[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-shubhamsaboo-decision-helper-tr":3,"guides-for-shubhamsaboo-decision-helper":231,"similar-k1755h8c0h91grnm6rvp9mnqk9866d5x":232},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":19,"identity":190,"isFallback":195,"parentExtension":196,"providers":197,"relations":201,"repo":203,"workflow":228},1778053327521.583,"k1755h8c0h91grnm6rvp9mnqk9866d5x",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Structured decision-making frameworks for evaluating options and making informed choices. Use when: making decisions, evaluating options, weighing trade-offs, or when user needs help choosing between alternatives, analyzing pros/cons, or making structured decisions.",{},"Decision Helper","https://github.com/shubhamsaboo/awesome-llm-apps/tree/HEAD/awesome_agent_skills/decision-helper",[15,16,17,18],"decision-making","frameworks","analysis","llm-skill",{"_creationTime":20,"_id":21,"extensionId":5,"locale":22,"result":23,"trustSignals":178,"workflow":188},1778053376632.4412,"kn75ej15zb543f8jf7c4zt1nq5867b7k","en",{"checks":24,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[25,30,33,36,40,43,48,52,55,58,62,67,70,74,77,80,83,86,89,92,96,100,104,108,112,115,118,121,125,128,131,134,137,140,144,147,151,155,158,161,165],{"category":26,"check":27,"severity":28,"summary":29},"Practical Utility","Problem relevance","pass","The description clearly states the problem of structured decision-making and choosing between alternatives.",{"category":26,"check":31,"severity":28,"summary":32},"Unique selling proposition","The skill offers several distinct decision-making frameworks (Pros/Cons, Decision Matrix, SWOT, ICE) which is more than default LLM behavior.",{"category":26,"check":34,"severity":28,"summary":35},"Production readiness","The skill provides clear instructions and output formats for structured decision-making, covering the complete lifecycle from option evaluation to recommendation and next steps.",{"category":37,"check":38,"severity":28,"summary":39},"Scope","Single responsibility principle","The skill focuses on structured decision-making processes and does not extend into unrelated domains.",{"category":37,"check":41,"severity":28,"summary":42},"Description quality","The description is concise, readable, and accurately reflects the skill's purpose of providing structured decision-making frameworks.",{"category":44,"check":45,"severity":46,"summary":47},"Invocation","Scoped tools","not_applicable","This skill does not expose specific tools but rather guides the LLM's internal decision-making process.",{"category":49,"check":50,"severity":46,"summary":51},"Documentation","Configuration & parameter reference","The skill does not have configurable parameters or external configuration files that require documentation.",{"category":37,"check":53,"severity":46,"summary":54},"Tool naming","No specific tools are exposed by this skill; it operates as a guided LLM process.",{"category":37,"check":56,"severity":46,"summary":57},"Minimal I/O surface","The skill does not expose explicit tools with parameter schemas or response shapes, as it guides the LLM's internal reasoning.",{"category":59,"check":60,"severity":28,"summary":61},"License","License usability","The license is MIT, a permissive open-source license, clearly stated in the frontmatter and LICENSE file.",{"category":63,"check":64,"severity":65,"summary":66},"Maintenance","Commit recency","critical","There are no commits on the default branch (pushedAt: n/a), indicating the repository is likely unmaintained or not actively developed, posing a risk for users.",{"category":63,"check":68,"severity":46,"summary":69},"Dependency Management","The skill does not appear to have any third-party dependencies that require management.",{"category":71,"check":72,"severity":46,"summary":73},"Security","Secret Management","The skill does not handle or expose any secrets.",{"category":71,"check":75,"severity":28,"summary":76},"Injection","The skill operates on structured decision-making prompts and does not load or execute untrusted external data.",{"category":71,"check":78,"severity":28,"summary":79},"Transitive Supply-Chain Grenades","The skill is self-contained and does not fetch external content at runtime.",{"category":71,"check":81,"severity":28,"summary":82},"Sandbox