{
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  "item": {
    "slug": "stock-picker-orchestrator",
    "name": "Stock Picker Orchestrator",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/NDTChan/stock-picker-orchestrator",
    "canonicalUrl": "https://clawhub.ai/NDTChan/stock-picker-orchestrator",
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    "sourcePlatform": "tencent",
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      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
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        "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."
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          "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."
        }
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      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
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      },
      "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/stock-picker-orchestrator"
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        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
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        "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."
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  "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": "Stock Picker Orchestrator",
        "body": "Use this skill to coordinate the full analysis system from user intent to final recommendation framing."
      },
      {
        "title": "Purpose",
        "body": "Convert user request into the right analysis pipeline.\nControl budget: vnstock API calls, breadth of news scraping, depth of valuation work.\nProduce transparent outputs: what was fetched, assumptions, confidence, gaps.\nScope boundary: this skill coordinates other skills and does not replace their domain-specific logic."
      },
      {
        "title": "Skill graph (preferred dependencies)",
        "body": "vnstock-free-expert for structured market/fundamental data.\nnso-macro-monitor for Vietnam macro snapshot.\nus-macro-news-monitor for global macro spillover signals.\nvn-market-news-monitor for domestic market narrative.\nequity-valuation-framework for decision-grade valuation and report standard.\nportfolio-risk-manager for IPS mini + position sizing + risk triggers (no-margin)."
      },
      {
        "title": "Trigger conditions",
        "body": "\"Find best stock(s)\"\n\"Screen this sector\"\n\"Analyze ticker X deeply\"\n\"How do macro/news affect these stocks\"\n\"Value this stock like a professional\""
      },
      {
        "title": "First step: intent classification",
        "body": "Classify user request into one of these modes:\n\nSingle-Ticker Deep Dive\nMulti-Ticker/Universe Screening\nMacro/News-Led Investigation\nPortfolio Refresh\n\nIf ambiguous, choose the most conservative high-signal mode and note assumption."
      },
      {
        "title": "Execution workflow (ordered)",
        "body": "Parse user intent and select one routing mode.\nSet budget preset (Light, Standard, Deep) and hard request limits.\nExecute required upstream skills for the chosen route.\nValidate intermediate outputs for freshness, completeness, and conflicts.\nRun valuation layer only at the required depth.\nAggregate confidence across modules using the shared rubric.\nReturn output using the mandatory output contract."
      },
      {
        "title": "Budget policy (required)",
        "body": "Define and enforce budget at start:\n\nAPI budget: max vnstock calls\nNews budget: max headlines/articles per source\nValuation depth: quick multiples vs full DCF\n\nDefault safe presets:\n\nLight: 20-40 vnstock calls, headlines-only news, quick valuation\nStandard: 40-120 calls, mixed headlines + selected deep reads, scenario valuation\nDeep: 120+ calls, full context package, full valuation + sensitivity\n\nPrefer free-tier-safe pacing when using vnstock."
      },
      {
        "title": "Free-tier budget mapping (required)",
        "body": "Use these hard limits for vnstock runs:\n\nGuest/no API key: max 20 requests/min (recommended pacing >= 3.2s/request).\nCommunity API key: max 60 requests/min (recommended pacing >= 1.1s/request; keep 3.2s/request if unstable).\n\nPolicy actions:\n\nEstimate call count before execution and choose the smallest viable preset.\nIf estimated calls exceed current budget, reduce scope (smaller universe or fewer modules).\nReuse cached artifacts before making new requests.\nStop scope expansion when remaining call budget < 10% and report partial results."
      },
      {
        "title": "A) Single ticker request",
        "body": "Priority: depth over breadth.\nPipeline:\n\nvnstock-free-expert fetch financials + price behavior.\nOptional macro/news context if user asks or risk is macro-sensitive.\nequity-valuation-framework full thesis + valuation + risks."
      },
      {
        "title": "B) Multi-ticker/sector screening",
        "body": "Priority: breadth first, then depth on finalists.\nPipeline:\n\nvnstock-free-expert broad screener/ranking.\nSelect top candidates by objective criteria.\nRun quick valuation layer on shortlist.\nDeep valuation only for top 1-3 names."
      },
      {
        "title": "C) Macro/news-led request",
        "body": "Priority: context first, valuation second.\nPipeline:\n\nnso-macro-monitor + us-macro-news-monitor + vn-market-news-monitor.\nMap exposures to sectors/tickers.\nRun quick vnstock validation on impacted names.\nIf needed, run equity-valuation-framework for decision-critical names."
      },
      {
        "title": "D) Portfolio refresh",
        "body": "Priority: risk control + monitoring triggers + sizing discipline.\nPipeline:\n\nRe-score holdings and benchmark against alternatives.\nMacro/news stress overlay.\nRun equity-valuation-framework at least quick depth on key holdings/watchlist.\nRun portfolio-risk-manager to produce IPS mini + position sizing policy + per-ticker triggers/invalidation.\nFlag rebalance candidates with confidence and data gaps."
