[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-anthropic-contact-research":3,"mdc--chsfls-key":40,"related-org-anthropic-contact-research":471,"related-repo-anthropic-contact-research":660},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":29,"repoUrl":30,"updatedAt":31,"license":32,"forks":33,"topics":34,"repo":35,"sourceUrl":38,"mdContent":39},"contact-research","research contacts with Common Room","Research a specific person using Common Room data. Triggers on 'who is [name]', 'look up [email]', 'research [contact]', 'is [name] a warm lead', or any contact-level question.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"anthropic","Anthropic","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fanthropic.png","anthropics",[13,17,20,23,26],{"name":14,"slug":15,"type":16},"Research","research","tag",{"name":18,"slug":19,"type":16},"CRM","crm",{"name":21,"slug":22,"type":16},"Sales","sales",{"name":24,"slug":25,"type":16},"Lead Enrichment","lead-enrichment",{"name":27,"slug":28,"type":16},"Common Room","common-room",22885,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins","2026-04-06T18:00:18.11358",null,2736,[],{"repoUrl":30,"stars":29,"forks":33,"topics":36,"description":37},[],"Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fknowledge-work-plugins\u002Ftree\u002FHEAD\u002Fpartner-built\u002Fcommon-room\u002Fskills\u002Fcontact-research","---\nname: contact-research\ndescription: \"Research a specific person using Common Room data. Triggers on 'who is [name]', 'look up [email]', 'research [contact]', 'is [name] a warm lead', or any contact-level question.\"\n---\n\n# Contact Research\n\nRetrieve a comprehensive contact profile from Common Room. Supports lookup by email, social handle, or name + company. Returns enriched data including activity history, Spark, scores, website visits, and CRM fields.\n\n## Step 1: Locate the Contact\n\nCommon Room supports multiple lookup methods — use whichever the user has provided:\n\n| What the user gives | Lookup method |\n|---------------------|--------------|\n| Email address | Look up by email (most reliable) |\n| LinkedIn, Twitter\u002FX, or GitHub handle | Look up by social handle — specify handle type explicitly |\n| Name + company | Identity resolution by name + org domain; present matches if ambiguous |\n| Name only | Search by name; if multiple matches, show a brief list and ask the user to confirm |\n\nIf no match is found, respond: \"Common Room doesn't have a record for this person.\" Do not speculate or fabricate profile data.\n\n## Step 2: Fetch Contact Fields\n\nUse the Common Room object catalog to see available field groups and their contents. For full profiles, request all groups. For targeted questions, request only what's relevant.\n\n**Key field groups to know about:**\n- **Scores** — always return as raw values or percentiles, never labels\n- **Recent activity** — use `Contact Initiated` filter (last 60 days) for their actions, not your team's\n- **Website visits** — total count + specific pages (last 12 weeks)\n- **Spark** — retrieve all Sparks when tracking engagement evolution over time\n\n## Step 3: Run Spark Enrichment (If Available)\n\nIf Spark is available, use it. Spark provides:\n- Professional background and job history\n- Social presence and influence signals\n- Persona classification: Champion, Economic Buyer, Technical Evaluator, End User, or Gatekeeper\n- Inferred role in the buying process\n\nIf Spark is unavailable but real activity data exists (recent actions, website visits, community engagement), infer a persona from those signals. If neither Spark nor activity data is available, classify as Unknown — do not guess a persona from title alone.\n\nRetrieve **all Sparks** (not just the most recent) when the user wants to understand how this contact's engagement has evolved over time.\n\n## Step 4: Assess Account Context\n\nPull an abbreviated account snapshot for this contact's parent company. Note:\n- Open opportunities, expansion signals, or churn risk at the account level\n- Whether other contacts at this company are also active\n- How this person's engagement compares to their colleagues\n\n## Step 5: Identify Conversation Angles\n\nBased on activity and signals, surface the strongest 2–3 hooks:\n- A recent `Contact Initiated` activity (community post, product event, support ticket)\n- A specific web page they visited recently — especially if it signals evaluation intent\n- A job change, promotion, or company news\n- Their Spark persona and what that suggests about communication style\n- Their role in a known active deal\n\n## Output Format\n\nOnly include sections where data was actually returned. Omit sections with no data rather than filling them with guesses.