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Triggers on search, indexing, analytics, Algolia, recommendations, MCP.\nlicense: MIT\nmetadata:\n  author: algolia\n  version: \"1.0\"\n---\n\n# Algolia Search & Analytics\n\n> **Need to write\u002Fmodify data?** Use **algolia-cli** instead — it handles imports, exports, backups, settings changes, synonyms, rules, API keys, and all admin operations.\n\n## Connection setup\n\nUse `\u002Falgolia-mcp:mcp-connect` to configure the MCP client with the Algolia MCP server.\nFor manual client setup, see [connection-setup](references\u002Fconnection-setup.md).\n\n## Tool selection\n\n### Search\n\n| Task                   | Tool                              |\n|------------------------|-----------------------------------|\n| Search an index        | `algolia_search_index`            |\n| List available indices | `algolia_search_list_indices`     |\n| Explore facet values   | `algolia_search_for_facet_values` |\n\n### Analytics\n\n| Task                     | Tool                                            |\n|--------------------------|-------------------------------------------------|\n| Top searches             | `algolia_analytics_top_searches`                |\n| Searches with no results | `algolia_analytics_searches_no_results`         |\n| No-results rate          | `algolia_analytics_no_results_rate`             |\n| Click positions          | `algolia_analytics_click_positions`             |\n| No-click rate            | `algolia_analytics_no_click_rate`               |\n| Searches without clicks  | `algolia_analytics_top_searches_without_clicks` |\n| Search volume            | `algolia_analytics_number_of_searches`          |\n| Top search results       | `algolia_analytics_top_search_results`          |\n| Unique users             | `algolia_analytics_number_of_users`             |\n| Top filters              | `algolia_analytics_top_filters`                 |\n| Filters with no results  | `algolia_analytics_top_filters_no_results`      |\n| Top countries            | `algolia_analytics_top_countries`               |\n\n### Recommendations\n\n| Task                       | Tool                      | `model` parameter  |\n|----------------------------|---------------------------|--------------------|\n| Frequently bought together | `algolia_recommendations` | `bought-together`  |\n| Related products           | `algolia_recommendations` | `related-products` |\n| Trending items             | `algolia_recommendations` | `trending-items`   |\n| Trending facets            | `algolia_recommendations` | `trending-facets`  |\n| Visually similar items     | `algolia_recommendations` | `looking-similar`  |\n\n## Search Filter Syntax\n\nFilters go in the `algolia_search_index` call alongside `query`:\n\n**facetFilters** (array-based):\n```\n[[\"color:red\", \"color:blue\"]]              → OR (red OR blue)\n[[\"brand:Nike\"], [\"category:running\"]]     → AND (Nike AND running)\n[[\"size:10\"], [\"color:red\", \"color:blue\"]] → mixed (size 10 AND (red OR blue))\n```\nEach inner array is OR'd; outer arrays are AND'd.\n\n**numericFilters** (string-based):\n```\n[\"price \u003C 100\"]                    → single condition\n[\"price >= 50\", \"price \u003C= 200\"]    → range (AND'd)\n```\n\n**Date filtering**: Dates must be stored as Unix timestamps. Use `numericFilters: [\"timestamp >= 1704067200\"]`.\n\n**Attribute selection**: Use `attributesToRetrieve: [\"name\", \"price\"]` to limit response size.\n\n## Analytics Key Details\n\n- **`clickAnalytics: true`**: Set this on `algolia_analytics_top_searches` or `algolia_analytics_top_search_results` to include CTR, conversion rate, and click count. Only these two tools support it.\n- **`revenueAnalytics: true`**: Set on the same tools to also include add-to-cart rate, purchase rate, and revenue.\n- **Data delay**: Recent data has a 1–4 hour processing delay. Use date ranges ending at least 4 hours ago for complete data.