[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-tasteray-elicitation-en":3,"guides-for-tasteray-elicitation":383,"similar-k17akp5d0t6qtbnvxqce0tv6t586m3qg-en":384},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":243,"isFallback":229,"parentExtension":247,"providers":299,"relations":303,"repo":304,"tags":380,"workflow":381},1778697963443.4849,"k17akp5d0t6qtbnvxqce0tv6t586m3qg",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to: (1) understand someone's core values and motivations, (2) discover formative memories and life-defining experiences, (3) detect emotional schemas and belief patterns, (4) build psychological profiles through gradual disclosure, (5) conduct user interviews that reveal deep insights, (6) design conversational flows for personal discovery, (7) identify identity themes like redemption and contamination narratives, (8) elicit authentic self-disclosure without interrogation.",{"claudeCode":12},"tasteray/skills","elicitation","https://github.com/tasteray/skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":227,"workflow":241},1778698017129.9841,"kn76qv06acpapffq8j44zjrkrn86m7gf","en",{"checks":20,"evaluatedAt":196,"extensionSummary":197,"features":198,"nonGoals":204,"promptVersionExtension":208,"promptVersionScoring":209,"purpose":210,"rationale":211,"score":212,"summary":213,"tags":214,"targetMarket":220,"tier":221,"useCases":222},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,121,124,127,130,133,136,139,143,147,151,154,158,161,164,167,170,174,177,180,183,186,189,193],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly names the user problem of needing to understand individuals through natural conversation, grounded in specific research traditions.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers a unique approach to psychological profiling by synthesizing multiple research traditions and focusing on patient, non-intrusive elicitation, providing value beyond basic conversational AI.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill is production-ready, providing a complete lifecycle for understanding users through conversation, with clear goals and techniques.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill has a clear, single responsibility focused on psychological profiling and elicitation through conversation, avoiding unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's capabilities, research grounding, and intended use cases.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This skill does not expose tools in the traditional sense; its functionality is executed via conversational interaction guided by its SKILL.md instructions.",{"category":45,"check":46,"severity":42,"summary":47},"Documentation","Configuration & parameter reference","The skill does not have configurable parameters or explicit configurations beyond its core instructions.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","As this is a conversational skill and not a tool-based one, tool naming is not applicable.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","This skill operates through natural language conversation and does not expose a tool/command interface with input/output schemas.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The extension is licensed under the MIT license, which is a permissive open-source license, as indicated in the LICENSE file and README.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on April 16, 2026, which is within the last 3 months.",{"category":59,"check":63,"severity":42,"summary":64},"Dependency Management","The skill does not appear to have any third-party dependencies that require management.",{"category":66,"check":67,"severity":42,"summary":68},"Security","Secret Management","The skill does not handle or expose secrets.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill's content is structured as instructions for an LLM and does not appear to involve loading or executing external, untrusted data.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill's content is self-contained within the repository and does not fetch external code or data at runtime.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The skill operates through conversational interaction and does not interact with the file system or external processes.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","The skill's nature as a conversational instruction set does not involve executing code that could lead to sandbox escapes.