Isolation","The skill is purely prompt-based and does not interact with the file system or perform operations outside its designated scope.",{"category":71,"check":84,"severity":28,"summary":85},"Sandbox escape primitives","No detached-process spawns or deny-retry loops are present, as the skill does not execute external scripts.",{"category":71,"check":87,"severity":28,"summary":88},"Data Exfiltration","The skill does not make any outbound calls or handle sensitive data.",{"category":71,"check":90,"severity":28,"summary":91},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, and descriptions use clean, printable ASCII.",{"category":93,"check":94,"severity":28,"summary":95},"Hooks","Opaque code execution","The skill's implementation consists of clear, readable markdown instructions and does not involve obfuscated code or runtime script fetching.",{"category":97,"check":98,"severity":46,"summary":99},"Portability","Structural Assumption","The skill makes no assumptions about user-specific project organization as it operates solely within the LLM's context.",{"category":101,"check":102,"severity":46,"summary":103},"Trust","Issues Attention","Issue tracking data is not available (n/a opened, n/a closed).",{"category":105,"check":106,"severity":28,"summary":107},"Versioning","Release Management","A meaningful manifest version ('1.0.0') is provided in the SKILL.md frontmatter.",{"category":109,"check":110,"severity":46,"summary":111},"Code Execution","Validation","The skill does not involve executable code or structured output that requires validation.",{"category":71,"check":113,"severity":28,"summary":114},"Unguarded Destructive Operations","The skill is purely analytical and does not perform any destructive operations.",{"category":109,"check":116,"severity":28,"summary":117},"Error Handling","As a prompt-based skill, error handling is managed by the LLM's response processing, and no external scripts are involved.",{"category":109,"check":119,"severity":46,"summary":120},"Logging","The skill is read-only and does not perform actions that require local audit logging.",{"category":122,"check":123,"severity":28,"summary":124},"Compliance","GDPR","The skill does not operate on or submit personal data.",{"category":122,"check":126,"severity":28,"summary":127},"Target market","The skill's decision-making frameworks are general and not tied to any specific geography; targetMarket is 'global'.",{"category":97,"check":129,"severity":28,"summary":130},"Runtime stability","The skill relies only on standard LLM capabilities and does not make assumptions about specific shells, OS, or runtimes.",{"category":44,"check":132,"severity":28,"summary":133},"Precise Purpose","The description clearly states the purpose (structured decision-making) and provides specific use cases and frameworks.",{"category":44,"check":135,"severity":28,"summary":136},"Concise Frontmatter","The frontmatter is concise and clearly summarizes the skill's core capability and use cases.",{"category":49,"check":138,"severity":28,"summary":139},"Concise Body","The skill body is concise and well-organized, using an output format example rather than extensive inline code.",{"category":141,"check":142,"severity":28,"summary":143},"Context","Progressive Disclosure","The skill body is concise and does not require progressive disclosure for deeper material.",{"category":141,"check":145,"severity":46,"summary":146},"Forked exploration","The skill does not involve deep exploration or code review that would necessitate `context: fork`.",{"category":26,"check":148,"severity":149,"summary":150},"Usage examples","warning","While the output format is detailed, there are no concrete end-to-end examples demonstrating input, invocation, and observable outcome for any of the decision frameworks.",{"category":26,"check":152,"severity":153,"summary":154},"Edge cases","info","The 'Decision-Making Tips' section touches on some general best practices but doesn't explicitly document failure modes or recovery paths for the skill's operation.",{"category":109,"check":156,"severity":46,"summary":157},"Tool Fallback","The skill does not rely on external tools like an MCP server.",{"category":97,"check":159,"severity":28,"summary":160},"Stack assumptions","The skill relies on the LLM's runtime and has no specific stack assumptions or