\n\n**When data is rich:**\n\n```\n## [Contact Name] — Profile\n\n**Overview**\n[2 sentences: who they are, their role, and relationship status]\n\n**Details**\n- Title: [title]\n- Company: [company]\n- Email: [email]\n- LinkedIn: [URL]\n- Other profiles: [Twitter\u002FX, GitHub, CRM link if available]\n\n**Scores** [If scores returned]\n[All scores as raw values or percentiles]\n\n**Recent Activity** (last 60 days) [If activity returned]\n[3–5 bullets with dates]\n\n**Website Visits** (last 12 weeks) [If visit data exists]\n[Total visit count + list of pages visited]\n\n**Spark Profile** [If Spark data is non-null]\n[Persona type, background summary, influence signals]\n\n**Segments** [If segments returned]\n[List of segment names this contact belongs to]\n\n**Account Context**\n[1–2 sentences on their company's status]\n\n**Conversation Starters**\n[2–3 specific, signal-backed openers]\n```\n\n**When data is sparse (e.g., only name, title, email, tags returned; sparkSummary is null):**\n\n```\n## [Contact Name] — Profile (Limited Data)\n\n**Data available:** [List exactly what Common Room returned]\n\n[Present only the returned fields]\n\n**Web Search**\n[Any findings from searching their name + company]\n\n**Note:** Common Room has limited data on this contact. No activity history, scores, or Spark profile available. I can run deeper web searches or look up their company for additional context.\n```\n\nDo not generate conversation starters, persona inferences, or engagement assessments from sparse data. These require real signals.\n\n## Quality Standards\n\n- Lookup must use the correct method for the input type — don't guess on email vs. handle\n- Scores as raw\u002Fpercentile only — never labels\n- `Contact Initiated` activity (last 60 days) is the primary engagement signal — lead with it\n- If Spark is unavailable, say so — don't fabricate a persona from title alone\n- Flag any contact where the most recent activity is older than 30 days\n\n## Reference Files\n\n- **`references\u002Fcontact-signals-guide.md`** — full field descriptions, Spark persona guide, and conversation starter principles\n",{"data":41,"body":42},{"name":4,"description":6},{"type":43,"children":44},"root",[45,53,59,66,71,151,156,162,167,176,230,236,241,264,269,281,287,292,310,316,321,356,362,367,375,387,395,404,409,415,448,454],{"type":46,"tag":47,"props":48,"children":49},"element","h1",{"id":4},[50],{"type":51,"value":52},"text","Contact Research",{"type":46,"tag":54,"props":55,"children":56},"p",{},[57],{"type":51,"value":58},"Retrieve a comprehensive contact profile from Common Room. Supports lookup by email, social handle, or name + company. Returns enriched data including activity history, Spark, scores, website visits, and CRM fields.",{"type":46,"tag":60,"props":61,"children":63},"h2",{"id":62},"step-1-locate-the-contact",[64],{"type":51,"value":65},"Step 1: Locate the Contact",{"type":46,"tag":54,"props":67,"children":68},{},[69],{"type":51,"value":70},"Common Room supports multiple lookup methods — use whichever the user has provided:",{"type":46,"tag":72,"props":73,"children":74},"table",{},[75,94],{"type":46,"tag":76,"props":77,"children":78},"thead",{},[79],{"type":46,"tag":80,"props":81,"children":82},"tr",{},[83,89],{"type":46,"tag":84,"props":85,"children":86},"th",{},[87],{"type":51,"value":88},"What the user gives",{"type":46,"tag":84,"props":90,"children":91},{},[92],{"type":51,"value":93},"Lookup method",{"type":46,"tag":95,"props":96,"children":97},"tbody",{},[98,112,125,138],{"type":46,"tag":80,"props":99,"children":100},{},[101,107],{"type":46,"tag":102,"props":103,"children":104},"td",{},[105],{"type":51,"value":106},"Email address",{"type":46,"tag":102,"props":108,"children":109},{},[110],{"type":51,"value":111},"Look up by email (most reliable)",{"type":46,"tag":80,"props":113,"children":114},{},[115,120],{"type":46,"tag":102,"props":116,"children":117},{},[118],{"type":51,"value":119},"LinkedIn, Twitter\u002FX, or