[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-onewave-ai-champion-identifier-ja":3,"guides-for-onewave-ai-champion-identifier":222,"similar-k17deqthntv2r5h3dsbcqz9had867yf3":223},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":19,"identity":187,"isFallback":192,"parentExtension":193,"providers":194,"relations":199,"repo":201,"workflow":219},1778054663200.052,"k17deqthntv2r5h3dsbcqz9had867yf3",[],{"reviewCount":8},0,{"description":10,"name":11,"sourceUrl":12,"tags":13},"Analyze LinkedIn profiles in target accounts to identify potential internal champions. Evaluates role, career path, mutual connections, interests, and suggests personalization approach. Use when you need to find who will champion your solution internally.","Champion Identifier","https://github.com/onewave-ai/claude-skills/tree/HEAD/champion-identifier",[14,15,16,17,18],"sales","account-based-selling","linkedin","lead-generation","strategy",{"_creationTime":20,"_id":21,"extensionId":5,"locale":22,"result":23,"trustSignals":176,"workflow":185},1778055270278.0503,"kn72ft9t97c895wpc5zef6qcz5867zxc","en",{"checks":24,"evaluatedAt":166,"extensionSummary":167,"promptVersionExtension":168,"promptVersionScoring":169,"rationale":170,"score":171,"summary":172,"tags":173,"targetMarket":174,"tier":175},[25,30,33,36,40,43,47,52,55,58,62,66,69,73,76,79,82,85,88,91,95,99,103,108,112,115,118,121,125,128,131,134,137,140,144,147,150,153,156,159,163],{"category":26,"check":27,"severity":28,"summary":29},"Practical Utility","Problem relevance","pass","The description clearly states the problem of identifying internal champions at target accounts and the use case for finding who will champion a solution internally.",{"category":26,"check":31,"severity":28,"summary":32},"Unique selling proposition","The skill provides a structured framework for analyzing LinkedIn profiles, scoring candidates, and suggesting personalization approaches, which goes beyond a simple prompt.",{"category":26,"check":34,"severity":28,"summary":35},"Production readiness","The skill provides a complete lifecycle for identifying and strategizing champion outreach, including analysis, ranking, outreach strategy, and development plans.",{"category":37,"check":38,"severity":28,"summary":39},"Scope","Single responsibility principle","The skill has a focused scope on identifying and strategizing engagement with internal champions within target accounts.",{"category":37,"check":41,"severity":28,"summary":42},"Description quality","The displayed description is concise, readable, and accurately reflects the skill's purpose and capabilities as outlined in the SKILL.md file.",{"category":44,"check":45,"severity":28,"summary":46},"Invocation","Scoped tools","The skill does not expose specific tools, but its internal logic is focused on profile analysis and strategic output generation, rather than general-purpose commands.",{"category":48,"check":49,"severity":50,"summary":51},"Documentation","Configuration & parameter reference","not_applicable","The skill does not expose any configurable parameters or environment variables; all logic is self-contained within the prompt.",{"category":37,"check":53,"severity":50,"summary":54},"Tool naming","The skill does not expose specific tools with names. Its functionality is invoked via the LLM's interpretation of the SKILL.md content.",{"category":37,"check":56,"severity":28,"summary":57},"Minimal I/O surface","The skill's input is implied by the context of the user's request for champion identification, and its output is a structured markdown report, focused solely on the analysis.",{"category":59,"check":60,"severity":28,"summary":61},"License","License usability","The repository includes a standard MIT License file, which is a permissive open-source license.",{"category":63,"check":64,"severity":50,"summary":65},"Maintenance","Commit recency","The provided repository files do not include commit history, making it impossible to assess commit recency.",{"category":63,"check":67,"severity":50,"summary":68},"Dependency Management","The skill does not appear to have any third-party dependencies.",{"category":70,"check":71,"severity":28,"summary":72},"Security","Secret Management","The skill does not handle or expose any secrets.",{"category":70,"check":74,"severity":28,"summary":75},"Injection","The skill's content is primarily instructional text and structured output templates; it does not load or execute untrusted