How to Automate Meeting Notes Distribution with OpenClaw in Slack

The Meeting Notes Problem Nobody Talks About

The meeting itself takes an hour. Writing up the notes takes another thirty minutes. Then someone has to figure out who gets them, paste action items into Jira or Linear, update the Notion doc, and send a recap email to the stakeholders who weren't in the room. By the time all of that happens, half the action items are already stale.

This is exactly the kind of repetitive, high-context, multi-tool workflow that an autonomous AI agent handles well. With SlackClaw running OpenClaw inside your Slack workspace, you can wire up a pipeline that takes a meeting transcript and turns it into distributed, actionable notes — across every tool your team already uses — without anyone lifting a finger after the call ends.

This article walks through how to set that up, end to end.

What the Finished Workflow Looks Like

Before diving into the steps, here's what you're building toward. When a meeting ends:

1. A transcript (from Zoom, Google Meet, or a tool like Fireflies or Otter.ai) lands in a Slack channel or is uploaded directly.
2. The OpenClaw agent picks it up, summarizes it, and extracts action items, decisions, and open questions.
3. Action items get created as tickets in Linear, Jira, or GitHub Issues — automatically assigned to the right people based on what was said.
4. A clean summary gets written to the team's Notion workspace under the correct project page.
5. A formatted recap email goes out via Gmail to any stakeholders who weren't on the call.
6. A Slack message posts in the relevant project channel with a summary and links to everything that was created.

The whole thing runs on a dedicated server per team, so your data isn't shared with anyone else's workspace, and the agent's persistent memory means it already knows your projects, your team members, and your preferences from past interactions.

Step 1: Connect Your Tools

SlackClaw connects to 800+ integrations via one-click OAuth, so there's no API key hunting or developer setup required for most tools. Start by connecting the ones you need for this workflow.

In your SlackClaw dashboard, navigate to Integrations and connect:

• Notion — for writing meeting summaries to your knowledge base
• Linear or Jira — for creating action item tickets
• Gmail or Outlook — for sending stakeholder recaps
• GitHub — if your team tracks engineering tasks as issues
• Your meeting transcription tool (Fireflies, Otter.ai, or Zoom's built-in transcription export)

Each of these is a standard OAuth flow — click, authorize, done. The agent gets scoped access and will use it autonomously when executing tasks.

Step 2: Set Up Your Meeting Notes Skill

OpenClaw uses a skill system that lets you define reusable behaviors. You'll create a custom skill called distribute_meeting_notes that the agent can invoke whenever a transcript is provided.

In your SlackClaw workspace, open the Skills editor and create a new skill with the following prompt template: Learn more about our integrations directory.

Skill: distribute_meeting_notes

When given a meeting transcript, do the following:

1. Summarize the meeting in 3-5 bullet points covering the main discussion topics.
2. Extract all action items. For each action item, identify:
   - The task description
   - The owner (match to a known team member if mentioned by name)
   - A suggested due date if one was mentioned
3. List any key decisions made.
4. List any open questions that were not resolved.
5. Create tickets in [LINEAR_PROJECT] for each action item, assigned to the appropriate owner.
6. Write a structured summary to the Notion page at [NOTION_MEETING_LOG_URL].
7. Post a summary message in [SLACK_CHANNEL] with links to all created tickets.
8. If [SEND_EMAIL] is true, send a recap email to [EMAIL_RECIPIENTS] using the summary and action item list.

Use persistent memory to match attendee names to their Linear handles and email addresses.

The bracketed values become parameters you fill in per meeting, or you can set defaults in persistent memory so the agent already knows your standard projects and channels. Learn more about our pricing page.

Using Persistent Memory to Your Advantage

This is where SlackClaw's persistent memory really earns its keep. The first time you run this workflow, you might need to tell the agent a few things:

"Our engineering standup notes always go to the #eng-standup-notes channel and the Notion page titled 'Engineering Standup Log'. Action items go to the Backend linear team. Sarah's Linear handle is @sarah-k."

The agent stores this. Next time, it applies it automatically. Over several weeks, it builds up a detailed model of your team's structure — who owns what, which projects map to which tools, which stakeholders always need to be CC'd. You stop repeating yourself, and the outputs get better and more accurate over time.

Step 3: Trigger the Workflow from Slack

There are two practical ways to kick off the distribution workflow after a meeting.

Option A: Upload the Transcript Directly

If your meeting tool exports a transcript as a text or VTT file, drop it into any Slack channel where SlackClaw is active and tag the agent:

@SlackClaw here's the transcript from today's product sync. 
Run distribute_meeting_notes with send_email true, 
recipients: jane@company.com, mark@company.com

The agent reads the file, runs the skill, and reports back with links to everything it created.

Option B: Paste the Transcript Text

For shorter meetings or when you're copying from a tool like Fireflies, paste the transcript text directly into the message. Slack's 4,000-character message limit means long transcripts should be uploaded as files, but for 30-minute meetings the text often fits fine.

Option C: Automate the Trigger (Advanced)

If your transcription tool supports webhooks (Fireflies does, Otter.ai does), you can configure it to POST the transcript to a SlackClaw webhook endpoint when a meeting finishes. This removes the human trigger entirely — the agent fires automatically when the call ends.

Set up the webhook target in your SlackClaw dashboard under Triggers → Inbound Webhooks, then paste that URL into your transcription tool's integration settings. From that point on, the workflow is fully autonomous.

Step 4: Tune the Output Quality

The first few runs will probably be good but not perfect. Common things to refine:

Improving Action Item Detection

If the agent is missing action items that were phrased informally ("let's have Tom look into that"), add a note to your skill prompt: For related insights, see OpenClaw Slack + Sentry Integration: Error Tracking Made Easy.

Action items may be phrased informally. Look for commitments, 
follow-ups, and assignments even when the word "action item" 
isn't used explicitly.

Controlling Ticket Granularity

Sometimes the agent creates too many small tickets, or lumps things together that should be separate. Tell it your preference once via chat and it will remember:

"When creating Linear tickets from meeting notes, create one ticket per distinct deliverable. Don't create tickets for vague next steps like 'discuss further' — only for concrete tasks with a clear owner."

Email Formatting

Stakeholder recap emails work best when they're concise. Add formatting guidance to your skill or tell the agent directly:

Format the stakeholder email as:
- 2-3 sentence intro summarizing the meeting purpose and outcome
- Bulleted list of decisions made
- Bulleted list of action items with owners
- One-line close

Keep the total email under 200 words.

What This Actually Saves You

Teams that run this workflow consistently report eliminating somewhere between 45 minutes and two hours of post-meeting administrative work per meeting. For a team running five meetings a week, that's a meaningful amount of recovered time — and it comes with the added benefit that the notes are actually distributed rather than sitting in someone's local notes app.

The credit-based pricing model that SlackClaw uses means you're paying for the work the agent actually does, not a per-seat fee that penalizes you for having a big team. Running this workflow for a one-hour meeting typically costs a handful of credits — far less than the cost of a human doing the same task. For related insights, see OpenClaw Slack Governance: Policies for Enterprise Teams.

Next Steps

Once this workflow is running smoothly, natural extensions include:

• Weekly digest: Have the agent compile all meeting summaries from the week into a single Monday morning digest posted in #general
• Project health tracking: Compare action items created vs. completed across meetings to surface blocked work automatically
• Calendar integration: Connect Google Calendar so the agent knows who was supposed to be in each meeting and can flag if key decision-makers were absent

The underlying principle is the same throughout: define the workflow once, let the agent handle the execution, and use persistent memory to make it smarter over time. Meeting notes are just the beginning.