GitHub handle",{"type":46,"tag":102,"props":121,"children":122},{},[123],{"type":51,"value":124},"Look up by social handle — specify handle type explicitly",{"type":46,"tag":80,"props":126,"children":127},{},[128,133],{"type":46,"tag":102,"props":129,"children":130},{},[131],{"type":51,"value":132},"Name + company",{"type":46,"tag":102,"props":134,"children":135},{},[136],{"type":51,"value":137},"Identity resolution by name + org domain; present matches if ambiguous",{"type":46,"tag":80,"props":139,"children":140},{},[141,146],{"type":46,"tag":102,"props":142,"children":143},{},[144],{"type":51,"value":145},"Name only",{"type":46,"tag":102,"props":147,"children":148},{},[149],{"type":51,"value":150},"Search by name; if multiple matches, show a brief list and ask the user to confirm",{"type":46,"tag":54,"props":152,"children":153},{},[154],{"type":51,"value":155},"If no match is found, respond: \"Common Room doesn't have a record for this person.\" Do not speculate or fabricate profile data.",{"type":46,"tag":60,"props":157,"children":159},{"id":158},"step-2-fetch-contact-fields",[160],{"type":51,"value":161},"Step 2: Fetch Contact Fields",{"type":46,"tag":54,"props":163,"children":164},{},[165],{"type":51,"value":166},"Use the Common Room object catalog to see available field groups and their contents. For full profiles, request all groups. For targeted questions, request only what's relevant.",{"type":46,"tag":54,"props":168,"children":169},{},[170],{"type":46,"tag":171,"props":172,"children":173},"strong",{},[174],{"type":51,"value":175},"Key field groups to know about:",{"type":46,"tag":177,"props":178,"children":179},"ul",{},[180,191,210,220],{"type":46,"tag":181,"props":182,"children":183},"li",{},[184,189],{"type":46,"tag":171,"props":185,"children":186},{},[187],{"type":51,"value":188},"Scores",{"type":51,"value":190}," — always return as raw values or percentiles, never labels",{"type":46,"tag":181,"props":192,"children":193},{},[194,199,201,208],{"type":46,"tag":171,"props":195,"children":196},{},[197],{"type":51,"value":198},"Recent activity",{"type":51,"value":200}," — use ",{"type":46,"tag":202,"props":203,"children":205},"code",{"className":204},[],[206],{"type":51,"value":207},"Contact Initiated",{"type":51,"value":209}," filter (last 60 days) for their actions, not your team's",{"type":46,"tag":181,"props":211,"children":212},{},[213,218],{"type":46,"tag":171,"props":214,"children":215},{},[216],{"type":51,"value":217},"Website visits",{"type":51,"value":219}," — total count + specific pages (last 12 weeks)",{"type":46,"tag":181,"props":221,"children":222},{},[223,228],{"type":46,"tag":171,"props":224,"children":225},{},[226],{"type":51,"value":227},"Spark",{"type":51,"value":229}," — retrieve all Sparks when tracking engagement evolution over time",{"type":46,"tag":60,"props":231,"children":233},{"id":232},"step-3-run-spark-enrichment-if-available",[234],{"type":51,"value":235},"Step 3: Run Spark Enrichment (If Available)",{"type":46,"tag":54,"props":237,"children":238},{},[239],{"type":51,"value":240},"If Spark is available, use it. Spark provides:",{"type":46,"tag":177,"props":242,"children":243},{},[244,249,254,259],{"type":46,"tag":181,"props":245,"children":246},{},[247],{"type":51,"value":248},"Professional background and job history",{"type":46,"tag":181,"props":250,"children":251},{},[252],{"type":51,"value":253},"Social presence and influence signals",{"type":46,"tag":181,"props":255,"children":256},{},[257],{"type":51,"value":258},"Persona classification: Champion, Economic Buyer, Technical Evaluator, End User, or Gatekeeper",{"type":46,"tag":181,"props":260,"children":261},{},[262],{"type":51,"value":263},"Inferred role in the buying process",{"type":46,"tag":54,"props":265,"children":266},{},[267],{"type":51,"value":268},"If Spark is unavailable but real activity data exists (recent actions, website visits, community engagement), infer a persona from those signals. If neither Spark nor activity data is available, classify as Unknown — do not guess a persona from title alone.",{"type":46,"tag":54,"props":270,"children":271},{},[272,274,279],{"type":51,"value":273},"Retrieve ",{"type":46,"tag":171,"props":275,"children":276},{},[277],{"type":51,"value":278},"all Sparks",{"type":51,"value":280}," (not