      },
      {
        "title": "Mandatory output contract",
        "body": "Always include these sections in final response:\n\nWhat Was Fetched\n\nData sources used, date/time, and coverage.\n\nPipeline Chosen\n\nWhy this route was selected for current user intent.\n\nAssumptions\n\nExplicit assumptions on macro, valuation parameters, and data quality.\n\nResults\n\nRanked outputs or thesis summary with concise evidence.\n\nConfidence and Gaps\n\nConfidence level + missing data + potential impact.\n\nRisk Flags\n\nTop risks and monitoring triggers.\n\nNext-Step Options\n\n2-3 practical follow-up actions (e.g., deepen 1 ticker, expand peer set, update after next macro release)."
      },
      {
        "title": "Shared confidence rubric (required)",
        "body": "Use a unified confidence output across pipeline steps:\n\nHigh: all critical modules complete with no material data blockers.\nMedium: one critical module has partial gaps but overall conclusion remains stable.\nLow: key module(s) missing or conflicting evidence makes conclusion fragile.\n\nAggregation rule:\n\nCompute per-module confidence first (vnstock, macro, news, valuation).\nOverall confidence = minimum of critical modules used in the chosen pipeline.\nIf module outputs conflict, cap overall confidence at Medium unless conflict is resolved with stronger evidence.\nAlways state which module is the bottleneck for confidence."
      },
      {
        "title": "Governance and quality rules",
        "body": "Single source of truth: if user provides ACTIVE_WATCHLIST/holdings, do not self-modify it; only propose drafts requiring user confirmation.\nNever present uncertain outputs as facts.\nSeparate observed data from inference.\nPrefer reproducible logic over ad-hoc narratives.\nWhen data is insufficient, downgrade confidence and narrow claims.\nAvoid absolute buy/sell instructions; provide valuation framing and risk-aware interpretation."
      },
      {
        "title": "Conflict resolution rules",
        "body": "If outputs from different modules disagree:\n\nTrust data quality hierarchy first (freshness/completeness/consistency).\nPrefer broad consensus metrics over fragile point estimates.\nKeep both interpretations and state decision boundary (what would change the conclusion)."
      },
      {
        "title": "Fallback behavior",
        "body": "If macro/news skills are unavailable: continue with vnstock + valuation only and mark missing context.\nIf valuation inputs are weak: provide screening + directional view; defer full valuation.\nIf API budget is near limit: stop expanding scope, summarize partial results, request user confirmation for deeper run."
      },
      {
        "title": "Example orchestration prompts",
        "body": "\"Run a single-ticker deep dive for HPG with full valuation and risk register.\"\n\"Screen VN30 for top value-quality names, then deep value top 3.\"\n\"Start from macro shock signals, then identify Vietnamese sector winners/losers and value 2 candidates.\""
      },
      {
        "title": "Trigger examples",
        "body": "\"Find the best Vietnam stocks this week with full reasoning.\"\n\"Compare three candidate tickers and tell me which one is strongest.\"\n\"Start from macro and news, then shortlist potential winners.\""
      }
    ],
    "body": "Stock Picker Orchestrator\n\nUse this skill to coordinate the full analysis system from user intent to final recommendation framing.\n\nPurpose\nConvert user request into the right analysis pipeline.\nControl budget: vnstock API calls, breadth of news scraping, depth of valuation work.\nProduce transparent outputs: what was fetched, assumptions, confidence, gaps.\nScope boundary: this skill coordinates other skills and does not replace their domain-specific logic.\nSkill graph (preferred dependencies)\nvnstock-free-expert for structured market/fundamental data.\nnso-macro-monitor for Vietnam macro snapshot.\nus-macro-news-monitor for global macro spillover signals.\nvn-market-news-monitor for domestic market narrative.\nequity-valuation-framework for decision-grade valuation and report standard.\nportfolio-risk-manager for IPS mini + position sizing + risk triggers (no-margin).\nTrigger conditions\n\"Find best stock(s)\"\n\"Screen this sector\"\n\"Analyze ticker X deeply\"\n\"How do macro/news affect these stocks\"\n\"Value this stock like a professional\"\nFirst step: intent classification\n\nClassify user request into one of these modes:\n\nSingle-Ticker Deep Dive\nMulti-Ticker/Universe Screening\nMacro/News-Led Investigation\nPortfolio Refresh\n\nIf ambiguous, choose the most conservative high-signal mode and note assumption.\n\nExecution workflow (ordered)\nParse user intent and select one routing mode.\nSet budget preset (Light, Standard, Deep) and hard request limits.\nExecute required upstream skills for the chosen route.\nValidate intermediate outputs for freshness, completeness, and conflicts.\nRun valuation layer only at the required depth.\nAggregate confidence across modules using the shared rubric.\nReturn output using the mandatory output contract.\nBudget policy (required)\n\nDefine and enforce budget at start:\n\nAPI budget: max vnstock calls\nNews budget: max headlines/articles per source\nValuation depth: quick multiples vs full DCF\n\nDefault safe presets:\n\nLight: 20-40 vnstock calls, headlines-only news, quick valuation\nStandard: 40-120 calls, mixed headlines + selected deep reads, scenario valuation\nDeep: 120+ calls, full context package, full valuation + sensitivity\n\nPrefer free-tier-safe pacing when using vnstock.