[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DREFYAW7Z6A9Q069AN0ZXR":3,"skill-same:01M6DREFYAW7Z6A9Q069AN0ZXR":107},{"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":37,"publishedAt":58,"linkOnly":59,"markdownContent":60,"markdownBody":61,"frontMatter":62,"refName":74,"commitSha":75,"skillDirectory":76,"forksCount":77,"repositoryHtmlUrl":78,"repositoryHomepageUrl":6,"ownerHtmlUrl":79,"ownerBlogUrl":80,"ownerDescription":81,"updatedAt":82,"install":83,"resources":95},"01M6DREFYAW7Z6A9Q069AN0ZXR","firecrawl-workflows",null,"Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, literature reviews over published papers, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.","robomotionio\u002Frobomotion-skills","robomotionio","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F49553031?v=4","01M6DNT9VFKCCTN41ZX2AJAKF6","Robomotion RPA","01M6DNTA04HHCEWE175YJ41Q1M",3,"ISC","https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Ffirecrawl-skills\u002Fskills\u002Fworkflows\u002Ffirecrawl-workflows\u002FSKILL.md",[18,23,26,29,34],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",{"categoryNo":35,"categoryName":36,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000035","市场营销",[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57],"firecrawl workflows","workflows","firecrawl","api","complete","as","use","business","page","knowledge","scrape","design","seo","produce","qa","dev","artifacts","design systems","code","workflow","2026-11-10 10:12:30",false,"---\nname: firecrawl-workflows\ndescription: Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, literature reviews over published papers, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.\nlicense: ISC\nmetadata:\n  author: firecrawl\n  version: \"0.1.0\"\n  homepage: https:\u002F\u002Fwww.firecrawl.dev\n  source: https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows\ninputs:\n  - name: FIRECRAWL_API_KEY\n    description: Firecrawl API key for hosted Firecrawl requests when the workflow runs through the CLI or API.\n    required: true\nreferences:\n  - references\u002Fworkflow-authoring.md\n---\n\n# Firecrawl Workflows\n\nUse this when the user wants a finished deliverable powered by Firecrawl, not only raw web extraction and not product-code integration.\n\n## Choose The Workflow\n\n- Use [firecrawl-website-design-clone](..\u002Ffirecrawl-website-design-clone\u002FSKILL.md) to extract a website's colors, fonts, spacing, components, and layout patterns into an agent-ready `DESIGN.md`.\n- Use [firecrawl-research-papers](..\u002Ffirecrawl-research-papers\u002FSKILL.md) for literature reviews and paper-backed synthesis, including biomedical, clinical, drug, gene, disease, epidemiology, and public-health topics. It queries Firecrawl's paper index — PubMed, bioRxiv, medRxiv, and arXiv abstracts with full text reachable per paper — rather than searching websites.\n- Use [firecrawl-deep-research](..\u002Ffirecrawl-deep-research\u002FSKILL.md) for sourced multi-source research reports built from **web** evidence: market, policy, technical, or industry topics. Not for literature reviews — when the evidence base is published papers, use `firecrawl-research-papers` above.\n- Use [firecrawl-seo-audit](..\u002Ffirecrawl-seo-audit\u002FSKILL.md) for site structure, on-page SEO, keyword, and SERP audits.\n- Use [firecrawl-lead-research](..\u002Ffirecrawl-lead-research\u002FSKILL.md) for pre-meeting company\u002Fperson intelligence briefs.\n- Use [firecrawl-qa](..\u002Ffirecrawl-qa\u002FSKILL.md) for live-site QA testing and bug reports.\n- Use [firecrawl-competitive-intel](..\u002Ffirecrawl-competitive-intel\u002FSKILL.md) for recurring pricing, feature, and changelog monitoring.\n- Use [firecrawl-company-directories](..\u002Ffirecrawl-company-directories\u002FSKILL.md) for directory extraction into company lists.\n- Use [firecrawl-dashboard-reporting](..\u002Ffirecrawl-dashboard-reporting\u002FSKILL.md) for dashboard metrics extraction.\n- Use [firecrawl-knowledge-base](..\u002Ffirecrawl-knowledge-base\u002FSKILL.md) for LLM-ready docs, RAG chunks, training data, or docs mirrors.\n- Use [firecrawl-knowledge-ingest](..\u002Ffirecrawl-knowledge-ingest\u002FSKILL.md) for auth-gated or JS-heavy docs portal ingestion.\n- Use [firecrawl-lead-gen](..\u002Ffirecrawl-lead-gen\u002FSKILL.md) for prospect list generation.\n- Use [firecrawl-market-research](..\u002Ffirecrawl-market-research\u002FSKILL.md) for market, financial, and industry research.\n- Use [firecrawl-demo-walkthrough](..