\n\n### Interpreting Results\n\n| No-results rate | Assessment |\n|----------------|------------|\n| \u003C 5% | Excellent |\n| 5–10% | Good |\n| 10–20% | Needs improvement |\n| > 20% | Poor |\n\n**Click positions**: Healthy = 30–40% of clicks at position 1, decreasing through 10. Even distribution = poor relevance. Concentrated at positions 5–10 = ranking issues.\n\n**Low CTR + high search volume** = poor result relevance. Common causes: missing synonyms, content gaps, mismatched query intent.\n\n## Recommendation Thresholds\n\n| Threshold | Behavior |\n|-----------|----------|\n| 50 | More results, lower relevance |\n| **60** | **Balanced (good default)** |\n| 75 | Fewer results, higher relevance |\n\n**Model parameter requirements**:\n- `bought-together`, `related-products`, `looking-similar` → require `objectID`\n- `trending-items` → does NOT require `objectID`. Use `facetName` + `facetValue` to filter by category\n- `trending-facets` → requires `facetName`\n\n## Required Workflow\n\n1. **Discover first**: Always call `algolia_search_list_indices` before other tools to resolve `applicationId` and `indexName`. The `applicationId` parameter is an enum — select from the values in the tool schema, never guess.\n2. **Index names are case-sensitive**: Use the exact name returned by `algolia_search_list_indices`.\n3. **Date parameters**: Analytics tools accept `startDate` and `endDate` in `YYYY-MM-DD` format. Default period is the last 8 days.\n4. **Permissions**: Not all tools are available to every user. Analytics tools require the Analytics permission; recommendations require the Recommend feature.\n\n## Common Workflows\n\n### Search Quality Audit\n1. `algolia_search_list_indices` → get applicationId and index name\n2. `algolia_analytics_no_results_rate` → check overall health (\u003C 5% is excellent)\n3. `algolia_analytics_searches_no_results` → find the specific failing queries\n4. `algolia_analytics_top_searches` with `clickAnalytics: true` → find high-volume queries with low CTR\n5. `algolia_analytics_click_positions` → check if clicks are concentrated at position 1 (good) or spread evenly (poor relevance)\n6. For each problematic query: `algolia_search_index` with that query to see what results look like\n\n### Recommendation Setup Check\n1. `algolia_search_list_indices` → resolve applicationId\n2. Start with `trending-items` (requires least data) to verify Recommend is working\n3. Then try `bought-together` or `related-products` with a known product objectID\n4. If results are empty, check event volume requirements in [recommendations reference](references\u002Frecommendations.md)\n\n## Reference Docs\n\n- [connection-setup](references\u002Fconnection-setup.md) — MCP server configuration and authentication\n- [search](references\u002Fsearch.md) — Search parameters, filter syntax (`facetFilters`, `numericFilters`), pagination\n- [analytics](references\u002Fanalytics.md) — Analytics metrics interpretation, date ranges, click\u002Fconversion tracking\n- [recommendations](references\u002Frecommendations.md) — Recommendation models, thresholds, facet-based filtering\n- [troubleshooting](references\u002Ftroubleshooting.md) — Common errors and resolution 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Only these two tools support it.",{"type":48,"tag":706,"props":735,"children":736},{},[737,746],{"type":48,"tag":65,"props":738,"children":739},{},[740],{"type":48,"tag":92,"props":741,"children":743},{"className":742},[],[744],{"type":54,"value":745},"revenueAnalytics: true",{"type":54,"value":747},": Set on the same tools to also include add-to-cart rate, purchase rate, and revenue.",{"type":48,"tag":706,"props":749,"children":750},{},[751,756],{"type":48,"tag":65,"props":752,"children":753},{},[754],{"type":54,"value":755},"Data delay",{"type":54,"value":757},": Recent data has a 1–4 hour processing delay. Use date ranges ending at least 4 hours ago for complete data.",{"type":48,"tag":115,"props":759,"children":761},{"id":760},"interpreting-results",[762],{"type":54,"value":763},"Interpreting