preconditions.",{"category":162,"check":163,"severity":28,"summary":164},"Safety","Halt on unexpected state","As a prompt-based skill, unexpected states are handled by the LLM's internal processing and error reporting.",{"category":97,"check":166,"severity":28,"summary":167},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills.",1778053355731,"This skill offers various decision-making frameworks such as Pros/Cons Analysis, Decision Matrix, and SWOT, guiding users through option evaluation, trade-off analysis, and ultimately recommending a course of action with defined next steps.","2.0.0","3.4.0","The skill is well-documented and focused on a clear purpose, but the lack of commit activity on the default branch ('critical' severity for Commit recency) is a significant concern regarding maintenance. Additionally, the absence of concrete usage examples ('warning' severity for Usage examples) limits its immediate practical utility.",70,"A well-structured agent skill providing frameworks for structured decision-making.",[15,16,17,18],"global","flagged",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":187},{},1778053345508,{"descriptionLength":182,"readmeSize":8},266,{},{"hasNpmPackage":185,"license":186,"smitheryVerified":185},false,"MIT",{"hasCi":185,"hasTests":185},{"updatedAt":189},1778053376632,{"githubOwner":191,"githubRepo":192,"locale":22,"slug":193,"type":194},"shubhamsaboo","awesome-llm-apps","decision-helper","skill",true,null,{"extract":198,"llm":200},{"commitSha":199,"license":186},"a35897449fe8b0fab12e8f0fd9f2e2a40e872ab7",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":202},"kd73kvct1kme7748mpsbddhhmx865wd3",{"_creationTime":204,"_id":202,"identity":205,"providers":207,"workflow":225},1777995558409.8494,{"githubOwner":191,"githubRepo":192,"sourceUrl":206},"https://github.com/shubhamsaboo/awesome-llm-apps",{"discover":208,"github":211},{"sources":209},[210],"skills-sh",{"closedIssues90d":212,"forks":213,"homepage":214,"license":215,"openIssues90d":216,"pushedAt":217,"readmeSize":218,"stars":219,"topics":220},18,16118,"https://www.theunwindai.com","Apache-2.0",1,1777876539000,20628,108975,[221,222,223,224],"llms","rag","python","agents",{"discoverAt":226,"extractAt":227,"githubAt":227,"updatedAt":227},1777995558409,1778053331062,{"anyEnrichmentAt":229,"extractAt":230,"githubAt":229,"llmAt":189,"updatedAt":189},1778053329769,1778053327521,[],[233,255,283,303,322,351],{"_creationTime":234,"_id":235,"community":236,"display":237,"identity":246,"providers":248,"relations":253,"workflow":254},1778053327521.585,"k17eftejnaapgr7mnfajqgng2h866syh",{"reviewCount":8},{"description":238,"installMethods":239,"name":240,"sourceUrl":241,"tags":242},"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",[243,244,245,18,17],"fact-checking","misinformation","verification",{"githubOwner":191,"githubRepo":192,"locale":22,"slug":247,"type":194},"fact-checker",{"extract":249,"llm":250},{"commitSha":199,"license":186},{"promptVersionExtension":170,"promptVersionScoring":171,"score":251,"targetMarket":176,"tier":252},100,"verified",{"repoId":202},{"anyEnrichmentAt":229,"extractAt":230,"githubAt":229,"llmAt":189,"updatedAt":189},{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":268,"providers":272,"relations":277,"workflow":279},1778053730743.9697,"k17ag2zxtffrwy87ne2bqv95z5867zmg",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"sourceUrl":263,"tags":264},"Help users run effective decision-making processes. Use when someone is facing a high-stakes decision, dealing with analysis paralysis, needs to align stakeholders on a choice, or wants to establish decision frameworks like DACI or RAPID.",{},"Running Decision Processes","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/running-decision-processes",[15,16,265,266,267],"strategy","leadership","product-management",{"githubOwner":269,"githubRepo":270,"locale":22,"slug":271,"type":194},"refoundai","lenny-skills","running-decision-processes",{"extract":273,"llm":275},{"commitSha":274,"license":186},"280a57aa42fed3b6f35f51f0d9e71013b4c8ae74",{"promptVersionExtension":170,"promptVersionScoring":171,"score":276,"targetMarket":176,"tier":252},92,{"repoId":278},"kd71b12s61d3nrk4f6dxqd3z35865mkg",{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282},1778053732694,1778053730744,1778053975687,{"_creationTime":284,"_id":285,"community":286,"display":287,"identity":296,"providers":298,"relations":301,"workflow":302},1778053730743.9688,"k17f5hd5zesdegwjhbej48atw1866ckt",{"reviewCount":8},{"description":288,"installMethods":289,"name":290,"sourceUrl":291,"tags":292},"Help