[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-emblemcompany-emblem-ai-prompt-examples-ja":3,"guides-for-emblemcompany-emblem-ai-prompt-examples":233,"similar-k171an9g6vjp9em6j9c9qcpdv5867ktz":234},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":19,"identity":187,"isFallback":192,"parentExtension":193,"providers":194,"relations":198,"repo":200,"workflow":230},1778053187365.2683,"k171an9g6vjp9em6j9c9qcpdv5867ktz",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Curated prompt and usage examples for research, portfolio review, quote requests, approval-gated drafts, NFT discovery, prediction-market analysis, and assistant workflows. Emphasis is review-first, trust-boundary-aware use of external data, and explicit confirmation before any value-moving action. Use when the user wants example prompts, phrasing guidance, or sample requests for end-user EmblemAI tasks.",{},"EmblemAI Prompt Examples","https://github.com/emblemcompany/agent-skills/tree/HEAD/skills/emblem-ai-prompt-examples",[15,16,17,18],"prompt-engineering","examples","emblem-ai","documentation",{"_creationTime":20,"_id":21,"extensionId":5,"locale":22,"result":23,"trustSignals":175,"workflow":185},1778053238491.5312,"kn7c4f96rnsgsd9fw6d6pdyb31867tzb","en",{"checks":24,"evaluatedAt":165,"extensionSummary":166,"promptVersionExtension":167,"promptVersionScoring":168,"rationale":169,"score":170,"summary":171,"tags":172,"targetMarket":173,"tier":174},[25,30,33,36,40,43,48,52,55,58,62,66,69,73,76,79,82,85,88,91,95,99,103,107,111,114,117,120,124,127,130,133,136,139,143,146,149,152,155,158,162],{"category":26,"check":27,"severity":28,"summary":29},"Practical Utility","Problem relevance","pass","The description clearly states the problem of needing curated prompt and usage examples for various EmblemAI tasks and workflows.",{"category":26,"check":31,"severity":28,"summary":32},"Unique selling proposition","The skill offers curated, domain-specific prompt examples and guidance, which is a clear value add beyond generic LLM capabilities or simple API wrappers.",{"category":26,"check":34,"severity":28,"summary":35},"Production readiness","The skill provides a complete set of documentation and examples, making it ready for use by agents seeking prompt guidance for EmblemAI tasks.",{"category":37,"check":38,"severity":28,"summary":39},"Scope","Single responsibility principle","The skill's scope is focused on providing prompt examples and usage guidance for EmblemAI tasks, aligning with its name and description.",{"category":37,"check":41,"severity":28,"summary":42},"Description quality","The description accurately reflects the skill's purpose of providing curated prompt examples for EmblemAI workflows.",{"category":44,"check":45,"severity":46,"summary":47},"Invocation","Scoped tools","not_applicable","This skill does not expose specific tools; its functionality is to provide textual prompt examples and guidance.",{"category":49,"check":50,"severity":46,"summary":51},"Documentation","Configuration & parameter reference","This skill does not have configurable parameters or environment variables that require documentation.",{"category":37,"check":53,"severity":46,"summary":54},"Tool naming","This skill does not expose user-facing tools with names.",{"category":37,"check":56,"severity":46,"summary":57},"Minimal I/O surface","As this skill provides only textual examples and guidance, it does not have a structured input/output surface to evaluate.",{"category":59,"check":60,"severity":28,"summary":61},"License","License usability","The extension is licensed under the MIT license, which is a permissive open-source license.",{"category":63,"check":64,"severity":46,"summary":65},"Maintenance","Commit recency","No commit history is available for this evaluation.",{"category":63,"check":67,"severity":46,"summary":68},"Dependency Management","The skill does not appear to have any third-party dependencies that require management.",{"category":70,"check":71,"severity":46,"summary":72},"Security","Secret Management","This skill provides only prompt examples and does not handle or expose any secrets.",{"category":70,"check":74,"severity":28,"summary":75},"Injection","The skill provides textual examples and does not load or execute third-party data that could be a vector for injection.",{"category":70,"check":77,"severity":28,"summary":78},"Transitive Supply-Chain Grenades","The skill's content is entirely bundled and does not involve runtime downloads or execution of external code.",{"category":70,"check":80,"severity":28,"summary":81},"Sandbox