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Copilot Agent Advisor

Tells you which Microsoft 365 / Copilot Studio agent option fits your scenario — use M365 Copilot as-is, build a standard (declarative) agent, or build a custom (custom engine) agent — and which Copilot Studio harness (GitHub Copilot, standard, or Copilot chat) to build on.

Updated Aug 17, 2026Version 1.0.0

Copilot Agent Advisor

Not sure whether a scenario needs a full custom agent, a lightweight standard agent, or nothing more than Microsoft 365 Copilot as it ships? This skill makes that call for you.

Describe the scenario and it recommends one of three options:

Option What it is
Use Microsoft 365 Copilot as-is The built-in Copilot experience over your Microsoft 365 data — no build.
Standard agent (declarative) Copilot tailored with your instructions, knowledge, and actions, running on Copilot’s own orchestrator and models, inside Microsoft 365 apps.
Custom agent (custom engine) A fully custom agent — your own orchestrator and models, custom workflows, its own hosting, and reach beyond Microsoft 365.

It also advises which Copilot Studio harness to build on — the GitHub Copilot harness (reasoning-heavy, multi-step work), the standard harness (rule-based and predictable), or the Copilot chat harness (extending Microsoft 365 Copilot Chat) — and flags that agents aren’t transferable between the GitHub Copilot and standard harnesses.

How it works

It weighs the factors that actually drive the decision:

  • Where the knowledge/data lives (Microsoft 365 vs external systems)
  • Whether you need your own or fine-tuned models
  • Whether you need custom orchestration or deterministic business logic
  • Channels (inside Microsoft 365 only, or external too)
  • Autonomy (user-initiated vs proactive/triggered)
  • Audience (individual vs group collaboration)
  • Compliance (inherit Microsoft 365’s, or own it)
  • Speed & skill (fastest low-code, or full pro-code control)

Then it returns a clear recommendation with the reasoning tied to your specifics, a runner-up and the single factor that would flip the decision, how to build it, and the trade-offs (cost, hosting, compliance ownership).

Example

You: “We want a Teams helpdesk assistant that answers from our SharePoint IT policies. Which agent should I build?”

It recommends: a standard (declarative) knowledge agent in Microsoft 365 Copilot Agent Builder — because the knowledge already lives in Microsoft 365, it runs inside Teams, it’s user-initiated, and it inherits Microsoft 365 compliance. Runner-up (custom engine agent) only if you later add external-system write-back, your own model, or proactive behavior.

Good to know

  • It advises — it doesn’t build. It recommends the choice; it won’t provision, configure, or deploy the agent.
  • It stays current. Agent capabilities and previews move fast, so it verifies fast-moving specifics against Microsoft Learn before asserting them.
  • Works everywhere. Platform-neutral — the same advisory logic runs in Cowork, Copilot Studio, and Scout, with no dependency on platform-specific tools.
  • Grounded in Microsoft Learn’s declarative-vs-custom-engine decision guidance and the Copilot Studio harnesses overview (GitHub Copilot, standard, and Copilot chat harnesses).

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