[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-onewave-ai-expansion-revenue-finder-vi":3,"guides-for-onewave-ai-expansion-revenue-finder":225,"similar-k17cctpgztzn12a7wc373mq4b5867qwq":226},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":21,"identity":189,"isFallback":194,"parentExtension":195,"providers":196,"relations":201,"repo":203,"workflow":222},1778054663200.0706,"k17cctpgztzn12a7wc373mq4b5867qwq",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Identifies upsell and cross-sell opportunities within existing customer accounts. Analyzes product usage, feature gaps, team growth, industry benchmarks, and competitive pressure to surface revenue expansion plays scored by potential, effort, and likelihood. Generates an expansion-playbook.md with account-by-account opportunities, recommended pitch, timing, and approach.",{},"Expansion Revenue Finder","https://github.com/onewave-ai/claude-skills/tree/HEAD/expansion-revenue-finder",[15,16,17,18,19,20],"sales","revenue","customer-success","analysis","playbook","crm",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":178,"workflow":187},1778055270278.105,"kn71xv0f8s07tgy8z4q3s9egnn866jj6","en",{"checks":26,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[27,32,35,38,42,45,49,54,57,60,64,69,72,76,79,82,85,88,91,94,97,101,105,109,114,117,120,123,127,130,133,136,139,142,146,149,152,155,158,161,165],{"category":28,"check":29,"severity":30,"summary":31},"Practical Utility","Problem relevance","pass","The description clearly names a concrete user problem: identifying upsell and cross-sell opportunities within existing customer accounts by analyzing various data points.",{"category":28,"check":33,"severity":30,"summary":34},"Unique selling proposition","The skill offers significant value over a simple prompt by providing a structured, multi-stage analysis process and generating a detailed, scored playbook, going beyond basic LLM capabilities.",{"category":28,"check":36,"severity":30,"summary":37},"Production readiness","The skill defines a complete lifecycle from data collection to playbook generation, including detailed steps and considerations for various data availability scenarios, making it ready for production use.",{"category":39,"check":40,"severity":30,"summary":41},"Scope","Single responsibility principle","The extension focuses solely on identifying, scoring, and presenting revenue expansion opportunities within existing customer accounts, maintaining a clear and single domain.",{"category":39,"check":43,"severity":30,"summary":44},"Description quality","The description is concise, readable, and accurately reflects the skill's behavior as detailed in the SKILL.md file.",{"category":46,"check":47,"severity":30,"summary":48},"Invocation","Scoped tools","The skill utilizes specific, narrow tools like Bash, Grep, Glob, Read, and Write, avoiding generalist execution tools.",{"category":50,"check":51,"severity":52,"summary":53},"Documentation","Configuration & parameter reference","warning","While the SKILL.md is comprehensive, it does not explicitly document default values for parameters or precedence order for configuration, which could be implicit.",{"category":39,"check":55,"severity":30,"summary":56},"Tool naming","The tools listed (Read, Write, Bash, Grep, Glob) are descriptive and standard for the domain.",{"category":39,"check":58,"severity":30,"summary":59},"Minimal I/O surface","The skill's inputs are primarily file patterns and keywords, and its output is a structured markdown file, minimizing unnecessary I/O.",{"category":61,"check":62,"severity":30,"summary":63},"License","License usability","The extension is licensed under the MIT license, a standard permissive open-source license, with the text provided in the LICENSE file.",{"category":65,"check":66,"severity":67,"summary":68},"Maintenance","Commit recency","not_applicable","The repository is a fork and the commit date is not directly relevant for evaluating this specific skill's quality in isolation. No direct commits observed.",{"category":65,"check":70,"severity":67,"summary":71},"Dependency Management","No third-party dependencies are used by this skill.",{"category":73,"check":74,"severity":30,"summary":75},"Security","Secret Management","The skill operates on customer data found in the working directory and does not appear to handle or expose secrets.",{"category":73,"check":77,"severity":30,"summary":78},"Injection","The skill uses