[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-digitalsamba-qwen-edit-zh-CN":3,"guides-for-digitalsamba-qwen-edit":397,"similar-k173tcez10fhbhwryx25hbr2yd86nfwt-zh-CN":398},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":241,"isFallback":236,"parentExtension":246,"providers":247,"relations":253,"repo":256,"tags":393,"workflow":394},1778686613108.7417,"k173tcez10fhbhwryx25hbr2yd86nfwt",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"AI图像编辑的Qwen-Image-Edit提示模式。用于在编辑照片时保留身份、重新构图裁剪的图像、更换服装或配饰、调整姿势、应用风格转换或角色转换。提供提示模式、参数调整和示例。",{"claudeCode":12},"digitalsamba/claude-code-video-toolkit","qwen-edit","https://github.com/digitalsamba/claude-code-video-toolkit",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":222,"workflow":239},1778686613108.742,"kn7er810dz1fxjbrznmkdtpdg186m55a","zh-CN",{"checks":20,"evaluatedAt":192,"extensionSummary":193,"features":194,"nonGoals":200,"promptVersionExtension":204,"promptVersionScoring":205,"purpose":206,"rationale":207,"score":208,"summary":209,"tags":210,"tier":216,"useCases":217},[21,26,29,32,36,39,43,47,50,53,57,61,64,68,71,74,77,80,83,86,90,94,98,102,106,109,113,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","描述清楚地指出了与AI图像编辑相关的具体用户问题，并指定了用户可以执行的照片和转换类型。",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","该技能为Qwen-Image-Edit提供了特定的提示模式、参数调整和示例，超出了基本的LLM图像处理能力。",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","该技能旨在用于工作流程中，提供了一个CLI工具（`tools/image_edit.py`），该工具与云端点交互，涵盖了基于提示的图像编辑的完整生命周期。",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","该扩展专注于Qwen-Image-Edit的AI图像编辑模式，这是一个单一、连贯的领域。",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","显示的描述准确地反映了SKILL.md和示例中概述的技能功能。",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","主要工具`tools/image_edit.py`是一个用于图像编辑的特定脚本，而不是一个通用的任意命令执行器。",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","`parameters.md`文件全面记录了所有可用参数、它们的范围和建议。",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","主工具`image_edit.py`的命名描述了其功能。",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","`image_edit.py`脚本接受明确定义的参数，如`--input`、`--prompt`、`--negative`等，并且不暴露过多的或不必要的字段。",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","该扩展根据MIT许可证授权，该许可证是允许性的，并在LICENSE文件中明确说明。",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","存储库有最近的提交，最近一次推送是在2026年5月11日，表明维护活跃。",{"category":58,"check":62,"severity":24,"summary":63},"Dependency Management","该项目包含`requirements.txt`和`package.json`（根据README示例推断），这表明存在依赖管理实践。",{"category":65,"check":66,"severity":24,"summary":67},"Security","Secret Management","在提供的代码片段或文档中没有硬编码或直接暴露的秘密。",{"category":65,"check":69,"severity":24,"summary":70},"Injection","该技能的代码似乎不加载或执行不受信任的第三方数据作为指令。",{"category":65,"check":72,"severity":24,"summary":73},"Transitive Supply-Chain Grenades","该技能在运行时不获取可能被操纵的外部代码或数据。",{"category":65,"check":75,"severity":24,"summary":76},"Sandbox Isolation","提供的脚本（`image_edit.py`）操作输入文件，并且不尝试修改其指定范围之外的文件。",{"category":65,"check":78,"severity":24,"summary":79},"Sandbox escape primitives","脚本中没有出现分离的进程生成或拒绝重试循环的证据。",{"category":65,"check":81,"severity":24,"summary":82},"Data Exfiltration","没有读取或将机密数据提交给第三方的指令；出站调用已记录用于AI工具。",{"category":65,"check":84,"severity":24,"summary":85},"Hidden Text Tricks","捆绑的内容不包含隐藏的操纵技巧，描述使用干净、可打印的ASCII和预期的Unicode。",{"category":87,"check":88,"severity":24,"summary":89},"Hooks","Opaque code execution","`image_edit.py`脚本是纯Python代码，没有混淆或动态获取。",{"category":91,"check":92,"severity":24,"summary":93},"Portability","Structural Assumption","脚本操作指定的输入文件，不假定用户项目组织的结构。",{"category":95,"check":96,"severity":24,"summary":97},"Trust","Issues Attention","在过去90天内有1个开放和4个已关闭的问题，关闭率足够，表明维护者参与度良好。",{"category":99,"check":100,"severity":24,"summary":101},"Versioning","Release