{
  "schemaVersion": "1.0",
  "item": {
    "slug": "lore",
    "name": "Lore",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/mishkinf/lore",
    "canonicalUrl": "https://clawhub.ai/mishkinf/lore",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/lore",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=lore",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.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": "lore",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-05T03:18:01.758Z",
      "expiresAt": "2026-05-12T03:18:01.758Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=lore",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=lore",
        "contentDisposition": "attachment; filename=\"lore-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "lore"
      },
      "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/lore"
    },
    "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/lore",
    "agentPageUrl": "https://openagent3.xyz/skills/lore/agent",
    "manifestUrl": "https://openagent3.xyz/skills/lore/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/lore/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": "Lore Knowledge Base",
        "body": "Lore is a research knowledge repository you have access to via MCP tools. It stores documents, meeting notes, interviews, and decisions with full citations — not just summaries, but the original content linked back to its source. Use it to ground your answers in evidence and to preserve important context from your conversations."
      },
      {
        "title": "When to Ingest Content into Lore",
        "body": "Push content into Lore using the ingest tool whenever you encounter information worth preserving:\n\nAfter conversations: When a user shares meeting notes, interview transcripts, or important documents, ingest them so they're searchable later.\nExternal content: When you fetch content from Slack, Notion, GitHub, email, or other systems, ingest the relevant parts into Lore.\nDecisions and context: When important decisions are made or context is shared that future conversations will need.\n\nAlways include:\n\nsource_url: The original URL (Slack permalink, Notion page URL, GitHub issue URL) for citation linking.\nsource_name: A human-readable label like \"Slack #product-team\" or \"GitHub issue #42\".\nproject: The project this content belongs to.\n\nIngestion is idempotent — calling ingest with the same content twice is safe and cheap (returns immediately with deduplicated: true)."
      },
      {
        "title": "When to Search Lore",
        "body": "Before answering questions about past decisions, user feedback, project history, or anything that might already be documented:\n\nUse search for quick lookups. Pick the right mode:\n\nhybrid (default): Best for most queries\nkeyword: For exact terms, names, identifiers\nsemantic: For conceptual queries (\"user frustrations\", \"pain points\")\n\n\n\nUse research only when the question requires cross-referencing multiple sources or synthesizing findings. It costs 10x more than search — don't use it for simple lookups.\n\n\nUse get_source with include_content=true when you need the full original text of a specific document."
      },
      {
        "title": "When to Retain Insights",
        "body": "Use retain (not ingest) for short, discrete pieces of knowledge:\n\nKey decisions: \"We chose X because Y\"\nSynthesized insights: \"3/5 users mentioned Z as their top issue\"\nRequirements: \"Must support SSO for enterprise\""
      },
      {
        "title": "Citation Best Practices",
        "body": "When presenting information from Lore, always cite your sources:\n\nReference the source title and date\nQuote directly when possible\nIf a source_url is available, link to the original"
      },
      {
        "title": "Example Workflows",
        "body": "User asks about past decisions:\n\nsearch(\"authentication approach decisions\", project: \"my-app\")\nReview results, get full source if needed: get_source(source_id, include_content: true)\nPresent findings with citations\n\nUser shares meeting notes:\n\ningest(content: \"...\", title: \"Sprint Planning Jan 15\", project: \"my-app\", source_type: \"meeting\", source_name: \"Google Meet\", participants: [\"Alice\", \"Bob\"])\nConfirm ingestion to user\n\nUser asks a broad research question:\n\nresearch(task: \"What do users think about our onboarding flow?\", project: \"my-app\")\nPresent the synthesized findings with citations"
      }
    ],
    "body": "Lore Knowledge Base\n\nLore is a research knowledge repository you have access to via MCP tools. It stores documents, meeting notes, interviews, and decisions with full citations — not just summaries, but the original content linked back to its source. Use it to ground your answers in evidence and to preserve important context from your conversations.\n\nWhen to Ingest Content into Lore\n\nPush content into Lore using the ingest tool whenever you encounter information worth preserving:\n\nAfter conversations: When a user shares meeting notes, interview transcripts, or important documents, ingest them so they're searchable later.\nExternal content: When you fetch content from Slack, Notion, GitHub, email, or other systems, ingest the relevant parts into Lore.\nDecisions and context: When important decisions are made or context is shared that future conversations will need.\n\nAlways include:\n\nsource_url: The original URL (Slack permalink, Notion page URL, GitHub issue URL) for citation linking.\nsource_name: A human-readable label like \"Slack #product-team\" or \"GitHub issue #42\".\nproject: The project this content belongs to.\n\nIngestion is idempotent — calling ingest with the same content twice is safe and cheap (returns immediately with deduplicated: true).\n\nWhen to Search Lore\n\nBefore answering questions about past decisions, user feedback, project history, or anything that might already be documented:\n\nUse search for quick lookups. Pick the right mode:\n\nhybrid (default): Best for most queries\nkeyword: For exact terms, names, identifiers\nsemantic: For conceptual queries (\"user frustrations\", \"pain points\")\n\nUse research only when the question requires cross-referencing multiple sources or synthesizing findings. It costs 10x more than search — don't use it for simple lookups.\n\nUse get_source with include_content=true when you need the full original text of a specific document.\n\nWhen to Retain Insights\n\nUse retain (not ingest) for short, discrete pieces of knowledge:\n\nKey decisions: \"We chose X because Y\"\nSynthesized insights: \"3/5 users mentioned Z as their top issue\"\nRequirements: \"Must support SSO for enterprise\"\nCitation Best Practices\n\nWhen presenting information from Lore, always cite your sources:\n\nReference the source title and date\nQuote directly when possible\nIf a source_url is available, link to the original\nExample Workflows\n\nUser asks about past decisions:\n\nsearch(\"authentication approach decisions\", project: \"my-app\")\nReview results, get full source if needed: get_source(source_id, include_content: true)\nPresent findings with citations\n\nUser shares meeting notes:\n\ningest(content: \"...\", title: \"Sprint Planning Jan 15\", project: \"my-app\", source_type: \"meeting\", source_name: \"Google Meet\", participants: [\"Alice\", \"Bob\"])\nConfirm ingestion to user\n\nUser asks a broad research question:\n\nresearch(task: \"What do users think about our onboarding flow?\", project: \"my-app\")\nPresent the synthesized findings with citations"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/mishkinf/lore",
    "publisherUrl": "https://clawhub.ai/mishkinf/lore",
    "owner": "mishkinf",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/lore",
    "downloadUrl": "https://openagent3.xyz/downloads/lore",
    "agentUrl": "https://openagent3.xyz/skills/lore/agent",
    "manifestUrl": "https://openagent3.xyz/skills/lore/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/lore/agent.md"
  }
}