Isolation","The skill is read-only and does not modify any files or system state outside its own scope.",{"category":70,"check":83,"severity":28,"summary":84},"Sandbox escape primitives","The skill's nature as a provider of static text examples prevents any sandbox escape primitives.",{"category":70,"check":86,"severity":28,"summary":87},"Data Exfiltration","The skill does not make any outbound calls or access confidential data.",{"category":70,"check":89,"severity":28,"summary":90},"Hidden Text Tricks","The bundled content appears free of hidden-steering tricks or obfuscated text.",{"category":92,"check":93,"severity":28,"summary":94},"Hooks","Opaque code execution","The skill's content is readable markdown and plain text, with no obfuscated code or runtime fetches.",{"category":96,"check":97,"severity":28,"summary":98},"Portability","Structural Assumption","The skill provides prompt examples and does not make assumptions about the user's project structure.",{"category":100,"check":101,"severity":46,"summary":102},"Trust","Issues Attention","No issues data available for evaluation.",{"category":104,"check":105,"severity":28,"summary":106},"Versioning","Release Management","The SKILL.md file includes a version field ('1.0.0'), indicating clear versioning.",{"category":108,"check":109,"severity":46,"summary":110},"Code Execution","Validation","This skill does not execute code or process structured input/output that would require validation.",{"category":70,"check":112,"severity":28,"summary":113},"Unguarded Destructive Operations","The skill is read-only and contains no destructive operations.",{"category":108,"check":115,"severity":46,"summary":116},"Error Handling","As the skill provides only static text and no executable code, error handling is not applicable.",{"category":108,"check":118,"severity":46,"summary":119},"Logging","The skill is read-only and does not perform actions that would require local logging.",{"category":121,"check":122,"severity":28,"summary":123},"Compliance","GDPR","The skill provides prompt examples and does not operate on or collect personal data.",{"category":121,"check":125,"severity":28,"summary":126},"Target market","The extension's prompts are general enough to be applicable globally, with no specific regional logic detected.",{"category":96,"check":128,"severity":28,"summary":129},"Runtime stability","The skill is platform-agnostic, providing text-based examples that do not rely on specific runtimes or OS features.",{"category":44,"check":131,"severity":28,"summary":132},"Precise Purpose","The description clearly defines the skill's purpose of providing curated prompt examples for EmblemAI workflows and explicitly states its non-goal of providing implementation details.",{"category":44,"check":134,"severity":28,"summary":135},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and trigger phrases for routing.",{"category":49,"check":137,"severity":28,"summary":138},"Concise Body","The SKILL.md body is well-structured, under the line limit, and delegates detailed information to separate reference files, adhering to progressive disclosure.",{"category":140,"check":141,"severity":28,"summary":142},"Context","Progressive Disclosure","Detailed prompt sets are organized into separate markdown files within the `references/` directory, linked from the main SKILL.md.",{"category":140,"check":144,"severity":46,"summary":145},"Forked exploration","This skill provides static prompt examples and does not involve deep exploration or code review that would necessitate `context: fork`.",{"category":26,"check":147,"severity":28,"summary":148},"Usage examples","The skill includes numerous examples across various prompt categories, demonstrating their intended usage and expected outcomes.",{"category":26,"check":150,"severity":28,"summary":151},"Edge cases","The skill's documentation includes guidance on prompt construction, emphasizing safety constraints and best practices, effectively handling potential edge cases in prompt usage.",{"category":108,"check":153,"severity":46,"summary":154},"Tool Fallback","This skill does not rely on external tools like an MCP server and therefore has no fallback requirement.",{"category":96,"check":156,"severity":28,"summary":157},"Stack assumptions","The skill is platform-agnostic, providing text-based prompts that do not assume specific stacks or runtimes.",{"category":159,"check":160,"severity":28,"summary":161},"Safety","Halt on unexpected state","The skill's nature as a read-only provider of prompt examples means