Results",{"type":48,"tag":120,"props":765,"children":766},{},[767,782],{"type":48,"tag":124,"props":768,"children":769},{},[770],{"type":48,"tag":128,"props":771,"children":772},{},[773,777],{"type":48,"tag":132,"props":774,"children":775},{},[776],{"type":54,"value":263},{"type":48,"tag":132,"props":778,"children":779},{},[780],{"type":54,"value":781},"Assessment",{"type":48,"tag":143,"props":783,"children":784},{},[785,798,811,824],{"type":48,"tag":128,"props":786,"children":787},{},[788,793],{"type":48,"tag":150,"props":789,"children":790},{},[791],{"type":54,"value":792},"\u003C 5%",{"type":48,"tag":150,"props":794,"children":795},{},[796],{"type":54,"value":797},"Excellent",{"type":48,"tag":128,"props":799,"children":800},{},[801,806],{"type":48,"tag":150,"props":802,"children":803},{},[804],{"type":54,"value":805},"5–10%",{"type":48,"tag":150,"props":807,"children":808},{},[809],{"type":54,"value":810},"Good",{"type":48,"tag":128,"props":812,"children":813},{},[814,819],{"type":48,"tag":150,"props":815,"children":816},{},[817],{"type":54,"value":818},"10–20%",{"type":48,"tag":150,"props":820,"children":821},{},[822],{"type":54,"value":823},"Needs improvement",{"type":48,"tag":128,"props":825,"children":826},{},[827,832],{"type":48,"tag":150,"props":828,"children":829},{},[830],{"type":54,"value":831},"> 20%",{"type":48,"tag":150,"props":833,"children":834},{},[835],{"type":54,"value":836},"Poor",{"type":48,"tag":61,"props":838,"children":839},{},[840,844],{"type":48,"tag":65,"props":841,"children":842},{},[843],{"type":54,"value":280},{"type":54,"value":845},": Healthy = 30–40% of clicks at position 1, decreasing through 10. Even distribution = poor relevance. Concentrated at positions 5–10 = ranking issues.",{"type":48,"tag":61,"props":847,"children":848},{},[849,854],{"type":48,"tag":65,"props":850,"children":851},{},[852],{"type":54,"value":853},"Low CTR + high search volume",{"type":54,"value":855}," = poor result relevance. Common causes: missing synonyms, content gaps, mismatched query intent.",{"type":48,"tag":80,"props":857,"children":859},{"id":858},"recommendation-thresholds",[860],{"type":54,"value":861},"Recommendation Thresholds",{"type":48,"tag":120,"props":863,"children":864},{},[865,881],{"type":48,"tag":124,"props":866,"children":867},{},[868],{"type":48,"tag":128,"props":869,"children":870},{},[871,876],{"type":48,"tag":132,"props":872,"children":873},{},[874],{"type":54,"value":875},"Threshold",{"type":48,"tag":132,"props":877,"children":878},{},[879],{"type":54,"value":880},"Behavior",{"type":48,"tag":143,"props":882,"children":883},{},[884,897,916],{"type":48,"tag":128,"props":885,"children":886},{},[887,892],{"type":48,"tag":150,"props":888,"children":889},{},[890],{"type":54,"value":891},"50",{"type":48,"tag":150,"props":893,"children":894},{},[895],{"type":54,"value":896},"More results, lower relevance",{"type":48,"tag":128,"props":898,"children":899},{},[900,908],{"type":48,"tag":150,"props":901,"children":902},{},[903],{"type":48,"tag":65,"props":904,"children":905},{},[906],{"type":54,"value":907},"60",{"type":48,"tag":150,"props":909,"children":910},{},[911],{"type":48,"tag":65,"props":912,"children":913},{},[914],{"type":54,"value":915},"Balanced (good default)",{"type":48,"tag":128,"props":917,"children":918},{},[919,924],{"type":48,"tag":150,"props":920,"children":921},{},[922],{"type":54,"value":923},"75",{"type":48,"tag":150,"props":925,"children":926},{},[927],{"type":54,"value":928},"Fewer results, higher relevance",{"type":48,"tag":61,"props":930,"children":931},{},[932,937],{"type":48,"tag":65,"props":933,"children":934},{},[935],{"type":54,"value":936},"Model parameter requirements",{"type":54,"value":613},{"type":48,"tag":702,"props":939,"children":940},{},[941,970,1003],{"type":48,"tag":706,"props":942,"children":943},{},[944,949,951,956,957,962,964],{"type":48,"tag":92,"props":945,"children":947},{"className":946},[],[948],{"type":54,"value":487},{"type":54,"value":950},", ",{"type":48,"tag":92,"props":952,"children":954},{"className":953},[],[955],{"type":54,"value":512},{"type":54,"value":950},{"type":48,"tag":92,"props":958,"children":960},{"className":959},[],[961],{"type":54,"value":587},{"type":54,"value":963}," → require ",{"type":48,"tag":92,"props":965,"children":967},{"className":966},[],[968],{"type":54,"value":969},"objectID",{"type":48,"tag":706,"props":971,"children":972},{},[973,978,980,985,987,993,995,1001],{"type":48,"tag":92,"props":974,"children":976},{"className":975},[],[977],{"type":54,"value":537},{"type":54,"value":979}," → does NOT require ",{"type":48,"tag":92,"props":981,"children":983},{"className":982},[],[984],{"type":54,"value":969},{"type":54,"value":986},". Use ",{"type":48,"tag":92,"props":988,"children":990},{"className":989},[],[991],{"type":54,"value":992},"facetName",{"type":54,"value":994}," + ",{"type":48,"tag":92,"props":996,"children":998},{"className":997},[],[999],{"type":54,"value":1000},"facetValue",{"type":54,"value":1002}," to filter by category",{"type":48,"tag":706,"props":1004,"children":1005},{},[1006,1011,1013],{"type":48,"tag":92,"props":1007,"children":1009},{"className":1008},[],[1010],{"type":54,"value":562},{"type":54,"value":1012}," → requires ",{"type":48,"tag":92,"props":1014,"children":1016},{"className":1015},[],[1017],{"type":54,"value":992},{"type":48,"tag":80,"props":1019,"children":1021},{"id":1020},"required-workflow",[1022],{"type":54,"value":1023},"Required Workflow",{"type":48,"tag":1025,"props":1026,"children":1027},"ol",{},[1028,1068,1084,1117],{"type":48,"tag":706,"props":1029,"children":1030},{},[1031,1036,1038,1043,1045,1051,1053,1059,1061,1066],{"type":48,"tag":65,"props":1032,"children":1033},{},[1034],{"type":54,"value":1035},"Discover first",{"type":54,"value":1037},": Always call ",{"type":48,"tag":92,"props":1039,"children":1041},{"className":1040},[],[1042],{"type":54,"value":180},{"type":54,"value":1044}," before other tools to resolve ",{"type":48,"tag":92,"props":1046,"children":1048},{"className":1047},[],[1049],{"type":54,"value":1050},"applicationId",{"type":54,"value":1052}," and ",{"type":48,"tag":92,"props":1054,"children":1056},{"className":1055},[],[1057],{"type":54,"value":1058},"indexName",{"type":54,"value":1060},". The ",{"type":48,"tag":92,"props":1062,"children":1064},{"className":1063},[],[1065],{"type":54,"value":1050},{"type":54,"value":1067}," parameter is an enum — select from the values in the tool schema, never guess.",{"type":48,"tag":706,"props":1069,"children":1070},{},[1071,1076,1078,1083],{"type":48,"tag":65,"props":1072,"children":1073},{},[1074],{"type":54,"value":1075},"Index names are case-sensitive",{"type":54,"value":1077},": Use the exact name returned by ",{"type":48,"tag":92,"props":1079,"children":1081},{"className":1080},[],[1082],{"type":54,"value":180},{"type":54,"value":107},{"type":48,"tag":706,"props":1085,"children":1086},{},[1087,1092,1094,1100,1101,1107,1109,1115],{"type":48,"tag":65,"props":1088,"children":1089},{},[1090],{"type":54,"value":1091},"Date parameters",{"type":54,"value":1093},": Analytics tools accept ",{"type":48,"tag":92,"props":1095,"children":1097},{"className":1096},[],[1098],{"type":54,"value":1099},"startDate",{"type":54,"value":1052},{"type":48,"tag":92,"props":1102,"children":1104},{"className":1103},[],[1105],{"type":54,"value":1106},"endDate",{"type":54,"value":1108}," in ",{"type":48,"tag":92,"props":1110,"children":1112},{"className":1111},[],[1113],{"type":54,"value":1114},"YYYY-MM-DD",{"type":54,"value":1116}," format. Default period is the last 8 days.",{"type":48,"tag":706,"props":1118,"children":1119},{},[1120,1125],{"type":48,"tag":65,"props":1121,"children":1122},{},[1123],{"type":54,"value":1124},"Permissions",{"type":54,"value":1126},": Not all tools are available to every user. Analytics tools require the Analytics permission; recommendations require the Recommend feature.",{"type":48,"tag":80,"props":1128,"children":1130},{"id":1129},"common-workflows",[1131],{"type":54,"value":1132},"Common Workflows",{"type":48,"tag":115,"props":1134,"children":1136},{"id":1135},"search-quality-audit",[1137],{"type":54,"value":1138},"Search Quality Audit",{"type":48,"tag":1025,"props":1140,"children":1141},{},[1142,1152,1162,1172,1189,1199],{"type":48,"tag":706,"props":1143,"children":1144},{},[1145,1150],{"type":48,"tag":92,"props":1146,"children":1148},{"className":1147},[],[1149],{"type":54,"value":180},{"type":54,"value":1151}," → get