[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CFYXGVR5A3QMJMR462AKM8":3,"skill-same:01M6CFYXGVR5A3QMJMR462AKM8":69},{"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":31,"linkOnly":32,"markdownContent":33,"markdownBody":34,"frontMatter":35,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":42,"repositoryHtmlUrl":43,"repositoryHomepageUrl":44,"ownerHtmlUrl":45,"ownerBlogUrl":46,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6CFYXGVR5A3QMJMR462AKM8","sample-skill",null,"Utility for working with files","spboyer\u002Fsensei","spboyer","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F7681382?v=4","01M6CFYAEW2827181XXSYD95QD","Shayne Boyer","01M6CFYAJQK7N5X1TZEB8DCCQM",60,"MIT","https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei\u002Fblob\u002Fmain\u002Fdemo-docs\u002Fsample-skill\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],"sample skill","sample","files","utility","with","for","with files","2026-11-10 10:12:30",false,"---\nname: market-research\ndescription: Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.\norigin: ECC\n---\n\n# Market Research\n\nProduce research that supports decisions, not research theater.\n\n## When to Activate\n\n- researching a market, category, company, investor, or technology trend\n- building TAM\u002FSAM\u002FSOM estimates\n- comparing competitors or adjacent products\n- preparing investor dossiers before outreach\n- pressure-testing a thesis before building, funding, or entering a market\n\n## Research Standards\n\n1. Every important claim needs a source.\n2. Prefer recent data and call out stale data.\n3. Include contrarian evidence and downside cases.\n4. Translate findings into a decision, not just a summary.\n5. Separate fact, inference, and recommendation clearly.\n\n## Common Research Modes\n\n### Investor \u002F Fund Diligence\nCollect:\n- fund size, stage, and typical check size\n- relevant portfolio companies\n- public thesis and recent activity\n- reasons the fund is or is not a fit\n- any obvious red flags or mismatches\n\n### Competitive Analysis\nCollect:\n- product reality, not marketing copy\n- funding and investor history if public\n- traction metrics if public\n- distribution and pricing clues\n- strengths, weaknesses, and positioning gaps\n\n### Market Sizing\nUse:\n- top-down estimates from reports or public datasets\n- bottom-up sanity checks from realistic customer acquisition assumptions\n- explicit assumptions for every leap in logic\n\n### Technology \u002F Vendor Research\nCollect:\n- how it works\n- trade-offs and adoption signals\n- integration complexity\n- lock-in, security, compliance, and operational risk\n\n## Output Format\n\nDefault structure:\n1. executive summary\n2. key findings\n3. implications\n4. risks and caveats\n5. recommendation\n6. sources\n\n## Quality Gate\n\nBefore delivering:\n- all numbers are sourced or labeled as estimates\n- old data is flagged\n- the recommendation follows from the evidence\n- risks and counterarguments are included\n- the output makes a decision easier\n","# Market Research\n\nProduce research that supports decisions, not research theater.\n\n## When to Activate\n\n- researching a market, category, company, investor, or technology trend\n- building TAM\u002FSAM\u002FSOM estimates\n- comparing competitors or adjacent products\n- preparing investor dossiers before outreach\n- pressure-testing a thesis before building, funding, or entering a market\n\n## Research Standards\n\n1. Every important claim needs a source.\n2. Prefer recent data and call out stale data.\n3. Include contrarian evidence and downside cases.\n4. Translate findings into a decision, not just a summary.\n5. Separate fact, inference, and recommendation clearly.\n\n## Common Research Modes\n\n### Investor \u002F Fund Diligence\nCollect:\n- fund size, stage, and typical check size\n- relevant portfolio companies\n- public thesis and recent activity\n- reasons the fund is or is not a fit\n- any obvious red flags or mismatches\n\n### Competitive Analysis\nCollect:\n- product reality, not marketing copy\n- funding and investor history if public\n- traction metrics if public\n- distribution and pricing clues\n- strengths, weaknesses, and positioning gaps\n\n### Market Sizing\nUse:\n- top-down estimates from reports or public datasets\n- bottom-up sanity checks from realistic customer acquisition assumptions\n- explicit assumptions for every leap in logic\n\n### Technology \u002F Vendor Research\nCollect:\n- how it works\n- trade-offs and adoption signals\n- integration complexity\n- lock-in, security, compliance, and operational risk\n\n## Output Format\n\nDefault structure:\n1. executive summary\n2. key findings\n3. implications\n4. risks and caveats\n5. recommendation\n6. sources\n\n## Quality Gate\n\nBefore delivering:\n- all numbers are sourced or labeled as estimates\n- old data is flagged\n- the recommendation follows from the evidence\n- risks and counterarguments are included\n- the output makes a decision easier\n",{"name":36,"origin":37,"description":38},"market-research","ECC","Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.","master","9f95519d9ca52dd8ed67129aca89b2a6051002f9","demo-docs\u002Fsample-skill",8,"https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei","https:\u002F\u002Fspboyer.github.io\u002Fsensei\u002F","https:\u002F\u002Fgithub.com\u002Fspboyer","http:\u002F\u002Fwww.tattoocoder.com","Member of Technical Staff","2026-11-09 00:17:36",{"source":8,"skillName":36,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add spboyer\u002Fsensei --skill market-research",{"tool":55,"command":56},"bunx","bunx skills add spboyer\u002Fsensei --skill market-research",{"tool":58,"command":59},"pnpm","pnpm dlx skills add spboyer\u002Fsensei --skill market-research","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei\u002Fblob\u002Fmain\u002Fdemo-docs\u002Fsample-skill\u002FSKILL.md",true,[63],{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"SKILL-after.md","REFERENCE","参考文档",832,"https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei\u002Fblob\u002Fmain\u002Fdemo-docs\u002Fsample-skill\u002FSKILL-after.md",[70,102,119],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":74,"sourceHtmlUrl":75,"categories":76,"keywords":81,"publishedAt":31},"01M6CFYJN9FX0GHAH3J13VTNPW","sensei","**WORKFLOW SKILL** - Iteratively improve skill frontmatter and routing clarity. WHEN: \"run sensei\", \"sensei help\", \"improve skill\", \"fix frontmatter\", \"score skill\", \"check skill tokens\". INVOKES: token CLI, test runners, git. FOR SINGLE OPERATIONS: use the token CLI directly.","https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei\u002Fblob\u002Fmain\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei\u002Fblob\u002Fmain\u002FSKILL.md",[77,80],{"categoryNo":78,"categoryName":79,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[72,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,29,97,98,99,100,101],"check","when","run","routing","help","git","runners","improve skill","improve","clarity","single","fix","operations","use","token","tokens","workflow skill","test","cli","workflow",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":31},"01M6CFYG8RJ13PCRS48E9TV5AB","squad-conventions","Core conventions and patterns used in the Squad codebase","https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei\u002Fblob\u002Fmain\u002F.ai-team-templates\u002Fskills\u002Fsquad-conventions\u002FSKILL.md",[],[109,110,111,112,113,114,115,116,117,118],"squad conventions","conventions","squad","codebase","core","project-conventions","patterns","project","manual","high",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":127,"publishedAt":31},"01M6CFYCDPWRYGEA59HS85FZ5C","{skill-name}","{what this skill teaches agents}","https:\u002F\u002Fgithub.com\u002Fspboyer\u002Fsensei\u002Fblob\u002Fmain\u002F.ai-team-templates\u002Fskill.md",[125,126],{"categoryNo":78,"categoryName":79,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[128,129,130,131,132,133,134,135,136,137,117,118,138],"name","{skill name}","skill name","design","api","how","error-handling","learned","error","api-design","testing"]