{
  "schemaVersion": "1.0",
  "item": {
    "slug": "competing",
    "name": "Competing",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/ivangdavila/competing",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/competing",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/competing",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=competing",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "analysis.md",
      "domains.md",
      "feedback.md",
      "tracking.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/competing"
    },
    "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/competing",
    "agentPageUrl": "https://openagent3.xyz/skills/competing/agent",
    "manifestUrl": "https://openagent3.xyz/skills/competing/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/competing/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": "Core Framework",
        "body": "Competition is a learning accelerator. Every loss contains the lesson that wins don't.\n\nAnalyze the Loss — Don't just lose, understand WHY\nStudy the Winner — What did they do that you didn't?\nTrack the Delta — Measure the gap, watch it shrink\nIterate — Apply lessons, compete again, repeat"
      },
      {
        "title": "The Post-Loss Protocol",
        "body": "After any competitive loss, extract value:\n\nQuestionPurposeAt what moment did the outcome shift?Find the decision pointWhat did they do that I didn't?Identify the winning moveWhat would I do differently?Formulate the lessonIs this a pattern?Check history for repeats\n\nDon't rationalize. Don't blame externals. Extract the actionable insight."
      },
      {
        "title": "Tracking (What to Measure)",
        "body": "Create a tracking folder in the user's workspace:\n\n~/competing/\n├── domains/           # Per-domain tracking\n├── rivals.md          # Opponent profiles\n├── log.md             # Win/loss log with lessons\n└── progress.md        # Metrics over time\n\nFor each domain, track:\n\nWin/loss record with dates\nSpecific losses analyzed (who, why, lesson)\nPatterns identified (recurring weaknesses)\nProgress metrics (are lessons translating to wins?)"
      },
      {
        "title": "Rival Intelligence",
        "body": "Know your competition:\n\nProfile rivals — Their strengths, weaknesses, tendencies\nMonitor changes — When they improve or change strategy\nFind their edge — What specifically makes them beat you?\nStudy up — Find examples of them losing, analyze what worked"
      },
      {
        "title": "Quick Reference",
        "body": "SituationActionJust lostRun post-loss protocol, add to logPattern emergingDocument it, create drill/fixPreparing for known rivalReview their profile, past matchesPlateau in progressAnalyze recent losses for new patternsWon against usual winnerDocument what changed, replicate"
      },
      {
        "title": "Load Reference",
        "body": "NeedFileDomain-specific strategiesdomains.mdDeep loss analysis frameworkanalysis.mdProgress tracking templatestracking.mdFeedback loop mechanicsfeedback.md"
      }
    ],
    "body": "Core Framework\n\nCompetition is a learning accelerator. Every loss contains the lesson that wins don't.\n\nAnalyze the Loss — Don't just lose, understand WHY\nStudy the Winner — What did they do that you didn't?\nTrack the Delta — Measure the gap, watch it shrink\nIterate — Apply lessons, compete again, repeat\nThe Post-Loss Protocol\n\nAfter any competitive loss, extract value:\n\nQuestion\tPurpose\nAt what moment did the outcome shift?\tFind the decision point\nWhat did they do that I didn't?\tIdentify the winning move\nWhat would I do differently?\tFormulate the lesson\nIs this a pattern?\tCheck history for repeats\n\nDon't rationalize. Don't blame externals. Extract the actionable insight.\n\nTracking (What to Measure)\n\nCreate a tracking folder in the user's workspace:\n\n~/competing/\n├── domains/           # Per-domain tracking\n├── rivals.md          # Opponent profiles\n├── log.md             # Win/loss log with lessons\n└── progress.md        # Metrics over time\n\n\nFor each domain, track:\n\nWin/loss record with dates\nSpecific losses analyzed (who, why, lesson)\nPatterns identified (recurring weaknesses)\nProgress metrics (are lessons translating to wins?)\nRival Intelligence\n\nKnow your competition:\n\nProfile rivals — Their strengths, weaknesses, tendencies\nMonitor changes — When they improve or change strategy\nFind their edge — What specifically makes them beat you?\nStudy up — Find examples of them losing, analyze what worked\nQuick Reference\nSituation\tAction\nJust lost\tRun post-loss protocol, add to log\nPattern emerging\tDocument it, create drill/fix\nPreparing for known rival\tReview their profile, past matches\nPlateau in progress\tAnalyze recent losses for new patterns\nWon against usual winner\tDocument what changed, replicate\nLoad Reference\nNeed\tFile\nDomain-specific strategies\tdomains.md\nDeep loss analysis framework\tanalysis.md\nProgress tracking templates\ttracking.md\nFeedback loop mechanics\tfeedback.md"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/ivangdavila/competing",
    "publisherUrl": "https://clawhub.ai/ivangdavila/competing",
    "owner": "ivangdavila",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/competing",
    "downloadUrl": "https://openagent3.xyz/downloads/competing",
    "agentUrl": "https://openagent3.xyz/skills/competing/agent",
    "manifestUrl": "https://openagent3.xyz/skills/competing/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/competing/agent.md"
  }
}