent maintenance
INFO10mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Stack fit
Inspect, patch, and verify code
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
Bring a coding agent directly into the terminal
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
A portable AI agent skill that enhances AI-generated user interfaces with better layout, typography, motion, and spacing to avoid generic outputs.
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, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & Tools
Decision snapshot
762 GitHub stars
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Contoso Chat, ready for a manual X post.
Most coding agents don't fail from lack of model power. They fail when repo context disappears. Contoso Chat gives coding agents a repeatable way to plan, patch, review, or ship. 762 stars https://www.openagentskill.com/skills/azure-samples-contoso-chat?ref=x #AIAgents
Listing + install path for Contoso Chat: https://www.openagentskill.com/skills/azure-samples-contoso-chat?ref=x Install: npx skills add Azure-Samples/contoso-chat
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to Azure-Samples but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/azure-samples-contoso-chat)
[](https://www.openagentskill.com/skills/azure-samples-contoso-chat)
[](https://www.openagentskill.com/skills/azure-samples-contoso-chat/audit)
[](https://www.openagentskill.com/skills/azure-samples-contoso-chat)Azure-Samples
@azure-samples
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