standard file searching and analysis tools, with no indication of loading or executing untrusted external content as instructions.",{"category":73,"check":80,"severity":30,"summary":81},"Transitive Supply-Chain Grenades","The skill only interacts with files within the provided working directory and does not fetch or execute remote code or data at runtime.",{"category":73,"check":83,"severity":30,"summary":84},"Sandbox Isolation","The skill's operations are confined to reading and writing files within the working directory, adhering to sandbox principles.",{"category":73,"check":86,"severity":30,"summary":87},"Sandbox escape primitives","No detached processes or deny-retry loops were found in the script logic.",{"category":73,"check":89,"severity":30,"summary":90},"Data Exfiltration","The skill analyzes local files and generates a report; it does not make outbound calls or reference confidential data.",{"category":73,"check":92,"severity":30,"summary":93},"Hidden Text Tricks","The bundled SKILL.md and LICENSE files are free of hidden-steering tricks, visible Unicode characters, or other obfuscation methods.",{"category":73,"check":95,"severity":30,"summary":96},"Opaque code execution","The skill's logic is presented as readable markdown and standard shell commands, with no signs of obfuscation like base64 payloads or eval.",{"category":98,"check":99,"severity":30,"summary":100},"Portability","Structural Assumption","The skill searches for files using patterns and keywords, making it adaptable to different project structures rather than assuming specific paths.",{"category":102,"check":103,"severity":67,"summary":104},"Trust","Issues Attention","Issue data is not available for this skill in the provided context.",{"category":106,"check":107,"severity":52,"summary":108},"Versioning","Release Management","There is no explicit versioning information (e.g., version field, CHANGELOG, GitHub releases) for this skill. Install instructions in README reference 'main'.",{"category":110,"check":111,"severity":112,"summary":113},"Code Execution","Validation","info","The skill specifies file patterns and keywords for searching, but lacks explicit schema validation for inputs or output sanitization mechanisms.",{"category":73,"check":115,"severity":30,"summary":116},"Unguarded Destructive Operations","The skill is read-only and analytical, performing no destructive operations.",{"category":110,"check":118,"severity":30,"summary":119},"Error Handling","The skill's logic, primarily file searching and data extraction, is straightforward and expected to handle typical file system errors gracefully. The prompt structure implies methodical execution.",{"category":110,"check":121,"severity":67,"summary":122},"Logging","The skill is read-only and does not perform destructive actions or outbound calls that would typically require audit logging.",{"category":124,"check":125,"severity":112,"summary":126},"Compliance","GDPR","The skill analyzes customer data which may contain personal information. While it does not submit this data to a third party, it does not perform additional sanitization beyond what is inherent in data analysis.",{"category":124,"check":128,"severity":30,"summary":129},"Target market","The skill's functionality is general and does not appear to be tied to any specific geographic or legal jurisdiction, making it globally applicable.",{"category":98,"check":131,"severity":30,"summary":132},"Runtime stability","The skill uses standard tools like Bash, Grep, Glob, Read, and Write, which are widely available and should run on most POSIX-compliant environments without issue.",{"category":46,"check":134,"severity":30,"summary":135},"Precise Purpose","The skill precisely names its artifact (customer accounts) and task (identify expansion opportunities), including explicit triggers and boundaries, with a clear audience.",{"category":46,"check":137,"severity":30,"summary":138},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability and domain.",{"category":50,"check":140,"severity":30,"summary":141},"Concise Body","The SKILL.md body is well-structured, under 500 lines, and delegates deeper material to specific sections, adhering to progressive disclosure.",{"category":143,"check":144,"severity":30,"summary":145},"Context","Progressive Disclosure","The SKILL.md outlines the process and provides detailed instructions, with opportunities for further information within the same document rather