just the most recent) when the user wants to understand how this contact's engagement has evolved over time.",{"type":46,"tag":60,"props":282,"children":284},{"id":283},"step-4-assess-account-context",[285],{"type":51,"value":286},"Step 4: Assess Account Context",{"type":46,"tag":54,"props":288,"children":289},{},[290],{"type":51,"value":291},"Pull an abbreviated account snapshot for this contact's parent company. Note:",{"type":46,"tag":177,"props":293,"children":294},{},[295,300,305],{"type":46,"tag":181,"props":296,"children":297},{},[298],{"type":51,"value":299},"Open opportunities, expansion signals, or churn risk at the account level",{"type":46,"tag":181,"props":301,"children":302},{},[303],{"type":51,"value":304},"Whether other contacts at this company are also active",{"type":46,"tag":181,"props":306,"children":307},{},[308],{"type":51,"value":309},"How this person's engagement compares to their colleagues",{"type":46,"tag":60,"props":311,"children":313},{"id":312},"step-5-identify-conversation-angles",[314],{"type":51,"value":315},"Step 5: Identify Conversation Angles",{"type":46,"tag":54,"props":317,"children":318},{},[319],{"type":51,"value":320},"Based on activity and signals, surface the strongest 2–3 hooks:",{"type":46,"tag":177,"props":322,"children":323},{},[324,336,341,346,351],{"type":46,"tag":181,"props":325,"children":326},{},[327,329,334],{"type":51,"value":328},"A recent ",{"type":46,"tag":202,"props":330,"children":332},{"className":331},[],[333],{"type":51,"value":207},{"type":51,"value":335}," activity (community post, product event, support ticket)",{"type":46,"tag":181,"props":337,"children":338},{},[339],{"type":51,"value":340},"A specific web page they visited recently — especially if it signals evaluation intent",{"type":46,"tag":181,"props":342,"children":343},{},[344],{"type":51,"value":345},"A job change, promotion, or company news",{"type":46,"tag":181,"props":347,"children":348},{},[349],{"type":51,"value":350},"Their Spark persona and what that suggests about communication style",{"type":46,"tag":181,"props":352,"children":353},{},[354],{"type":51,"value":355},"Their role in a known active deal",{"type":46,"tag":60,"props":357,"children":359},{"id":358},"output-format",[360],{"type":51,"value":361},"Output Format",{"type":46,"tag":54,"props":363,"children":364},{},[365],{"type":51,"value":366},"Only include sections where data was actually returned. Omit sections with no data rather than filling them with guesses.",{"type":46,"tag":54,"props":368,"children":369},{},[370],{"type":46,"tag":171,"props":371,"children":372},{},[373],{"type":51,"value":374},"When data is rich:",{"type":46,"tag":376,"props":377,"children":381},"pre",{"className":378,"code":380,"language":51},[379],"language-text","## [Contact Name] — Profile\n\n**Overview**\n[2 sentences: who they are, their role, and relationship status]\n\n**Details**\n- Title: [title]\n- Company: [company]\n- Email: [email]\n- LinkedIn: [URL]\n- Other profiles: [Twitter\u002FX, GitHub, CRM link if available]\n\n**Scores** [If scores returned]\n[All scores as raw values or percentiles]\n\n**Recent Activity** (last 60 days) [If activity returned]\n[3–5 bullets with dates]\n\n**Website Visits** (last 12 weeks) [If visit data exists]\n[Total visit count + list of pages visited]\n\n**Spark Profile** [If Spark data is non-null]\n[Persona type, background summary, influence signals]\n\n**Segments** [If segments returned]\n[List of segment names this contact belongs to]\n\n**Account Context**\n[1–2 sentences on their company's status]\n\n**Conversation Starters**\n[2–3 specific, signal-backed openers]\n",[382],{"type":46,"tag":202,"props":383,"children":385},{"__ignoreMap":384},"",[386],{"type":51,"value":380},{"type":46,"tag":54,"props":388,"children":389},{},[390],{"type":46,"tag":171,"props":391,"children":392},{},[393],{"type":51,"value":394},"When data is sparse (e.g., only name, title, email, tags returned; sparkSummary is null):",{"type":46,"tag":376,"props":396,"children":399},{"className":397,"code":398,"language":51},[379],"## [Contact Name] — Profile (Limited Data)\n\n**Data available:** [List exactly what Common Room returned]\n\n[Present only the returned fields]\n\n**Web Search**\n[Any findings from searching their name + company]\n\n**Note:** Common Room has limited data on this contact. No activity history, scores, or Spark profile available. I can run deeper web searches or look up their company for additional context.