applicationId and index name",{"type":48,"tag":706,"props":1153,"children":1154},{},[1155,1160],{"type":48,"tag":92,"props":1156,"children":1158},{"className":1157},[],[1159],{"type":54,"value":272},{"type":54,"value":1161}," → check overall health (\u003C 5% is excellent)",{"type":48,"tag":706,"props":1163,"children":1164},{},[1165,1170],{"type":48,"tag":92,"props":1166,"children":1168},{"className":1167},[],[1169],{"type":54,"value":255},{"type":54,"value":1171}," → find the specific failing queries",{"type":48,"tag":706,"props":1173,"children":1174},{},[1175,1180,1182,1187],{"type":48,"tag":92,"props":1176,"children":1178},{"className":1177},[],[1179],{"type":54,"value":238},{"type":54,"value":1181}," with ",{"type":48,"tag":92,"props":1183,"children":1185},{"className":1184},[],[1186],{"type":54,"value":717},{"type":54,"value":1188}," → find high-volume queries with low CTR",{"type":48,"tag":706,"props":1190,"children":1191},{},[1192,1197],{"type":48,"tag":92,"props":1193,"children":1195},{"className":1194},[],[1196],{"type":54,"value":289},{"type":54,"value":1198}," → check if clicks are concentrated at position 1 (good) or spread evenly (poor relevance)",{"type":48,"tag":706,"props":1200,"children":1201},{},[1202,1204,1209],{"type":54,"value":1203},"For each problematic query: ",{"type":48,"tag":92,"props":1205,"children":1207},{"className":1206},[],[1208],{"type":54,"value":163},{"type":54,"value":1210}," with that query to see what results look like",{"type":48,"tag":115,"props":1212,"children":1214},{"id":1213},"recommendation-setup-check",[1215],{"type":54,"value":1216},"Recommendation Setup Check",{"type":48,"tag":1025,"props":1218,"children":1219},{},[1220,1230,1242,1260],{"type":48,"tag":706,"props":1221,"children":1222},{},[1223,1228],{"type":48,"tag":92,"props":1224,"children":1226},{"className":1225},[],[1227],{"type":54,"value":180},{"type":54,"value":1229}," → resolve applicationId",{"type":48,"tag":706,"props":1231,"children":1232},{},[1233,1235,1240],{"type":54,"value":1234},"Start with ",{"type":48,"tag":92,"props":1236,"children":1238},{"className":1237},[],[1239],{"type":54,"value":537},{"type":54,"value":1241}," (requires least data) to verify Recommend is working",{"type":48,"tag":706,"props":1243,"children":1244},{},[1245,1247,1252,1253,1258],{"type":54,"value":1246},"Then try ",{"type":48,"tag":92,"props":1248,"children":1250},{"className":1249},[],[1251],{"type":54,"value":487},{"type":54,"value":726},{"type":48,"tag":92,"props":1254,"children":1256},{"className":1255},[],[1257],{"type":54,"value":512},{"type":54,"value":1259}," with a known product objectID",{"type":48,"tag":706,"props":1261,"children":1262},{},[1263,1265],{"type":54,"value":1264},"If results are empty, check event volume requirements in ",{"type":48,"tag":101,"props":1266,"children":1268},{"href":1267},"references\u002Frecommendations.md",[1269],{"type":54,"value":1270},"recommendations reference",{"type":48,"tag":80,"props":1272,"children":1274},{"id":1273},"reference-docs",[1275],{"type":54,"value":1276},"Reference Docs",{"type":48,"tag":702,"props":1278,"children":1279},{},[1280,1289,1312,1322,1331],{"type":48,"tag":706,"props":1281,"children":1282},{},[1283,1287],{"type":48,"tag":101,"props":1284,"children":1285},{"href":103},[1286],{"type":54,"value":82},{"type":54,"value":1288}," — MCP server configuration and authentication",{"type":48,"tag":706,"props":1290,"children":1291},{},[1292,1297,1299,1304,1305,1310],{"type":48,"tag":101,"props":1293,"children":1295},{"href":1294},"references\u002Fsearch.md",[1296],{"type":54,"value":18},{"type":54,"value":1298}," — Search parameters, filter syntax (",{"type":48,"tag":92,"props":1300,"children":1302},{"className":1301},[],[1303],{"type":54,"value":621},{"type":54,"value":950},{"type":48,"tag":92,"props":1306,"children":1308},{"className":1307},[],[1309],{"type":54,"value":648},{"type":54,"value":1311},"), pagination",{"type":48,"tag":706,"props":1313,"children":1314},{},[1315,1320],{"type":48,"tag":101,"props":1316,"children":1318},{"href":1317},"references\u002Fanalytics.md",[1319],{"type":54,"value":21},{"type":54,"value":1321}," — Analytics