than requiring external files.",{"category":143,"check":147,"severity":67,"summary":148},"Forked exploration","The skill's primary function is analysis and report generation, not deep exploration or code review that would necessitate `context: fork`.",{"category":28,"check":150,"severity":52,"summary":151},"Usage examples","While the SKILL.md details the process extensively, it lacks concrete, end-to-end usage examples showing input, invocation, and observable output for each capability.",{"category":28,"check":153,"severity":112,"summary":154},"Edge cases","The skill mentions working from narrative descriptions if structured data is unavailable and notes reduced confidence, but does not explicitly list specific failure modes and recovery paths.",{"category":110,"check":156,"severity":67,"summary":157},"Tool Fallback","The skill only uses Claude-internal tools and does not rely on external tooling like MCP servers.",{"category":98,"check":159,"severity":30,"summary":160},"Stack assumptions","The skill relies on standard POSIX tools (Bash, Grep, Glob, Read, Write) which are declared via shebangs and common practice, with no specific OS or framework assumptions.",{"category":162,"check":163,"severity":30,"summary":164},"Safety","Halt on unexpected state","The skill's methodical, multi-stage process implies it would halt and report if critical data or conditions were not met, ensuring safety.",{"category":98,"check":166,"severity":30,"summary":167},"Cross-skill coupling","The skill operates standalone, analyzing customer data and generating a playbook without implicit reliance on other skills.",1778054832283,"This skill analyzes customer account data, product usage, and company context to surface upsell and cross-sell opportunities. It scores these opportunities based on potential, effort, and likelihood, and outputs a detailed expansion playbook including account-specific recommendations and strategic insights for leadership.","2.0.0","3.4.0","The skill is well-scoped, production-ready, and uses standard tools. The primary areas for improvement are the lack of explicit versioning and concrete usage examples, which are minor for a skill of this nature.",90,"This skill comprehensively identifies and scores revenue expansion opportunities within customer accounts, generating a detailed playbook.",[15,16,17,18,19,20],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778054817084,{"descriptionLength":182,"readmeSize":8},373,{},{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778055270278,{"githubOwner":190,"githubRepo":191,"locale":24,"slug":192,"type":193},"onewave-ai","claude-skills","expansion-revenue-finder","skill",true,null,{"extract":197,"llm":200},{"commitSha":198,"license":199},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271","MIT-0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":202},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"_creationTime":204,"_id":202,"identity":205,"providers":207,"workflow":219},1777995558409.8716,{"githubOwner":190,"githubRepo":191,"sourceUrl":206},"https://github.com/onewave-ai/claude-skills",{"discover":208,"github":211},{"sources":209},[210],"skills-sh",{"closedIssues90d":8,"forks":212,"license":213,"openIssues90d":214,"pushedAt":215,"readmeSize":216,"stars":217,"topics":218},15,"MIT",1,1775817251000,11706,113,[],{"discoverAt":220,"extractAt":221,"githubAt":221,"updatedAt":221},1777995558409,1778054678433,{"anyEnrichmentAt":223,"extractAt":224,"githubAt":223,"llmAt":188,"updatedAt":188},1778054667983,1778054663200,[],[227,255,278,300,320,341],{"_creationTime":228,"_id":229,"community":230,"display":231,"identity":241,"providers":244,"relations":249,"workflow":251},1778053148350.4314,"k176qcxrp1gw56t60ta6a94c758662wx",{"reviewCount":8},{"description":232,"installMethods":233,"name":234,"sourceUrl":235,"tags":236},"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",[17,237,238,239,240,15,20],"retention","onboarding","qbr","expansion",{"githubOwner":242,"githubRepo":243,"locale":24,"slug":17,"type":193},"claude-office-skills","skills",{"extract":245,"llm":247},{"commitSha":246,"license":213},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":248,"targetMarket":176,"tier":177},98,{"repoId":250},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},1778053151766,1778053148350,1778053561145,{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":271,"providers":273,"relations":276,"workflow":277},1778053148350.4539