[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CHB0NT1C6X408KT94AC01E":3,"skill-same:01M6CHB0NT1C6X408KT94AC01E":97},{"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":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":62,"repositoryHtmlUrl":63,"repositoryHomepageUrl":6,"ownerHtmlUrl":64,"ownerBlogUrl":65,"ownerDescription":66,"updatedAt":67,"install":68,"resources":81},"01M6CHB0NT1C6X408KT94AC01E","apollo-core-workflow-a",null,"Implement Apollo.io lead search and enrichment workflow.\nUse when building lead generation features, searching for contacts,\nor enriching prospect data from Apollo.\nTrigger with phrases like \"apollo lead search\", \"search apollo contacts\",\n\"find leads in apollo\", \"apollo people search\", \"enrich contacts apollo\".","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1992,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fapollo-pack\u002Fskills\u002Fapollo-core-workflow-a\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"workflow","core","apollo core workflow a","apollo","lead","implement","when","features","leads","contacts","enrich","people","prospect","lead generation","io","use","edit","write","read","find","grep","Bash","enrichment","data","search","npm","2026-11-10 10:12:30",false,"---\nname: apollo-core-workflow-a\ndescription: |\n  Implement Apollo.io lead search and enrichment workflow.\n  Use when building lead generation features, searching for contacts,\n  or enriching prospect data from Apollo.\n  Trigger with phrases like \"apollo lead search\", \"search apollo contacts\",\n  \"find leads in apollo\", \"apollo people search\", \"enrich contacts apollo\".\nallowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# Apollo Core Workflow A: Lead Search & Enrichment\n\n## Overview\nImplement the primary Apollo.io workflow for searching leads and enriching contact\u002Fcompany data. This is the core use case for B2B sales intelligence.\n\n## Prerequisites\n- Completed `apollo-sdk-patterns` setup\n- Valid Apollo API credentials\n- Understanding of your target market criteria\n\n## Workflow Components\n\n### 1. People Search\nSearch for contacts based on various criteria like company, title, location, and industry.\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Fpeople-search.ts\nimport { apollo } from '..\u002F..\u002Flib\u002Fapollo\u002Fclient';\n\ninterface PeopleSearchCriteria {\n  domains?: string[];\n  titles?: string[];\n  locations?: string[];\n  industries?: string[];\n  employeeRanges?: string[];\n  page?: number;\n  perPage?: number;\n}\n\nexport async function searchPeople(criteria: PeopleSearchCriteria) {\n  const response = await apollo.searchPeople({\n    q_organization_domains: criteria.domains,\n    person_titles: criteria.titles,\n    person_locations: criteria.locations,\n    q_organization_industry_tag_ids: criteria.industries,\n    organization_num_employees_ranges: criteria.employeeRanges,\n    page: criteria.page || 1,\n    per_page: criteria.perPage || 25,\n  });\n\n  return {\n    contacts: response.people.map(transformPerson),\n    pagination: response.pagination,\n  };\n}\n\nfunction transformPerson(person: any) {\n  return {\n    id: person.id,\n    name: person.name,\n    firstName: person.first_name,\n    lastName: person.last_name,\n    title: person.title,\n    email: person.email,\n    phone: person.phone_numbers?.[0]?.sanitized_number,\n    linkedin: person.linkedin_url,\n    company: {\n      id: person.organization?.id,\n      name: person.organization?.name,\n      domain: person.organization?.primary_domain,\n    },\n  };\n}\n```\n\n### 2. Company Enrichment\nEnrich company data to get comprehensive firmographic information.\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Fcompany-enrichment.ts\nimport { apollo } from '..\u002F..