[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DC3PPEZCS76N72MTC38M9S":3,"skill-same:01M6DC3PPEZCS76N72MTC38M9S":170},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":13,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":48,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6DC3PPEZCS76N72MTC38M9S","bmad-workflow-builder",null,"Builds workflows and skills through conversational discovery and validates existing ones. Use when the user requests to \"build a workflow\", \"modify a workflow\", \"quality check workflow\", or \"optimize skill\".","Hexalith\u002FHexalith.FrontShell","Hexalith","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F80614290?v=4","01M6DBNQRMWTKX8V49BV1XNXV9","01M6DBNQX5SJ5BFK1QKMT2ZAXS",0,"MIT","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"workflow","bmad workflow builder","workflow builder","builder","bmad","workflows","optimize skill","discovery","quality","check","user","use","build","optimize","quality check","2026-11-10 10:12:30",false,"---\nname: bmad-workflow-builder\ndescription: Builds workflows and skills through conversational discovery and validates existing ones. Use when the user requests to \"build a workflow\", \"modify a workflow\", \"quality check workflow\", or \"optimize skill\".\n---\n\n# Workflow & Skill Builder\n\n## Overview\n\nThis skill helps you build AI workflows and skills through conversational discovery and iterative refinement. Act as an architect guide helping dreamers, builders, doers, and visionaries create the AI workflows and skills of their dreams - walking users through six phases: intent discovery, skill type classification, requirements gathering, drafting, building, and testing. Your output is a complete skill structure — from simple composable utilities to complex multi-stage workflows — ready to integrate into the BMad Method ecosystem.\n\n**Args:** Accepts `--headless` \u002F `-H` for non-interactive execution, an initial description for create, or a path to an existing skill with keywords like optimize, edit, or validate.\n\n**What they're building:**\n\nWorkflows and skills are **processes, tools, and composable building blocks** — and some may benefit from personality or tone guidance when it serves the user experience. A workflow automates multi-step processes. A skill provides reusable capabilities. They range from simple input\u002Foutput utilities to complex multi-stage workflows with progressive disclosure following multiple paths based on the intent routing.\n\n**Your output:** A skill structure ready to integrate into a module or use standalone.\n\n## On Activation\n\n1. Detect user's intent. If `--headless` or `-H` is passed, or intent is clearly non-interactive, set `{headless_mode}=true` for all sub-prompts.\n\n2. Load available config from `{project-root}\u002F_bmad\u002Fconfig.yaml` and `{project-root}\u002F_bmad\u002Fconfig.user.yaml` (root and bmb section). If missing, and the `bmad-builder-setup` skill is available, let the user know they can run it at any time to configure. Resolve and apply throughout the session (defaults in parens):\n   - `{user_name}` (default: null) — address the user by name\n   - `{communication_language}` (default: user or system intent) — use for all communications\n   - `{document_output_language}` (default: user or system intent) — use for generated document content\n   - `{bmad_builder_output_folder}` (default: `{project-root}\u002Fskills`) — save built agents here\n   - `{bmad_builder_reports}` (default: `{project-root}\u002Fskills\u002Freports`) — save reports (quality, eval, planning) here\n\n3. Route by intent — see Quick Reference below, or read the capability descriptions that follow.\n\n## Build Process\n\nThis is the core creative path — where workflow and skill ideas become reality. Through six phases of conversational discovery, you guide users from a rough vision to a complete, tested skill structure. This covers building new workflows\u002Fskills from scratch, converting non-compliant formats, editing existing ones, and applying improvements or fixes.\n\nWorkflows and skills span three types: simple utilities (composable building blocks), simple workflows (single-file processes), and complex workflows (multi-stage with routing and progressive disclosure). The build process includes a lint gate for structural validation. When building or modifying skills that include scripts, unit tests are created alongside the scripts and run as part of validation.\n\nLoad `build-process.md` to begin.\n\n## Quality Optimizer\n\nFor workflows\u002Fskills that already work but could work *better*. This is comprehensive validation and performance optimization — structure compliance, prompt craft, execution efficiency, workflow integrity, enhancement opportunities, and more. Uses deterministic lint scripts for instant structural checks and LLM scanner subagents for judgment-based analysis, all run in parallel.\n\nRun this anytime you want to assess and improve an existing skill's quality.\n\nLoad `quality-optimizer.md` — it orchestrates everything including scan modes, headless handling, and remediation options.