third-party data.",{"category":70,"check":77,"severity":28,"summary":78},"Transitive Supply-Chain Grenades","The skill is self-contained and does not fetch external files or execute remote code at runtime.",{"category":70,"check":80,"severity":28,"summary":81},"Sandbox Isolation","The skill operates within the LLM context and does not interact with the file system or external environments, thus maintaining sandbox isolation.",{"category":70,"check":83,"severity":28,"summary":84},"Sandbox escape primitives","No detached process spawns or deny-retry loops were found as the skill operates within the LLM environment.",{"category":70,"check":86,"severity":28,"summary":87},"Data Exfiltration","The skill does not make any outbound calls or reference any confidential data.",{"category":70,"check":89,"severity":28,"summary":90},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks and uses clean printable ASCII and expected Unicode.",{"category":92,"check":93,"severity":28,"summary":94},"Hooks","Opaque code execution","The skill's content is plain, readable markdown text and does not involve obfuscated code execution.",{"category":96,"check":97,"severity":28,"summary":98},"Portability","Structural Assumption","The skill makes no assumptions about the user's project structure, operating system, or file layout, as it operates within the LLM context.",{"category":100,"check":101,"severity":50,"summary":102},"Trust","Issues Attention","No GitHub issue data was available for evaluation.",{"category":104,"check":105,"severity":106,"summary":107},"Versioning","Release Management","info","A version field is present in the SKILL.md frontmatter ('champion-identifier'), but it is not a semantically meaningful version number (e.g., 'champion-identifier').",{"category":109,"check":110,"severity":50,"summary":111},"Code Execution","Validation","The skill does not execute code or process structured input arguments that would require validation.",{"category":70,"check":113,"severity":50,"summary":114},"Unguarded Destructive Operations","The skill is purely analytical and has no destructive operations.",{"category":109,"check":116,"severity":28,"summary":117},"Error Handling","The skill is designed to operate within the LLM's context, and any conceptual 'errors' would be handled by the LLM's response generation rather than script execution.",{"category":109,"check":119,"severity":50,"summary":120},"Logging","The skill does not perform actions that require local audit logging.",{"category":122,"check":123,"severity":106,"summary":124},"Compliance","GDPR","The skill analyzes LinkedIn profiles, which may contain personal data. While it doesn't submit this data to a third party, the LLM processing it could be considered data processing under GDPR without explicit user consent or sanitization for the LLM.",{"category":122,"check":126,"severity":28,"summary":127},"Target market","The skill's focus on identifying internal champions for sales is globally applicable, and there are no specific regional legal or workflow constraints detected.",{"category":96,"check":129,"severity":28,"summary":130},"Runtime stability","The skill operates within the LLM environment and makes no assumptions about specific operating systems, shells, or runtimes.",{"category":44,"check":132,"severity":28,"summary":133},"Precise Purpose","The skill clearly defines its purpose of identifying internal champions and provides specific use cases and trigger phrases.",{"category":44,"check":135,"severity":28,"summary":136},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability and use cases.",{"category":48,"check":138,"severity":28,"summary":139},"Concise Body","The SKILL.md body is well-structured and avoids excessive length, with detailed procedures and examples provided in a clear markdown format.",{"category":141,"check":142,"severity":28,"summary":143},"Context","Progressive Disclosure","The skill uses markdown formatting effectively to present information progressively, with clear sections and sub-sections.",{"category":141,"check":145,"severity":50,"summary":146},"Forked exploration","This skill is primarily analytical and does not involve deep exploration or code review that would necessitate a forked context.",{"category":26,"check":148,"severity":28,"summary":149},"Usage examples","The skill includes multiple detailed examples of requests and the expected output format, demonstrating its practical