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill's purpose is conversational elicitation and does not involve reading confidential data or making outbound calls for exfiltration.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content appears free of hidden-steering tricks; descriptions are clean ASCII.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's content is human-readable prose and instructions, not obfuscated code.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill makes no assumptions about the user's project structure as it operates purely through conversation.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","There are 0 open and 0 closed issues in the last 90 days, indicating a lack of recent engagement or activity, but no negative trend.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The skill declares a version ('1.0') in its frontmatter, meeting the requirement for a meaningful version signal.",{"category":104,"check":105,"severity":42,"summary":106},"Code Execution","Validation","This skill does not execute code or process structured inputs/outputs that require schema validation.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The skill is purely conversational and analytical, performing no destructive operations.",{"category":104,"check":111,"severity":42,"summary":112},"Error Handling","As a conversational skill, it does not have executable code paths with error handling in the traditional sense.",{"category":104,"check":114,"severity":42,"summary":115},"Logging","This skill does not perform actions that require local audit logging.",{"category":117,"check":118,"severity":119,"summary":120},"Compliance","GDPR","info","The skill operates on conversational data which may include personal data, but it does not submit this data to third parties, nor does it perform explicit sanitization beyond what the LLM provides.",{"category":117,"check":122,"severity":24,"summary":123},"Target market","The skill's focus on psychological elicitation and research-based conversational techniques is globally applicable with no regional restrictions.",{"category":92,"check":125,"severity":24,"summary":126},"Runtime stability","The skill operates within the agent's conversational environment and makes no assumptions about specific editors, shells, or OS runtimes.",{"category":45,"check":128,"severity":24,"summary":129},"README","The README file clearly states the extension's purpose, what it enables, and installation instructions.",{"category":33,"check":131,"severity":42,"summary":132},"Tool surface size","This is a conversational skill and does not expose multiple tools or commands.",{"category":40,"check":134,"severity":42,"summary":135},"Overlapping near-synonym tools","This skill does not expose multiple tools, so overlapping synonyms are not applicable.",{"category":45,"check":137,"severity":24,"summary":138},"Phantom features","All features advertised in the README and SKILL.md are implemented through the conversational guidance and research synthesis provided by the skill.",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","The README provides clear, copy-pasteable installation instructions using skills.sh and mentions example invocations.",{"category":144,"check":145,"severity":42,"summary":146},"Errors","Actionable error messages","The skill operates conversationally and does not have user-facing error paths that require actionable messages.",{"category":148,"check":149,"severity":42,"summary":150},"Execution","Pinned dependencies","The skill does not use third-party dependencies or execute scripts with external interpreter requirements.",{"category":33,"check":152,"severity":42,"summary":153},"Dry-run preview","The skill is purely conversational and does not perform state-changing operations or send data outward, making dry-run functionality not applicable.",{"category":155,"check":156,"severity":42,"summary":157},"Protocol","Idempotent retry & timeouts","The skill is conversational and does not involve remote calls or state-changing operations requiring idempotency or timeouts.",{"category":117,"check":159,"severity":24,"summary":160},"Telemetry opt-in","There is no indication of telemetry being emitted by this skill, and thus no opt-out or opt-in mechanism is required or present.",{"category":40,"check":162,"severity":24,"summary":163},"Precise Purpose","The skill's purpose is precisely stated in the frontmatter and description, outlining what it does (psychological profiling through conversation) and when to use it (understanding values, motivations, formative memories, etc.).",{"category":40,"check":165,"severity":24,"summary":166},"Concise