# Send Airweave to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "airweave",
    "name": "Airweave",
    "source": "tencent",
    "type": "skill",
    "category": "效率提升",
    "sourceUrl": "https://clawhub.ai/lennertjansen/airweave",
    "canonicalUrl": "https://clawhub.ai/lennertjansen/airweave",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/airweave",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=airweave",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/search.py",
      "references/EXAMPLES.md",
      "references/PARAMETERS.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "airweave",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-29T03:26:34.661Z",
      "expiresAt": "2026-05-06T03:26:34.661Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=airweave",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=airweave",
        "contentDisposition": "attachment; filename=\"airweave-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "airweave"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/airweave"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/airweave",
    "downloadUrl": "https://openagent3.xyz/downloads/airweave",
    "agentUrl": "https://openagent3.xyz/skills/airweave/agent",
    "manifestUrl": "https://openagent3.xyz/skills/airweave/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/airweave/agent.md"
  }
}
```
## 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 — Airweave uses semantic search
Include context — "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 — Max results (default: 20)
--temporal N — Temporal relevance 0-1 (default: 0, use 0.7+ for "recent", "latest")
--strategy TYPE — Retrieval strategy: hybrid, semantic, keyword (default: hybrid)
--raw — Return raw results instead of AI-generated answer
--expand — Enable query expansion for broader results
--rerank / --no-rerank — 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+ → Highly relevant, use confidently
0.70-0.85 → Likely relevant, use with context
0.50-0.70 → Possibly relevant, mention uncertainty
Below 0.50 → Weak match, consider rephrasing

Presenting to users:

Lead with the answer — don't start with "I found 5 results"
Cite sources — mention where info came from ("According to your Slack conversation...")
Synthesize — combine relevant parts into a coherent response
Acknowledge gaps — if results don't fully answer, say so

### Handling No Results

If search returns nothing useful:

Broaden the query — remove specific terms
Try different phrasing — use synonyms
Increase limit — fetch more results
Ask for clarification — user might have more context

### Parameter Reference

See PARAMETERS.md for detailed parameter guidance.

### Examples

See EXAMPLES.md for complete search scenarios.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: lennertjansen
- Version: 1.0.1
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-29T03:26:34.661Z
- Expires at: 2026-05-06T03:26:34.661Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/airweave)
- [Send to Agent page](https://openagent3.xyz/skills/airweave/agent)
- [JSON manifest](https://openagent3.xyz/skills/airweave/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/airweave/agent.md)
- [Download page](https://openagent3.xyz/downloads/airweave)