Management","存储库有GitHub发布标签和CHANGELOG.md，提供了清晰的版本控制信号。",{"category":103,"check":104,"severity":24,"summary":105},"Execution","Validation","`image_edit.py`脚本的输入参数已明确定义，并预计由底层库或CLI解析进行验证。",{"category":65,"check":107,"severity":24,"summary":108},"Unguarded Destructive Operations","图像编辑操作不是破坏性的；它会生成新的输出文件。",{"category":110,"check":111,"severity":24,"summary":112},"Code Execution","Error Handling","Python图像编辑脚本预计具有标准的错误处理，并且底层库将报告问题。",{"category":110,"check":114,"severity":115,"summary":116},"Logging","not_applicable","该技能主要关注图像生成，不执行破坏性操作或需要本地审计日志的出站调用。",{"category":118,"check":119,"severity":115,"summary":120},"Compliance","GDPR","该技能操作图像文件和提示，不直接处理个人数据，因此不构成GDPR风险。",{"category":118,"check":122,"severity":24,"summary":123},"Target market","该技能的功能是通用的，不包含任何区域或司法管辖区逻辑，因此其目标市场是“global”。",{"category":91,"check":125,"severity":24,"summary":126},"Runtime stability","脚本依赖于标准的Python库和云GPU执行，表明良好的跨平台稳定性。",{"category":44,"check":128,"severity":24,"summary":129},"README","README.md文件提供了对工具包的全面概述，包括设置、功能和用法。",{"category":33,"check":131,"severity":24,"summary":132},"Tool surface size","该技能的核心功能通过一个单一、定义良好的脚本（`image_edit.py`）进行访问。",{"category":40,"check":134,"severity":24,"summary":135},"Overlapping near-synonym tools","该技能专注于一个主要工具（`image_edit.py`），避免了近义词的冗余。",{"category":44,"check":137,"severity":24,"summary":138},"Phantom features","README和SKILL.md中为Qwen-Image-Edit宣传的所有功能都在提供的脚本和文档中有相应的实现。",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","README提供了清晰的安装说明和可复制粘贴的示例来使用该工具包，包括云GPU的设置。",{"category":144,"check":145,"severity":24,"summary":146},"Errors","Actionable error messages","预期的标准Python错误处理，CLI工具应为无效输入或执行失败提供清晰的消息。",{"category":103,"check":148,"severity":24,"summary":149},"Pinned dependencies","该项目在`requirements.txt`和`package.json`（推断）中指定了依赖项，允许固定版本。",{"category":33,"check":151,"severity":115,"summary":152},"Dry-run preview","图像编辑过程生成输出文件，而不是执行破坏性操作，因此不需要预览。",{"category":154,"check":155,"severity":24,"summary":156},"Protocol","Idempotent retry & timeouts","图像生成过程预计是无状态的，并且具有由云GPU提供商或底层库处理的合理超时。",{"category":118,"check":158,"severity":24,"summary":159},"Telemetry opt-in","文档未提及任何遥测收集，这意味着它不存在或严格遵循选择加入且未记录。",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","该技能的目的明确定义为Qwen-Image-Edit的AI图像编辑模式，具有清晰的用例和边界。",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","SKILL.md中的前言简洁明了，有效地总结了核心功能并提供了触发短语。",{"category":44,"check":167,"severity":24,"summary":168},"Concise Body","SKILL.md相对简洁，更深层的内容如示例和参数细节委托给单独的文件。",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","更深层的内容，如示例、参数和提示指南，都提供在主SKILL.md中链接的单独Markdown文件中。",{"category":170,"check":174,"severity":115,"summary":175},"Forked exploration","此技能不是需要分叉上下文的探索或审计类技能；它执行特定的图像编辑任务。",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","`examples.md`文件提供了具体的、可直接使用的示例，展示了各种图像编辑场景及其结果。",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","`examples.md`和`parameters.md`文件记录了各种图像编辑场景的失败模式、限制和恢复步骤。",{"category":110,"check":183,"severity":115,"summary":184},"Tool Fallback","该技能使用标准的Python库和云GPU执行；不需要具有未记录版本的外部MCP服务器。",{"category":186,"check":187,"severity":24,"summary":188},"Safety","Halt on unexpected state","脚本在遇到意外状态（如无效输入或执行失败）时，应会停止并报告错误。",{"category":91,"check":190,"severity":24,"summary":191},"Cross-skill coupling","该技能是独立的，不隐式依赖于其他技能；它独立执行其图像编辑功能。",1778686435032,"该技能提供使用Qwen-Image-Edit的AI图像编辑功能，可通过Python CLI工具访问。它支持各种转换，如身份保留、重新构图、风格转换和角色转换，并提供有关提示、参数和示例的详细文档。",[195,196,197,198,199],"Qwen-Image-Edit的AI图像编辑","身份保留和角色转换","重新构图裁剪的图像","风格转换和背景替换指南","详细的提示模式和参数调整",[201,202,203],"使用单图像方法进行背景替换（易产生伪影）","换脸（无法可靠地保留身份）","图像外绘制（无法可靠地扩展画布）","3.0.0","4.4.0","使用Qwen-Image-Edit使用户能够执行高级AI驱动的照片编辑任务，提供特定的提示模式和参数调整，以获得可预测的高质量结果。","所有检查均已通过“pass”或“not_applicable”的严重性级别。