Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Updated the skill description to clarify Airweave's function as a context retrieval layer for AI agents across user applications. - Expanded the list of supported integrations in the description to include Linear, SharePoint, and Stripe. - Emphasized Airweave's support for semantic, keyword, and agentic search. - No changes to functionality or code; documentation improvements only.
What This Skill Does
Airweave is a context retrieval layer that indexes and syncs data from connected apps so AI agents can search it. Supports semantic, keyword, and hybrid retrieval strategies. Agents query collections to answer questions grounded in the user's actual workspace data.
Instead of switching between apps to find context, agents retrieve and synthesize relevant data from all connected sources in a single query.
When to use it
- Finding which Slack thread discussed a specific product decision
- Locating a Confluence policy doc without knowing its exact title
- Checking Jira for open bugs related to a feature before shipping
- Pulling recent Salesforce notes on a customer account
- Answering who owns a project based on Linear tickets
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What did we decide about the refund policy in Notion?
- 1Identifies query as a workspace data lookup requiring search
- 2Formulates query: 'refund policy decision'
- 3Runs: python3 scripts/search.py 'refund policy decision' --strategy hybrid
- 4Evaluates result scores to determine confidence level
- 5Synthesizes relevant passages and cites the source document
A direct answer referencing the Notion document where the refund policy was documented, with source attribution.
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.