\u002Flib\u002Fapollo\u002Fclient';\n\nexport async function enrichCompany(domain: string) {\n  const response = await apollo.enrichOrganization(domain);\n  const org = response.organization;\n\n  return {\n    id: org.id,\n    name: org.name,\n    domain: org.primary_domain,\n    website: org.website_url,\n    industry: org.industry,\n    subIndustry: org.sub_industry,\n    employeeCount: org.estimated_num_employees,\n    annualRevenue: org.annual_revenue,\n    founded: org.founded_year,\n    description: org.short_description,\n    technologies: org.technologies || [],\n    locations: {\n      headquarters: {\n        city: org.city,\n        state: org.state,\n        country: org.country,\n      },\n    },\n    social: {\n      linkedin: org.linkedin_url,\n      twitter: org.twitter_url,\n      facebook: org.facebook_url,\n    },\n  };\n}\n```\n\n### 3. Contact Enrichment\nEnrich individual contacts with email and additional data.\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Fcontact-enrichment.ts\nexport async function enrichContact(params: {\n  email?: string;\n  firstName?: string;\n  lastName?: string;\n  domain?: string;\n  linkedinUrl?: string;\n}) {\n  const response = await apollo.enrichPerson({\n    email: params.email,\n    first_name: params.firstName,\n    last_name: params.lastName,\n    organization_domain: params.domain,\n    linkedin_url: params.linkedinUrl,\n  });\n\n  return {\n    ...transformPerson(response.person),\n    enrichmentScore: calculateEnrichmentScore(response.person),\n  };\n}\n\nfunction calculateEnrichmentScore(person: any): number {\n  let score = 0;\n  if (person.email) score += 30;\n  if (person.phone_numbers?.length) score += 20;\n  if (person.linkedin_url) score += 15;\n  if (person.title) score += 10;\n  if (person.organization) score += 15;\n  if (person.city) score += 10;\n  return score;\n}\n```\n\n### 4. Complete Lead Generation Pipeline\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Flead-pipeline.ts\nimport { searchPeople } from '.\u002Fpeople-search';\nimport { enrichCompany } from '.\u002Fcompany-enrichment';\nimport { enrichContact } from '.\u002Fcontact-enrichment';\n\ninterface LeadCriteria {\n  targetDomains?: string[];\n  targetTitles: string[];\n  targetLocations?: string[];\n  targetIndustries?: string[];\n  minEmployees?: number;\n  maxEmployees?: number;\n}\n\nexport async function generateLeads(criteria: LeadCriteria) {\n  \u002F\u002F Step 1: Search for matching contacts\n  const searchResults = await searchPeople({\n    domains: criteria.targetDomains,\n    titles: criteria.targetTitles,\n    locations: criteria.targetLocations,\n    industries: criteria.targetIndustries,\n  });\n\n  \u002F\u002F Step 2: Enrich companies for each unique domain\n  const uniqueDomains = [...new Set(\n    searchResults.contacts\n      .map(c => c.company.domain)\n      .filter(Boolean)\n  )];\n\n  const enrichedCompanies = await Promise.all(\n    uniqueDomains.slice(0, 10).map(async (domain) => {\n      try {\n        return await enrichCompany(domain);\n      } catch {\n        return null;\n      }\n    })\n  );\n\n  const companyMap = new Map(\n    enrichedCompanies\n      .filter(Boolean)\n      .map(c => [c!.domain, c])\n  );\n\n  \u002F\u002F Step 3: Combine and filter results\n  return searchResults.contacts.map(contact => ({\n    ...contact,\n    company: companyMap.get(contact.company.domain) || contact.company,\n  }));\n}\n```\n\n## Usage Example\n\n```typescript\n\u002F\u002F Example: Find engineering leads at fintech companies\nconst leads = await generateLeads({\n  targetTitles: ['VP Engineering', 'CTO', 'Engineering Manager'],\n  targetIndustries: ['financial services', 'fintech'],\n  minEmployees: 50,\n  maxEmployees: 500,\n});\n\nconsole.log(`Found ${leads.length} leads`);\nleads.forEach(lead => {\n  console.log(`${lead.name} - ${lead.title} at ${lead.company.name}`);\n});\n```\n\n## Output\n- Paginated people search results\n- Enriched company firmographic data\n- Enriched contact data with emails\n- Combined lead pipeline with scoring\n\n## Error Handling\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Empty Results | Too narrow criteria | Broaden search parameters |\n| Missing Emails | Contact not in database | Try LinkedIn enrichment |\n| Rate Limited | Too many enrichment calls | Implement batching |\n| Invalid Domain | Domain doesn't exist | Validate domains first |\n\n## Resources\n- [Apollo People Search Docs](https:\u002F\u002Fapolloio.github.io\u002Fapollo-api-docs\u002F#search-for-people)\n- [Apollo Organization Enrichment](https:\u002F\u002Fapolloio.github.io\u002Fapollo-api-docs\u002F#enrich-organization)\n- [Apollo Person Enrichment](https:\u002F\u002Fapolloio.github.io\u002Fapollo-api-docs\u002F#enrich-person)\n\n## Next Steps\nProceed to `apollo-core-workflow-b` for email sequences and outreach.