users develop product taste and intuition. Use when someone wants to improve their product judgment, struggles to evaluate design quality, needs to make decisions without complete data, or wants to build better product instincts.",{},"Product Taste & Intuition","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/product-taste-intuition",[267,293,294,15,16,295],"intuition","design","guidance",{"githubOwner":269,"githubRepo":270,"locale":22,"slug":297,"type":194},"product-taste-intuition",{"extract":299,"llm":300},{"commitSha":274,"license":186},{"promptVersionExtension":170,"promptVersionScoring":171,"score":276,"targetMarket":176,"tier":252},{"repoId":278},{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282},{"_creationTime":304,"_id":305,"community":306,"display":307,"identity":314,"providers":316,"relations":320,"workflow":321},1778053730743.954,"k17719n0yyg71qcmxhbm717azd867dmc",{"reviewCount":8},{"description":308,"installMethods":309,"name":310,"sourceUrl":311,"tags":312},"Help users make better decisions between competing options. Use when someone is weighing pros and cons, comparing alternatives, struggling with a difficult choice, deciding between speed and quality, or asking \"should we do X or Y?\"",{},"Evaluating Trade-offs","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/evaluating-trade-offs",[15,265,267,16,313],"trade-offs",{"githubOwner":269,"githubRepo":270,"locale":22,"slug":315,"type":194},"evaluating-trade-offs",{"extract":317,"llm":318},{"commitSha":274,"license":186},{"promptVersionExtension":170,"promptVersionScoring":171,"score":319,"targetMarket":176,"tier":252},85,{"repoId":278},{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282},{"_creationTime":323,"_id":324,"community":325,"display":326,"identity":336,"providers":340,"relations":345,"workflow":347},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":327,"installMethods":328,"name":329,"sourceUrl":330,"tags":331},"Systematically identify what's missing in non-fiction writing—both blind spots (inherent limitations) and blank spots (gaps that could be addressed). Use before finalizing non-fiction or when feedback feels incomplete.",{},"Blind Spot Detective","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/writing/analysis/blind-spot-detective",[332,17,333,334,335],"writing","non-fiction","diagnostic","documentation",{"githubOwner":337,"githubRepo":338,"locale":22,"slug":339,"type":194},"jwynia","agent-skills","blind-spot-detective",{"extract":341,"llm":343},{"commitSha":342,"license":186},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":170,"promptVersionScoring":171,"score":344,"targetMarket":176,"tier":252},99,{"repoId":346},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":348,"extractAt":349,"githubAt":348,"llmAt":350,"updatedAt":350},1778053625386,1778053622473,1778054012696,{"_creationTime":352,"_id":353,"community":354,"display":355,"identity":366,"providers":370,"relations":375,"workflow":377},1778004105161.7068,"k175vr59yk0pyv518scsk261jx865hya",{"reviewCount":8},{"description":356,"installMethods":357,"name":358,"sourceUrl":359,"tags":360},"史蒂夫·乔布斯(Steve Jobs)的思维框架与表达方式。基于Isaacson授权传记、Stanford演讲、 Lost Interview、D Conference系列、Make Something Wonderful、30+一手来源的深度调研， 提炼6个核心心智模型、8条决策启发式和完整的表达DNA。 用途：作为思维顾问，用乔布斯的视角分析产品、审视决策、提供反馈。 当用户提到「用乔布斯的视角」「乔布斯会怎么看」「Jobs模式」「steve jobs perspective」时使用。 即使用户只是说「帮我用乔布斯的角度想想」「如果乔布斯会怎么做」「切换到乔布斯」也应触发。",{},"Steve Jobs .skill","https://github.com/alchaincyf/steve-jobs-skill",[361,362,363,15,267,364,365],"steve-jobs","biography","philosophy","communication","persona",{"githubOwner":367,"githubRepo":368,"locale":22,"slug":369,"type":194},"alchaincyf","steve-jobs-skill","steve-jobs-perspective",{"extract":371,"llm":373},{"commitSha":372,"license":186},"934d1202a8de7b5b30b8df09482869c4fed51492",{"promptVersionExtension":170,"promptVersionScoring":171,"score":374,"targetMarket":176,"tier":252},98,{"repoId":376},"kd77zzpwwmvwfk6x408hzq01ds8646st",{"anyEnrichmentAt":378,"extractAt":379,"githubAt":378,"llmAt":380,"updatedAt":380},1778054381725,1778054381250,1778054393916]