Frontmatter","The frontmatter is concise and self-contained, providing a clear summary of the skill's core capability and intended use cases.",{"category":45,"check":168,"severity":24,"summary":169},"Concise Body","The SKILL.md body is well-structured, delegates deeper material to reference files, and stays within a reasonable length.",{"category":171,"check":172,"severity":24,"summary":173},"Context","Progressive Disclosure","The SKILL.md uses relative links to separate reference files for detailed techniques, adhering to progressive disclosure.",{"category":171,"check":175,"severity":42,"summary":176},"Forked exploration","This skill does not involve deep exploration of code or external documents that would necessitate a forked context.",{"category":22,"check":178,"severity":119,"summary":179},"Usage examples","The README provides general invocation examples, but the SKILL.md itself does not contain specific end-to-end examples demonstrating input, invocation, and output for each capability.",{"category":22,"check":181,"severity":119,"summary":182},"Edge cases","The SKILL.md documents limitations and anti-patterns, but does not explicitly list specific failure modes with symptoms and recovery steps for all potential conversational states.",{"category":104,"check":184,"severity":42,"summary":185},"Tool Fallback","This skill does not rely on external tools like MCP servers and therefore does not require fallbacks.",{"category":92,"check":187,"severity":24,"summary":188},"Stack assumptions","The skill operates within the agent's conversational environment and declares no specific stack assumptions.",{"category":190,"check":191,"severity":24,"summary":192},"Safety","Halt on unexpected state","The skill's instructions imply a structured approach to conversation, and the anti-patterns section warns against premature depth or interrogation, suggesting a cautious approach to conversational state.",{"category":92,"check":194,"severity":24,"summary":195},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills; its focus is solely on conversational elicitation.",1778698017024,"This skill guides AI agents to perform psychological profiling through natural conversation, leveraging research from narrative identity, self-defining memory elicitation, and motivational interviewing. It aims to uncover core values, motivations, formative memories, and belief patterns to build psychological profiles and conduct insightful user interviews.",[199,200,201,202,203],"Psychological profiling via conversation","Elicits core values and motivations","Discovers formative and life-defining memories","Detects emotional schemas and belief patterns","Builds profiles through gradual disclosure",[205,206,207],"Conducting therapy or diagnosis","Interrogating users","Building profiles through blunt questioning","3.0.0","4.4.0","To enable AI agents to understand individuals deeply through patient, research-backed conversation, facilitating authentic self-disclosure and uncovering core values and motivations.","The skill is well-documented, adheres to best practices, and has a clear purpose. Minor info-level findings for usage examples and edge cases documentation prevent a perfect score.",95,"Excellent skill for psychological profiling through research-backed conversation.",[215,216,13,217,218,219],"psychology","conversation","identity","values","research","global","verified",[223,224,225,226],"Understand someone's core values and motivations","Discover formative memories and life-defining experiences","Conduct user interviews that reveal deep insights","Design conversational flows for personal discovery",{"codeQuality":228,"collectedAt":230,"documentation":231,"maintenance":234,"security":238,"testCoverage":240},{"hasLockfile":229},false,1778698004524,{"descriptionLength":232,"readmeSize":233},684,4085,{"closedIssues90d":8,"forks":8,"hasChangelog":229,"manifestVersion":235,"openIssues90d":8,"pushedAt":236,"stars":237},"1.0",1776340097000,16,{"hasNpmPackage":229,"license":239,"smitheryVerified":229},"MIT",{"hasCi":229,"hasTests":229},{"updatedAt":242},1778698017130,{"basePath":13,"githubOwner":244,"githubRepo":245,"locale":18,"slug":13,"type":246},"tasteray","skills","skill",{"_creationTime":248,"_id":249,"community":250,"display":251,"identity":254,"parentExtension":256,"providers":288,"relations":294,"tags":295,"workflow":296},1778697963443.4844,"k175271xmxfwv5wgvdmjsg40kd86n3zp",{"reviewCount":8},{"description":252,"installMethods":253,"name":13,"sourceUrl":14},"Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to