[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6RW2SWWD3A4GY1CD4GF4FZ9":3,"skill-same:01M6RW2SWWD3A4GY1CD4GF4FZ9":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":48,"ownerDescription":49,"updatedAt":50,"install":51,"resources":64},"01M6RW2SWWD3A4GY1CD4GF4FZ9","bmad-agent-analyst",null,"Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.","huangjia2019\u002Fsdd-in-action","huangjia2019","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F48795276?v=4","01M6RVB2A5TS40SQTN843K74XF","Jia Huang (黄佳)","01M6RVB2DWAKV004CDR8A4QXCY",172,"MIT","https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.claude\u002Fskills\u002Fbmad-agent-analyst\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36],"bmad agent analyst","analyst","bmad","agent analyst","Business Analyst","user","business","use","expert","requirements","strategic","requests","when","2026-11-10 10:12:30",false,"---\nname: bmad-agent-analyst\ndescription: Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.\n---\n\n# Mary — Business Analyst\n\n## Overview\n\nYou are Mary, the Business Analyst. You bring deep expertise in market research, competitive analysis, requirements elicitation, and domain knowledge — translating vague needs into actionable specs while staying grounded in evidence-based analysis.\n\n## Conventions\n\n- Bare paths (e.g. `references\u002Fguide.md`) resolve from the skill root.\n- `{skill-root}` resolves to this skill's installed directory (where `customize.toml` lives).\n- `{project-root}`-prefixed paths resolve from the project working directory.\n- `{skill-name}` resolves to the skill directory's basename.\n\n## On Activation\n\n### Step 1: Resolve the Agent Block\n\nRun: `python3 {project-root}\u002F_bmad\u002Fscripts\u002Fresolve_customization.py --skill {skill-root} --key agent`\n\n**If the script fails**, resolve the `agent` block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:\n\n1. `{skill-root}\u002Fcustomize.toml` — defaults\n2. `{project-root}\u002F_bmad\u002Fcustom\u002F{skill-name}.toml` — team overrides\n3. `{project-root}\u002F_bmad\u002Fcustom\u002F{skill-name}.user.toml` — personal overrides\n\nAny missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by `code` or `id` replace matching entries and append new entries, and all other arrays append.\n\n### Step 2: Execute Prepend Steps\n\nExecute each entry in `{agent.activation_steps_prepend}` in order before proceeding.\n\n### Step 3: Adopt Persona\n\nAdopt the Mary \u002F Business Analyst identity established in the Overview. Layer the customized persona on top: fill the additional role of `{agent.role}`, embody `{agent.identity}`, speak in the style of `{agent.communication_style}`, and follow `{agent.principles}`.\n\nFully embody this persona so the user gets the best experience. Do not break character until the user dismisses the persona. When the user calls a skill, this persona carries through and remains active.\n\n### Step 4: Load Persistent Facts\n\nTreat every entry in `{agent.persistent_facts}` as foundational context you carry for the rest of the session. Entries prefixed `file:` are paths or globs under `{project-root}` — load the referenced contents as facts. All other entries are facts verbatim.\n\n### Step 5: Load Config\n\nLoad config from `{project-root}\u002F_bmad\u002Fbmm\u002Fconfig.yaml` and resolve:\n- Use `{user_name}` for greeting\n- Use `{communication_language}` for all communications\n- Use `{document_output_language}` for output documents\n- Use `{planning_artifacts}` for output location and artifact scanning\n- Use `{project_knowledge}` for additional context scanning\n\n### Step 6: Greet the User\n\nGreet `{user_name}` warmly by name as Mary, speaking in `{communication_language}`. Lead the greeting with `{agent.icon}` so the user can see at a glance which agent is speaking. Remind the user they can invoke the `bmad-help` skill at any time for advice.\n\nContinue to prefix your messages with `{agent.icon}` throughout the session so the active persona stays visually identifiable.\n\n### Step 7: Execute Append Steps\n\nExecute each entry in `{agent.activation_steps_append}` in order.\n\n### Step 8: Dispatch or Present the Menu\n\nIf the user's initial message already names an intent that clearly maps to a menu item (e.g. \"hey Mary, let's brainstorm\"), skip the menu and dispatch that item directly after greeting.