\u002Ffirecrawl-demo-walkthrough\u002FSKILL.md) for product flow walkthroughs and UX teardown reports.\n- Use [firecrawl-shop](..\u002Ffirecrawl-shop\u002FSKILL.md) for product research and shopping recommendations.\n\nIf no existing workflow fits, use this generic process and produce a reusable pattern that could become a new skill.\n\n## Required Intake\n\nInfer the workflow, inputs, audience, and output format from the user's request and surrounding context. If enough is clear, start immediately.\n\nAsk at most 1-3 concise clarifying questions only when a missing input would block the work, such as:\n\n- the URL, company, topic, or source to analyze\n- the desired deliverable or output format\n- a constraint that would materially change the workflow\n\nUse the host agent's normal way to ask clarifying questions. Do not depend on a harness-specific function name.\n\n## Default Process\n\n1. Confirm the workflow and final artifact.\n2. Collect web evidence with Firecrawl through the CLI or equivalent Firecrawl tool surface.\n3. Save or cite source evidence so the final claims are traceable.\n4. Run independent research units in parallel when available.\n5. Synthesize findings into the requested deliverable.\n6. Include a short \"rerun inputs\" block when the workflow could be automated.\n\n## Parallel Work\n\nIf appropriate, use sub-agents or equivalent parallel task runners for independent units such as:\n\n- one competitor per researcher\n- one URL or page per researcher\n- one source category per researcher\n- one analysis dimension per reviewer\n\nKeep the handoff generic: provide the unit of work, source URLs or search terms, expected extracted fields, and output format.\n\n## Deliverable Standards\n\nEvery workflow should return:\n\n- a concise executive summary\n- the evidence base used\n- the analysis or artifact requested by the user\n- recommendations or next actions when useful\n- automation inputs for reruns\n\nFor authoring new workflow skills, see [workflow-authoring.md](references\u002Fworkflow-authoring.md).\n","# Firecrawl Workflows\n\nUse this when the user wants a finished deliverable powered by Firecrawl, not only raw web extraction and not product-code integration.\n\n## Choose The Workflow\n\n- Use [firecrawl-website-design-clone](..\u002Ffirecrawl-website-design-clone\u002FSKILL.md) to extract a website's colors, fonts, spacing, components, and layout patterns into an agent-ready `DESIGN.md`.\n- Use [firecrawl-research-papers](..\u002Ffirecrawl-research-papers\u002FSKILL.md) for literature reviews and paper-backed synthesis, including biomedical, clinical, drug, gene, disease, epidemiology, and public-health topics. It queries Firecrawl's paper index — PubMed, bioRxiv, medRxiv, and arXiv abstracts with full text reachable per paper — rather than searching websites.\n- Use [firecrawl-deep-research](..\u002Ffirecrawl-deep-research\u002FSKILL.md) for sourced multi-source research reports built from **web** evidence: market, policy, technical, or industry topics. Not for literature reviews — when the evidence base is published papers, use `firecrawl-research-papers` above.\n- Use [firecrawl-seo-audit](..\u002Ffirecrawl-seo-audit\u002FSKILL.md) for site structure, on-page SEO, keyword, and SERP audits.\n- Use [firecrawl-lead-research](..\u002Ffirecrawl-lead-research\u002FSKILL.md) for pre-meeting company\u002Fperson intelligence briefs.\n- Use [firecrawl-qa](..\u002Ffirecrawl-qa\u002FSKILL.md) for live-site QA testing and bug reports.\n- Use [firecrawl-competitive-intel](..\u002Ffirecrawl-competitive-intel\u002FSKILL.md) for recurring pricing, feature, and changelog monitoring.\n- Use [firecrawl-company-directories](..\u002Ffirecrawl-company-directories\u002FSKILL.md) for directory extraction into company lists.\n- Use [firecrawl-dashboard-reporting](..\u002Ffirecrawl-dashboard-reporting\u002FSKILL.md) for dashboard metrics extraction.\n- Use [firecrawl-knowledge-base](..\u002Ffirecrawl-knowledge-base\u002FSKILL.md) for LLM-ready docs, RAG chunks, training data, or docs mirrors.\n- Use [firecrawl-knowledge-ingest](..\u002Ffirecrawl-knowledge-ingest\u002FSKILL.md) for auth-gated or JS-heavy docs portal ingestion.\n- Use [firecrawl-lead-gen](..\u002Ffirecrawl-lead-gen\u002FSKILL.md) for prospect list generation.\n- Use [firecrawl-market-research](..\u002Ffirecrawl-market-research\u002FSKILL.md) for market, financial, and industry research.\n- Use [firecrawl-demo-walkthrough](..\u002Ffirecrawl-demo-walkthrough\u002FSKILL.md) for product flow walkthroughs and UX teardown reports.