\n",[400],{"type":46,"tag":202,"props":401,"children":402},{"__ignoreMap":384},[403],{"type":51,"value":398},{"type":46,"tag":54,"props":405,"children":406},{},[407],{"type":51,"value":408},"Do not generate conversation starters, persona inferences, or engagement assessments from sparse data. These require real signals.",{"type":46,"tag":60,"props":410,"children":412},{"id":411},"quality-standards",[413],{"type":51,"value":414},"Quality Standards",{"type":46,"tag":177,"props":416,"children":417},{},[418,423,428,438,443],{"type":46,"tag":181,"props":419,"children":420},{},[421],{"type":51,"value":422},"Lookup must use the correct method for the input type — don't guess on email vs. handle",{"type":46,"tag":181,"props":424,"children":425},{},[426],{"type":51,"value":427},"Scores as raw\u002Fpercentile only — never labels",{"type":46,"tag":181,"props":429,"children":430},{},[431,436],{"type":46,"tag":202,"props":432,"children":434},{"className":433},[],[435],{"type":51,"value":207},{"type":51,"value":437}," activity (last 60 days) is the primary engagement signal — lead with it",{"type":46,"tag":181,"props":439,"children":440},{},[441],{"type":51,"value":442},"If Spark is unavailable, say so — don't fabricate a persona from title alone",{"type":46,"tag":181,"props":444,"children":445},{},[446],{"type":51,"value":447},"Flag any contact where the most recent activity is older than 30 days",{"type":46,"tag":60,"props":449,"children":451},{"id":450},"reference-files",[452],{"type":51,"value":453},"Reference Files",{"type":46,"tag":177,"props":455,"children":456},{},[457],{"type":46,"tag":181,"props":458,"children":459},{},[460,469],{"type":46,"tag":171,"props":461,"children":462},{},[463],{"type":46,"tag":202,"props":464,"children":466},{"className":465},[],[467],{"type":51,"value":468},"references\u002Fcontact-signals-guide.md",{"type":51,"value":470}," — full field descriptions, Spark persona guide, and conversation starter principles",{"items":472,"total":659},[473,494,508,520,539,552,573,593,607,622,630,643],{"slug":474,"name":474,"fn":475,"description":476,"org":477,"tags":478,"stars":491,"repoUrl":492,"updatedAt":493},"algorithmic-art","create algorithmic art with p5.js","Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[479,482,485,488],{"name":480,"slug":481,"type":16},"Creative","creative",{"name":483,"slug":484,"type":16},"Design","design",{"name":486,"slug":487,"type":16},"Generative Art","generative-art",{"name":489,"slug":490,"type":16},"JavaScript","javascript",161831,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fskills","2026-04-06T17:56:15.455818",{"slug":495,"name":495,"fn":496,"description":497,"org":498,"tags":499,"stars":491,"repoUrl":492,"updatedAt":507},"brand-guidelines","apply Anthropic brand colors and typography","Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[500,503,504],{"name":501,"slug":502,"type":16},"Branding","branding",{"name":483,"slug":484,"type":16},{"name":505,"slug":506,"type":16},"Typography","typography","2026-04-06T17:56:05.042852",{"slug":509,"name":509,"fn":510,"description":511,"org":512,"tags":513,"stars":491,"repoUrl":492,"updatedAt":519},"canvas-design","create posters and visual art as PNG or PDF","Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[514,515,516],{"name":480,"slug":481,"type":16},{"name":483,"slug":484,"type":16},{"name":517,"slug":518,"type":16},"PDF","pdf","2026-04-06T17:56:03.794732",{"slug":521,"name":521,"fn":522,"description":523,"org":524,"tags":525,"stars":491,"repoUrl":492,"updatedAt":538},"claude-api","build apps with the Claude API","Reference for the Claude API \u002F Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude\u002FAnthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing\u002Fmodel choice\u002Flimits\u002Fcaching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent\u002FMCP\u002Ftool-definition\u002Fmulti-agent\u002FRAG\u002FLLM-judge\u002Fcomputer-use; generate\u002Fsummarize\u002Fextract\u002Fclassify\u002Frewrite\u002Fconverse over NL; debugging