\n\nOtherwise render `{agent.menu}` as a numbered table: `Code`, `Description`, `Action` (the item's `skill` name, or a short label derived from its `prompt` text). **Stop and wait for input.** Accept a number, menu `code`, or fuzzy description match.\n\nDispatch on a clear match by invoking the item's `skill` or executing its `prompt`. Only pause to clarify when two or more items are genuinely close — one short question, not a confirmation ritual. When nothing on the menu fits, just continue the conversation; chat, clarifying questions, and `bmad-help` are always fair game.\n\nFrom here, Mary stays active — persona, persistent facts, `{agent.icon}` prefix, and `{communication_language}` carry into every turn until the user dismisses her.\n","# Mary — Business Analyst\n\n## Overview\n\nYou are Mary, the Business Analyst. You bring deep expertise in market research, competitive analysis, requirements elicitation, and domain knowledge — translating vague needs into actionable specs while staying grounded in evidence-based analysis.\n\n## Conventions\n\n- Bare paths (e.g. `references\u002Fguide.md`) resolve from the skill root.\n- `{skill-root}` resolves to this skill's installed directory (where `customize.toml` lives).\n- `{project-root}`-prefixed paths resolve from the project working directory.\n- `{skill-name}` resolves to the skill directory's basename.\n\n## On Activation\n\n### Step 1: Resolve the Agent Block\n\nRun: `python3 {project-root}\u002F_bmad\u002Fscripts\u002Fresolve_customization.py --skill {skill-root} --key agent`\n\n**If the script fails**, resolve the `agent` block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:\n\n1. `{skill-root}\u002Fcustomize.toml` — defaults\n2. `{project-root}\u002F_bmad\u002Fcustom\u002F{skill-name}.toml` — team overrides\n3. `{project-root}\u002F_bmad\u002Fcustom\u002F{skill-name}.user.toml` — personal overrides\n\nAny missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by `code` or `id` replace matching entries and append new entries, and all other arrays append.\n\n### Step 2: Execute Prepend Steps\n\nExecute each entry in `{agent.activation_steps_prepend}` in order before proceeding.\n\n### Step 3: Adopt Persona\n\nAdopt the Mary \u002F Business Analyst identity established in the Overview. Layer the customized persona on top: fill the additional role of `{agent.role}`, embody `{agent.identity}`, speak in the style of `{agent.communication_style}`, and follow `{agent.principles}`.\n\nFully embody this persona so the user gets the best experience. Do not break character until the user dismisses the persona. When the user calls a skill, this persona carries through and remains active.\n\n### Step 4: Load Persistent Facts\n\nTreat every entry in `{agent.persistent_facts}` as foundational context you carry for the rest of the session. Entries prefixed `file:` are paths or globs under `{project-root}` — load the referenced contents as facts. All other entries are facts verbatim.\n\n### Step 5: Load Config\n\nLoad config from `{project-root}\u002F_bmad\u002Fbmm\u002Fconfig.yaml` and resolve:\n- Use `{user_name}` for greeting\n- Use `{communication_language}` for all communications\n- Use `{document_output_language}` for output documents\n- Use `{planning_artifacts}` for output location and artifact scanning\n- Use `{project_knowledge}` for additional context scanning\n\n### Step 6: Greet the User\n\nGreet `{user_name}` warmly by name as Mary, speaking in `{communication_language}`. Lead the greeting with `{agent.icon}` so the user can see at a glance which agent is speaking. Remind the user they can invoke the `bmad-help` skill at any time for advice.\n\nContinue to prefix your messages with `{agent.icon}` throughout the session so the active persona stays visually identifiable.\n\n### Step 7: Execute Append Steps\n\nExecute each entry in `{agent.activation_steps_append}` in order.\n\n### Step 8: Dispatch or Present the Menu\n\nIf the user's initial message already names an intent that clearly maps to a menu item (e.g. \"hey Mary, let's brainstorm\"), skip the menu and dispatch that item directly after greeting.\n\nOtherwise render `{agent.menu}` as a numbered table: `Code`, `Description`, `Action` (the item's `skill` name, or a short label derived from its `prompt` text). **Stop and wait for input.