understand core values, discover formative memories, detect emotional schemas, or build psychological profiles through gradual disclosure.",{"claudeCode":13},{"basePath":13,"githubOwner":244,"githubRepo":245,"locale":18,"slug":13,"type":255},"plugin",{"_creationTime":257,"_id":258,"community":259,"display":260,"identity":264,"providers":267,"relations":281,"tags":283,"workflow":284},1778697963443.4841,"k176abyf6zd0nraq60x6kn4cy186mya5",{"reviewCount":8},{"description":261,"installMethods":262,"name":263,"sourceUrl":14},"Psychological profiling skills for natural conversation using research-backed techniques",{"claudeCode":12},"tasteray-skills",{"basePath":265,"githubOwner":244,"githubRepo":245,"locale":18,"slug":245,"type":266},"","marketplace",{"evaluate":268,"extract":275},{"promptVersionExtension":269,"promptVersionScoring":209,"score":270,"tags":271,"targetMarket":220,"tier":221},"3.1.0",96,[215,272,216,273,274],"recommendations","personalization","user-understanding",{"commitSha":276,"marketplace":277,"plugin":279},"HEAD",{"name":263,"pluginCount":278},2,{"mcpCount":8,"provider":280,"skillCount":8},"classify",{"repoId":282},"kd71g6tdfax8bbc709p7x2z8p586m87d",[216,273,215,272,274],{"evaluatedAt":285,"extractAt":286,"updatedAt":287},1778697974234,1778697963443,1778698069708,{"evaluate":289,"extract":293},{"promptVersionExtension":208,"promptVersionScoring":209,"score":212,"tags":290,"targetMarket":220,"tier":292},[215,216,272,291,273,219],"profiling","community",{"commitSha":276},{"parentExtensionId":258,"repoId":282},[216,273,291,215,272,219],{"evaluatedAt":297,"extractAt":286,"updatedAt":298},1778697987967,1778698069882,{"evaluate":300,"extract":302},{"promptVersionExtension":208,"promptVersionScoring":209,"score":212,"tags":301,"targetMarket":220,"tier":221},[215,216,13,217,218,219],{"commitSha":276},{"parentExtensionId":249,"repoId":282},{"_creationTime":305,"_id":282,"identity":306,"providers":307,"workflow":376},1778697959310.8623,{"githubOwner":244,"githubRepo":245,"sourceUrl":14},{"classify":308,"discover":367,"github":370},{"commitSha":276,"extensions":309},[310,323,329,335,355],{"basePath":265,"description":261,"displayName":263,"installMethods":311,"rationale":312,"selectedPaths":313,"source":322,"sourceLanguage":18,"type":266},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[314,317,319],{"path":315,"priority":316},".claude-plugin/marketplace.json","mandatory",{"path":318,"priority":316},"README.md",{"path":320,"priority":321},"LICENSE","high","rule",{"basePath":13,"description":252,"displayName":13,"installMethods":324,"rationale":325,"selectedPaths":326,"source":322,"sourceLanguage":18,"type":255},{"claudeCode":13},"inline plugin source from marketplace.json at elicitation",[327],{"path":328,"priority":321},"SKILL.md",{"basePath":272,"description":330,"displayName":272,"installMethods":331,"rationale":332,"selectedPaths":333,"source":322,"sourceLanguage":18,"type":255},"TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to recommend items, answer 'what would I like' questions, provide personalized recommendations, rank items for users, explain why something matches their taste, or integrate psychological profiles with recommendation systems.",{"claudeCode":272},"inline plugin source from marketplace.json at recommendations",[334],{"path":328,"priority":321},{"basePath":13,"description":10,"displayName":13,"installMethods":336,"rationale":337,"selectedPaths":338,"source":322,"sourceLanguage":18,"type":246},{"claudeCode":12},"SKILL.md frontmatter at elicitation/SKILL.md",[339,340,343,345,347,349,351,353],{"path":328,"priority":316},{"path":341,"priority":342},"references/language-inference.md","medium",{"path":344,"priority":342},"references/motivational-interviewing.md",{"path":346,"priority":342},"references/narrative-identity.md",{"path":348,"priority":342},"references/question-sequences.md",{"path":350,"priority":342},"references/schema-detection.md",{"path":352,"priority":342},"references/self-defining-memories.md",{"path":354,"priority":342},"references/values-elicitation.md",{"basePath":272,"description":356,"displayName":272,"installMethods":357,"rationale":358,"selectedPaths":359,"source":322,"sourceLanguage":18,"type":246},"TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to: (1) recommend movies, restaurants, products, travel, or jobs, (2) answer \"what would I like\" questions, (3) provide personalized recommendations based on preferences, (4) rank or score items for a user, (5) explain why something matches a user's