该技能文档齐全，具有明确的用例，提供示例，并能有效处理参数和错误。",100,"一个高质量的AI图像编辑技能，使用Qwen-Image-Edit，提供详细的提示模式和示例。",[211,212,213,214,215],"image-editing","ai","qwen","prompting","python","verified",[218,219,220,221],"编辑照片时保留身份","重新构图裁剪的图像（修复被切掉的头部）","更换主体上的服装或配饰","调整姿势和应用风格转换",{"codeQuality":223,"collectedAt":225,"documentation":226,"maintenance":229,"security":235,"testCoverage":238},{"hasLockfile":224},true,1778686417227,{"descriptionLength":227,"readmeSize":228},298,18886,{"closedIssues90d":230,"forks":231,"hasChangelog":224,"openIssues90d":232,"pushedAt":233,"stars":234},4,187,1,1778501732000,1137,{"hasNpmPackage":236,"license":237,"smitheryVerified":236},false,"MIT",{"hasCi":224,"hasTests":236},{"updatedAt":240},1778686613108,{"basePath":242,"githubOwner":243,"githubRepo":244,"locale":18,"slug":13,"type":245},".claude/skills/qwen-edit","digitalsamba","claude-code-video-toolkit","skill",null,{"evaluate":248,"extract":251},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":249,"targetMarket":250,"tier":216},[211,212,213,214,215],"global",{"commitSha":252},"HEAD",{"repoId":254,"translatedFrom":255},"kd70r97eght58pp9f1x8scdagd86n32q","k175r6z7jxdyenwqxp499wmqzh86mmrj",{"_creationTime":257,"_id":254,"identity":258,"providers":259,"workflow":389},1778686211924.9185,{"githubOwner":243,"githubRepo":244,"sourceUrl":14},{"classify":260,"discover":372,"github":375},{"commitSha":252,"extensions":261},[262,274,285,294,302,310,318,327,339,348,356,364],{"basePath":263,"description":264,"displayName":265,"installMethods":266,"rationale":267,"selectedPaths":268,"source":272,"sourceLanguage":273,"type":245},".claude/skills/acestep","AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction, audio repainting, and continuation for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, repaint, continuation, or musical composition tasks.","acestep",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/acestep/SKILL.md",[269],{"path":270,"priority":271},"SKILL.md","mandatory","rule","en",{"basePath":275,"description":276,"displayName":277,"installMethods":278,"rationale":279,"selectedPaths":280,"source":272,"sourceLanguage":273,"type":245},".claude/skills/elevenlabs","Generate AI voiceovers, sound effects, and music using ElevenLabs APIs. Use when creating audio content for videos, podcasts, or games. Triggers include generating voiceovers, narration, dialogue, sound effects from descriptions, background music, soundtrack generation, voice cloning, or any audio synthesis task.","elevenlabs",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/elevenlabs/SKILL.md",[281,282],{"path":270,"priority":271},{"path":283,"priority":284},"reference.md","medium",{"basePath":286,"description":287,"displayName":288,"installMethods":289,"rationale":290,"selectedPaths":291,"source":272,"sourceLanguage":273,"type":245},".claude/skills/ffmpeg","Video and audio processing with FFmpeg. Use for format conversion, resizing, compression, audio extraction, and preparing assets for Remotion. Triggers include converting GIF to MP4, resizing video, extracting audio, compressing files, or any media transformation task.","ffmpeg",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/ffmpeg/SKILL.md",[292,293],{"path":270,"priority":271},{"path":283,"priority":284},{"basePath":295,"description":296,"displayName":297,"installMethods":298,"rationale":299,"selectedPaths":300,"source":272,"sourceLanguage":273,"type":245},".claude/skills/frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.","frontend-design",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/frontend-design/SKILL.md",[301],{"path":270,"priority":271},{"basePath":303,"description":304,"displayName":305,"installMethods":306,"rationale":307,"selectedPaths":308,"source":272,"sourceLanguage":273,"type":245},".claude/skills/ltx2","AI video generation with LTX-2.3 22B — text-to-video, image-to-video clips for video production. Use when generating video clips, animating images, creating b-roll, animated backgrounds, or motion content. Triggers include video generation, animate image, b-roll, motion, video