{ "schemaVersion": "1.0", "item": { "slug": "customer-persona", "name": "Customer Persona", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/okaris/customer-persona", "canonicalUrl": "https://clawhub.ai/okaris/customer-persona", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/customer-persona", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=customer-persona", "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": "2026-04-30T16:55:25.780Z", "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/customer-persona" }, "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/customer-persona", "agentPageUrl": "https://openagent3.xyz/skills/customer-persona/agent", "manifestUrl": "https://openagent3.xyz/skills/customer-persona/agent.json", "briefUrl": "https://openagent3.xyz/skills/customer-persona/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": "Customer Persona", "body": "Create data-backed customer personas with research and visuals via inference.sh CLI." }, { "title": "Quick Start", "body": "curl -fsSL https://cli.inference.sh | sh && infsh login\n\n# Research your target market\ninfsh app run tavily/search-assistant --input '{\n \"query\": \"SaaS product manager demographics pain points 2024 survey\"\n}'\n\n# Generate a persona avatar\ninfsh app run falai/flux-dev-lora --input '{\n \"prompt\": \"professional headshot photograph of a 35-year-old woman, product manager, friendly confident expression, modern office background, natural lighting, business casual attire, realistic portrait\",\n \"width\": 1024,\n \"height\": 1024\n}'\n\nInstall note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available." }, { "title": "Persona Template", "body": "┌──────────────────────────────────────────────────────┐\n│ [Avatar Photo] │\n│ │\n│ SARAH CHEN, 34 │\n│ Product Manager at a Series B SaaS startup │\n│ │\n│ \"I spend more time making reports than making │\n│ decisions.\" │\n│ │\n├──────────────────────────────────────────────────────┤\n│ DEMOGRAPHICS │ PSYCHOGRAPHICS │\n│ Age: 30-38 │ Values: efficiency, data │\n│ Income: $120-160K │ Personality: analytical, │\n│ Education: BS/MBA │ organized, collaborative │\n│ Location: Urban US │ Interests: productivity, │\n│ Role: Product/PM │ leadership, AI tools │\n├──────────────────────────────────────────────────────┤\n│ GOALS │ PAIN POINTS │\n│ • Ship features │ • Too many meetings │\n│ faster │ • Manual reporting (15 │\n│ • Data-driven │ hrs/week) │\n│ decisions │ • Stakeholder alignment │\n│ • Team alignment │ is slow │\n│ • Career growth to │ • Tool sprawl (8+ apps) │\n│ Director │ • No single source of │\n│ │ truth │\n├──────────────────────────────────────────────────────┤\n│ CHANNELS │ BUYING TRIGGERS │\n│ • LinkedIn (daily) │ • Peer recommendation │\n│ • Product Hunt │ • Free trial experience │\n│ • Podcasts (commute) │ • Integration with Jira │\n│ • Lenny's Newsletter │ • Team plan pricing │\n│ • Twitter/X │ • ROI calculator │\n└──────────────────────────────────────────────────────┘" }, { "title": "Step 1: Research", "body": "Start with data, not assumptions.\n\n# Market demographics\ninfsh app run tavily/search-assistant --input '{\n \"query\": \"product manager salary demographics 2024 survey report\"\n}'\n\n# Pain points and challenges\ninfsh app run exa/search --input '{\n \"query\": \"biggest challenges facing product managers SaaS companies\"\n}'\n\n# Tool usage patterns\ninfsh app run tavily/search-assistant --input '{\n \"query\": \"most popular tools product managers use 2024 survey\"\n}'\n\n# Content consumption habits\ninfsh app run exa/answer --input '{\n \"question\": \"Where do product managers get their industry news and professional development?\"\n}'" }, { "title": "Step 2: Demographics", "body": "Use ranges, not exact values. Personas represent a segment, not one person.\n\nFieldFormatExampleAge rangeX-Y30-38Income range$X-$Y$120,000-$160,000EducationCommon degreesBS Computer Science, MBALocationRegion/typeUrban US, major tech hubsJob titleRole levelSenior PM, Product LeadCompany sizeRange50-500 employeesIndustrySectorB2B SaaS" }, { "title": "Step 3: Psychographics", "body": "What they think, value, and believe.\n\nCategoryQuestions to AnswerValuesWhat matters most to them professionally?AttitudesHow do they feel about their industry's direction?MotivationsWhat drives them at work?PersonalityAnalytical vs intuitive? Leader vs collaborator?InterestsWhat do they read/watch/listen to professionally?LifestyleWork-life balance preference? Remote/hybrid/office?" }, { "title": "Step 4: Goals", "body": "What they're trying to achieve (both professional and personal).