Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Airweave
Context retrieval layer for AI agents across users' applications. Search and retrieve context from Airweave collections. Airweave indexes and syncs data from user applications to enable optimal context retrieval by AI agents. Supports semantic, keyword, and agentic search. Use when users ask about their data in connected apps (Slack, GitHub, Notion, Jira, Confluence, Google Drive, Salesforce, Linear, SharePoint, Stripe, etc.), need to find documents or information from their workspace, want answers based on their company data, or need you to check app data for context to complete a task.
skill openclawclawhub Free
Context retrieval layer for AI agents across users' applications. Search and retrieve context from Airweave collections. Airweave indexes and syncs data from user applications to enable optimal context retrieval by AI agents. Supports semantic, keyword, and agentic search. Use when users ask about their data in connected apps (Slack, GitHub, Notion, Jira, Confluence, Google Drive, Salesforce, Linear, SharePoint, Stripe, etc.), need to find documents or information from their workspace, want answers based on their company data, or need you to check app data for context to complete a task.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/search.py, references/EXAMPLES.md, references/PARAMETERS.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- lennertjansen
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Airweave Search
Search and retrieve context from Airweave collections using the search script at {baseDir}/scripts/search.py.
When to Search
Search when the user: Asks about data in their connected apps ("What did we discuss in Slack about...") Needs to find documents, messages, issues, or records Asks factual questions about their workspace ("Who is responsible for...", "What's our policy on...") References specific tools by name ("in Notion", "on GitHub", "in Jira") Needs recent information you don't have in your training Needs you to check app data for context ("check our Notion docs", "look at the Jira ticket") Don't search when: User asks general knowledge questions (use your training) User already provided all needed context in the conversation The question is about Airweave itself, not data within it
Query Formulation
Turn user intent into effective search queries: User SaysSearch Query"What did Sarah say about the launch?""Sarah product launch""Find the API documentation""API documentation""Any bugs reported this week?""bug report issues""What's our refund policy?""refund policy customer" Tips: Use natural language โ Airweave uses semantic search Include context โ "pricing feedback" beats just "pricing" Be specific but not too narrow Skip filler words like "please find", "can you search for"
Running a Search
Execute the search script: python3 {baseDir}/scripts/search.py "your search query" Optional parameters: --limit N โ Max results (default: 20) --temporal N โ Temporal relevance 0-1 (default: 0, use 0.7+ for "recent", "latest") --strategy TYPE โ Retrieval strategy: hybrid, semantic, keyword (default: hybrid) --raw โ Return raw results instead of AI-generated answer --expand โ Enable query expansion for broader results --rerank / --no-rerank โ Toggle LLM reranking (default: on) Examples: # Basic search python3 {baseDir}/scripts/search.py "customer feedback pricing" # Recent conversations python3 {baseDir}/scripts/search.py "product launch updates" --temporal 0.8 # Find specific document python3 {baseDir}/scripts/search.py "API authentication docs" --strategy keyword # Get raw results for exploration python3 {baseDir}/scripts/search.py "project status" --limit 30 --raw # Broad search with query expansion python3 {baseDir}/scripts/search.py "onboarding" --expand
Handling Results
Interpreting scores: 0.85+ โ Highly relevant, use confidently 0.70-0.85 โ Likely relevant, use with context 0.50-0.70 โ Possibly relevant, mention uncertainty Below 0.50 โ Weak match, consider rephrasing Presenting to users: Lead with the answer โ don't start with "I found 5 results" Cite sources โ mention where info came from ("According to your Slack conversation...") Synthesize โ combine relevant parts into a coherent response Acknowledge gaps โ if results don't fully answer, say so
Handling No Results
If search returns nothing useful: Broaden the query โ remove specific terms Try different phrasing โ use synonyms Increase limit โ fetch more results Ask for clarification โ user might have more context
Parameter Reference
See PARAMETERS.md for detailed parameter guidance.
Examples
See EXAMPLES.md for complete search scenarios.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- references/EXAMPLES.md
- references/PARAMETERS.md
- scripts/search.py