taste, (6) build recommendation context from conversation, (7) integrate psychological profiles with recommendation systems.",{"claudeCode":12},"SKILL.md frontmatter at recommendations/SKILL.md",[360,361,363,365],{"path":328,"priority":316},{"path":362,"priority":342},"references/api-reference.md",{"path":364,"priority":342},"references/context-patterns.md",{"path":366,"priority":342},"references/presentation-patterns.md",{"sources":368},[369],"manual",{"closedIssues90d":8,"description":371,"forks":8,"homepage":372,"license":239,"openIssues90d":8,"pushedAt":236,"readmeSize":233,"stars":237,"topics":373},"TasteRay skills for psychological profiling through natural conversation","https://api.tasteray.com",[13,374,272,375],"recommendation","system",{"classifiedAt":377,"discoverAt":378,"extractAt":379,"githubAt":379,"updatedAt":377},1778697963265,1778697959310,1778697961228,[216,13,217,215,219,218],{"evaluatedAt":242,"extractAt":286,"updatedAt":382},1778698070240,[],[385,416,446,471,500,530],{"_creationTime":386,"_id":387,"community":388,"display":389,"identity":395,"providers":399,"relations":408,"tags":411,"workflow":412},1778694599571.3774,"k17f1596a2t00btq1hfksssg0s86n6ej",{"reviewCount":8},{"description":390,"installMethods":391,"name":393,"sourceUrl":394},"Use when the task involves authentication, user signups, logins, password recovery, OAuth providers, role-based access control, or protecting routes and functions. Always use `@netlify/identity`. Never use `netlify-identity-widget` or `gotrue-js` — they are deprecated.",{"claudeCode":392},"netlify/context-and-tools","netlify-identity","https://github.com/netlify/context-and-tools",{"basePath":396,"githubOwner":397,"githubRepo":398,"locale":18,"slug":393,"type":246},"skills/netlify-identity","netlify","context-and-tools",{"evaluate":400,"extract":407},{"promptVersionExtension":208,"promptVersionScoring":209,"score":401,"tags":402,"targetMarket":220,"tier":221},100,[403,397,217,404,405,406],"authentication","javascript","typescript","api",{"commitSha":276},{"parentExtensionId":409,"repoId":410},"k1714spp30a0rvg5y3yjga772n86nmps","kd7b1ncy2zzzfws29grdt8heb986ntzq",[406,403,217,404,397,405],{"evaluatedAt":413,"extractAt":414,"updatedAt":415},1778694839805,1778694599571,1778694994190,{"_creationTime":417,"_id":418,"community":419,"display":420,"identity":426,"providers":429,"relations":439,"tags":442,"workflow":443},1778698867338.298,"k17eany15hcz465k5n1zhc55cd86nzs2",{"reviewCount":8},{"description":421,"installMethods":422,"name":424,"sourceUrl":425},"Apply the six principles of ethical persuasion (reciprocity, commitment, social proof, authority, liking, scarcity) to product design, copy, and sales. Use when the user mentions \"social proof\", \"persuasive copy\", \"why users dont convert\", \"ethical persuasion\", \"reciprocity\", \"scarcity tactics\", or \"commitment and consistency\". Also trigger when designing testimonial sections, crafting urgency messaging, or improving trust signals on landing pages. For deal negotiation tactics, see negotiation. For viral word-of-mouth, see contagious.",{"claudeCode":423},"wondelai/skills","Influence Psychology","https://github.com/wondelai/skills",{"basePath":427,"githubOwner":428,"githubRepo":245,"locale":18,"slug":427,"type":246},"influence-psychology","wondelai",{"evaluate":430,"extract":438},{"promptVersionExtension":208,"promptVersionScoring":209,"score":401,"tags":431,"targetMarket":220,"tier":221},[432,433,434,215,435,436,437],"marketing","copywriting","product-design","persuasion","ux","sales",{"commitSha":276,"license":239},{"parentExtensionId":440,"repoId":441},"k17bj16z8e1yp2wwfd2hxagjtd86m0fp","kd7aexggvp8qjwjtgjbetg0jch86mg5a",[433,432,435,434,215,437,436],{"evaluatedAt":444,"extractAt":445,"updatedAt":444},1778699285462,1778698867338,{"_creationTime":447,"_id":448,"community":449,"display":450,"identity":454,"providers":456,"relations":467,"tags":468,"workflow":469},1778698867338.2969,"k17eycez10awwb40pbfjr0je3986mqd0",{"reviewCount":8},{"description":451,"installMethods":452,"name":453,"sourceUrl":425},"Design motivation systems using Autonomy, Mastery, and Purpose (AMP) for products and teams. Use when the user mentions \"intrinsic motivation\", \"gamification isnt working\", \"team incentives\", \"autonomy\", \"mastery\", \"purpose-driven\", \"employee engagement\", or \"reward systems\". Also trigger when designing onboarding progression systems, fixing broken gamification, or building team structures that sustain high performance. Covers why carrot-and-stick fails and how to