clip, text-to-video, image-to-video.","ltx2",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/ltx2/SKILL.md",[309],{"path":270,"priority":271},{"basePath":311,"description":312,"displayName":313,"installMethods":314,"rationale":315,"selectedPaths":316,"source":272,"sourceLanguage":273,"type":245},".claude/skills/moviepy","Python video composition with moviepy 2.x — overlaying deterministic text on AI-generated video (LTX-2, SadTalker), compositing clips, single-file build.py video projects. Use when adding labels/captions/lower-thirds to LTX-2 or SadTalker outputs, building short ad-style spots in pure Python without Remotion, or doing programmatic video composition. Triggers include text overlay on video, label LTX-2 clip, caption SadTalker output, lower third, build.py video, moviepy, Python video composition, sub-30s ad spot.","moviepy",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/moviepy/SKILL.md",[317],{"path":270,"priority":271},{"basePath":319,"description":320,"displayName":321,"installMethods":322,"rationale":323,"selectedPaths":324,"source":272,"sourceLanguage":273,"type":245},".claude/skills/playwright-recording","Record browser interactions as video using Playwright. Use for capturing demo videos, app walkthroughs, and UI flows for Remotion videos. Triggers include recording a demo, capturing browser video, screen recording a website, or creating walkthrough footage.","playwright-recording",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/playwright-recording/SKILL.md",[325,326],{"path":270,"priority":271},{"path":283,"priority":284},{"basePath":242,"description":328,"displayName":13,"installMethods":329,"rationale":330,"selectedPaths":331,"source":272,"sourceLanguage":273,"type":245},"AI image editing prompting patterns for Qwen-Image-Edit. Use when editing photos while preserving identity, reframing cropped images, changing clothing or accessories, adjusting poses, applying style transfers, or character transformations. Provides prompt patterns, parameter tuning, and examples.",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/qwen-edit/SKILL.md",[332,333,335,337],{"path":270,"priority":271},{"path":334,"priority":284},"examples.md",{"path":336,"priority":284},"parameters.md",{"path":338,"priority":284},"prompting.md",{"basePath":340,"description":341,"displayName":342,"installMethods":343,"rationale":344,"selectedPaths":345,"source":272,"sourceLanguage":273,"type":245},".claude/skills/remotion","Toolkit-specific Remotion patterns — custom transitions, shared components, and project conventions. For core Remotion framework knowledge (hooks, animations, rendering, etc.), see the `remotion-official` skill.","remotion",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/remotion/SKILL.md",[346,347],{"path":270,"priority":271},{"path":283,"priority":284},{"basePath":349,"description":350,"displayName":351,"installMethods":352,"rationale":353,"selectedPaths":354,"source":272,"sourceLanguage":273,"type":245},".claude/skills/remotion-official","Best practices for Remotion - Video creation in React","remotion-best-practices",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/remotion-official/SKILL.md",[355],{"path":270,"priority":271},{"basePath":357,"description":358,"displayName":359,"installMethods":360,"rationale":361,"selectedPaths":362,"source":272,"sourceLanguage":273,"type":245},".claude/skills/runpod","Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).","runpod",{"claudeCode":12},"SKILL.md frontmatter at .claude/skills/runpod/SKILL.md",[363],{"path":270,"priority":271},{"basePath":365,"description":366,"displayName":367,"installMethods":368,"rationale":369,"selectedPaths":370,"source":272,"sourceLanguage":273,"type":245},"skills/openclaw-video-toolkit","Create professional videos