\n","# Apollo Core Workflow A: Lead Search & Enrichment\n\n## Overview\nImplement the primary Apollo.io workflow for searching leads and enriching contact\u002Fcompany data. This is the core use case for B2B sales intelligence.\n\n## Prerequisites\n- Completed `apollo-sdk-patterns` setup\n- Valid Apollo API credentials\n- Understanding of your target market criteria\n\n## Workflow Components\n\n### 1. People Search\nSearch for contacts based on various criteria like company, title, location, and industry.\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Fpeople-search.ts\nimport { apollo } from '..\u002F..\u002Flib\u002Fapollo\u002Fclient';\n\ninterface PeopleSearchCriteria {\n  domains?: string[];\n  titles?: string[];\n  locations?: string[];\n  industries?: string[];\n  employeeRanges?: string[];\n  page?: number;\n  perPage?: number;\n}\n\nexport async function searchPeople(criteria: PeopleSearchCriteria) {\n  const response = await apollo.searchPeople({\n    q_organization_domains: criteria.domains,\n    person_titles: criteria.titles,\n    person_locations: criteria.locations,\n    q_organization_industry_tag_ids: criteria.industries,\n    organization_num_employees_ranges: criteria.employeeRanges,\n    page: criteria.page || 1,\n    per_page: criteria.perPage || 25,\n  });\n\n  return {\n    contacts: response.people.map(transformPerson),\n    pagination: response.pagination,\n  };\n}\n\nfunction transformPerson(person: any) {\n  return {\n    id: person.id,\n    name: person.name,\n    firstName: person.first_name,\n    lastName: person.last_name,\n    title: person.title,\n    email: person.email,\n    phone: person.phone_numbers?.[0]?.sanitized_number,\n    linkedin: person.linkedin_url,\n    company: {\n      id: person.organization?.id,\n      name: person.organization?.name,\n      domain: person.organization?.primary_domain,\n    },\n  };\n}\n```\n\n### 2. Company Enrichment\nEnrich company data to get comprehensive firmographic information.\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Fcompany-enrichment.ts\nimport { apollo } from '..\u002F..\u002Flib\u002Fapollo\u002Fclient';\n\nexport async function enrichCompany(domain: string) {\n  const response = await apollo.enrichOrganization(domain);\n  const org = response.organization;\n\n  return {\n    id: org.id,\n    name: org.name,\n    domain: org.primary_domain,\n    website: org.website_url,\n    industry: org.industry,\n    subIndustry: org.sub_industry,\n    employeeCount: org.estimated_num_employees,\n    annualRevenue: org.annual_revenue,\n    founded: org.founded_year,\n    description: org.short_description,\n    technologies: org.technologies || [],\n    locations: {\n      headquarters: {\n        city: org.city,\n        state: org.state,\n        country: org.country,\n      },\n    },\n    social: {\n      linkedin: org.linkedin_url,\n      twitter: org.twitter_url,\n      facebook: org.facebook_url,\n    },\n  };\n}\n```\n\n### 3. Contact Enrichment\nEnrich individual contacts with email and additional data.