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  "item": {
    "slug": "market-research",
    "name": "Market Research",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
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      "competitor-analysis.md",
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      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
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      "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."
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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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      "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/market-research"
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      "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."
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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": "When to Use",
        "body": "Use this skill when the user needs market evidence, not just opinions. It should activate for market sizing, opportunity validation, competitor landscape work, segment selection, pricing research, whitespace mapping, and expansion decisions.\n\nThis skill is especially useful when the user asks \"is this market worth entering?\", \"how big is the real opportunity?\", \"who else is already winning here?\", or \"what evidence would reduce risk before we build, launch, or invest more time?\""
      },
      {
        "title": "Quick Reference",
        "body": "Use the smallest relevant file for the task.\n\nTopicFileCompetitor landscape and gap frameworkscompetitor-analysis.mdCustomer validation and pricing methodsvalidation.mdEvidence quality and confidence rubricevidence-grading.md"
      },
      {
        "title": "Research Brief",
        "body": "Start every serious engagement with a compact brief like this:\n\nMARKET RESEARCH BRIEF\nDecision:\nTarget customer:\nGeography:\nCategory or substitute set:\nTime horizon:\nMust-answer questions:\nEvidence bar:\n\nIf the brief is weak, the research will drift. Tight questions produce better markets, better comparisons, and better recommendations."
      },
      {
        "title": "Research Modes",
        "body": "Pick the lightest mode that still answers the decision well. Depth should follow the decision, not ego.\n\nModeBest ForMinimum OutputQuick scanEarly idea filteringMarket snapshot, top competitors, 2-3 key risksDecision memoFounders, operators, or investors making a next-step callSizing view, segment map, competitor comparison, recommendationLaunch validationNew product, feature, or niche entryDemand signals, pricing checks, interview findings, no-go risksExpansion studyNew geography, segment, or adjacent categorySAM filters, local competitors, channel constraints, rollout logic"
      },
      {
        "title": "1. Define the Decision Before Research Starts",
        "body": "Always anchor the work to one decision:\n\nenter or avoid a market\nprioritize one segment over another\nshape positioning and pricing\nvalidate whether to build, launch, or expand\n\nResearch without a decision target becomes a document full of facts and no leverage."
      },
      {
        "title": "2. Size the Market in Layers, Not in Headlines",
        "body": "Never stop at a single big number. Separate:\n\nLayerQuestionFailure ModeTAMHow large is the broad category?Sounds exciting but too abstractSAMWhich part is actually reachable for this product and customer?Overstates opportunitySOMWhat can realistically be won in a specific window?Turns fantasy into planning\n\nWhenever possible, show the formula, assumptions, and confidence level. A smaller defensible number is better than a huge vague one."
      },
      {
        "title": "3. Triangulate Evidence and Grade Source Quality",
        "body": "Use at least three evidence families before making a strong claim:\n\nmarket structure data: census, filings, association reports, public benchmarks\nbehavior data: search trends, reviews, job posts, product usage proxies\ndirect customer evidence: interviews, surveys, waitlists, prepayments, LOIs\n\nSee evidence-grading.md for the confidence ladder. If all evidence comes from one source type, the conclusion is still fragile."
      },
      {
        "title": "4. Segment Before You Generalize",
        "body": "Do not treat \"the market\" as one blob. Split by:\n\ncustomer type\ncompany size\ngeography\nurgency of problem\nwillingness to pay\nexisting alternatives\n\nMany bad conclusions come from averaging together segments that behave very differently."
      },
      {
        "title": "5. Map Competition Around Customer Choice, Not Only Brand Names",
        "body": "Competitor analysis includes:\n\ndirect competitors\nindirect substitutes\ninternal workarounds such as spreadsheets, agencies, or manual processes\nfuture entrants with clear adjacency\n\nUse competitor-analysis.md to build a positioning map, review-mining matrix, and whitespace view. The real competitor is whatever the customer would choose instead of the proposed offer."
      },
      {
        "title": "6. Favor Revealed Demand Over Stated Enthusiasm",
        "body": "Use interviews and surveys to learn language and patterns, but trust behavior more than compliments.\n\nStrong signals:\n\nrepeated painful workarounds\nurgent problem frequency\ncustomers introducing others with the same pain\nwillingness to pay, pilot, pre-order, or switch\n\nWeak signals:\n\n\"great idea\"\ngeneric survey positivity\nlikes, followers, or broad curiosity with no concrete action\n\nSee validation.md for interview, survey, and pricing research structures."