application.",{"category":26,"check":151,"severity":28,"summary":152},"Edge cases","The skill addresses edge cases and limitations, such as differentiating champions from coaches or blockers, and provides recovery steps like adjusting outreach strategy.",{"category":109,"check":154,"severity":50,"summary":155},"Tool Fallback","The skill does not rely on external tools like MCP and operates within the LLM's native capabilities.",{"category":96,"check":157,"severity":28,"summary":158},"Stack assumptions","The skill operates within the LLM environment, making no assumptions about user-specific stacks, operating systems, or tooling.",{"category":160,"check":161,"severity":28,"summary":162},"Safety","Halt on unexpected state","The skill instructs on identifying and handling potential 'red flags' or undesirable states (e.g., non-champions), implicitly halting unproductive analysis paths.",{"category":96,"check":164,"severity":28,"summary":165},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills, clearly defining its scope for champion identification.",1778054732643,"This skill leverages AI to analyze LinkedIn profiles, evaluating roles, career paths, connections, and interests to identify and rank internal champions. It provides detailed scoring, outreach strategies, personalization hooks, and a multi-threading plan for sales professionals.","2.0.0","3.4.0","The 'Champion Identifier' skill is well-documented, focused, and provides significant practical utility. It handles potential GDPR implications by processing data within the LLM context, and its global applicability is clear. The only minor flags were the non-standard versioning in SKILL.md and the potential for personal data processing in LinkedIn profiles, both of which are low severity.",95,"This skill meticulously identifies and strategizes engagement with potential internal champions at target accounts by analyzing LinkedIn profiles.",[14,15,16,17,18],"global","verified",{"codeQuality":177,"collectedAt":178,"documentation":179,"maintenance":181,"security":182,"testCoverage":184},{},1778054720744,{"descriptionLength":180,"readmeSize":8},255,{},{"hasNpmPackage":183,"smitheryVerified":183},false,{"hasCi":183,"hasTests":183},{"updatedAt":186},1778055270278,{"githubOwner":188,"githubRepo":189,"locale":22,"slug":190,"type":191},"onewave-ai","claude-skills","champion-identifier","skill",true,null,{"extract":195,"llm":198},{"commitSha":196,"license":197},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271","MIT",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":200},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"_creationTime":202,"_id":200,"identity":203,"providers":205,"workflow":216},1777995558409.8716,{"githubOwner":188,"githubRepo":189,"sourceUrl":204},"https://github.com/onewave-ai/claude-skills",{"discover":206,"github":209},{"sources":207},[208],"skills-sh",{"closedIssues90d":8,"forks":210,"license":197,"openIssues90d":211,"pushedAt":212,"readmeSize":213,"stars":214,"topics":215},15,1,1775817251000,11706,113,[],{"discoverAt":217,"extractAt":218,"githubAt":218,"updatedAt":218},1777995558409,1778054678433,{"anyEnrichmentAt":220,"extractAt":221,"githubAt":220,"llmAt":186,"updatedAt":186},1778054667983,1778054663200,[],[224,250,279,300,320,344],{"_creationTime":225,"_id":226,"community":227,"display":228,"identity":236,"providers":240,"relations":244,"workflow":246},1778053730743.9526,"k17cvk8jajppn6zd39xqq39tad866rnj",{"reviewCount":8},{"description":229,"installMethods":230,"name":231,"sourceUrl":232,"tags":233},"Help users navigate enterprise sales. Use when someone is closing large deals, managing complex buying committees, handling procurement, or converting PLG users to enterprise contracts.",{},"Enterprise Sales","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/enterprise-sales",[14,234,18,235],"enterprise","documentation",{"githubOwner":237,"githubRepo":238,"locale":22,"slug":239,"type":191},"refoundai","lenny-skills","enterprise-sales",{"extract":241,"llm":243},{"commitSha":242,"license":197},"280a57aa42fed3b6f35f51f0d9e71013b4c8ae74",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":245},"kd71b12s61d3nrk4f6dxqd3z35865mkg",{"anyEnrichmentAt":247,"extractAt":248,"githubAt":247,"llmAt":249,"updatedAt":249},1778053732694,1778053730744,1778053975687,{"_creationTime":251,"_id":252,"community":253,"display":254,"identity":265,"providers":269,"relations":273,"workflow":275},1778053148350.4534,"k17fqtwqj7a4v1dm1mp711axv9866smh",{"reviewCount":8},{"description":255,"installMethods":256,"name":257,"sourceUrl":258,"tags":259},"Research