\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Fcontact-enrichment.ts\nexport async function enrichContact(params: {\n  email?: string;\n  firstName?: string;\n  lastName?: string;\n  domain?: string;\n  linkedinUrl?: string;\n}) {\n  const response = await apollo.enrichPerson({\n    email: params.email,\n    first_name: params.firstName,\n    last_name: params.lastName,\n    organization_domain: params.domain,\n    linkedin_url: params.linkedinUrl,\n  });\n\n  return {\n    ...transformPerson(response.person),\n    enrichmentScore: calculateEnrichmentScore(response.person),\n  };\n}\n\nfunction calculateEnrichmentScore(person: any): number {\n  let score = 0;\n  if (person.email) score += 30;\n  if (person.phone_numbers?.length) score += 20;\n  if (person.linkedin_url) score += 15;\n  if (person.title) score += 10;\n  if (person.organization) score += 15;\n  if (person.city) score += 10;\n  return score;\n}\n```\n\n### 4. Complete Lead Generation Pipeline\n\n```typescript\n\u002F\u002F src\u002Fservices\u002Fapollo\u002Flead-pipeline.ts\nimport { searchPeople } from '.\u002Fpeople-search';\nimport { enrichCompany } from '.\u002Fcompany-enrichment';\nimport { enrichContact } from '.\u002Fcontact-enrichment';\n\ninterface LeadCriteria {\n  targetDomains?: string[];\n  targetTitles: string[];\n  targetLocations?: string[];\n  targetIndustries?: string[];\n  minEmployees?: number;\n  maxEmployees?: number;\n}\n\nexport async function generateLeads(criteria: LeadCriteria) {\n  \u002F\u002F Step 1: Search for matching contacts\n  const searchResults = await searchPeople({\n    domains: criteria.targetDomains,\n    titles: criteria.targetTitles,\n    locations: criteria.targetLocations,\n    industries: criteria.targetIndustries,\n  });\n\n  \u002F\u002F Step 2: Enrich companies for each unique domain\n  const uniqueDomains = [...new Set(\n    searchResults.contacts\n      .map(c => c.company.domain)\n      .filter(Boolean)\n  )];\n\n  const enrichedCompanies = await Promise.all(\n    uniqueDomains.slice(0, 10).map(async (domain) => {\n      try {\n        return await enrichCompany(domain);\n      } catch {\n        return null;\n      }\n    })\n  );\n\n  const companyMap = new Map(\n    enrichedCompanies\n      .filter(Boolean)\n      .map(c => [c!.domain, c])\n  );\n\n  \u002F\u002F Step 3: Combine and filter results\n  return searchResults.contacts.map(contact => ({\n    ...contact,\n    company: companyMap.get(contact.company.domain) || contact.company,\n  }));\n}\n```\n\n## Usage Example\n\n```typescript\n\u002F\u002F Example: Find engineering leads at fintech companies\nconst leads = await generateLeads({\n  targetTitles: ['VP Engineering', 'CTO', 'Engineering Manager'],\n  targetIndustries: ['financial services', 'fintech'],\n  minEmployees: 50,\n  maxEmployees: 500,\n});\n\nconsole.log(`Found ${leads.length} leads`);\nleads.forEach(lead => {\n  console.log(`${lead.name} - ${lead.title} at ${lead.company.name}`);\n});\n```\n\n## Output\n- Paginated people search results\n- Enriched company firmographic data\n- Enriched contact data with emails\n- Combined lead pipeline with scoring\n\n## Error Handling\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Empty Results | Too narrow criteria | Broaden search parameters |\n| Missing Emails | Contact not in database | Try LinkedIn enrichment |\n| Rate Limited | Too many enrichment calls | Implement batching |\n| Invalid Domain | Domain doesn't exist | Validate domains first |\n\n## Resources\n- [Apollo People Search Docs](https:\u002F\u002Fapolloio.github.io\u002Fapollo-api-docs\u002F#search-for-people)\n- [Apollo Organization Enrichment](https:\u002F\u002Fapolloio.github.io\u002Fapollo-api-docs\u002F#enrich-organization)\n- [Apollo Person Enrichment](https:\u002F\u002Fapolloio.github.io\u002Fapollo-api-docs\u002F#enrich-person)\n\n## Next Steps\nProceed to `apollo-core-workflow-b` for email sequences and outreach.\n",{"name":5,"author":55,"license":15,"version":56,"description":57,"allowed-tools":58},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Implement Apollo.io lead search and enrichment workflow.\nUse when building lead generation features, searching for contacts,\nor enriching prospect data from Apollo.\nTrigger with phrases like \"apollo lead search\", \"search apollo contacts\",\n\"find leads in apollo\", \"apollo people search\", \"enrich contacts apollo\".