      },
      {
        "title": "7. Finish with a Decision-Ready Recommendation",
        "body": "Every deliverable should end with:\n\nRECOMMENDATION\n- What the evidence supports\n- What remains uncertain\n- What should happen next\n- What would change the recommendation\n\nGood market research reduces uncertainty. Great market research makes the next move obvious."
      },
      {
        "title": "Common Traps",
        "body": "Top-down theater -> Huge category numbers create false confidence and weak planning.\nCompetitor tunnel vision -> Looking only at visible brands misses substitutes and status-quo behavior.\nSegment blur -> Mixing SMB, enterprise, prosumer, and consumer demand corrupts the conclusion.\nSource recency failure -> Old pricing pages and stale reports make current decisions look safer than they are.\nOpinion inflation -> Survey excitement without action gets mistaken for demand.\nNo confidence labeling -> Strong and weak evidence get presented with the same weight.\nResearch with no recommendation -> User gets a report but no practical decision path."
      },
      {
        "title": "Security & Privacy",
        "body": "This skill does NOT:\n\nmake hidden outbound requests\nfabricate customer signals or fake interviews\naccess private competitor systems\ncreate persistent memory or maintain a local workspace by default\nstore secrets unless the user explicitly asks for that workflow\n\nLive web research is appropriate only when the task requires current market data or the user asks for external evidence."
      },
      {
        "title": "Related Skills",
        "body": "Install with clawhub install <slug> if user confirms:\n\npricing - Convert validation findings into pricing strategy and willingness-to-pay decisions.\nseo - Translate validated demand into search-driven positioning and content opportunities.\nbusiness - Connect market findings to strategic choices and operating tradeoffs.\ncompare - Structure side-by-side option analysis when multiple markets or segments compete.\ndata-analysis - Turn collected numbers into cleaner interpretation and supporting visuals."
      },
      {
        "title": "Feedback",
        "body": "If useful: clawhub star market-research\nStay updated: clawhub sync"
      }
    ],
    "body": "When to Use\n\nUse this skill when the user needs market evidence, not just opinions. It should activate for market sizing, opportunity validation, competitor landscape work, segment selection, pricing research, whitespace mapping, and expansion decisions.\n\nThis skill is especially useful when the user asks \"is this market worth entering?\", \"how big is the real opportunity?\", \"who else is already winning here?\", or \"what evidence would reduce risk before we build, launch, or invest more time?\"\n\nQuick Reference\n\nUse the smallest relevant file for the task.\n\nTopic\tFile\nCompetitor landscape and gap frameworks\tcompetitor-analysis.md\nCustomer validation and pricing methods\tvalidation.md\nEvidence quality and confidence rubric\tevidence-grading.md\nResearch Brief\n\nStart every serious engagement with a compact brief like this:\n\nMARKET RESEARCH BRIEF\nDecision:\nTarget customer:\nGeography:\nCategory or substitute set:\nTime horizon:\nMust-answer questions:\nEvidence bar:\n\n\nIf the brief is weak, the research will drift. Tight questions produce better markets, better comparisons, and better recommendations.\n\nResearch Modes\n\nPick the lightest mode that still answers the decision well. Depth should follow the decision, not ego.\n\nMode\tBest For\tMinimum Output\nQuick scan\tEarly idea filtering\tMarket snapshot, top competitors, 2-3 key risks\nDecision memo\tFounders, operators, or investors making a next-step call\tSizing view, segment map, competitor comparison, recommendation\nLaunch validation\tNew product, feature, or niche entry\tDemand signals, pricing checks, interview findings, no-go risks\nExpansion study\tNew geography, segment, or adjacent category\tSAM filters, local competitors, channel constraints, rollout logic\nCore Rules\n1. Define the Decision Before Research Starts\n\nAlways anchor the work to one decision:\n\nenter or avoid a market\nprioritize one segment over another\nshape positioning and pricing\nvalidate whether to build, launch, or expand\n\nResearch without a decision target becomes a document full of facts and no leverage.\n\n2. Size the Market in Layers, Not in Headlines\n\nNever stop at a single big number. Separate:\n\nLayer\tQuestion\tFailure Mode\nTAM\tHow large is the broad category?