[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M718FBXQ0YYG8XAZ5MGTGASF":3,"skill-same:01M718FBXQ0YYG8XAZ5MGTGASF":64},{"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":18,"publishedAt":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":49,"ownerDescription":6,"updatedAt":50,"install":51,"resources":63},"01M718FBXQ0YYG8XAZ5MGTGASF","prospect",null,"Full ICP-to-leads pipeline. Describe your ideal customer in plain English and get a ranked table of enriched decision-maker leads with emails and phone numbers.","anthropics\u002Fknowledge-work-plugins","anthropics","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4","01M697XGDPXJAVQ8391V2BCYTE","Anthropic","01M7188MPC48111TN566QNQE3X",35660,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fpartner-built\u002Fapollo\u002Fskills\u002Fprospect\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"emails","table","full","plain english","plain","describe","customer","with","english","icp","true","phone","decision","pipeline","maker","get","leads","2026-11-10 10:12:30",false,"---\nname: prospect\ndescription: \"Full ICP-to-leads pipeline. Describe your ideal customer in plain English and get a ranked table of enriched decision-maker leads with emails and phone numbers.\"\nuser-invocable: true\nargument-hint: \"[describe your ideal customer]\"\n---\n\n# Prospect\n\nGo from an ICP description to a ranked, enriched lead list in one shot. The user describes their ideal customer via \"$ARGUMENTS\".\n\n## Examples\n\n- `\u002Fapollo:prospect VP of Engineering at Series B+ SaaS companies in the US, 200-1000 employees`\n- `\u002Fapollo:prospect heads of marketing at e-commerce companies in Europe`\n- `\u002Fapollo:prospect CTOs at fintech startups, 50-500 employees, New York`\n- `\u002Fapollo:prospect procurement managers at manufacturing companies with 1000+ employees`\n- `\u002Fapollo:prospect SDR leaders at companies using Salesforce and Outreach`\n\n## Step 1 — Parse the ICP\n\nExtract structured filters from the natural language description in \"$ARGUMENTS\":\n\n**Company filters:**\n- Industry\u002Fvertical keywords → `q_organization_keyword_tags`\n- Employee count ranges → `organization_num_employees_ranges`\n- Company locations → `organization_locations`\n- Specific domains → `q_organization_domains_list`\n\n**Person filters:**\n- Job titles → `person_titles`\n- Seniority levels → `person_seniorities`\n- Person locations → `person_locations`\n\nIf the ICP is vague, ask 1-2 clarifying questions before proceeding. At minimum, you need a title\u002Frole and an industry or company size.\n\n## Step 2 — Search for Companies\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_mixed_companies_search` with the company filters:\n- `q_organization_keyword_tags` for industry\u002Fvertical\n- `organization_num_employees_ranges` for size\n- `organization_locations` for geography\n- Set `per_page` to 25\n\n## Step 3 — Enrich Top Companies\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_organizations_bulk_enrich` with the domains from the top 10 results. This reveals revenue, funding, headcount, and firmographic data to help rank companies.\n\n## Step 4 — Find Decision Makers\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search` with:\n- `person_titles` and `person_seniorities` from the ICP\n- `q_organization_domains_list` scoped to the enriched company domains\n- `per_page` set to 25\n\n## Step 5 — Enrich Top Leads\n\n> **Credit warning**: Tell the user exactly how many credits will be consumed before proceeding.\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_people_bulk_match` to enrich up to 10 leads per call with:\n- `first_name`, `last_name`, `domain` for each person\n- `reveal_personal_emails` set to `true`\n\nIf more than 10 leads, batch into multiple calls.\n\n## Step 6 — Present the Lead Table\n\nShow results in a ranked table:\n\n### Leads matching: [ICP Summary]\n\n| # | Name | Title | Company | Employees | Revenue | Email | Phone | ICP Fit |\n|---|---|---|---|---|---|---|---|---|\n\n**ICP Fit** scoring:\n- **Strong** — title, seniority, company size, and industry all match\n- **Good** — 3 of 4 criteria match\n- **Partial** — 2 of 4 criteria match\n\n**Summary**: Found X leads across Y companies. Z credits consumed.