[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KFGP0GTJDZR3W5HZ3P9W6D":3,"skill-same:01M6KFGP0GTJDZR3W5HZ3P9W6D":72},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":27,"publishedAt":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":55,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M6KFGP0GTJDZR3W5HZ3P9W6D","run2_enterprise-data-retrieval",null,"Comprehensive guide for retrieving structured information from enterprise JSON data files containing Slack messages, documents, meetings, and metadata.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",93,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-opus-4-6\u002Fenterprise-information-search\u002Frun2_enterprise-data-retrieval\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000005","邮件与沟通","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"run2 enterprise data retrieval","enterprise data retrieval","Enterprise","data","retrieval","guide","slack messages","for","information","structured","files","slack","meetings","json","messages","metadata","documents","2026-11-10 10:12:30",false,"---\nname: run2_enterprise-data-retrieval\ndescription: Comprehensive guide for retrieving structured information from enterprise JSON data files containing Slack messages, documents, meetings, and metadata.\n---\n\n# Enterprise Data Retrieval\n\n## Data Layout\n- `\u002Froot\u002FDATA\u002Fmetadata\u002F` - employee.json (eid -> name, role, location, org), customers_data.json, salesforce_team.json\n- `\u002Froot\u002FDATA\u002Fproducts\u002F\u003CProductName>.json` - per-product data with keys: slack, documents, meeting_transcripts, meeting_chats, urls, prs\n\n## Product JSON Keys\n\n### slack (list)\n```json\n{\n  \"Channel\": {\"name\": \"planning-ProductName\", \"channelID\": \"ch-xxx\"},\n  \"Message\": {\"User\": {\"userId\": \"eid_xxx\", \"timestamp\": \"ISO\", \"text\": \"...\"}, \"Reactions\": []},\n  \"ThreadReplies\": [{\"User\": {...}}],\n  \"id\": \"utteranceID\"\n}\n```\nNote: ThreadReplies are often empty; sequential messages in a channel represent the conversation flow.\n\n### documents (list)\n```json\n{\"content\": \"...\", \"date\": \"ISO\", \"document_link\": \"URL\", \"author\": \"eid_xxx\", \"type\": \"Market Research Report|Product Vision Document|...\", \"id\": \"...\"}\n```\nDocuments typically have draft and final versions. The final version link contains \"final_\" prefix.\n\n### urls (list)\n```json\n{\"link\": \"URL\", \"description\": \"...\", \"id\": \"...\"}\n```\n\n## Retrieval Patterns\n\n### Finding Document Authors + Key Reviewers\n1. Filter `documents` by `type` matching the document name\n2. `author` field gives the document author (employee ID)\n3. Search Slack for messages containing the document link\n4. Find messages between the draft post and final post timestamps\n5. All users who provided feedback (not just \"thanks\") are key reviewers\n6. The author who posted both draft and final is also included\n\n### Finding Competitor Insight Providers\n1. Search all Slack messages for competitor product names\n2. Identify messages where users share specific features, strengths, or weaknesses\n3. \"Insight providers\" = those who shared substantive information (described features, compared, analyzed)\n4. Differentiate from those who just asked questions or said \"thanks\"\n\n### Finding Competitor Demo URLs\n1. Search Slack messages for URL patterns containing competitor names + \"demo\"\n2. Filter out internal product demos (sf-internal URLs)\n3. Only include external competitor product demo URLs\n","# Enterprise Data Retrieval\n\n## Data Layout\n- `\u002Froot\u002FDATA\u002Fmetadata\u002F` - employee.json (eid -> name, role, location, org), customers_data.json, salesforce_team.json\n- `\u002Froot\u002FDATA\u002Fproducts\u002F\u003CProductName>.json` - per-product data with keys: slack, documents, meeting_transcripts, meeting_chats, urls, prs\n\n## Product JSON Keys\n\n### slack (list)\n```json\n{\n  \"Channel\": {\"name\": \"planning-ProductName\", \"channelID\": \"ch-xxx\"},\n  \"Message\": {\"User\": {\"userId\": \"eid_xxx\", \"timestamp\": \"ISO\", \"text\": \"...\"}, \"Reactions\": []},\n  \"ThreadReplies\": [{\"User\": {...}}],\n  \"id\": \"utteranceID\"\n}\n```\nNote: ThreadReplies are often empty; sequential messages in a channel represent the conversation flow.\n\n### documents (list)\n```json\n{\"content\": \"...\", \"date\": \"ISO\", \"document_link\": \"URL\", \"author\": \"eid_xxx\", \"type\": \"Market Research Report|Product Vision Document|...\", \"id\": \"...\"}\n```\nDocuments typically have draft and final versions. The final version link contains \"final_\" prefix.\n\n### urls (list)\n```json\n{\"link\": \"URL\", \"description\": \"...\", \"id\": \"...\"}\n```\n\n## Retrieval Patterns\n\n### Finding Document Authors + Key Reviewers\n1. Filter `documents` by `type` matching the document name\n2. `author` field gives the document author (employee ID)\n3. Search Slack for messages containing the document link\n4. Find messages between the draft post and final post timestamps\n5. All users who provided feedback (not just \"thanks\") are key reviewers\n6. The author who posted both draft and final is also included\n\n### Finding Competitor Insight Providers\n1. Search all Slack messages for competitor product names\n2. Identify messages where users share specific features, strengths, or weaknesses\n3. \"Insight providers\" = those who shared substantive information (described features, compared, analyzed)\n4. Differentiate from those who just asked questions or said \"thanks\"\n\n### Finding Competitor Demo URLs\n1. Search Slack messages for URL patterns containing competitor names + \"demo\"\n2. Filter out internal product demos (sf-internal URLs)\n3. Only include external competitor product demo URLs\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-claude-opus-4-6\u002Fenterprise-information-search\u002Frun2_enterprise-data-retrieval",8,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_enterprise-data-retrieval",{"tool":64,"command":65},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_enterprise-data-retrieval",{"tool":67,"command":68},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_enterprise-data-retrieval","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-opus-4-6\u002Fenterprise-information-search\u002Frun2_enterprise-data-retrieval\u002FSKILL.md",true,[],[73,89,112,130,149,161],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":82,"publishedAt":45},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[79],{"categoryNo":80,"categoryName":81,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[83,84,85,86,87,88],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":98,"publishedAt":45},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[95],{"categoryNo":96,"categoryName":97,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[99,100,101,102,103,104,37,105,106,35,107,108,109,110,111],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":45},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[119,120,121,122,123,124,125,102,126,127,103,128,35,129,100],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":45},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[137,138,139,35,140,141,41,142,143,144,145,146,128,147,148],"glm output","output","glm","tasks","metrics","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":156,"publishedAt":45},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[155],{"categoryNo":96,"categoryName":97,"taxonomyType":20,"taxonomyTypeDesc":21},[157,148,139,138,143,142,140,158,159,35,160],"glm calibration","setup","companion","metric",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":167,"publishedAt":45},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[168,139,142,169,157,148,35,138,170,38,171,172,173,174,140],"glm basics","inspect","relevant","good","use","how","Evaluation"]