\tSounds exciting but too abstract\nSAM\tWhich part is actually reachable for this product and customer?\tOverstates opportunity\nSOM\tWhat can realistically be won in a specific window?\tTurns fantasy into planning\n\nWhenever possible, show the formula, assumptions, and confidence level. A smaller defensible number is better than a huge vague one.\n\n3. Triangulate Evidence and Grade Source Quality\n\nUse at least three evidence families before making a strong claim:\n\nmarket structure data: census, filings, association reports, public benchmarks\nbehavior data: search trends, reviews, job posts, product usage proxies\ndirect customer evidence: interviews, surveys, waitlists, prepayments, LOIs\n\nSee evidence-grading.md for the confidence ladder. If all evidence comes from one source type, the conclusion is still fragile.\n\n4. Segment Before You Generalize\n\nDo not treat \"the market\" as one blob. Split by:\n\ncustomer type\ncompany size\ngeography\nurgency of problem\nwillingness to pay\nexisting alternatives\n\nMany bad conclusions come from averaging together segments that behave very differently.\n\n5. Map Competition Around Customer Choice, Not Only Brand Names\n\nCompetitor analysis includes:\n\ndirect competitors\nindirect substitutes\ninternal workarounds such as spreadsheets, agencies, or manual processes\nfuture entrants with clear adjacency\n\nUse competitor-analysis.md to build a positioning map, review-mining matrix, and whitespace view. The real competitor is whatever the customer would choose instead of the proposed offer.\n\n6. Favor Revealed Demand Over Stated Enthusiasm\n\nUse interviews and surveys to learn language and patterns, but trust behavior more than compliments.\n\nStrong signals:\n\nrepeated painful workarounds\nurgent problem frequency\ncustomers introducing others with the same pain\nwillingness to pay, pilot, pre-order, or switch\n\nWeak signals:\n\n\"great idea\"\ngeneric survey positivity\nlikes, followers, or broad curiosity with no concrete action\n\nSee validation.md for interview, survey, and pricing research structures.\n\n7. Finish with a Decision-Ready Recommendation\n\nEvery deliverable should end with:\n\nRECOMMENDATION\n- What the evidence supports\n- What remains uncertain\n- What should happen next\n- What would change the recommendation\n\n\nGood market research reduces uncertainty. Great market research makes the next move obvious.\n\nCommon Traps\nTop-down theater -> Huge category numbers create false confidence and weak planning.\nCompetitor tunnel vision -> Looking only at visible brands misses substitutes and status-quo behavior.\nSegment blur -> Mixing SMB, enterprise, prosumer, and consumer demand corrupts the conclusion.\nSource recency failure -> Old pricing pages and stale reports make current decisions look safer than they are.\nOpinion inflation -> Survey excitement without action gets mistaken for demand.\nNo confidence labeling -> Strong and weak evidence get presented with the same weight.\nResearch with no recommendation -> User gets a report but no practical decision path.\nSecurity & Privacy\n\nThis skill does NOT:\n\nmake hidden outbound requests\nfabricate customer signals or fake interviews\naccess private competitor systems\ncreate persistent memory or maintain a local workspace by default\nstore secrets unless the user explicitly asks for that workflow\n\nLive web research is appropriate only when the task requires current market data or the user asks for external evidence.\n\nRelated Skills\n\nInstall with clawhub install <slug> if user confirms:\n\npricing - Convert validation findings into pricing strategy and willingness-to-pay decisions.\nseo - Translate validated demand into search-driven positioning and content opportunities.\nbusiness - Connect market findings to strategic choices and operating tradeoffs.\ncompare - Structure side-by-side option analysis when multiple markets or segments compete.\ndata-analysis - Turn collected numbers into cleaner interpretation and supporting visuals.\nFeedback\nIf useful: clawhub star market-research\nStay updated: clawhub sync"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/ivangdavila/market-research",
    "publisherUrl": "https://clawhub.ai/ivangdavila/market-research",
    "owner": "ivangdavila",
    "version": "1.0.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "downloadUrl": "https://openagent3.xyz/downloads/market-research",
    "agentUrl": "https://openagent3.xyz/skills/market-research/agent",
    "manifestUrl": "https://openagent3.xyz/skills/market-research/agent.json",
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}