it does not have executable code that could encounter unexpected states.",{"category":96,"check":163,"severity":28,"summary":164},"Cross-skill coupling","The skill is self-contained, providing prompt examples and does not implicitly rely on other skills being loaded.",1778053202590,"This skill offers a comprehensive collection of prompt and usage examples for various EmblemAI tasks, including wallet operations, market research, trading, and more. It serves as a reference for generating effective prompts and phrases, emphasizing safety and review-first principles without executing any actions.","2.0.0","3.4.0","The skill is well-documented, provides a clear value proposition by offering curated prompt examples for EmblemAI workflows, and adheres to best practices in terms of scope, security, and usability. All checks passed or were not applicable, indicating high quality.",98,"A high-quality skill providing curated prompt examples for EmblemAI workflows.",[15,16,17,18],"global","verified",{"codeQuality":176,"collectedAt":177,"documentation":178,"maintenance":180,"security":181,"testCoverage":184},{},1778053191539,{"descriptionLength":179,"readmeSize":8},407,{},{"hasNpmPackage":182,"license":183,"smitheryVerified":182},false,"MIT",{"hasCi":182,"hasTests":182},{"updatedAt":186},1778053238491,{"githubOwner":188,"githubRepo":189,"locale":22,"slug":190,"type":191},"emblemcompany","agent-skills","emblem-ai-prompt-examples","skill",true,null,{"extract":195,"llm":197},{"commitSha":196,"license":183},"e9e2828aa3e1c32a6dd36fd9037b815b8e12facd",{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"repoId":199},"kd76dmtwdx03886dj4fsp18tss864e0x",{"_creationTime":201,"_id":199,"identity":202,"providers":204,"workflow":227},1777995558409.8533,{"githubOwner":188,"githubRepo":189,"sourceUrl":203},"https://github.com/emblemcompany/agent-skills",{"discover":205,"github":208},{"sources":206},[207],"skills-sh",{"closedIssues90d":8,"forks":209,"homepage":210,"license":183,"openIssues90d":209,"pushedAt":211,"readmeSize":212,"stars":213,"topics":214},1,"https://emblemvault.ai",1776679590000,9830,10,[189,215,216,217,218,219,220,221,222,223,224,225,226],"ai-agent","blockchain","cross-chain","crypto","defi","emblem","emblemai","ethereum","nft","solana","wallet","web3",{"discoverAt":228,"extractAt":229,"githubAt":229,"updatedAt":229},1777995558409,1778053190633,{"anyEnrichmentAt":231,"extractAt":232,"githubAt":231,"llmAt":186,"updatedAt":186},1778053187831,1778053187365,[],[235,263,291,319,348,374],{"_creationTime":236,"_id":237,"community":238,"display":239,"identity":250,"providers":253,"relations":257,"workflow":259},1778054812528.7205,"k179w7m3n2zkvrbhmmwn1stces86799q",{"reviewCount":8},{"description":240,"installMethods":241,"name":242,"sourceUrl":243,"tags":244},"3D web graphics with Three.js (WebGL/WebGPU). Capabilities: scenes, cameras, geometries, materials, lights, animations, model loading (GLTF/FBX), PBR materials, shadows, post-processing (bloom, SSAO, SSR), custom shaders, instancing, LOD, physics, VR/XR. Actions: create, build, animate, render 3D scenes/models. Keywords: Three.js, WebGL, WebGPU, 3D graphics, scene, camera, geometry, material, light, animation, GLTF, FBX, OrbitControls, PBR, shadow mapping, post-processing, bloom, SSAO, shader, instancing, LOD, WebXR, VR, AR, product configurator, data visualization, architectural walkthrough, interactive 3D, canvas. Use when: creating 3D visualizations, building WebGL/WebGPU apps, loading 3D models, adding animations, implementing VR/XR, creating interactive graphics, building product configurators.",{},"3D Graphics with Three.js","https://github.com/samhvw8/dot-claude/tree/HEAD/skills/3d-graphics",[245,246,247,248,18,249,16],"three-js","webgl","webgpu","3d-graphics","learning",{"githubOwner":251,"githubRepo":252,"locale":22,"slug":248,"type":191},"samhvw8","dot-claude",{"extract":254,"llm":256},{"commitSha":255,"license":183},"28c76162116d2eedab131c0e1548fdc76a2999f7",{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"repoId":258},"kd79ad9dpqazy79y2s6rvajgjn865xek",{"anyEnrichmentAt":260,"extractAt":261,"githubAt":260,"llmAt":262,"updatedAt":262},1778054813688,1778054812528,1778054896678,{"_creationTime":264,"_id":265,"community":266,"display":267,"identity":277,"providers":280,"relations":285,"workflow":287},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":268,"installMethods":269,"name":270,"sourceUrl":271,"tags":272},"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",[273,274,275,276,18],"writing","analysis","non-fiction","