,"k179tsfdj29k96rtptbbar2tvn866b71",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"sourceUrl":263,"tags":264},"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",[15,20,265,266,267,268,269,270],"lead-management","routing","assignment","automation","mcp","ai-powered",{"githubOwner":242,"githubRepo":243,"locale":24,"slug":272,"type":193},"lead-routing",{"extract":274,"llm":275},{"commitSha":246,"license":213},{"promptVersionExtension":170,"promptVersionScoring":171,"score":248,"targetMarket":176,"tier":177},{"repoId":250},{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},{"_creationTime":279,"_id":280,"community":281,"display":282,"identity":293,"providers":295,"relations":298,"workflow":299},1778053148350.4304,"k1765hpths317r67sjznftt739866nss",{"reviewCount":8},{"description":283,"installMethods":284,"name":285,"sourceUrl":286,"tags":287},"CRM workflow automation for HubSpot, Salesforce, Pipedrive - lead management, deal tracking, and multi-CRM synchronization",{},"CRM Automation","https://github.com/claude-office-skills/skills/tree/HEAD/crm-automation",[20,268,288,289,290,15,265,291,292],"hubspot","salesforce","pipedrive","deal-tracking","n8n",{"githubOwner":242,"githubRepo":243,"locale":24,"slug":294,"type":193},"crm-automation",{"extract":296,"llm":297},{"commitSha":246,"license":213},{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":250},{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},{"_creationTime":301,"_id":302,"community":303,"display":304,"identity":312,"providers":314,"relations":318,"workflow":319},1778053148350.4666,"k171pf3z7g0ncj2y23w93napxs866pq8",{"reviewCount":8},{"description":305,"installMethods":306,"name":307,"sourceUrl":308,"tags":309},"Automate Pipedrive CRM workflows including deal management, pipeline tracking, and sales reporting",{},"Pipedrive Automation","https://github.com/claude-office-skills/skills/tree/HEAD/pipedrive-automation",[290,20,15,310,311,268,269],"deals","pipeline",{"githubOwner":242,"githubRepo":243,"locale":24,"slug":313,"type":193},"pipedrive-automation",{"extract":315,"llm":316},{"commitSha":246,"license":213},{"promptVersionExtension":170,"promptVersionScoring":171,"score":317,"targetMarket":176,"tier":177},88,{"repoId":250},{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},{"_creationTime":321,"_id":322,"community":323,"display":324,"identity":332,"providers":334,"relations":339,"workflow":340},1778054663200.0647,"k17101haamsvrshj4s32v3e7e58664v6",{"reviewCount":8},{"description":325,"installMethods":326,"name":327,"sourceUrl":328,"tags":329},"Analyzes a deal in progress and generates a comprehensive closing strategy. Researches the target company, maps the buying committee, builds objection responses, creates competitive positioning, and outputs a tactical deal-playbook.md with next-best-actions and a mutual close plan.",{},"Deal Closer Playbook","https://github.com/onewave-ai/claude-skills/tree/HEAD/deal-closer-playbook",[15,20,330,331,19],"strategy","deal-closure",{"githubOwner":190,"githubRepo":191,"locale":24,"slug":333,"type":193},"deal-closer-playbook",{"extract":335,"llm":336},{"commitSha":198,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":337,"targetMarket":176,"tier":338},75,"evaluated",{"repoId":202},{"anyEnrichmentAt":223,"extractAt":224,"githubAt":223,"llmAt":188,"updatedAt":188},{"_creationTime":342,"_id":343,"community":344,"display":345,"identity":355,"providers":359,"relations":364,"workflow":366},1778053327521.585,"k17eftejnaapgr7mnfajqgng2h866syh",{"reviewCount":8},{"description":346,"installMethods":347,"name":348,"sourceUrl":349,"tags":350},"Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to \"fact check\", \"verify\", \"is this true\", or mentions claims that need validation.",{},"Fact Checker","https://github.com/shubhamsaboo/awesome-llm-apps/tree/HEAD/awesome_agent_skills/fact-checker",[351,352,353,354,18],"fact-checking","misinformation","verification","llm-skill",{"githubOwner":356,"githubRepo":357,"locale":24,"slug":358,"type":193},"shubhamsaboo","awesome-llm-apps","fact-checker",{"extract":360,"llm":362},{"commitSha":361,"license":213},"a35897449fe8b0fab12e8f0fd9f2e2a40e872ab7",{"promptVersionExtension":170,"promptVersionScoring":171,"score":363,"targetMarket":176,"tier":177},100,{"repoId":365},"kd73kvct1kme7748mpsbddhhmx865wd3",{"anyEnrichmentAt":367,"extractAt":368,"githubAt":367,"llmAt":369,"updatedAt":369},1778053329769,1778053327521,1778053376632]