autonomously using claude-code-video-toolkit — AI voiceovers, image generation, music, talking heads, and Remotion rendering.","openclaw-video-toolkit",{"claudeCode":12},"SKILL.md frontmatter at skills/openclaw-video-toolkit/SKILL.md",[371],{"path":270,"priority":271},{"sources":373},[374],"manual",{"closedIssues90d":230,"description":376,"forks":231,"license":237,"openIssues90d":232,"pushedAt":233,"readmeSize":228,"stars":234,"topics":377},"AI-native video production toolkit for Claude Code",[378,379,380,277,381,382,342,383,384,385,386,387,388],"ai-video-generator","claude-code","developer-tools","playwright","programmatic-video","text-to-speech","video-editing","video-production","open-source","qwen-tts","openclaw",{"classifiedAt":390,"discoverAt":391,"extractAt":392,"githubAt":392,"updatedAt":390},1778686219532,1778686211925,1778686217771,[212,211,214,215,213],{"evaluatedAt":395,"extractAt":396,"updatedAt":240},1778686435222,1778686219732,[],[399,430,458,482,512,541],{"_creationTime":400,"_id":401,"community":402,"display":403,"identity":409,"providers":414,"relations":423,"tags":426,"workflow":427},1778696691708.3274,"k170az7r02e9e2v47mpy80kx6n86nff3",{"reviewCount":8},{"description":404,"installMethods":405,"name":407,"sourceUrl":408},"Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy",{"claudeCode":406},"ruvnet/ruflo","Trader Regime","https://github.com/ruvnet/ruflo",{"basePath":410,"githubOwner":411,"githubRepo":412,"locale":273,"slug":413,"type":245},"plugins/ruflo-neural-trader/skills/trader-regime","ruvnet","ruflo","trader-regime",{"evaluate":415,"extract":422},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":416,"targetMarket":250,"tier":216},[417,418,419,212,420,421],"finance","trading","market-analysis","typescript","cli",{"commitSha":252,"license":237},{"parentExtensionId":424,"repoId":425},"k17drge8h1fgzchr0p4jaeg33n86mwmy","kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[212,421,417,419,418,420],{"evaluatedAt":428,"extractAt":429,"updatedAt":428},1778701108877,1778696691708,{"_creationTime":431,"_id":432,"community":433,"display":434,"identity":440,"providers":444,"relations":449,"tags":453,"workflow":454},1778693819389.531,"k174n8dznk7k8dr9drb7fwx01586nm5t",{"reviewCount":8},{"description":435,"installMethods":436,"name":438,"sourceUrl":439},"AI交易记忆的领域知识 — 结果加权记忆 (OWM) 架构、5种记忆类型、回忆评分和行为分析。用于记录交易、回忆相似的上下文、分析性能或检查行为漂移。在 \"record trade\"、\"remember trade\"、\"recall\"、\"similar trades\"、\"performance\"、\"behavioral\"、\"disposition\"、\"affective state\"、\"confidence\" 时触发。",{"claudeCode":437},"mnemox-ai/tradememory-protocol","trading-memory","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":441,"githubOwner":442,"githubRepo":443,"locale":18,"slug":438,"type":245},"tradememory-plugin/skills/trading-memory","mnemox-ai","tradememory-protocol",{"evaluate":445,"extract":448},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":446,"targetMarket":250,"tier":216},[418,212,447,417,215],"memory",{"commitSha":252},{"parentExtensionId":450,"repoId":451,"translatedFrom":452},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy","k173a67a16bpq0e29wjd85v71986nx03",[212,417,447,215,418],{"evaluatedAt":455,"extractAt":456,"updatedAt":457},1778693719816,1778693539593,1778693819389,{"_creationTime":459,"_id":460,"community":461,"display":462,"identity":466,"providers":469,"relations":476,"tags":478,"workflow":479},1778693805112.8403,"k177f7s31ysk6nw1qw3sak1r3186n795",{"reviewCount":8},{"description":463,"installMethods":464,"name":465,"sourceUrl":439},"Evolution Engine 的领域知识 — 支持 LLM 从原始 OHLCV 数据中自主发现策略。涵盖生成-回测-选择-进化循环、向量化回测、样本外验证和策略梯度。在发现交易模式、运行回测、进化策略或审查进化日志时使用。