diagnostic",{"githubOwner":278,"githubRepo":189,"locale":22,"slug":279,"type":191},"jwynia","blind-spot-detective",{"extract":281,"llm":283},{"commitSha":282,"license":183},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":167,"promptVersionScoring":168,"score":284,"targetMarket":173,"tier":174},99,{"repoId":286},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":288,"extractAt":289,"githubAt":288,"llmAt":290,"updatedAt":290},1778053625386,1778053622473,1778054012696,{"_creationTime":292,"_id":293,"community":294,"display":295,"identity":306,"providers":309,"relations":313,"workflow":315},1778053148350.4475,"k171c93xj4bgdjdrmjt3mdb4f18668n1",{"reviewCount":8},{"description":296,"installMethods":297,"name":298,"sourceUrl":299,"tags":300},"Create effective AI image generation prompts for DALL-E, Midjourney, and Stable Diffusion. Generate prompts for various styles and use cases.",{},"Image Generation","https://github.com/claude-office-skills/skills/tree/HEAD/image-generation",[301,15,302,303,304,305,18],"image-generation","ai-art","dall-e","midjourney","stable-diffusion",{"githubOwner":307,"githubRepo":308,"locale":22,"slug":301,"type":191},"claude-office-skills","skills",{"extract":310,"llm":312},{"commitSha":311,"license":183},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"repoId":314},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":316,"extractAt":317,"githubAt":316,"llmAt":318,"updatedAt":318},1778053151766,1778053148350,1778053561145,{"_creationTime":320,"_id":321,"community":322,"display":323,"identity":334,"providers":338,"relations":342,"workflow":344},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":324,"installMethods":325,"name":326,"sourceUrl":327,"tags":328},"Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.",{},"Customer Journey Mapper","https://github.com/onewave-ai/claude-skills/tree/HEAD/customer-journey-mapper",[329,330,331,332,18,333],"customer-experience","journey-mapping","strategy","marketing","reporting",{"githubOwner":335,"githubRepo":336,"locale":22,"slug":337,"type":191},"onewave-ai","claude-skills","customer-journey-mapper",{"extract":339,"llm":341},{"commitSha":340,"license":183},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271",{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"repoId":343},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":345,"extractAt":346,"githubAt":345,"llmAt":347,"updatedAt":347},1778054667983,1778054663200,1778055270278,{"_creationTime":349,"_id":350,"community":351,"display":352,"identity":361,"providers":364,"relations":368,"workflow":370},1778054564989.5369,"k1767w6z2kv4rgf7gryn1saw6x867n0n",{"reviewCount":8},{"description":353,"installMethods":354,"name":355,"sourceUrl":356,"tags":357},"Refactor CLAUDE.md files to follow progressive disclosure principles. Use when CLAUDE.md is too long or disorganized.",{},"ReClaude","https://github.com/brianlovin/claude-config/tree/HEAD/skills/reclaude",[18,358,359,360],"refactoring","markdown","claude-config",{"githubOwner":362,"githubRepo":360,"locale":22,"slug":363,"type":191},"brianlovin","reclaude",{"extract":365,"llm":367},{"commitSha":366,"license":46},"1a9819ebf3fee811150fc76cbe177ea4e5f747ff",{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"repoId":369},"kd7c7ftew8fsa52skn0fm3rfvd864fmn",{"anyEnrichmentAt":371,"extractAt":372,"githubAt":371,"llmAt":373,"updatedAt":373},1778054565711,1778054564989,1778054628464,{"_creationTime":375,"_id":376,"community":377,"display":378,"identity":387,"providers":391,"relations":395,"workflow":397},1778054123074.2559,"k171bg90a9mh96w2p4em6tn7zh8676as",{"reviewCount":8},{"description":379,"installMethods":380,"name":381,"sourceUrl":382,"tags":383},"Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Use when the user asks about AI SEO, AISO, getting cited by AI, appearing in AI answers, answer engine optimization, AEO, GEO, LLMO, AI Overviews, zero-click search, or how to appear in ChatGPT/Perplexity results. For traditional SEO, see diagnose-seo.",{},"Optimize for AI","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/optimize-for-ai",[384,385,386,332,18],"seo","ai","content-optimization",{"githubOwner":388,"githubRepo":389,"locale":22,"slug":390,"type":191},"calm-north","seojuice-skills","optimize-for-ai",{"extract":392,"llm":394},{"commitSha":393,"license":183},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"repoId":396},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":398,"extractAt":399,"githubAt":398,"llmAt":400,"updatedAt":400},1778054123513,1778054123074,1778054162250]