\n","Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep","main","7439377908fdee98c9bb5863391212b95453de95","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fapollo-pack\u002Fskills\u002Fapollo-core-workflow-a",233,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-15 01:54:15",{"source":8,"skillName":5,"commands":69,"prompt":79,"zipAvailable":80},[70,73,76],{"tool":71,"command":72},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill apollo-core-workflow-a",{"tool":74,"command":75},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill apollo-core-workflow-a",{"tool":77,"command":78},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill apollo-core-workflow-a","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fapollo-pack\u002Fskills\u002Fapollo-core-workflow-a\u002FSKILL.md",true,[82,87,93],{"path":83,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"LICENSE","许可证",1071,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-pool-cleaning-offer-service-mapper\u002FLICENSE",{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":92},"SOURCE.md","REFERENCE","参考文档",498,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-pool-cleaning-offer-service-mapper\u002FSOURCE.md",{"path":94,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":95,"sourceHtmlUrl":96},"TRUST.auto.yaml",2217,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-salesportl-pool-cleaning-offer-service-mapper\u002FTRUST.auto.yaml",[98,136,161,186,211,233],{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":102,"licenseFileUrl":103,"sourceHtmlUrl":104,"categories":105,"keywords":109,"publishedAt":50},"01M6FEGPPK0ZTKCCM0R3E3KS33","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). 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Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[143,146],{"categoryNo":144,"categoryName":145,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":107,"categoryName":108,"taxonomyType":21,"taxonomyTypeDesc":22},[148,149,150,115,151,152,111,153,154,155,125,156,157,158,159,160,133],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local","with",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":165,"sourceHtmlUrl":166,"categories":167,"keywords":168,"publishedAt":50},"01M6FE20F7ZTQBFWKF4MPJ2SBX","neuropixels-analysis","Neuropixels neural recording analysis. Load SpikeGLX\u002FOpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen\u002FIBL curation, AI-assisted visual analysis, for Neuropixels 1.0\u002F2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FSKILL.md",[],[169,170,171,172,47,173,174,175,39,176,177,178,179,180,181,182,160,183,184,185,133,30],"analysis","neuropixels analysis","spike","metrics","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":102,"licenseFileUrl":190,"sourceHtmlUrl":191,"categories":192,"keywords":194,"publishedAt":50},"01M6FDP0PDK6F1GGX395C7625Z","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[193],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[195,196,197,198,199,200,201,202,203,204,205,206,207,208,160,133,209,30,210],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":215,"sourceHtmlUrl":216,"categories":217,"keywords":219,"publishedAt":50},"01M6FDM8Y7VK7NYG9SM7QPA3PW","notebooklm","Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FSKILL.md",[218],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[213,220,221,222,223,224,225,155,226,227,39,228,229,230,231,133,232],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":234,"name":235,"nameZh":6,"description":236,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":102,"licenseFileUrl":237,"sourceHtmlUrl":238,"categories":239,"keywords":246,"publishedAt":50},"01M6FDHPXE10J3XGTCH5HBHS1M","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[240,243],{"categoryNo":241,"categoryName":242,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":244,"categoryName":245,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",[247,248,249,196,250,126,251,252,201,39,253,208,254,255,256,133,257,30],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]