{
  "schemaVersion": "1.0",
  "item": {
    "slug": "scale",
    "name": "Scale Frameworks",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/ivangdavila/scale",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/scale",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/scale",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=scale",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "architecture-scale-framework.md",
      "company-scale-framework.md",
      "execution-cadence.md",
      "memory-template.md",
      "scale-diagnostic.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": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.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/scale"
    },
    "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/scale",
    "agentPageUrl": "https://openagent3.xyz/skills/scale/agent",
    "manifestUrl": "https://openagent3.xyz/skills/scale/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/scale/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": "Setup",
        "body": "On first use, read setup.md for integration and activation guidance."
      },
      {
        "title": "When to Use",
        "body": "Use this skill when the user wants to scale something with real constraints: technical systems, software architecture, organizations, operations, or go-to-market capacity.\n\nThe skill applies the same core logic across domains: find the bottleneck, select the smallest high-leverage move, and verify with explicit guardrails before expanding.\n\nThis skill is advisory and planning-focused. It does not run infrastructure changes, reorganize teams, or execute live migrations without user confirmation and domain tooling."
      },
      {
        "title": "Architecture",
        "body": "Memory lives in ~/scale/. See memory-template.md for structure and status fields.\n\n~/scale/\n|- memory.md                  # Durable scaling context and activation preferences\n|- bottleneck-map.md          # Active constraints and bottleneck hypotheses\n|- leverage-backlog.md        # Candidate changes ranked by impact and effort\n`- experiment-log.md          # Outcomes, regressions, and rollout notes"
      },
      {
        "title": "Quick Reference",
        "body": "Use the smallest relevant file for the current scaling problem.\n\nTopicFileSetup and integrationsetup.mdMemory structure and statesmemory-template.mdUniversal intake and bottleneck diagnosisscale-diagnostic.mdInfrastructure and platform scalingsystem-scale-framework.mdSoftware architecture scalingarchitecture-scale-framework.mdTeam and business scalingcompany-scale-framework.mdCadence, metrics, and rollout controlexecution-cadence.md"
      },
      {
        "title": "1. Define Scale Target Before Solutions",
        "body": "Always lock these inputs first:\n\nWhat must scale: throughput, reliability, team output, revenue, or customer base\nTime horizon: immediate, quarter, or year\nNon-negotiable constraints: budget, compliance, headcount, latency, quality\n\nNo target, no valid scaling plan."
      },
      {
        "title": "2. Work the BOLT Loop",
        "body": "For every scaling request, apply BOLT in order:\n\nBottleneck: identify the dominant limiting factor now\nObjective: define measurable win condition\nLevers: list 3 to 5 candidate interventions\nTest: run staged validation with rollback criteria\n\nDo not skip directly from symptoms to large transformations."
      },
      {
        "title": "3. Prioritize Smallest Effective Change",
        "body": "Default to interventions that unlock capacity fast with bounded risk:\n\nRemove queueing friction before adding complexity\nImprove interfaces and ownership before splitting services\nStandardize repeated work before hiring aggressively\n\nBig rewrites are last resort, not default strategy."
      },
      {
        "title": "4. Price Second-Order Effects Explicitly",
        "body": "Each recommendation must include likely side effects:\n\nNew failure modes\nCost and operational overhead growth\nCoordination load across teams\nRisk of local optimization hurting global performance\n\nIf second-order risk is unknown, mark as hypothesis and constrain rollout."
      },
      {
        "title": "5. Pair Every KPI with a Guardrail",
        "body": "Never scale on a single growth metric. Pair it with guardrails:\n\nThroughput with error rate\nDeploy velocity with change failure rate\nSales growth with gross margin and support load\n\nIf guardrails degrade, pause expansion and stabilize."
      },
      {
        "title": "6. Separate Temporary Boosts from Durable Capacity",
        "body": "Label every action as one of two types:\n\nTemporary boost: overtime, manual review, tactical exceptions\nDurable capacity: automation, architecture simplification, reusable process\n\nUse temporary boosts only to buy time for durable capacity."
      },
      {
        "title": "7. Institutionalize What Works",
        "body": "After each successful change:\n\nCapture trigger conditions\nDocument operating playbook and owner\nAdd review cadence and retirement criteria\n\nScaling compounds only when wins become repeatable systems."
      },
      {
        "title": "Common Traps",
        "body": "Hiring before workflow clarity -> headcount increases coordination drag.\nSplitting monoliths before interface discipline -> distributed outages with slower delivery.\nScaling traffic without SLO guardrails -> growth hides reliability collapse.\nCopying big-company org charts too early -> decision latency and ownership gaps.\nOptimizing one bottleneck in isolation -> next bottleneck shifts and total flow does not improve.\nConfusing activity with throughput -> teams look busy while output stagnates."
      },
      {
        "title": "Security & Privacy",
        "body": "Data that leaves your machine:\n\nNone by default from this skill itself.\n\nData that stays local:\n\nScaling context and learned operating patterns under ~/scale/.\n\nThis skill does NOT:\n\nExecute undeclared network requests automatically.\nApply irreversible technical or organizational changes without explicit user approval.\nStore secrets, credentials, or payment data in local memory files.\nModify files outside ~/scale/ for memory storage."
      },
      {
        "title": "Related Skills",
        "body": "Install with clawhub install <slug> if user confirms:\n\narchitecture - Architectural fundamentals and constraints that shape scaling decisions.\nsystems-architect - Reliability, infrastructure, and platform tradeoff patterns.\nstartup - Stage-aware startup execution and prioritization logic.\ngrowth - Demand generation and growth loops once capacity is ready.\nstrategy - Strategic framing and tradeoff analysis across long horizons."