\n\n## Step 7 — Offer Next Actions\n\nAsk the user:\n\n1. **Save all to Apollo** — Bulk-create contacts via `mcp__claude_ai_Apollo_MCP__apollo_contacts_create` with `run_dedupe: true` for each lead\n2. **Load into a sequence** — Ask which sequence and run the sequence-load flow for these contacts\n3. **Deep-dive a company** — Run `\u002Fapollo:company-intel` on any company from the list\n4. **Refine the search** — Adjust filters and re-run\n5. **Export** — Format leads as a CSV-style table for easy copy-paste\n","# Prospect\n\nGo from an ICP description to a ranked, enriched lead list in one shot. The user describes their ideal customer via \"$ARGUMENTS\".\n\n## Examples\n\n- `\u002Fapollo:prospect VP of Engineering at Series B+ SaaS companies in the US, 200-1000 employees`\n- `\u002Fapollo:prospect heads of marketing at e-commerce companies in Europe`\n- `\u002Fapollo:prospect CTOs at fintech startups, 50-500 employees, New York`\n- `\u002Fapollo:prospect procurement managers at manufacturing companies with 1000+ employees`\n- `\u002Fapollo:prospect SDR leaders at companies using Salesforce and Outreach`\n\n## Step 1 — Parse the ICP\n\nExtract structured filters from the natural language description in \"$ARGUMENTS\":\n\n**Company filters:**\n- Industry\u002Fvertical keywords → `q_organization_keyword_tags`\n- Employee count ranges → `organization_num_employees_ranges`\n- Company locations → `organization_locations`\n- Specific domains → `q_organization_domains_list`\n\n**Person filters:**\n- Job titles → `person_titles`\n- Seniority levels → `person_seniorities`\n- Person locations → `person_locations`\n\nIf the ICP is vague, ask 1-2 clarifying questions before proceeding. At minimum, you need a title\u002Frole and an industry or company size.\n\n## Step 2 — Search for Companies\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_mixed_companies_search` with the company filters:\n- `q_organization_keyword_tags` for industry\u002Fvertical\n- `organization_num_employees_ranges` for size\n- `organization_locations` for geography\n- Set `per_page` to 25\n\n## Step 3 — Enrich Top Companies\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_organizations_bulk_enrich` with the domains from the top 10 results. This reveals revenue, funding, headcount, and firmographic data to help rank companies.\n\n## Step 4 — Find Decision Makers\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search` with:\n- `person_titles` and `person_seniorities` from the ICP\n- `q_organization_domains_list` scoped to the enriched company domains\n- `per_page` set to 25\n\n## Step 5 — Enrich Top Leads\n\n> **Credit warning**: Tell the user exactly how many credits will be consumed before proceeding.\n\nUse `mcp__claude_ai_Apollo_MCP__apollo_people_bulk_match` to enrich up to 10 leads per call with:\n- `first_name`, `last_name`, `domain` for each person\n- `reveal_personal_emails` set to `true`\n\nIf more than 10 leads, batch into multiple calls.\n\n## Step 6 — Present the Lead Table\n\nShow results in a ranked table:\n\n### Leads matching: [ICP Summary]\n\n| # | Name | Title | Company | Employees | Revenue | Email | Phone | ICP Fit |\n|---|---|---|---|---|---|---|---|---|\n\n**ICP Fit** scoring:\n- **Strong** — title, seniority, company size, and industry all match\n- **Good** — 3 of 4 criteria match\n- **Partial** — 2 of 4 criteria match\n\n**Summary**: Found X leads across Y companies. Z credits consumed.\n\n## Step 7 — Offer Next Actions\n\nAsk the user:\n\n1. **Save all to Apollo** — Bulk-create contacts via `mcp__claude_ai_Apollo_MCP__apollo_contacts_create` with `run_dedupe: true` for each lead\n2. **Load into a sequence** — Ask which sequence and run the sequence-load flow for these contacts\n3. **Deep-dive a company** — Run `\u002Fapollo:company-intel` on any company from the list\n4. **Refine the search** — Adjust filters and re-run\n5. **Export** — Format leads as a CSV-style table for easy copy-paste\n",{"name":5,"description":7,"argument-hint":41,"user-invocable":42},"[describe your ideal customer]",true,"main","e605d8ddbfb688da57dfaaceebd93f12a64ef1d3","partner-built\u002Fapollo\u002Fskills\u002Fprospect",3944,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins","https:\u002F\u002Fgithub.com\u002Fanthropics","https:\u002F\u002Fanthropic.com","2026-11-14 