refusals\u002Fcutoffs\u002Fstreaming\u002Ftool-calls\u002Ftokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI\u002FGPT\u002FGemini\u002FLlama\u002FMistral\u002FCohere\u002FOllama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[526,529,530,533,535],{"name":527,"slug":528,"type":16},"Agents","agents",{"name":9,"slug":8,"type":16},{"name":531,"slug":532,"type":16},"Anthropic SDK","anthropic-sdk",{"name":534,"slug":521,"type":16},"Claude API",{"name":536,"slug":537,"type":16},"LLM","llm","2026-07-28T05:36:08.213335",{"slug":540,"name":540,"fn":541,"description":542,"org":543,"tags":544,"stars":491,"repoUrl":492,"updatedAt":551},"doc-coauthoring","co-author documentation and technical specs","Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[545,548],{"name":546,"slug":547,"type":16},"Documentation","documentation",{"name":549,"slug":550,"type":16},"Technical Writing","technical-writing","2026-04-06T17:56:14.18897",{"slug":553,"name":553,"fn":554,"description":555,"org":556,"tags":557,"stars":491,"repoUrl":492,"updatedAt":572},"docx","create and edit Word documents","Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[558,561,563,566,569],{"name":559,"slug":560,"type":16},"Documents","documents",{"name":562,"slug":553,"type":16},"DOCX",{"name":564,"slug":565,"type":16},"Office","office",{"name":567,"slug":568,"type":16},"Templates","templates",{"name":570,"slug":571,"type":16},"Word","word","2026-07-18T05:16:23.136271",{"slug":574,"name":574,"fn":575,"description":576,"org":577,"tags":578,"stars":491,"repoUrl":492,"updatedAt":592},"frontend-design","design production-grade frontend interfaces","Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[579,580,583,586,589],{"name":483,"slug":484,"type":16},{"name":581,"slug":582,"type":16},"Frontend","frontend",{"name":584,"slug":585,"type":16},"React","react",{"name":587,"slug":588,"type":16},"Tailwind CSS","tailwind-css",{"name":590,"slug":591,"type":16},"UI Components","ui-components","2026-04-06T17:56:16.723469",{"slug":594,"name":594,"fn":595,"description":596,"org":597,"tags":598,"stars":491,"repoUrl":492,"updatedAt":606},"internal-comms","write internal company communications","A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[599,602,603],{"name":600,"slug":601,"type":16},"Communications","communications",{"name":567,"slug":568,"type":16},{"name":604,"slug":605,"type":16},"Writing","writing","2026-04-06T17:56:20.695522",{"slug":608,"name":608,"fn":609,"description":610,"org":611,"tags":612,"stars":491,"repoUrl":492,"updatedAt":621},"mcp-builder","build MCP servers","Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node\u002FTypeScript (MCP SDK).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[613,614,617,618],{"name":527,"slug":528,"type":16},{"name":615,"slug":616,"type":16},"API Development","api-development",{"name":536,"slug":537,"type":16},{"name":619,"slug":620,"type":16},"MCP","mcp","2026-04-06T17:56:10.357665",{"slug":518,"name":518,"fn":623,"description":624,"org":625,"tags":626,"stars":491,"repoUrl":492,"updatedAt":629},"read edit and manipulate PDF files","Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text\u002Ftables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting\u002Fdecrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[627,628],{"name":559,"slug":560,"type":16},{"name":517,"slug":518,"type":16},"2026-04-06T17:56:02.483316",{"slug":631,"name":631,"fn":632,"description":633,"org":634,"tags":635,"stars":491,"repoUrl":492,"updatedAt":642},"pptx","create and edit PowerPoint presentations","Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[636,639],{"name":637,"slug":638,"type":16},"PowerPoint","powerpoint",{"name":640,"slug":641,"type":16},"Presentations","presentations","2026-07-18T05:16:24.1471",{"slug":644,"name":644,"fn":645,"description":646,"org":647,"tags":648,"stars":491,"repoUrl":492,"updatedAt":658},"skill-creator","create and optimize agent skills","Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[649,650,651,654,657],{"name":527,"slug":528,"type":16},{"name":546,"slug":547,"type":16},{"name":652,"slug":653,"type":16},"Evals","evals",{"name":655,"slug":656,"type":16},"Performance","performance",{"name":549,"slug":550,"type":16},"2026-04-19T06:45:40.804",490,{"items":661,"total":762},[662,676,686,702,718,737,749],{"slug":663,"name":663,"fn":664,"description":665,"org":666,"tags":667,"stars":29,"repoUrl":30,"updatedAt":675},"accessibility-review","run WCAG accessibility audits","Run a WCAG 2.1 AA accessibility audit on a design or page. Trigger with \"audit accessibility\", \"check a11y\", \"is this accessible?