Before You Begin: What SlackClaw Actually Does
Most Slack bots answer questions. SlackClaw does work. Powered by the OpenClaw agent framework, it doesn't just pull information — it takes actions across your connected tools, remembers context between conversations, and operates autonomously on your team's behalf. Before diving into the setup steps, it's worth understanding what you're configuring and why each piece matters.
When you install SlackClaw, your workspace gets a dedicated server — not a shared pool of resources that throttles when your neighbor's team spikes usage. Your agent runs in its own environment, which means faster responses, isolated memory, and consistent behavior. This also means your data doesn't commingle with other organizations. For teams handling sensitive pipelines or customer data, that's not a minor detail.
Step 1: Installing SlackClaw to Your Workspace
Head to the SlackClaw dashboard and click Add to Slack. You'll be redirected through Slack's standard OAuth flow. Grant the requested permissions — SlackClaw needs access to read messages in channels where it's invited, post replies, and receive direct messages. It does not read your entire workspace history by default.
Once the OAuth flow completes, Slack will redirect you back to the SlackClaw dashboard, where your dedicated server will begin provisioning. This typically takes under two minutes. You'll receive a confirmation DM from @SlackClaw in your workspace when it's ready.
Tip: During provisioning, take a moment to decide which Slack channels you want SlackClaw active in. You'll invite it to specific channels rather than giving it workspace-wide access — this keeps things intentional and avoids the agent surfacing in channels where it would be disruptive.
Step 2: Connecting Your Tools via OAuth
This is where SlackClaw's value starts to become concrete. SlackClaw connects to 800+ external tools through one-click OAuth — no API key wrangling, no webhook configuration, no custom middleware. Navigate to the Integrations tab in your dashboard and connect the tools your team actually uses.
Recommended integrations to connect first
Start with the tools your team touches every day. Common first-day connections include:
- GitHub — lets the agent open issues, summarize PRs, check CI status, and comment on code reviews directly from Slack
- Linear or Jira — enables ticket creation, status updates, and sprint summaries without leaving the conversation
- Gmail or Outlook — allows the agent to draft and send emails, search threads, and surface relevant messages
- Notion — lets the agent read and write docs, update databases, and create pages from Slack threads
- Google Calendar — enables scheduling, conflict checking, and meeting summaries
Each integration goes through a standard OAuth consent screen. You authorize SlackClaw with the minimum scopes needed for its capabilities, and revocation is always one click away from either the SlackClaw dashboard or the connected tool's own settings. Learn more about our pricing page.
Testing an integration immediately
Once you've connected GitHub, for example, jump into a channel where SlackClaw is active and try: Learn more about our security features.
@SlackClaw list the open PRs in github.com/your-org/your-repo that are waiting on review
A working integration will return a formatted list within seconds. If something looks off, the dashboard's Integration Health panel shows the status of each connection and surfaces any permission gaps.
Step 3: Configuring Persistent Memory
Persistent memory is one of the features that separates SlackClaw from simpler bots. The agent retains context across conversations — it remembers that your team calls your staging environment "sandbox," that your sprint review is every other Friday, and that your VP of Engineering prefers bullet-point summaries over paragraphs.
Seeding memory during setup
You can prime the agent's memory before your team starts using it in earnest. From the dashboard, open the Memory tab and use the seed input to provide foundational context:
- Your team's name, timezone, and working hours
- Project names and their corresponding repositories or boards
- Terminology your team uses that might differ from defaults (e.g., "ship it" means "merge and deploy to production")
- Recurring workflows the agent should be aware of
You can also teach the agent inline during a conversation:
@SlackClaw remember that our Linear workspace uses "Backlog," "In Progress," and "Done" — not the default statuses
The agent will confirm the memory was stored and apply it in future interactions.
Memory scopes: personal vs. team
Memories can be scoped to an individual user or to the entire team. Personal memories — like a user's preferred summary format — only apply when that person is interacting with the agent. Team memories apply globally. During setup, it's worth clarifying this distinction with your team so people understand that some preferences are theirs to set individually.
Step 4: Inviting SlackClaw to Channels
SlackClaw is opt-in at the channel level. In each channel where you want it active, run:
/invite @SlackClaw
Consider being selective here. A few common patterns that work well:
- #engineering — for GitHub, Linear, and deployment-related queries
- #ops — for calendar scheduling, email drafting, and cross-tool lookups
- #product — for Notion doc management and Jira ticket creation
- A dedicated #ai-agent channel — a sandbox for your team to experiment with new capabilities without cluttering existing channels
Avoid inviting SlackClaw to high-volume announcement channels unless you have a specific reason. The agent responds when mentioned with @SlackClaw, so it won't spam channels — but keeping it out of irrelevant spaces keeps your setup clean.
Step 5: Setting Up Custom Skills
Custom skills let you teach SlackClaw compound, repeatable workflows specific to your team. Think of them as macros that combine multiple tool actions into a single natural language trigger.
Creating your first skill
From the dashboard, navigate to Skills → New Skill. Give it a name, a plain-language description of when to use it, and define the steps. For example: For related insights, see Reducing Context Switching with OpenClaw in Slack.
Skill name: Weekly Standup Prep
Trigger: "prepare standup" or "standup summary"
Steps:
1. Pull all Linear tickets updated in the last 24 hours assigned to the requesting user
2. Check GitHub for any open PRs by that user
3. Check Google Calendar for today's meetings
4. Format a brief standup-ready summary
Once saved, any team member can type @SlackClaw prepare standup and receive a personalized, cross-tool summary in seconds. Skills dramatically reduce the cognitive overhead of running the same lookups manually every morning.
Understanding Credit-Based Pricing
SlackClaw uses a credit-based pricing model rather than per-seat licensing. Your team shares a credit pool, which means ten people using the agent occasionally costs the same as one power user consuming the same total credits. This model tends to reward teams that use the agent thoughtfully rather than penalizing growth in headcount.
Credits are consumed by agent actions — not by the number of Slack messages sent. A simple lookup uses fewer credits than a multi-step workflow that queries GitHub, updates a Linear ticket, and drafts a Notion page. The dashboard's Usage tab breaks down consumption by user, channel, and skill type, so you can see exactly where your credits are going and optimize accordingly.
If you're evaluating whether SlackClaw fits your team's budget, start by identifying your three or four highest-frequency manual workflows. Estimating how often those run per week gives you a reasonable basis for projecting credit consumption before you commit to a plan tier. For related insights, see OpenClaw Slack OAuth Setup: Connecting Your Tools Securely.
Getting Your Team Onboarded
The biggest friction point after setup isn't technical — it's behavioral. Teams that succeed with SlackClaw early tend to do a few things consistently:
- Designate one internal champion who understands the integrations and can answer "can it do X?" questions without everyone opening a support ticket.
- Share a short internal doc listing the connected tools, the custom skills you've built, and a few example prompts. Even five examples dramatically lower the barrier for teammates who aren't sure how to start.
- Encourage experimentation in a dedicated channel — people learn faster when they're not worried about looking confused in front of the team.
- Review memory periodically — after the first two weeks, do a quick audit of stored team memories to make sure nothing outdated has been reinforced.
SlackClaw is most valuable when it becomes part of how your team naturally communicates — not a tool someone has to remember to open. The setup steps above get the infrastructure right. Getting the culture right is what turns a configured agent into a genuine productivity multiplier.