\n\nProfessional:\n- Ship features faster with fewer meetings\n- Make data-driven decisions (not gut feelings)\n- Get promoted to Director of Product within 2 years\n- Build a more autonomous product team\n\nPersonal:\n- Leave work by 6pm more often\n- Be seen as a strategic leader, not a ticket manager\n- Stay current with industry trends without information overload" }, { "title": "Step 5: Pain Points", "body": "Quantify whenever possible. Vague pain = vague persona.\n\n❌ \"Has trouble with reporting\"\n✅ \"Spends 15 hours per week creating manual reports for 4 different stakeholders\"\n\n❌ \"Too many tools\"\n✅ \"Uses 8 different tools daily (Jira, Slack, Notion, Figma, Analytics, Sheets, Docs, Email) with no unified view\"\n\n❌ \"Meetings are a problem\"\n✅ \"Averages 6 hours of meetings per day, leaving only 2 hours for deep work\"" }, { "title": "Step 6: Jobs-to-be-Done (JTBD)", "body": "Three types of jobs:\n\nJob TypeDescriptionExampleFunctionalThe task they need to accomplish\"Prioritize the product backlog based on customer impact data\"EmotionalHow they want to feel\"Feel confident presenting to the exec team\"SocialHow they want to be perceived\"Be seen as the person who makes data-driven decisions\"" }, { "title": "Step 7: Buying Process", "body": "StageBehaviorAwarenessReads blog posts, sees peer recommendations on LinkedInConsiderationCompares 3-4 tools, reads G2/Capterra reviews, asks in Slack communitiesDecisionRequests demo, needs IT/security approval, evaluates team pricingInfluencersEngineering lead, VP of Product, CFO (for budget)Objections\"Will my team actually adopt it?\", \"Does it integrate with Jira?\"Trigger eventNew quarter with aggressive goals, new VP demanding better reporting" }, { "title": "Step 8: Generate Avatar", "body": "# Match demographics: age, gender, ethnicity, professional context\ninfsh app run falai/flux-dev-lora --input '{\n \"prompt\": \"professional headshot photograph of a 34-year-old Asian American woman, product manager, warm confident smile, modern tech office background, natural lighting, wearing smart casual blouse, realistic portrait photography, sharp focus\",\n \"width\": 1024,\n \"height\": 1024\n}'\n\nAvatar tips:\n\nMatch the age range, ethnicity representation, and professional context\nUse \"professional headshot photograph\" for realistic results\nFriendly, approachable expression (not stock-photo-stiff)\nBackground suggests their work environment\nBusiness casual or industry-appropriate attire" }, { "title": "The Anti-Persona", "body": "Equally important: who is NOT your customer.\n\nANTI-PERSONA: \"Enterprise Earl\"\n- CTO at a 5,000+ person enterprise\n- Needs SOC 2, HIPAA, on-premise deployment\n- 18-month procurement cycles\n- Wants white-glove onboarding and dedicated CSM\n- WHY NOT: Our product is self-serve SaaS for SMB/mid-market.\n Enterprise needs would require 2+ years of product investment.\n\nAnti-personas prevent wasted effort on customers you can't serve." }, { "title": "Multiple Personas", "body": "Most products have 2-4 personas. More than 4 = too many to serve well.\n\nPriorityPersonaRolePrimaryThe main user and buyerWho you optimize forSecondaryInfluences the buying decisionWho you need to convinceTertiaryUses the product occasionallyWho you support, not target" }, { "title": "Validation", "body": "Personas based on assumptions are fiction. Validate with:\n\nMethodWhat You LearnCustomer interviews (5-10)Real language, real pain pointsSupport ticket analysisActual problems, not assumed onesAnalytics dataActual behavior, not reported behaviorSurvey (50+ responses)Quantified patterns across segmentsSales call recordingsObjections, buying triggers, language" }, { "title": "Common Mistakes", "body": "MistakeProblemFixBased on assumptionsFiction, not researchStart with dataToo many personas (6+)Can't serve everyone wellMax 3-4Vague pain pointsNot actionableQuantify everythingDemographics onlyMisses motivations and behaviorAdd psychographics, JTBDNever updatedBecomes outdatedReview quarterlyNo anti-personaWasted effort on wrong customersDefine who you're NOT forSingle persona for allDifferent users have different needsPrimary/secondary/tertiary" }, { "title": "Related Skills", "body": "npx skills add inference-sh/skills@web-search\nnpx skills add inference-sh/skills@ai-image-generation\nnpx skills add inference-sh/skills@prompt-engineering\n\nBrowse all apps: infsh app list" } ], "body": "Customer Persona\n\nCreate data-backed customer personas with research and visuals via inference.sh CLI.