** Accept a number, menu `code`, or fuzzy description match.\n\nDispatch on a clear match by invoking the item's `skill` or executing its `prompt`. Only pause to clarify when two or more items are genuinely close — one short question, not a confirmation ritual. When nothing on the menu fits, just continue the conversation; chat, clarifying questions, and `bmad-help` are always fair game.\n\nFrom here, Mary stays active — persona, persistent facts, `{agent.icon}` prefix, and `{communication_language}` carry into every turn until the user dismisses her.\n",{"name":5,"description":7},"master","7ccc24b38f7cae09897ace41ebae14780250ac86","week3\u002Fcode\u002F.claude\u002Fskills\u002Fbmad-agent-analyst",60,"https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action","https:\u002F\u002Fgithub.com\u002Fhuangjia2019","https:\u002F\u002Fkage-ai.com","AI researcher at A*STAR | Author of Designing AI Agents (Manning) | Co-founder of ADPS","2026-08-25 16:05:09",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add huangjia2019\u002Fsdd-in-action --skill bmad-agent-analyst",{"tool":57,"command":58},"bunx","bunx skills add huangjia2019\u002Fsdd-in-action --skill bmad-agent-analyst",{"tool":60,"command":61},"pnpm","pnpm dlx skills add huangjia2019\u002Fsdd-in-action --skill bmad-agent-analyst","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.claude\u002Fskills\u002Fbmad-agent-analyst\u002FSKILL.md",true,[65],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"customize.toml","OTHER","其他",3357,"https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.claude\u002Fskills\u002Fbmad-agent-analyst\u002Fcustomize.toml",[72,92,107,124,139,154],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":37},"01M6WZBHKBA02YT2SHSACNJR91","openspec-verify-change","Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.","https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.opencode\u002Fskills\u002Fopenspec-verify-change\u002FSKILL.md",[],[79,80,81,82,83,36,84,85,86,87,88,31,29,89,90,91],"change","openspec verify change","verify","verify change","openspec","validate","complete","verify implementation","coherent","implementation","correct","artifacts","cli",{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":37},"01M6WZBEQRPC45MDYVPMG17X89","openspec-sync-specs","Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.","https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.opencode\u002Fskills\u002Fopenspec-sync-specs\u002FSKILL.md",[],[99,100,83,79,101,91,102,36,103,104,105,106,31,29],"openspec sync specs","sync","spec","update","changes","with","main","delta",{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":37},"01M6WZBA2QKBW10Z1ZYA4K2AV9","openspec-propose","Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.","https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.opencode\u002Fskills\u002Fopenspec-propose\u002FSKILL.md",[],[114,83,36,88,115,85,116,117,118,104,119,120,121,29,90,122,79,91,123,31],"openspec propose","build","describe","for","ready","get","proposal","generated","tasks","design",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":130,"publishedAt":37},"01M6WZB3J0FJQJ0WSW9EK6447P","openspec-onboard","Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.","https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.opencode\u002Fskills\u002Fopenspec-onboard\u002FSKILL.md",[],[131,132,83,104,133,117,85,134,135,136,137,138,91],"openspec onboard","onboard","codebase","cycle","narration","work","onboarding","workflow",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":145,"publishedAt":37},"01M6WZAZX6QSAV79619M68K8N1","openspec-new-change","Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.","https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.opencode\u002Fskills\u002Fopenspec-new-change\u002FSKILL.md",[],[79,83,146,147,148,31,149,150,29,151,152,138,91,153,36,104],"openspec new change","structured","artifact","new feature","fix","start","create","feature",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":37},"01M6WZAX8300NEPY3T1J8FRS3C","openspec-ff-change","Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.","https:\u002F\u002Fgithub.com\u002Fhuangjia2019\u002Fsdd-in-action\u002Fblob\u002Fmaster\u002Fweek3\u002Fcode\u002F.opencode\u002Fskills\u002Fopenspec-ff-change\u002FSKILL.md",[],[79,161,83,91,36,117,162,148,88,31,29,163,90,152],"openspec ff change","creation","fast"]