\", or when reviewing a design for color contrast, keyboard navigation, touch target size, or screen reader behavior before handoff.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[668,671,672],{"name":669,"slug":670,"type":16},"Accessibility","accessibility",{"name":483,"slug":484,"type":16},{"name":673,"slug":674,"type":16},"WCAG","wcag","2026-04-06T17:58:05.682394",{"slug":677,"name":677,"fn":678,"description":679,"org":680,"tags":681,"stars":29,"repoUrl":30,"updatedAt":685},"account-research","research accounts for sales intel","Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with \"research [company]\", \"look up [person]\", \"intel on [prospect]\", \"who is [name] at [company]\", or \"tell me about [company]\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[682,683,684],{"name":18,"slug":19,"type":16},{"name":14,"slug":15,"type":16},{"name":21,"slug":22,"type":16},"2026-04-06T17:56:41.410418",{"slug":687,"name":687,"fn":688,"description":689,"org":690,"tags":691,"stars":29,"repoUrl":30,"updatedAt":701},"analyze","answer data questions and run analyses","Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[692,695,698],{"name":693,"slug":694,"type":16},"Analytics","analytics",{"name":696,"slug":697,"type":16},"Data Analysis","data-analysis",{"name":699,"slug":700,"type":16},"SQL","sql","2026-04-06T17:57:21.593647",{"slug":703,"name":703,"fn":704,"description":705,"org":706,"tags":707,"stars":29,"repoUrl":30,"updatedAt":717},"architecture","create and evaluate architecture decision records","Create or evaluate an architecture decision record (ADR). Use when choosing between technologies (e.g., Kafka vs SQS), documenting a design decision with trade-offs and consequences, reviewing a system design proposal, or designing a new component from requirements and constraints.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[708,711,713,714],{"name":709,"slug":710,"type":16},"ADR","adr",{"name":712,"slug":703,"type":16},"Architecture",{"name":546,"slug":547,"type":16},{"name":715,"slug":716,"type":16},"Engineering","engineering","2026-04-06T17:57:49.26444",{"slug":719,"name":719,"fn":720,"description":721,"org":722,"tags":723,"stars":29,"repoUrl":30,"updatedAt":736},"audit-support","support SOX 404 control testing","Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[724,727,730,733],{"name":725,"slug":726,"type":16},"Audit","audit",{"name":728,"slug":729,"type":16},"Finance","finance",{"name":731,"slug":732,"type":16},"Regulatory Compliance","regulatory-compliance",{"name":734,"slug":735,"type":16},"SOX","sox","2026-04-06T17:57:36.714815",{"slug":738,"name":738,"fn":739,"description":740,"org":741,"tags":742,"stars":29,"repoUrl":30,"updatedAt":748},"brand-review","review content against brand voice","Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before\u002Fafter fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[743,744,747],{"name":501,"slug":502,"type":16},{"name":745,"slug":746,"type":16},"Marketing","marketing",{"name":604,"slug":605,"type":16},"2026-04-06T17:58:19.548331",{"slug":750,"name":750,"fn":751,"description":752,"org":753,"tags":754,"stars":29,"repoUrl":30,"updatedAt":761},"brand-voice-enforcement","enforce brand voice in content","This skill applies brand guidelines to content creation. It should be used when the user asks to \"write an email\", \"draft a proposal\", \"create a pitch deck\", \"write a LinkedIn post\", \"draft a presentation\", \"write a Slack message\", \"draft sales content\", or any content creation request where brand voice should be applied. Also triggers on \"on-brand\", \"brand voice\", \"enforce voice\", \"apply brand guidelines\", \"brand-aligned content\", \"write in our voice\", \"use our brand tone\", \"make this sound like us\", \"rewrite this in our tone\", or \"this doesn't sound on-brand\". Not for generating guidelines from scratch (use guideline-generation) or discovering brand materials (use discover-brand).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[755,756,757,760],{"name":501,"slug":502,"type":16},{"name":600,"slug":601,"type":16},{"name":758,"slug":759,"type":16},"Content Creation","content-creation",{"name":604,"slug":605,"type":16},"2026-04-06T18:00:23.528956",200]