agentleFS
MicrosoftKnown publishermicrosoft/skills-for-copilot-studio/skills/chat-sdk/SKILL.md

chat-sdk

Skill486 starsChanged 8 months agoMITView on GitHub

Send a message to a Copilot Studio agent via the Copilot Studio Client SDK (M365). Use for agents with integrated auth (Entra ID SSO). Requires an App Registration Client ID.

13 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use linear.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • OpenAISkill

    linear

    Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run the script with --client-id and the utterance from $ARGUMENTS:

    line 19

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Chat via Copilot Studio SDK

Send a single utterance to a published agent via the Copilot Studio Client SDK. Use this for agents with integrated authentication / Entra ID SSO (authenticationmode 2).

Prerequisites

Requires prior authentication via /copilot-studio:test-auth. Do NOT ask the user for a client ID yourself — the test-auth skill handles app registration setup and authentication.

Instructions

  1. Run the script with --client-id and the utterance from $ARGUMENTS:

    node ${CLAUDE_SKILL_DIR}/../../scripts/chat-with-agent.bundle.js \
      --client-id "<clientId>" "<utterance>" [--agent-dir <path>]
  2. Authentication: Requires prior authentication via /copilot-studio:test-auth. The token is cached in the "test-agent" slot and shared with the eval API. If auth fails or the SDK hangs, tell the caller to re-run test-auth.
  3. Parse the JSON output from stdout:
{
  "status": "ok",
  "protocol": "m365",
  "utterance": "hello",
  "conversation_id": "abc123-...",
  "start_activities": [ ... ],
  "activities": [ ... ]
}

Display the agent's response from the activities array:

  • Text: activities where type === "message" — show text
  • Suggested actions: suggestedActions.actions array
  • Adaptive cards: attachments with contentType === "application/vnd.microsoft.card.adaptive"

Save conversation_id for follow-ups.

Multi-turn

Pass --conversation-id from the previous response:

node ${CLAUDE_SKILL_DIR}/../../scripts/chat-with-agent.bundle.js \
  --client-id "<id>" "<follow-up>" --conversation-id "<id>"

SDK sessions do not expire as quickly as DirectLine. Reuse conversation_id automatically for follow-ups.

Error Handling

ErrorCauseResolution
Authentication failedWrong client ID or tenantVerify app registration and permissions
Could not obtain conversation_idAgent not published or wrong configVerify agent is published

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.