\n\nQuick Start\ncurl -fsSL https://cli.inference.sh | sh && infsh login\n\n# Research your target market\ninfsh app run tavily/search-assistant --input '{\n \"query\": \"SaaS product manager demographics pain points 2024 survey\"\n}'\n\n# Generate a persona avatar\ninfsh app run falai/flux-dev-lora --input '{\n \"prompt\": \"professional headshot photograph of a 35-year-old woman, product manager, friendly confident expression, modern office background, natural lighting, business casual attire, realistic portrait\",\n \"width\": 1024,\n \"height\": 1024\n}'\n\n\nInstall note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.\n\nPersona Template\n┌──────────────────────────────────────────────────────┐\n│ [Avatar Photo] │\n│ │\n│ SARAH CHEN, 34 │\n│ Product Manager at a Series B SaaS startup │\n│ │\n│ \"I spend more time making reports than making │\n│ decisions.\" │\n│ │\n├──────────────────────────────────────────────────────┤\n│ DEMOGRAPHICS │ PSYCHOGRAPHICS │\n│ Age: 30-38 │ Values: efficiency, data │\n│ Income: $120-160K │ Personality: analytical, │\n│ Education: BS/MBA │ organized, collaborative │\n│ Location: Urban US │ Interests: productivity, │\n│ Role: Product/PM │ leadership, AI tools │\n├──────────────────────────────────────────────────────┤\n│ GOALS │ PAIN POINTS │\n│ • Ship features │ • Too many meetings │\n│ faster │ • Manual reporting (15 │\n│ • Data-driven │ hrs/week) │\n│ decisions │ • Stakeholder alignment │\n│ • Team alignment │ is slow │\n│ • Career growth to │ • Tool sprawl (8+ apps) │\n│ Director │ • No single source of │\n│ │ truth │\n├──────────────────────────────────────────────────────┤\n│ CHANNELS │ BUYING TRIGGERS │\n│ • LinkedIn (daily) │ • Peer recommendation │\n│ • Product Hunt │ • Free trial experience │\n│ • Podcasts (commute) │ • Integration with Jira │\n│ • Lenny's Newsletter │ • Team plan pricing │\n│ • Twitter/X │ • ROI calculator │\n└──────────────────────────────────────────────────────┘\n\nBuilding a Persona Step-by-Step\nStep 1: Research\n\nStart with data, not assumptions.\n\n# Market demographics\ninfsh app run tavily/search-assistant --input '{\n \"query\": \"product manager salary demographics 2024 survey report\"\n}'\n\n# Pain points and challenges\ninfsh app run exa/search --input '{\n \"query\": \"biggest challenges facing product managers SaaS companies\"\n}'\n\n# Tool usage patterns\ninfsh app run tavily/search-assistant --input '{\n \"query\": \"most popular tools product managers use 2024 survey\"\n}'\n\n# Content consumption habits\ninfsh app run exa/answer --input '{\n \"question\": \"Where do product managers get their industry news and professional development?\"\n}'\n\nStep 2: Demographics\n\nUse ranges, not exact values. Personas represent a segment, not one person.\n\nField\tFormat\tExample\nAge range\tX-Y\t30-38\nIncome range\t$X-$Y\t$120,000-$160,000\nEducation\tCommon degrees\tBS Computer Science, MBA\nLocation\tRegion/type\tUrban US, major tech hubs\nJob title\tRole level\tSenior PM, Product Lead\nCompany size\tRange\t50-500 employees\nIndustry\tSector\tB2B SaaS\nStep 3: Psychographics\n\nWhat they think, value, and believe.\n\nCategory\tQuestions to Answer\nValues\tWhat matters most to them professionally?\nAttitudes\tHow do they feel about their industry's direction?\nMotivations\tWhat drives them at work?\nPersonality\tAnalytical vs intuitive? Leader vs collaborator?\nInterests\tWhat do they read/watch/listen to professionally?\nLifestyle\tWork-life balance preference? Remote/hybrid/office?\nStep 4: Goals\n\nWhat they're trying to achieve (both professional and personal).\n\nProfessional:\n- Ship features faster with fewer meetings\n- Make data-driven decisions (not gut feelings)\n- Get promoted to Director of Product within 2 years\n- Build a more autonomous product team\n\nPersonal:\n- Leave work by 6pm more often\n- Be seen as a strategic leader, not a ticket manager\n- Stay current with industry trends without information overload\n\nStep 5: Pain Points\n\nQuantify whenever possible. Vague pain = vague persona.