company and contact information for sales outreach",{},"Lead Research Assistant","https://github.com/claude-office-skills/skills/tree/HEAD/lead-research",[14,260,17,261,262,263,264],"research","company-information","contact-discovery","prospecting","mcp",{"githubOwner":266,"githubRepo":267,"locale":22,"slug":268,"type":191},"claude-office-skills","skills","lead-research-assistant",{"extract":270,"llm":272},{"commitSha":271,"license":197},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":274},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":276,"extractAt":277,"githubAt":276,"llmAt":278,"updatedAt":278},1778053151766,1778053148350,1778053561145,{"_creationTime":280,"_id":281,"community":282,"display":283,"identity":292,"providers":294,"relations":298,"workflow":299},1778053730743.9727,"k175531we2ma0wxzvcrwt79byd867c9n",{"reviewCount":8},{"description":284,"installMethods":285,"name":286,"sourceUrl":287,"tags":288},"Help users qualify sales leads effectively. Use when someone is wasting time on bad leads, struggling with low conversion rates, needs to build a qualification framework, or wants to improve their discovery process.",{},"Sales Qualification","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/sales-qualification",[14,289,290,17,291],"qualification","framework","product-management",{"githubOwner":237,"githubRepo":238,"locale":22,"slug":293,"type":191},"sales-qualification",{"extract":295,"llm":296},{"commitSha":242,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":297,"targetMarket":174,"tier":175},92,{"repoId":245},{"anyEnrichmentAt":247,"extractAt":248,"githubAt":247,"llmAt":249,"updatedAt":249},{"_creationTime":301,"_id":302,"community":303,"display":304,"identity":313,"providers":315,"relations":318,"workflow":319},1778053148350.4548,"k172x3hh7e11p162wey3htb0k1867q2w",{"reviewCount":8},{"description":305,"installMethods":306,"name":307,"sourceUrl":308,"tags":309},"Automate LinkedIn marketing, lead generation, content publishing, and professional networking",{},"LinkedIn Automation","https://github.com/claude-office-skills/skills/tree/HEAD/linkedin-automation",[16,310,17,311,312,264],"marketing","networking","content-publishing",{"githubOwner":266,"githubRepo":267,"locale":22,"slug":314,"type":191},"linkedin-automation",{"extract":316,"llm":317},{"commitSha":271,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":297,"targetMarket":174,"tier":175},{"repoId":274},{"anyEnrichmentAt":276,"extractAt":277,"githubAt":276,"llmAt":278,"updatedAt":278},{"_creationTime":321,"_id":322,"community":323,"display":324,"identity":336,"providers":338,"relations":342,"workflow":343},1778053148350.4539,"k179tsfdj29k96rtptbbar2tvn866b71",{"reviewCount":8},{"description":325,"installMethods":326,"name":327,"sourceUrl":328,"tags":329},"Intelligent lead assignment and routing - AI-powered scoring, territory mapping, round-robin distribution, and workload balancing",{},"Lead Routing","https://github.com/claude-office-skills/skills/tree/HEAD/lead-routing",[14,330,331,332,333,334,264,335],"crm","lead-management","routing","assignment","automation","ai-powered",{"githubOwner":266,"githubRepo":267,"locale":22,"slug":337,"type":191},"lead-routing",{"extract":339,"llm":340},{"commitSha":271,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":341,"targetMarket":174,"tier":175},98,{"repoId":274},{"anyEnrichmentAt":276,"extractAt":277,"githubAt":276,"llmAt":278,"updatedAt":278},{"_creationTime":345,"_id":346,"community":347,"display":348,"identity":359,"providers":360,"relations":363,"workflow":364},1778053148350.4314,"k176qcxrp1gw56t60ta6a94c758662wx",{"reviewCount":8},{"description":349,"installMethods":350,"name":351,"sourceUrl":352,"tags":353},"Customer success management - onboarding, health scoring, QBRs, expansion playbooks, and retention strategies",{},"Customer Success","https://github.com/claude-office-skills/skills/tree/HEAD/customer-success",[354,355,356,357,358,14,330],"customer-success","retention","onboarding","qbr","expansion",{"githubOwner":266,"githubRepo":267,"locale":22,"slug":354,"type":191},{"extract":361,"llm":362},{"commitSha":271,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":341,"targetMarket":174,"tier":175},{"repoId":274},{"anyEnrichmentAt":276,"extractAt":277,"githubAt":276,"llmAt":278,"updatedAt":278}]