\n- Use [firecrawl-shop](..\u002Ffirecrawl-shop\u002FSKILL.md) for product research and shopping recommendations.\n\nIf no existing workflow fits, use this generic process and produce a reusable pattern that could become a new skill.\n\n## Required Intake\n\nInfer the workflow, inputs, audience, and output format from the user's request and surrounding context. If enough is clear, start immediately.\n\nAsk at most 1-3 concise clarifying questions only when a missing input would block the work, such as:\n\n- the URL, company, topic, or source to analyze\n- the desired deliverable or output format\n- a constraint that would materially change the workflow\n\nUse the host agent's normal way to ask clarifying questions. Do not depend on a harness-specific function name.\n\n## Default Process\n\n1. Confirm the workflow and final artifact.\n2. Collect web evidence with Firecrawl through the CLI or equivalent Firecrawl tool surface.\n3. Save or cite source evidence so the final claims are traceable.\n4. Run independent research units in parallel when available.\n5. Synthesize findings into the requested deliverable.\n6. Include a short \"rerun inputs\" block when the workflow could be automated.\n\n## Parallel Work\n\nIf appropriate, use sub-agents or equivalent parallel task runners for independent units such as:\n\n- one competitor per researcher\n- one URL or page per researcher\n- one source category per researcher\n- one analysis dimension per reviewer\n\nKeep the handoff generic: provide the unit of work, source URLs or search terms, expected extracted fields, and output format.\n\n## Deliverable Standards\n\nEvery workflow should return:\n\n- a concise executive summary\n- the evidence base used\n- the analysis or artifact requested by the user\n- recommendations or next actions when useful\n- automation inputs for reruns\n\nFor authoring new workflow skills, see [workflow-authoring.md](references\u002Fworkflow-authoring.md).\n",{"name":5,"inputs":63,"license":15,"metadata":68,"references":72,"description":7},[64],{"name":65,"required":66,"description":67},"FIRECRAWL_API_KEY",true,"Firecrawl API key for hosted Firecrawl requests when the workflow runs through the CLI or API.",{"author":40,"source":69,"version":70,"homepage":71},"https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows","0.1.0","https:\u002F\u002Fwww.firecrawl.dev",[73],"references\u002Fworkflow-authoring.md","main","255bc92da499b24be3950e91bf3fd2f84adc6246","firecrawl-skills\u002Fskills\u002Fworkflows\u002Ffirecrawl-workflows",0,"https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills","https:\u002F\u002Fgithub.com\u002Frobomotionio","https:\u002F\u002Fwww.robomotion.io","A web-based and cloud-native Robotic Process Automation (RPA) platform","2026-11-09 21:54:14",{"source":8,"skillName":5,"commands":84,"prompt":94,"zipAvailable":66},[85,88,91],{"tool":86,"command":87},"npx","npx skills add robomotionio\u002Frobomotion-skills --skill firecrawl-workflows",{"tool":89,"command":90},"bunx","bunx skills add robomotionio\u002Frobomotion-skills --skill firecrawl-workflows",{"tool":92,"command":93},"pnpm","pnpm dlx skills add robomotionio\u002Frobomotion-skills --skill firecrawl-workflows","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Ffirecrawl-skills\u002Fskills\u002Fworkflows\u002Ffirecrawl-workflows\u002FSKILL.md",[96,102],{"path":97,"resourceType":98,"resourceTypeDesc":99,"sizeBytes":100,"sourceHtmlUrl":101},"env.required","OTHER","其他",18,"https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Ffirecrawl-skills\u002Fskills\u002Fworkflows\u002Ffirecrawl-workflows\u002Fenv.required",{"path":73,"resourceType":103,"resourceTypeDesc":104,"sizeBytes":105,"sourceHtmlUrl":106},"REFERENCE","参考文档",1992,"https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Ffirecrawl-skills\u002Fskills\u002Fworkflows\u002Ffirecrawl-workflows\u002Freferences\u002Fworkflow-authoring.md",[108,139,166,188,212,242],{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":121,"publishedAt":58},"01M6DVHBXN0KDNGD4H9DSWTTCG","ckm:ui-styling","Create beautiful, accessible user interfaces with shadcn\u002Fui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.","MIT","https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill\u002F.claude\u002Fskills\u002Fui-styling\u002FSKILL.md",[115,118],{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":119,"categoryName":120,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000032","设计师",[122,123,124,125,49,126,127,128,129,130,55,131,132,133,134,44,135,136,137,138],"ui