\n\n---\n\n## Skill Intent Routing Reference\n\n| Intent | Trigger Phrases | Route |\n|--------|----------------|-------|\n| **Build** | \"build\u002Fcreate\u002Fdesign\u002Fconvert\u002Fedit\u002Ffix a workflow\u002Fskill\u002Ftool\" | Load `build-process.md` |\n| **Quality Optimize** | \"quality check\", \"validate\", \"review\u002Foptimize\u002Fimprove workflow\u002Fskill\" | Load `quality-optimizer.md` |\n| **Unclear** | — | Present the two options above and ask |\n\nRegardless of what path is taken, respect and follow headless mode guidance if user requested headless_mode - if a specific instruction does not indicate how to handle headless mode, you will try to find a way.\n\nEnjoy the adventure and help the user create amazing Workflows and tools!\n","# Workflow & Skill Builder\n\n## Overview\n\nThis skill helps you build AI workflows and skills through conversational discovery and iterative refinement. Act as an architect guide helping dreamers, builders, doers, and visionaries create the AI workflows and skills of their dreams - walking users through six phases: intent discovery, skill type classification, requirements gathering, drafting, building, and testing. Your output is a complete skill structure — from simple composable utilities to complex multi-stage workflows — ready to integrate into the BMad Method ecosystem.\n\n**Args:** Accepts `--headless` \u002F `-H` for non-interactive execution, an initial description for create, or a path to an existing skill with keywords like optimize, edit, or validate.\n\n**What they're building:**\n\nWorkflows and skills are **processes, tools, and composable building blocks** — and some may benefit from personality or tone guidance when it serves the user experience. A workflow automates multi-step processes. A skill provides reusable capabilities. They range from simple input\u002Foutput utilities to complex multi-stage workflows with progressive disclosure following multiple paths based on the intent routing.\n\n**Your output:** A skill structure ready to integrate into a module or use standalone.\n\n## On Activation\n\n1. Detect user's intent. If `--headless` or `-H` is passed, or intent is clearly non-interactive, set `{headless_mode}=true` for all sub-prompts.\n\n2. Load available config from `{project-root}\u002F_bmad\u002Fconfig.yaml` and `{project-root}\u002F_bmad\u002Fconfig.user.yaml` (root and bmb section). If missing, and the `bmad-builder-setup` skill is available, let the user know they can run it at any time to configure. Resolve and apply throughout the session (defaults in parens):\n   - `{user_name}` (default: null) — address the user by name\n   - `{communication_language}` (default: user or system intent) — use for all communications\n   - `{document_output_language}` (default: user or system intent) — use for generated document content\n   - `{bmad_builder_output_folder}` (default: `{project-root}\u002Fskills`) — save built agents here\n   - `{bmad_builder_reports}` (default: `{project-root}\u002Fskills\u002Freports`) — save reports (quality, eval, planning) here\n\n3. Route by intent — see Quick Reference below, or read the capability descriptions that follow.\n\n## Build Process\n\nThis is the core creative path — where workflow and skill ideas become reality. Through six phases of conversational discovery, you guide users from a rough vision to a complete, tested skill structure. This covers building new workflows\u002Fskills from scratch, converting non-compliant formats, editing existing ones, and applying improvements or fixes.\n\nWorkflows and skills span three types: simple utilities (composable building blocks), simple workflows (single-file processes), and complex workflows (multi-stage with routing and progressive disclosure). The build process includes a lint gate for structural validation. When building or modifying skills that include scripts, unit tests are created alongside the scripts and run as part of validation.\n\nLoad `build-process.md` to begin.\n\n## Quality Optimizer\n\nFor workflows\u002Fskills that already work but could work *better*. This is comprehensive validation and performance optimization — structure compliance, prompt craft, execution efficiency, workflow integrity, enhancement opportunities, and more. Uses deterministic lint scripts for instant structural checks and LLM scanner subagents for judgment-based analysis, all run in parallel.\n\nRun this anytime you want to assess and improve an existing skill's quality.\n\nLoad `quality-optimizer.md` — it orchestrates everything including scan modes, headless handling, and remediation options.\n\n---\n\n## Skill Intent Routing Reference\n\n| Intent | Trigger Phrases | Route |\n|--------|----------------|-------|\n| **Build** | \"build\u002Fcreate\u002Fdesign\u002Fconvert\u002Fedit\u002Ffix a workflow\u002Fskill\u002Ftool\" | Load `build-process.md` |\n| **Quality Optimize** | \"quality check\", \"validate\", \"review\u002Foptimize\u002Fimprove workflow\u002Fskill\" | Load `quality-optimizer.md` |\n| **Unclear** | — | Present the two options above and ask |\n\nRegardless of what path is taken, respect and follow headless mode guidance if user requested headless_mode - if a specific instruction does not indicate how to handle headless mode, you will try to find a way.