06:21:52",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":42},[53,56,59],{"tool":54,"command":55},"npx","npx skills add anthropics\u002Fknowledge-work-plugins --skill prospect",{"tool":57,"command":58},"bunx","bunx skills add anthropics\u002Fknowledge-work-plugins --skill prospect",{"tool":60,"command":61},"pnpm","pnpm dlx skills add anthropics\u002Fknowledge-work-plugins --skill prospect","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fpartner-built\u002Fapollo\u002Fskills\u002Fprospect\u002FSKILL.md",[],[65,91,116,138,167,193],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":36},"01M718Y97HCGW12Q53PSJDY03W","ticket-deflector","Reads a forwarded customer email or ticket, pulls order and refund status from a payments connector (PayPal, Square, or Stripe) or Shopify, account history from the CRM, and open tickets from a support desk (Zoho Desk), drafts a tone-matched reply in the owner's writing voice, and can issue a refund through the payments connector with explicit owner approval. With Shopify connected it also runs a proactive order-triage mode that surfaces orders needing attention — unfulfilled past the promised window, payment problems, pending refunds, stuck shipments — and drafts the next action for each before the customer has to ask. Use when the user says \"draft a response,\" \"answer this customer,\" \"where's my order,\" \"I want a refund,\" \"check my orders,\" or \"anything about to blow up.\"","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fsmall-business\u002Fskills\u002Fticket-deflector\u002FSKILL.md",[],[72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,25,87,88,89,90],"ticket","ticket deflector","mode","up","payments","open","writing","when","workflow","ask","Connector","text","mail","window","next","support","crm","past","read",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":36},"01M718Y55HFAN5705ME5VEDZ9K","tax-season-organizer","Prepares tax-season materials for the owner's accountant, not tax advice. US federal tax; a non-US business gets its closed-books packet instead. Two modes: (1) quarterly estimated tax from YTD net income in the ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books); (2) year-end 1099 prep, scanning the ledger, PayPal, and Stripe for contractors paid over USD 600 into a 1099-NEC list with missing W-9 flags.\nAny tax request routes first to \u002Ftax-prep, which confirms the books are closed and reconciled before running this skill. Use this skill directly only when the owner says the period's books are already closed: \"books are closed, now do the 1099s,\" \"run the quarterly estimate off the closed numbers,\" or \"just the contractor W-9 list.\"","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fsmall-business\u002Fskills\u002Ftax-season-organizer\u002FSKILL.md",[],[98,99,100,101,102,103,104,105,106,107,79,108,109,110,111,112,90,113,114,115],"tax season organizer","tax","us federal","which","netsuite","paid","end","usd","only","now","books","xero","scanning","run","request","flags","list","stripe",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":36},"01M718Y13VVPHDD9NTDBVFJ2AZ","tax-prep","Prepares tax materials as a two-link chain — month-end-prep confirms the books are closed and reconciled first, then tax-season-organizer calculates the quarterly estimated payment or builds the year-end 1099-NEC list and accountant packet from those closed numbers. Requires a ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books); uses Gusto, PayPal, and Stripe when connected, else CSV upload. US federal tax math; a non-US business gets the closed-books packet. Prep material for a CPA, never tax advice, nothing filed. Trigger on \"quarterly taxes,\" \"estimated tax payment,\" \"how much should I set aside,\" \"1099s,\" \"1099-NEC,\" \"W-9s,\" \"year-end tax prep,\" \"get my books ready for my accountant,\" any phrasing that suggests a tax deadline is coming, or a question about net profit or YTD income that sounds like worry about a tax bill. An owner who says the period's books are already closed routes to tax-season-organizer directly.","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fsmall-business\u002Fskills\u002Ftax-prep\u002FSKILL.md",[],[123,99,124,125,100,126,127,102,128,129,34,130,131,132,133,104,134,135,136,137],"tax