styling","ui","styling","ckm:ui styling","css","canvas","components","component","create","applications","first","Tailwind","radix ui","visual","across","dark mode","ui components",{"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":112,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":151,"publishedAt":58},"01M6DVH17X0AE8DN1QYVG0RC16","ckm:design","Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social\u002Fads\u002Fweb\u002Fprint), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.","https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill\u002F.claude\u002Fskills\u002Fdesign\u002FSKILL.md",[145,148,149,150],{"categoryNo":146,"categoryName":147,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":119,"categoryName":120,"taxonomyType":32,"taxonomyTypeDesc":33},[49,141,152,122,153,154,130,155,156,123,157,158,159,160,124,161,162,163,164,165],"google","design system","presentations","generate","screenshot","actions","Media","logo","ads","images","youtube","tiktok","social","chart",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":174,"publishedAt":58},"01M6DVGVP1W8D53EFXNCCVQMFC","ckm:design-system","Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing\u002Ftypography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.","https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill\u002F.claude\u002Fskills\u002Fdesign-system\u002FSKILL.md",[172,173],{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":119,"categoryName":120,"taxonomyType":32,"taxonomyTypeDesc":33},[49,153,175,176,141,126,129,177,154,178,44,179,180,181,182,183,184,185,186,187],"system","ckm:design system","architecture","brand","typography","design tokens","three","token","generation","tokens","creation","systematic","css variables",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":6,"sourceHtmlUrl":192,"categories":193,"keywords":199,"publishedAt":58},"01M6DVGK91P01C99NQ5Z83VN7S","ckm:banner-design","Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter\u002FX, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.","https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Fui-ux-pro-max-skill\u002F.claude\u002Fskills\u002Fbanner-design\u002FSKILL.md",[194,197,198],{"categoryNo":195,"categoryName":196,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":119,"categoryName":120,"taxonomyType":32,"taxonomyTypeDesc":33},[49,200,201,202,203,130,155,204,157,158,205,160,206,207,208,162,164,209,210,211],"banner design","ckm:banner design","banner","frontend","website","3D","generated","Art","ui-ux","dimensions","options","neon",{"skillNo":213,"name":214,"nameZh":6,"description":215,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":6,"sourceHtmlUrl":216,"categories":217,"keywords":224,"publishedAt":58},"01M6DVC00Y6MH20TM98KVDHQB1","supabase-postgres-best-practices","Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector\u002Fsemantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.","https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Fsupabase-skills\u002Fskills\u002Fsupabase-postgres-best-practices\u002FSKILL.md",[218,221],{"categoryNo":219,"categoryName":220,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":222,"categoryName":223,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000033","数据分析师",[225,226,227,228,229,49,230,231,232,56,233,234,235,236,237,238,239,136,240,241],"best practices","supabase postgres best practices","supabase","postgres best practices","postgres","writing","performance","tasks","database","search","vector","analysis","plan","files","query","critical","impact",{"skillNo":243,"name":244,"nameZh":6,"description":245,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":246,"licenseFileUrl":6,"sourceHtmlUrl":247,"categories":248,"keywords":250,"publishedAt":58},"01M6DV40GRQ962SZH6C252N34A","scrapedo-search","Search Google and read web pages (as Markdown) through Scrape.do, keeping each result's link so every finding can be cited. Use for account and company research, competitor and pricing checks, finding a page that answers a question, or reading a page a search turned up.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Frobomotionio\u002Frobomotion-skills\u002Fblob\u002Fmain\u002Frobomotion-web\u002Fskills\u002Fscrapedo-search\u002FSKILL.md",[249],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[234,251,252,253,254,41,48,255,256,46,257,44,258,259,260,261,262,263,43,264],"scrapedo search","research","pricing","web","markdown","access","question","only","up","do","outbound","pages","read web","link"]