{
  "schemaVersion": "1.0",
  "item": {
    "slug": "flashcards",
    "name": "Flashcards",
    "source": "tencent",
    "type": "skill",
    "category": "内容创作",
    "sourceUrl": "https://clawhub.ai/ivangdavila/flashcards",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/flashcards",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/flashcards",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=flashcards",
    "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",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/flashcards"
    },
    "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/flashcards",
    "agentPageUrl": "https://openagent3.xyz/skills/flashcards/agent",
    "manifestUrl": "https://openagent3.xyz/skills/flashcards/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/flashcards/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": "Card Formulation Rules",
        "body": "One fact per card: Never combine multiple concepts. \"What is X?\" not \"What are X, Y, and Z?\"\n\nAtomic questions: Break complex topics into smallest testable units. Each card tests exactly one thing.\n\nBidirectional cards for definitions: Create both term→definition AND definition→term to prevent recognition-only learning.\n\nUse cloze deletions for facts: \"The mitochondria is the {{c1::powerhouse}} of the cell\" forces active recall."
      },
      {
        "title": "Question Types by Effectiveness",
        "body": "Best retention: Why/How questions that require understanding, not just recall.\n\nGood retention: Fill-in-the-blank, definition recall, process steps.\n\nWeak retention: Yes/No questions, multiple choice (use sparingly).\n\nAvoid: Questions answerable by pattern matching or elimination."
      },
      {
        "title": "Anki-Specific Formatting",
        "body": "TSV import format: front\\tback\\ttag1 tag2 — tabs separate fields, spaces separate tags.\n\nCloze syntax: {{c1::answer}} for single deletion, {{c1::first}} and {{c2::second}} for multiple.\n\nImage occlusion: Use for diagrams, maps, anatomical images. Hide labels, reveal on flip.\n\nTags for organization: Use hierarchical tags subject::topic::subtopic for filtered study."
      },
      {
        "title": "Memory Science Integration",
        "body": "Minimum information principle: Simpler cards = better retention. If card feels complex, split it.\n\nPersonal connection: Add context from your experience. \"X reminds me of Y\" strengthens encoding.\n\nConcrete over abstract: \"Paris is capital of France\" beats \"Capitals are important cities.\"\n\nImagery when possible: Visual descriptions enhance memory. \"Mitochondria = bean-shaped power plant.\""
      },
      {
        "title": "Common Mistakes",
        "body": "Too much text on back: Keep answers under 20 words. Long answers = weak recall signal.\n\nOrphan cards: Cards without context fail. Include source/chapter in tags.\n\nCopy-paste from textbook: Rephrase in your own words. Understanding before memorization.\n\nSkipping hard cards: Difficulty means you need it most. Never suspend without replacement."
      },
      {
        "title": "Output Formats",
        "body": "Anki TSV: question\\tanswer\\ttag1 tag2\n\nQuizlet import: Question and answer separated by tab, cards separated by newline.\n\nMarkdown table: For review before import.\n\n| Front | Back | Tags |\n|-------|------|------|\n| Q1 | A1 | topic |"
      },
      {
        "title": "Spaced Repetition Settings",
        "body": "New cards/day: 10-20 for sustainable learning. More causes review pile-up.\n\nReview intervals: Trust the algorithm. Don't manually reschedule.\n\nAgain vs Hard: \"Again\" = complete failure (resets interval). \"Hard\" = struggle but recalled.\n\nLeeches: Cards failed 8+ times need rewriting, not more repetition."
      }
    ],
    "body": "Card Formulation Rules\n\nOne fact per card: Never combine multiple concepts. \"What is X?\" not \"What are X, Y, and Z?\"\n\nAtomic questions: Break complex topics into smallest testable units. Each card tests exactly one thing.\n\nBidirectional cards for definitions: Create both term→definition AND definition→term to prevent recognition-only learning.\n\nUse cloze deletions for facts: \"The mitochondria is the {{c1::powerhouse}} of the cell\" forces active recall.\n\nQuestion Types by Effectiveness\n\nBest retention: Why/How questions that require understanding, not just recall.\n\nGood retention: Fill-in-the-blank, definition recall, process steps.\n\nWeak retention: Yes/No questions, multiple choice (use sparingly).\n\nAvoid: Questions answerable by pattern matching or elimination.\n\nAnki-Specific Formatting\n\nTSV import format: front\\tback\\ttag1 tag2 — tabs separate fields, spaces separate tags.\n\nCloze syntax: {{c1::answer}} for single deletion, {{c1::first}} and {{c2::second}} for multiple.\n\nImage occlusion: Use for diagrams, maps, anatomical images. Hide labels, reveal on flip.\n\nTags for organization: Use hierarchical tags subject::topic::subtopic for filtered study.\n\nMemory Science Integration\n\nMinimum information principle: Simpler cards = better retention. If card feels complex, split it.\n\nPersonal connection: Add context from your experience. \"X reminds me of Y\" strengthens encoding.\n\nConcrete over abstract: \"Paris is capital of France\" beats \"Capitals are important cities.\"\n\nImagery when possible: Visual descriptions enhance memory. \"Mitochondria = bean-shaped power plant.\"\n\nCommon Mistakes\n\nToo much text on back: Keep answers under 20 words. Long answers = weak recall signal.\n\nOrphan cards: Cards without context fail. Include source/chapter in tags.\n\nCopy-paste from textbook: Rephrase in your own words. Understanding before memorization.\n\nSkipping hard cards: Difficulty means you need it most. Never suspend without replacement.\n\nOutput Formats\n\nAnki TSV: question\\tanswer\\ttag1 tag2\n\nQuizlet import: Question and answer separated by tab, cards separated by newline.\n\nMarkdown table: For review before import.\n\n| Front | Back | Tags |\n|-------|------|------|\n| Q1 | A1 | topic |\n\nSpaced Repetition Settings\n\nNew cards/day: 10-20 for sustainable learning. More causes review pile-up.\n\nReview intervals: Trust the algorithm. Don't manually reschedule.\n\nAgain vs Hard: \"Again\" = complete failure (resets interval). \"Hard\" = struggle but recalled.\n\nLeeches: Cards failed 8+ times need rewriting, not more repetition."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/ivangdavila/flashcards",
    "publisherUrl": "https://clawhub.ai/ivangdavila/flashcards",
    "owner": "ivangdavila",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/flashcards",
    "downloadUrl": "https://openagent3.xyz/downloads/flashcards",
    "agentUrl": "https://openagent3.xyz/skills/flashcards/agent",
    "manifestUrl": "https://openagent3.xyz/skills/flashcards/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/flashcards/agent.md"
  }
}