build progress systems. For habit-forming product loops, see hooked-ux. For retention behavior design, see improve-retention.",{"claudeCode":423},"Drive Motivation",{"basePath":455,"githubOwner":428,"githubRepo":245,"locale":18,"slug":455,"type":246},"drive-motivation",{"evaluate":457,"extract":466},{"promptVersionExtension":208,"promptVersionScoring":209,"score":401,"tags":458,"targetMarket":220,"tier":221},[459,460,461,462,215,463,464,465],"motivation","product-management","team-management","gamification","autonomy","mastery","purpose",{"commitSha":276,"license":239},{"parentExtensionId":440,"repoId":441},[463,462,464,459,460,215,465,461],{"evaluatedAt":470,"extractAt":445,"updatedAt":470},1778699189848,{"_creationTime":472,"_id":473,"community":474,"display":475,"identity":481,"providers":485,"relations":493,"tags":496,"workflow":497},1778699234184.6135,"k175frmf44tn80mcd6gvw1c1th86ngq9",{"reviewCount":8},{"description":476,"installMethods":477,"name":479,"sourceUrl":480},"Invoke parallel document-specialist agents for external web searches and documentation lookup",{"claudeCode":478},"Yeachan-Heo/oh-my-claudecode","external-context","https://github.com/Yeachan-Heo/oh-my-claudecode",{"basePath":482,"githubOwner":483,"githubRepo":484,"locale":18,"slug":479,"type":246},"skills/external-context","Yeachan-Heo","oh-my-claudecode",{"evaluate":486,"extract":492},{"promptVersionExtension":208,"promptVersionScoring":209,"score":401,"tags":487,"targetMarket":220,"tier":221},[488,489,219,490,491],"search","documentation","information-retrieval","multi-agent",{"commitSha":276},{"parentExtensionId":494,"repoId":495},"k17brg5egdw1jbncj1j4wfv3fh86n639","kd74zv63fryf9prygtq7gf4es986n22y",[489,490,491,219,488],{"evaluatedAt":498,"extractAt":499,"updatedAt":498},1778699449790,1778699234184,{"_creationTime":501,"_id":502,"community":503,"display":504,"identity":510,"providers":515,"relations":523,"tags":526,"workflow":527},1778695116697.199,"k17cex5hqwje7qgvts5evct1d186nd4m",{"reviewCount":8},{"description":505,"installMethods":506,"name":508,"sourceUrl":509},"Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.",{"claudeCode":507},"Orchestra-Research/AI-Research-SKILLs","ARA Research Manager","https://github.com/Orchestra-Research/AI-Research-SKILLs",{"basePath":511,"githubOwner":512,"githubRepo":513,"locale":18,"slug":514,"type":246},"22-agent-native-research-artifact/research-manager","Orchestra-Research","AI-Research-SKILLs","research-manager",{"evaluate":516,"extract":522},{"promptVersionExtension":208,"promptVersionScoring":209,"score":401,"tags":517,"targetMarket":220,"tier":221},[219,518,519,520,521],"provenance","knowledge-management","session-logging","ara",{"commitSha":276,"license":239},{"parentExtensionId":524,"repoId":525},"k17155ws9qc0hw7a568bg79sfd86max8","kd70hj1y80mhra5xm5g188j5n586mg18",[521,519,518,219,520],{"evaluatedAt":528,"extractAt":529,"updatedAt":528},1778697541177,1778695116697,{"_creationTime":531,"_id":532,"community":533,"display":534,"identity":540,"providers":544,"relations":552,"tags":554,"workflow":555},1778696113180.8188,"k17c5zp0g9ej845h70sjh0z6rd86n8ta",{"reviewCount":8},{"description":535,"installMethods":536,"name":538,"sourceUrl":539},"Build customer journey maps and service blueprints that visualize the end-to-end user experience including touchpoints, emotions, friction, and underlying systems. Use this skill whenever the user wants to map a customer journey, build a service blueprint, identify friction across an experience, align teams on the user experience, or visualize touchpoints and pain points. Triggers on customer journey, journey map, service blueprint, user journey, experience map, touchpoint analysis, friction map, journey audit, end-to-end experience, customer experience map. Also triggers when the team has departmental views of users but no shared map of what the experience actually feels like.",{"claudeCode":537},"rampstackco/claude-skills","journey-mapping","https://github.com/rampstackco/claude-skills",{"basePath":541,"githubOwner":542,"githubRepo":543,"locale":18,"slug":538,"type":246},"skills/journey-mapping","rampstackco","claude-skills",{"evaluate":545,"extract":551},{"promptVersionExtension":208,"promptVersionScoring":209,"score":401,"tags":546,"targetMarket":220,"tier":221},[547,548,549,219,550],"user-experience","customer-journey","service-blueprint","design-thinking",{"commitSha":276},{"repoId":553},"kd7bebccrrd1xf6w868aggftrd86m86v",[548,550,219,549,547],{"evaluatedAt":556,"extractAt":557,"updatedAt":556},1778697107949,1778696113180]