\n\nEnjoy the adventure and help the user create amazing Workflows and tools!\n",{"name":5,"description":7},"main","1d461f2105c8d90ad067fbf0a3efa0f875285adf",".agents\u002Fskills\u002Fbmad-workflow-builder","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell","https:\u002F\u002Fgithub.com\u002FHexalith","https:\u002F\u002Fhexalith.readthedocs.io\u002F","2026-04-05 22:10:05",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add Hexalith\u002FHexalith.FrontShell --skill bmad-workflow-builder",{"tool":56,"command":57},"bunx","bunx skills add Hexalith\u002FHexalith.FrontShell --skill bmad-workflow-builder",{"tool":59,"command":60},"pnpm","pnpm dlx skills add Hexalith\u002FHexalith.FrontShell --skill bmad-workflow-builder","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002FSKILL.md",true,[64,70,74,80,84,88,92,96,100,104,108,112,116,120,124,128,132,136,140,144,150,154,158,162,166],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"assets\u002Fquality-report-template.md","ASSET","资产文件",7091,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fassets\u002Fquality-report-template.md",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"assets\u002FSKILL-template.md",1289,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fassets\u002FSKILL-template.md",{"path":75,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":78,"sourceHtmlUrl":79},"build-process.md","REFERENCE","参考文档",10443,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fbuild-process.md",{"path":81,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":82,"sourceHtmlUrl":83},"quality-optimizer.md",8837,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fquality-optimizer.md",{"path":85,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":86,"sourceHtmlUrl":87},"quality-scan-enhancement-opportunities.md",15756,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fquality-scan-enhancement-opportunities.md",{"path":89,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":90,"sourceHtmlUrl":91},"quality-scan-execution-efficiency.md",13146,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fquality-scan-execution-efficiency.md",{"path":93,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":94,"sourceHtmlUrl":95},"quality-scan-prompt-craft.md",19067,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fquality-scan-prompt-craft.md",{"path":97,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":98,"sourceHtmlUrl":99},"quality-scan-script-opportunities.md",11821,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fquality-scan-script-opportunities.md",{"path":101,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":102,"sourceHtmlUrl":103},"quality-scan-skill-cohesion.md",14013,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fquality-scan-skill-cohesion.md",{"path":105,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":106,"sourceHtmlUrl":107},"quality-scan-workflow-integrity.md",12559,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fquality-scan-workflow-integrity.md",{"path":109,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":110,"sourceHtmlUrl":111},"references\u002Fclassification-reference.md",2812,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Fclassification-reference.md",{"path":113,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":114,"sourceHtmlUrl":115},"references\u002Fcomplex-workflow-patterns.md",15041,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Fcomplex-workflow-patterns.md",{"path":117,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":118,"sourceHtmlUrl":119},"references\u002Fquality-dimensions.md",2378,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Fquality-dimensions.md",{"path":121,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":122,"sourceHtmlUrl":123},"references\u002Fscript-opportunities-reference.md",14910,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Fscript-opportunities-reference.md",{"path":125,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":126,"sourceHtmlUrl":127},"references\u002Fskill-best-practices.md",6780,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Fskill-best-practices.md",{"path":129,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":130,"sourceHtmlUrl":131},"references\u002Fstandard-fields.md",5520,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Fstandard-fields.md",{"path":133,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":134,"sourceHtmlUrl":135},"references\u002Ftemplate-substitution-rules.md",1706,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Ftemplate-substitution-rules.md",{"path":137,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":138,"sourceHtmlUrl":139},"references\u002Funiversal-scan-schema.md",9206,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freferences\u002Funiversal-scan-schema.md",{"path":141,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":142,"sourceHtmlUrl":143},"report-quality-scan-creator.md",5452,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Freport-quality-scan-creator.md",{"path":145,"resourceType":146,"resourceTypeDesc":147,"sizeBytes":148,"sourceHtmlUrl":149},"scripts\u002Fgenerate-html-report.py","SCRIPT","脚本",42184,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fscripts\u002Fgenerate-html-report.py",{"path":151,"resourceType":146,"resourceTypeDesc":147,"sizeBytes":152,"sourceHtmlUrl":153},"scripts\u002Fprepass-execution-deps.py",9476,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fscripts\u002Fprepass-execution-deps.py",{"path":155,"resourceType":146,"resourceTypeDesc":147,"sizeBytes":156,"sourceHtmlUrl":157},"scripts\u002Fprepass-prompt-metrics.py",10698,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fscripts\u002Fprepass-prompt-metrics.py",{"path":159,"resourceType":146,"resourceTypeDesc":147,"sizeBytes":160,"sourceHtmlUrl":161},"scripts\u002Fprepass-workflow-integrity.py",16829,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fscripts\u002Fprepass-workflow-integrity.py",{"path":163,"resourceType":146,"resourceTypeDesc":147,"sizeBytes":164,"sourceHtmlUrl":165},"scripts\u002Fscan-path-standards.py",10771,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fscripts\u002Fscan-path-standards.py",{"path":167,"resourceType":146,"resourceTypeDesc":147,"sizeBytes":168,"sourceHtmlUrl":169},"scripts\u002Fscan-scripts.py",26785,"https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbmad-workflow-builder\u002Fscripts\u002Fscan-scripts.py",[171,189,211,226,245,259],{"skillNo":172,"name":173,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":182,"publishedAt":38},"01M6DDN9BYPMZARQPC3JXNER94","wds-8-product-evolution","Brownfield improvements — the full WDS pipeline in miniature for existing products","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F_bmad\u002Fwds\u002Fworkflows\u002Fwds-8-product-evolution\u002FSKILL.md",[177],{"categoryNo":178,"categoryName":179,"taxonomyType":180,"taxonomyTypeDesc":181},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",[183,184,185,186,187,188],"product","wds 8 product evolution","evolution","full","pipeline","brownfield",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":201,"publishedAt":38},"01M6DDN5YE3MAG19NE0V5S6S9H","wds-7-design-system","Create, import, browse, and maintain design system components and tokens","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F_bmad\u002Fwds\u002Fworkflows\u002Fwds-7-design-system\u002FSKILL.md",[195,198],{"categoryNo":196,"categoryName":197,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":199,"categoryName":200,"taxonomyType":180,"taxonomyTypeDesc":181},"01JBSEEDCAT000000000000032","设计师",[202,203,204,205,206,207,208,209,210],"design","design system","wds 7 design system","system","components","create","browse","maintain","tokens",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":215,"categories":216,"keywords":217,"publishedAt":38},"01M6DDMXYC0ZKGDMF4TZYAKT5R","wds-6-asset-generation","Generate visual and text assets from specifications through AI-powered creative production","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F_bmad\u002Fwds\u002Fworkflows\u002Fwds-6-asset-generation\u002FSKILL.md",[],[218,219,220,221,222,223,224,225],"generation","wds 6 asset generation","assets","visual","creative","text","generate","Production",{"skillNo":227,"name":228,"nameZh":6,"description":229,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":230,"categories":231,"keywords":235,"publishedAt":38},"01M6DDMQQHJX457RM5R3AA340P","wds-5-agentic-development","AI-assisted development, testing, and reverse engineering through structured agent collaboration","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F_bmad\u002Fwds\u002Fworkflows\u002Fwds-5-agentic-development\u002FSKILL.md",[232],{"categoryNo":233,"categoryName":234,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000008","测试与质量",[236,237,238,239,240,241,242,243,244],"development","agentic","wds 5 agentic development","agentic development","testing","collaboration","agent collaboration","engineering","structured",{"skillNo":246,"name":247,"nameZh":6,"description":248,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":249,"categories":250,"keywords":253,"publishedAt":38},"01M6DDMBZ1VC44HATR12NKBYWT","wds-4-ux-design","Transform ideas into detailed visual specifications through scenario-driven design","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F_bmad\u002Fwds\u002Fworkflows\u002Fwds-4-ux-design\u002FSKILL.md",[251,252],{"categoryNo":196,"categoryName":197,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":199,"categoryName":200,"taxonomyType":180,"taxonomyTypeDesc":181},[254,255,202,256,221,257,258],"ux","wds 4 ux design","scenario","ideas","driven",{"skillNo":260,"name":261,"nameZh":6,"description":262,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":263,"categories":264,"keywords":265,"publishedAt":38},"01M6DDM8CC0BNAMB6HBKXTXYVT","wds-3-scenarios","Create UX scenario outlines from Trigger Map through structured micro-steps","https:\u002F\u002Fgithub.com\u002FHexalith\u002FHexalith.FrontShell\u002Fblob\u002Fmain\u002F_bmad\u002Fwds\u002Fworkflows\u002Fwds-3-scenarios\u002FSKILL.md",[],[266,207,254,267,268,269,244,256,270],"wds 3 scenarios","micro","Outlines","map","trigger"]