prep","prep","SET","as","ready","never","zoho books","chain","profit","for","trigger","material","question","paypal","business",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":149,"publishedAt":36},"01M718XWTWQZ01GYSG9T8RW8TW","speed-to-lead","Makes sure no inbound lead goes unanswered. Watches web forms, the shared inbox, and the CRM for new inquiries, qualifies each one against the owner's criteria, drafts a reply in the owner's voice with real meeting times for the owner to approve and send, routes anything hot to a human right away, and logs the whole thing to the CRM. Never sends on its own. Built to run on a schedule so overnight inquiries are drafted and sorted by morning, and works from forwarded or pasted inquiries when no connector is available. Use this whenever the owner is worried about inbound leads or response time — including phrasings like \"leads are going cold,\" \"did anyone answer that inquiry,\" \"I keep missing form submissions,\" \"nothing falls through the cracks,\" \"handle my inbound,\" \"respond to this lead,\" or \"we lose people because nobody gets back fast enough.\" Reach for it for a single unanswered inquiry as readily as for a standing setup.","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fsmall-business\u002Fskills\u002Fspeed-to-lead\u002FSKILL.md",[144],{"categoryNo":145,"categoryName":146,"taxonomyType":147,"taxonomyTypeDesc":148},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[150,151,152,153,154,155,128,156,157,158,159,160,161,162,79,163,164,82,165,166],"speed to lead","lead","speed","shared","back","cold","time","inbox","send","respond","new","web forms","people","schedule","logs","sure","human",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":176,"publishedAt":36},"01M718XQYMN1KY3TPS33967FK0","social-content-engine","Runs the owner's content operation as a standing thing rather than a one-off: keeps a rolling posting calendar, learns the owner's voice, generates on-brand Canva graphics, writes captions that sound like them, repurposes one asset into every channel format, and stages posts for approval instead of publishing on its own. Pulls product photos and prices from Shopify when connected; with no connectors, drafts the calendar and asset briefs for manual posting. Use this whenever the owner talks about posting, content, or social — including \"I need to post more,\" \"we've gone quiet on Instagram,\" \"what should we post this month,\" \"make the content,\" \"give me a month of posts,\" \"write this in my voice,\" \"repurpose this,\" or \"set up our content calendar.\" Reach for it for a single post as readily as for a full quarter. One handoff: a finished, approved campaign brief goes to canva-creator; this skill owns the standing operation.","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fsmall-business\u002Fskills\u002Fsocial-content-engine\u002FSKILL.md",[173],{"categoryNo":174,"categoryName":175,"taxonomyType":147,"taxonomyTypeDesc":148},"01JBSEEDCAT000000000000036","内容创作者",[177,178,179,180,181,182,125,183,184,185,186,75,187,79,188,189,190,90,191,192],"social","social content engine","engine","content engine","social content","content","brief","posts","Captions","prices","campaign","me","product","calendar","write","drafts",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":199,"publishedAt":36},"01M718XMPJVH0EVRVP998BVZPC","smb-router","The front door to the Small Business plugin. Listens to what the owner needs right now — vague or specific — and routes them to the best skill or slash command for the moment. Also serves as a guide: explains what's available, suggests what to try next, and adapts recommendations based on stored business context. Trigger whenever the owner asks \"what can you do,\" \"help me with my business,\" \"what should I focus on,\" \"I don't know where to start,\" or any open-ended business request that doesn't clearly match a single skill.","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Fblob\u002Fmain\u002Fsmall-business\u002Fskills\u002Fsmb-router\u002FSKILL.md",[],[200,201,202,126,203,132,133,204,77,205,107,137,206,207,208,26,209,188,210,86],"router","smb","smb router","do","front","single","you","vague","can","plugin","focus"]