由“evolve”、“discover patterns”、“backtest”、“evolution”、“strategy generation”、“candidate strategy”触发。",{"claudeCode":437},"TradeMemory Protocol",{"basePath":467,"githubOwner":442,"githubRepo":443,"locale":18,"slug":468,"type":245},"tradememory-plugin/skills/evolution-engine","evolution-engine",{"evaluate":470,"extract":475},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":471,"targetMarket":250,"tier":216},[418,212,447,472,473,474],"audit","compliance","llm",{"commitSha":252,"license":237},{"parentExtensionId":450,"repoId":451,"translatedFrom":477},"k171p5pgbfbm5g4k5sa3y4cj9s86m6hk",[212,472,473,474,447,418],{"evaluatedAt":480,"extractAt":456,"updatedAt":481},1778693678813,1778693805112,{"_creationTime":483,"_id":484,"community":485,"display":486,"identity":492,"providers":497,"relations":505,"tags":508,"workflow":509},1778691104676.0042,"k17c25w174y6873nhdh566etts86mv7m",{"reviewCount":8},{"description":487,"installMethods":488,"name":490,"sourceUrl":491},"Transform images with resize, crop, smart crop, upscale, remove background, and 20+ operations.",{"claudeCode":489},"iterationlayer/skills","Image Transformation API","https://github.com/iterationlayer/skills",{"basePath":493,"githubOwner":494,"githubRepo":495,"locale":273,"slug":496,"type":245},"skills/image-transformation-api","iterationlayer","skills","image-transformation-api",{"evaluate":498,"extract":504},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":499,"targetMarket":250,"tier":216},[500,501,502,503,212],"image","transformation","editing","api",{"commitSha":252,"license":237},{"parentExtensionId":506,"repoId":507},"k1721s0xmp59902ybtpakrrffn86n10s","kd76p4g2qmtrkgx99cnab3683d86n4g8",[212,503,502,500,501],{"evaluatedAt":510,"extractAt":511,"updatedAt":510},1778693613399,1778691104676,{"_creationTime":513,"_id":514,"community":515,"display":516,"identity":522,"providers":526,"relations":534,"tags":537,"workflow":538},1778693180473.0972,"k1716aj3p8agwq6vwvn5n19v8n86mps9",{"reviewCount":8},{"description":517,"installMethods":518,"name":520,"sourceUrl":521},"Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: \"Document Intelligence\", \"DocumentIntelligenceClient\", \"form recognizer\", \"invoice extraction\", \"receipt OCR\", \"document analysis .NET\".\n",{"claudeCode":519},"microsoft/agent-skills","azure-ai-document-intelligence-dotnet","https://github.com/microsoft/agent-skills",{"basePath":523,"githubOwner":524,"githubRepo":525,"locale":273,"slug":520,"type":245},".github/plugins/azure-sdk-dotnet/skills/azure-ai-document-intelligence-dotnet","microsoft","agent-skills",{"evaluate":527,"extract":533},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":528,"targetMarket":250,"tier":216},[529,212,530,531,532],"azure","document-intelligence","dotnet","sdk",{"commitSha":252},{"parentExtensionId":535,"repoId":536},"k1795g6t3v2fg9whacs7xkm88186nxr1","kd77czgnv00rfjm815pcc5xx5986n5t8",[212,529,530,531,532],{"evaluatedAt":539,"extractAt":540,"updatedAt":539},1778693591440,1778693180473,{"_creationTime":542,"_id":543,"community":544,"display":545,"identity":549,"providers":552,"relations":562,"tags":564,"workflow":565},1778696691708.3308,"k17d3c35ws96bb55ry97apwm5n86mqp2",{"reviewCount":8},{"description":546,"installMethods":547,"name":548,"sourceUrl":408},"Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval",{"claudeCode":406},"Chat Format",{"basePath":550,"githubOwner":411,"githubRepo":412,"locale":273,"slug":551,"type":245},"plugins/ruflo-ruvllm/skills/chat-format","chat-format",{"evaluate":553,"extract":561},{"promptVersionExtension":204,"promptVersionScoring":205,"score":208,"tags":554,"targetMarket":250,"tier":216},[474,214,555,556,557,558,559,560],"rag","context-retrieval","openai","anthropic","gemini","ollama",{"commitSha":252,"license":237},{"parentExtensionId":563,"repoId":425},"k17ekc0sj70ms9kgkkgr2ypr4s86mz40",[558,556,559,474,560,557,214,555],{"evaluatedAt":566,"extractAt":429,"updatedAt":566},1778701390930]