{
  "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": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/airweave",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=airweave",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "scripts/search.py",
      "references/EXAMPLES.md",
      "references/PARAMETERS.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
        }
      ]
    },
    "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."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/airweave",
    "agentPageUrl": "https://openagent3.xyz/skills/airweave/agent",
    "manifestUrl": "https://openagent3.xyz/skills/airweave/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/airweave/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Airweave Search",
        "body": "Search and retrieve context from Airweave collections using the search script at {baseDir}/scripts/search.py."
      },
      {
        "title": "When to Search",
        "body": "Search when the user:\n\nAsks about data in their connected apps (\"What did we discuss in Slack about...\")\nNeeds to find documents, messages, issues, or records\nAsks factual questions about their workspace (\"Who is responsible for...\", \"What's our policy on...\")\nReferences specific tools by name (\"in Notion\", \"on GitHub\", \"in Jira\")\nNeeds recent information you don't have in your training\nNeeds you to check app data for context (\"check our Notion docs\", \"look at the Jira ticket\")\n\nDon't search when:\n\nUser asks general knowledge questions (use your training)\nUser already provided all needed context in the conversation\nThe question is about Airweave itself, not data within it"
      },
      {
        "title": "Query Formulation",
        "body": "Turn user intent into effective search queries:\n\nUser 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\"\n\nTips:\n\nUse natural language — Airweave uses semantic search\nInclude context — \"pricing feedback\" beats just \"pricing\"\nBe specific but not too narrow\nSkip filler words like \"please find\", \"can you search for\""
      },
      {
        "title": "Running a Search",
        "body": "Execute the search script:\n\npython3 {baseDir}/scripts/search.py \"your search query\"\n\nOptional parameters:\n\n--limit N — Max results (default: 20)\n--temporal N — Temporal relevance 0-1 (default: 0, use 0.7+ for \"recent\", \"latest\")\n--strategy TYPE — Retrieval strategy: hybrid, semantic, keyword (default: hybrid)\n--raw — Return raw results instead of AI-generated answer\n--expand — Enable query expansion for broader results\n--rerank / --no-rerank — Toggle LLM reranking (default: on)\n\nExamples:\n\n# Basic search\npython3 {baseDir}/scripts/search.py \"customer feedback pricing\"\n\n# Recent conversations\npython3 {baseDir}/scripts/search.py \"product launch updates\" --temporal 0.8\n\n# Find specific document\npython3 {baseDir}/scripts/search.py \"API authentication docs\" --strategy keyword\n\n# Get raw results for exploration\npython3 {baseDir}/scripts/search.py \"project status\" --limit 30 --raw\n\n# Broad search with query expansion\npython3 {baseDir}/scripts/search.py \"onboarding\" --expand"
      },
      {
        "title": "Handling Results",
        "body": "Interpreting scores:\n\n0.85+ → Highly relevant, use confidently\n0.70-0.85 → Likely relevant, use with context\n0.50-0.70 → Possibly relevant, mention uncertainty\nBelow 0.50 → Weak match, consider rephrasing\n\nPresenting to users:\n\nLead with the answer — don't start with \"I found 5 results\"\nCite sources — mention where info came from (\"According to your Slack conversation...\")\nSynthesize — combine relevant parts into a coherent response\nAcknowledge gaps — if results don't fully answer, say so"
      },
      {
        "title": "Handling No Results",
        "body": "If search returns nothing useful:\n\nBroaden the query — remove specific terms\nTry different phrasing — use synonyms\nIncrease limit — fetch more results\nAsk for clarification — user might have more context"
      },
      {
        "title": "Parameter Reference",
        "body": "See PARAMETERS.md for detailed parameter guidance."
      },
      {
        "title": "Examples",
        "body": "See EXAMPLES.md for complete search scenarios."
      }
    ],
    "body": "Airweave Search\n\nSearch and retrieve context from Airweave collections using the search script at {baseDir}/scripts/search.py.\n\nWhen to Search\n\nSearch when the user:\n\nAsks about data in their connected apps (\"What did we discuss in Slack about...\")\nNeeds to find documents, messages, issues, or records\nAsks factual questions about their workspace (\"Who is responsible for...\", \"What's our policy on...\")\nReferences specific tools by name (\"in Notion\", \"on GitHub\", \"in Jira\")\nNeeds recent information you don't have in your training\nNeeds you to check app data for context (\"check our Notion docs\", \"look at the Jira ticket\")\n\nDon't search when:\n\nUser asks general knowledge questions (use your training)\nUser already provided all needed context in the conversation\nThe question is about Airweave itself, not data within it\nQuery Formulation\n\nTurn user intent into effective search queries:\n\nUser Says\tSearch Query\n\"What did Sarah say about the launch?\"\t\"Sarah product launch\"\n\"Find the API documentation\"\t\"API documentation\"\n\"Any bugs reported this week?\"\t\"bug report issues\"\n\"What's our refund policy?\"\t\"refund policy customer\"\n\nTips:\n\nUse natural language — Airweave uses semantic search\nInclude context — \"pricing feedback\" beats just \"pricing\"\nBe specific but not too narrow\nSkip filler words like \"please find\", \"can you search for\"\nRunning a Search\n\nExecute the search script:\n\npython3 {baseDir}/scripts/search.py \"your search query\"\n\n\nOptional parameters:\n\n--limit N — Max results (default: 20)\n--temporal N — Temporal relevance 0-1 (default: 0, use 0.7+ for \"recent\", \"latest\")\n--strategy TYPE — Retrieval strategy: hybrid, semantic, keyword (default: hybrid)\n--raw — Return raw results instead of AI-generated answer\n--expand — Enable query expansion for broader results\n--rerank / --no-rerank — Toggle LLM reranking (default: on)\n\nExamples:\n\n# Basic search\npython3 {baseDir}/scripts/search.py \"customer feedback pricing\"\n\n# Recent conversations\npython3 {baseDir}/scripts/search.py \"product launch updates\" --temporal 0.8\n\n# Find specific document\npython3 {baseDir}/scripts/search.py \"API authentication docs\" --strategy keyword\n\n# Get raw results for exploration\npython3 {baseDir}/scripts/search.py \"project status\" --limit 30 --raw\n\n# Broad search with query expansion\npython3 {baseDir}/scripts/search.py \"onboarding\" --expand\n\nHandling Results\n\nInterpreting scores:\n\n0.85+ → Highly relevant, use confidently\n0.70-0.85 → Likely relevant, use with context\n0.50-0.70 → Possibly relevant, mention uncertainty\nBelow 0.50 → Weak match, consider rephrasing\n\nPresenting to users:\n\nLead with the answer — don't start with \"I found 5 results\"\nCite sources — mention where info came from (\"According to your Slack conversation...\")\nSynthesize — combine relevant parts into a coherent response\nAcknowledge gaps — if results don't fully answer, say so\nHandling No Results\n\nIf search returns nothing useful:\n\nBroaden the query — remove specific terms\nTry different phrasing — use synonyms\nIncrease limit — fetch more results\nAsk for clarification — user might have more context\nParameter Reference\n\nSee PARAMETERS.md for detailed parameter guidance.\n\nExamples\n\nSee EXAMPLES.md for complete search scenarios."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/lennertjansen/airweave",
    "publisherUrl": "https://clawhub.ai/lennertjansen/airweave",
    "owner": "lennertjansen",
    "version": "1.0.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "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"
  }
}