      },
      {
        "title": "Feedback",
        "body": "If useful: clawhub star scale\nStay updated: clawhub sync"
      }
    ],
    "body": "Setup\n\nOn first use, read setup.md for integration and activation guidance.\n\nWhen to Use\n\nUse this skill when the user wants to scale something with real constraints: technical systems, software architecture, organizations, operations, or go-to-market capacity.\n\nThe skill applies the same core logic across domains: find the bottleneck, select the smallest high-leverage move, and verify with explicit guardrails before expanding.\n\nThis skill is advisory and planning-focused. It does not run infrastructure changes, reorganize teams, or execute live migrations without user confirmation and domain tooling.\n\nArchitecture\n\nMemory lives in ~/scale/. See memory-template.md for structure and status fields.\n\n~/scale/\n|- memory.md                  # Durable scaling context and activation preferences\n|- bottleneck-map.md          # Active constraints and bottleneck hypotheses\n|- leverage-backlog.md        # Candidate changes ranked by impact and effort\n`- experiment-log.md          # Outcomes, regressions, and rollout notes\n\nQuick Reference\n\nUse the smallest relevant file for the current scaling problem.\n\nTopic\tFile\nSetup and integration\tsetup.md\nMemory structure and states\tmemory-template.md\nUniversal intake and bottleneck diagnosis\tscale-diagnostic.md\nInfrastructure and platform scaling\tsystem-scale-framework.md\nSoftware architecture scaling\tarchitecture-scale-framework.md\nTeam and business scaling\tcompany-scale-framework.md\nCadence, metrics, and rollout control\texecution-cadence.md\nCore Rules\n1. Define Scale Target Before Solutions\n\nAlways lock these inputs first:\n\nWhat must scale: throughput, reliability, team output, revenue, or customer base\nTime horizon: immediate, quarter, or year\nNon-negotiable constraints: budget, compliance, headcount, latency, quality\n\nNo target, no valid scaling plan.\n\n2. Work the BOLT Loop\n\nFor every scaling request, apply BOLT in order:\n\nBottleneck: identify the dominant limiting factor now\nObjective: define measurable win condition\nLevers: list 3 to 5 candidate interventions\nTest: run staged validation with rollback criteria\n\nDo not skip directly from symptoms to large transformations.\n\n3. Prioritize Smallest Effective Change\n\nDefault to interventions that unlock capacity fast with bounded risk:\n\nRemove queueing friction before adding complexity\nImprove interfaces and ownership before splitting services\nStandardize repeated work before hiring aggressively\n\nBig rewrites are last resort, not default strategy.\n\n4. Price Second-Order Effects Explicitly\n\nEach recommendation must include likely side effects:\n\nNew failure modes\nCost and operational overhead growth\nCoordination load across teams\nRisk of local optimization hurting global performance\n\nIf second-order risk is unknown, mark as hypothesis and constrain rollout.\n\n5. Pair Every KPI with a Guardrail\n\nNever scale on a single growth metric. Pair it with guardrails:\n\nThroughput with error rate\nDeploy velocity with change failure rate\nSales growth with gross margin and support load\n\nIf guardrails degrade, pause expansion and stabilize.\n\n6. Separate Temporary Boosts from Durable Capacity\n\nLabel every action as one of two types:\n\nTemporary boost: overtime, manual review, tactical exceptions\nDurable capacity: automation, architecture simplification, reusable process\n\nUse temporary boosts only to buy time for durable capacity.\n\n7. Institutionalize What Works\n\nAfter each successful change:\n\nCapture trigger conditions\nDocument operating playbook and owner\nAdd review cadence and retirement criteria\n\nScaling compounds only when wins become repeatable systems.\n\nCommon Traps\nHiring before workflow clarity -> headcount increases coordination drag.\nSplitting monoliths before interface discipline -> distributed outages with slower delivery.\nScaling traffic without SLO guardrails -> growth hides reliability collapse.\nCopying big-company org charts too early -> decision latency and ownership gaps.\nOptimizing one bottleneck in isolation -> next bottleneck shifts and total flow does not improve.\nConfusing activity with throughput -> teams look busy while output stagnates.\nSecurity & Privacy\n\nData that leaves your machine:\n\nNone by default from this skill itself.\n\nData that stays local:\n\nScaling context and learned operating patterns under ~/scale/.\n\nThis skill does NOT:\n\nExecute undeclared network requests automatically.\nApply irreversible technical or organizational changes without explicit user approval.\nStore secrets, credentials, or payment data in local memory files.\nModify files outside ~/scale/ for memory storage.\nRelated Skills\n\nInstall with clawhub install <slug> if user confirms:\n\narchitecture - Architectural fundamentals and constraints that shape scaling decisions.\nsystems-architect - Reliability, infrastructure, and platform tradeoff patterns.\nstartup - Stage-aware startup execution and prioritization logic.\ngrowth - Demand generation and growth loops once capacity is ready.\nstrategy - Strategic framing and tradeoff analysis across long horizons.\nFeedback\nIf useful: clawhub star scale\nStay updated: clawhub sync"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/ivangdavila/scale",
    "publisherUrl": "https://clawhub.ai/ivangdavila/scale",
    "owner": "ivangdavila",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/scale",
    "downloadUrl": "https://openagent3.xyz/downloads/scale",
    "agentUrl": "https://openagent3.xyz/skills/scale/agent",
    "manifestUrl": "https://openagent3.xyz/skills/scale/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/scale/agent.md"
  }
}