\n\n❌ \"Has trouble with reporting\"\n✅ \"Spends 15 hours per week creating manual reports for 4 different stakeholders\"\n\n❌ \"Too many tools\"\n✅ \"Uses 8 different tools daily (Jira, Slack, Notion, Figma, Analytics, Sheets, Docs, Email) with no unified view\"\n\n❌ \"Meetings are a problem\"\n✅ \"Averages 6 hours of meetings per day, leaving only 2 hours for deep work\"\n\nStep 6: Jobs-to-be-Done (JTBD)\n\nThree types of jobs:\n\nJob Type\tDescription\tExample\nFunctional\tThe task they need to accomplish\t\"Prioritize the product backlog based on customer impact data\"\nEmotional\tHow they want to feel\t\"Feel confident presenting to the exec team\"\nSocial\tHow they want to be perceived\t\"Be seen as the person who makes data-driven decisions\"\nStep 7: Buying Process\nStage\tBehavior\nAwareness\tReads blog posts, sees peer recommendations on LinkedIn\nConsideration\tCompares 3-4 tools, reads G2/Capterra reviews, asks in Slack communities\nDecision\tRequests demo, needs IT/security approval, evaluates team pricing\nInfluencers\tEngineering lead, VP of Product, CFO (for budget)\nObjections\t\"Will my team actually adopt it?\", \"Does it integrate with Jira?\"\nTrigger event\tNew quarter with aggressive goals, new VP demanding better reporting\nStep 8: Generate Avatar\n# Match demographics: age, gender, ethnicity, professional context\ninfsh app run falai/flux-dev-lora --input '{\n \"prompt\": \"professional headshot photograph of a 34-year-old Asian American woman, product manager, warm confident smile, modern tech office background, natural lighting, wearing smart casual blouse, realistic portrait photography, sharp focus\",\n \"width\": 1024,\n \"height\": 1024\n}'\n\n\nAvatar tips:\n\nMatch the age range, ethnicity representation, and professional context\nUse \"professional headshot photograph\" for realistic results\nFriendly, approachable expression (not stock-photo-stiff)\nBackground suggests their work environment\nBusiness casual or industry-appropriate attire\nThe Anti-Persona\n\nEqually important: who is NOT your customer.\n\nANTI-PERSONA: \"Enterprise Earl\"\n- CTO at a 5,000+ person enterprise\n- Needs SOC 2, HIPAA, on-premise deployment\n- 18-month procurement cycles\n- Wants white-glove onboarding and dedicated CSM\n- WHY NOT: Our product is self-serve SaaS for SMB/mid-market.\n Enterprise needs would require 2+ years of product investment.\n\n\nAnti-personas prevent wasted effort on customers you can't serve.\n\nMultiple Personas\n\nMost products have 2-4 personas. More than 4 = too many to serve well.\n\nPriority\tPersona\tRole\nPrimary\tThe main user and buyer\tWho you optimize for\nSecondary\tInfluences the buying decision\tWho you need to convince\nTertiary\tUses the product occasionally\tWho you support, not target\nValidation\n\nPersonas based on assumptions are fiction. Validate with:\n\nMethod\tWhat You Learn\nCustomer interviews (5-10)\tReal language, real pain points\nSupport ticket analysis\tActual problems, not assumed ones\nAnalytics data\tActual behavior, not reported behavior\nSurvey (50+ responses)\tQuantified patterns across segments\nSales call recordings\tObjections, buying triggers, language\nCommon Mistakes\nMistake\tProblem\tFix\nBased on assumptions\tFiction, not research\tStart with data\nToo many personas (6+)\tCan't serve everyone well\tMax 3-4\nVague pain points\tNot actionable\tQuantify everything\nDemographics only\tMisses motivations and behavior\tAdd psychographics, JTBD\nNever updated\tBecomes outdated\tReview quarterly\nNo anti-persona\tWasted effort on wrong customers\tDefine who you're NOT for\nSingle persona for all\tDifferent users have different needs\tPrimary/secondary/tertiary\nRelated Skills\nnpx skills add inference-sh/skills@web-search\nnpx skills add inference-sh/skills@ai-image-generation\nnpx skills add inference-sh/skills@prompt-engineering\n\n\nBrowse all apps: infsh app list" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/okaris/customer-persona", "publisherUrl": "https://clawhub.ai/okaris/customer-persona", "owner": "okaris", "version": "0.1.5", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/customer-persona", "downloadUrl": "https://openagent3.xyz/downloads/customer-persona", "agentUrl": "https://openagent3.xyz/skills/customer-persona/agent", "manifestUrl": "https://openagent3.xyz/skills/customer-persona/agent.json", "briefUrl": "https://openagent3.xyz/skills/customer-persona/agent.md" } }