\n\nFree-tier budget mapping (required)\n\nUse these hard limits for vnstock runs:\n\nGuest/no API key: max 20 requests/min (recommended pacing >= 3.2s/request).\nCommunity API key: max 60 requests/min (recommended pacing >= 1.1s/request; keep 3.2s/request if unstable).\n\nPolicy actions:\n\nEstimate call count before execution and choose the smallest viable preset.\nIf estimated calls exceed current budget, reduce scope (smaller universe or fewer modules).\nReuse cached artifacts before making new requests.\nStop scope expansion when remaining call budget < 10% and report partial results.\nRouting logic\nA) Single ticker request\n\nPriority: depth over breadth. Pipeline:\n\nvnstock-free-expert fetch financials + price behavior.\nOptional macro/news context if user asks or risk is macro-sensitive.\nequity-valuation-framework full thesis + valuation + risks.\nB) Multi-ticker/sector screening\n\nPriority: breadth first, then depth on finalists. Pipeline:\n\nvnstock-free-expert broad screener/ranking.\nSelect top candidates by objective criteria.\nRun quick valuation layer on shortlist.\nDeep valuation only for top 1-3 names.\nC) Macro/news-led request\n\nPriority: context first, valuation second. Pipeline:\n\nnso-macro-monitor + us-macro-news-monitor + vn-market-news-monitor.\nMap exposures to sectors/tickers.\nRun quick vnstock validation on impacted names.\nIf needed, run equity-valuation-framework for decision-critical names.\nD) Portfolio refresh\n\nPriority: risk control + monitoring triggers + sizing discipline. Pipeline:\n\nRe-score holdings and benchmark against alternatives.\nMacro/news stress overlay.\nRun equity-valuation-framework at least quick depth on key holdings/watchlist.\nRun portfolio-risk-manager to produce IPS mini + position sizing policy + per-ticker triggers/invalidation.\nFlag rebalance candidates with confidence and data gaps.\nMandatory output contract\n\nAlways include these sections in final response:\n\nWhat Was Fetched\nData sources used, date/time, and coverage.\nPipeline Chosen\nWhy this route was selected for current user intent.\nAssumptions\nExplicit assumptions on macro, valuation parameters, and data quality.\nResults\nRanked outputs or thesis summary with concise evidence.\nConfidence and Gaps\nConfidence level + missing data + potential impact.\nRisk Flags\nTop risks and monitoring triggers.\nNext-Step Options\n2-3 practical follow-up actions (e.g., deepen 1 ticker, expand peer set, update after next macro release).\nShared confidence rubric (required)\n\nUse a unified confidence output across pipeline steps:\n\nHigh: all critical modules complete with no material data blockers.\nMedium: one critical module has partial gaps but overall conclusion remains stable.\nLow: key module(s) missing or conflicting evidence makes conclusion fragile.\n\nAggregation rule:\n\nCompute per-module confidence first (vnstock, macro, news, valuation).\nOverall confidence = minimum of critical modules used in the chosen pipeline.\nIf module outputs conflict, cap overall confidence at Medium unless conflict is resolved with stronger evidence.\nAlways state which module is the bottleneck for confidence.\nGovernance and quality rules\nSingle source of truth: if user provides ACTIVE_WATCHLIST/holdings, do not self-modify it; only propose drafts requiring user confirmation.\nNever present uncertain outputs as facts.\nSeparate observed data from inference.\nPrefer reproducible logic over ad-hoc narratives.\nWhen data is insufficient, downgrade confidence and narrow claims.\nAvoid absolute buy/sell instructions; provide valuation framing and risk-aware interpretation.\nConflict resolution rules\n\nIf outputs from different modules disagree:\n\nTrust data quality hierarchy first (freshness/completeness/consistency).\nPrefer broad consensus metrics over fragile point estimates.\nKeep both interpretations and state decision boundary (what would change the conclusion).\nFallback behavior\nIf macro/news skills are unavailable: continue with vnstock + valuation only and mark missing context.\nIf valuation inputs are weak: provide screening + directional view; defer full valuation.\nIf API budget is near limit: stop expanding scope, summarize partial results, request user confirmation for deeper run.\nExample orchestration prompts\n\"Run a single-ticker deep dive for HPG with full valuation and risk register.\"\n\"Screen VN30 for top value-quality names, then deep value top 3.\"\n\"Start from macro shock signals, then identify Vietnamese sector winners/losers and value 2 candidates.\"\nTrigger examples\n\"Find the best Vietnam stocks this week with full reasoning.\"\n\"Compare three candidate tickers and tell me which one is strongest.\"\n\"Start from macro and news, then shortlist potential winners.\""
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/NDTChan/stock-picker-orchestrator",
    "publisherUrl": "https://clawhub.ai/NDTChan/stock-picker-orchestrator",
    "owner": "NDTChan",
    "version": "1.0.2",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "downloadUrl": "https://openagent3.xyz/downloads/stock-picker-orchestrator",
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}