metrics interpretation, date ranges, click\u002Fconversion tracking",{"type":48,"tag":706,"props":1323,"children":1324},{},[1325,1329],{"type":48,"tag":101,"props":1326,"children":1327},{"href":1267},[1328],{"type":54,"value":33},{"type":54,"value":1330}," — Recommendation models, thresholds, facet-based filtering",{"type":48,"tag":706,"props":1332,"children":1333},{},[1334,1340],{"type":48,"tag":101,"props":1335,"children":1337},{"href":1336},"references\u002Ftroubleshooting.md",[1338],{"type":54,"value":1339},"troubleshooting",{"type":54,"value":1341}," — Common errors and resolution steps",{"items":1343,"total":1509},[1344,1359,1376,1389,1404,1417,1430,1442,1458,1469,1480,1502],{"slug":1345,"name":1345,"fn":1346,"description":1347,"org":1348,"tags":1349,"stars":1356,"repoUrl":1357,"updatedAt":1358},"algolia-docsearch-mcp","search developer documentation with Algolia","Use this skill when the user asks about public developer documentation, SDKs, APIs, libraries, frameworks, setup, configuration, or code examples. Fetch current docs from Algolia DocSearch MCP and cite source URLs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1350,1351,1354,1355],{"name":9,"slug":8,"type":15},{"name":1352,"slug":1353,"type":15},"Documentation","documentation",{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},4365,"https:\u002F\u002Fgithub.com\u002Falgolia\u002Fdocsearch","2026-08-01T06:06:11.572314",{"slug":1360,"name":1360,"fn":1361,"description":1362,"org":1363,"tags":1364,"stars":25,"repoUrl":26,"updatedAt":1375},"algobot-cli","build conversational AI with Algolia","Use for anything AI\u002Fagent\u002Fconversational built on Algolia: algobot CLI, Agent Studio, RAG systems, conversational product discovery, genAI content generation from search results (carousels, descriptions, headers), chatbots or recommendation agents using Algolia as retrieval, config-as-code workflows, multi-environment deploy (dev\u002Fstaging\u002Fprod), memory and personalization, MCP tool integrations, conversation history \u002F GDPR retention, or adding a chat widget alongside InstantSearch. Trigger on: \"algobot\", \"Agent Studio\", \"RAG with Algolia\", \"conversational experience\", \"AI agent\" + Algolia, \"genAI carousel\", \"chat widget\", or building AI features on top of Algolia search. Do NOT use for raw index ops (records, synonyms, settings) — use algolia-cli. Do NOT use for pure frontend search UI (InstantSearch, autocomplete) with no AI\u002Fagent layer.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1365,1368,1371,1374],{"name":1366,"slug":1367,"type":15},"Agents","agents",{"name":1369,"slug":1370,"type":15},"Automation","automation",{"name":1372,"slug":1373,"type":15},"LLM","llm",{"name":17,"slug":18,"type":15},"2026-07-12T08:27:37.649724",{"slug":1377,"name":1377,"fn":1378,"description":1379,"org":1380,"tags":1381,"stars":25,"repoUrl":26,"updatedAt":1388},"algolia-agent-studio","build conversational agents with Algolia Agent Studio","Product-specific Algolia Agent Studio implementation, validation, and optimization guidance. Use when planning, building, integrating, or auditing Agent Studio agents, AI-powered conversational experiences, LLM provider setup, Algolia Search tools, client-side tools, MCP tools, memory, prompting, conversations, turn context, caching, analytics, feedback, authentication, approved domains, guardrails, or tool security. Do NOT use for live Agent Studio configuration, dry runs, publish\u002Fdeploy actions, or config-as-code operations; use the official algobot-cli skill instead. Do NOT use for generic non-Algolia RAG or chatbot architecture unless Agent Studio is the target product.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1382,1383,1386,1387],{"name":1366,"slug":1367,"type":15},{"name":1384,"slug":1385,"type":15},"AI","ai",{"name":9,"slug":8,"type":15},{"name":17,"slug":18,"type":15},"2026-08-01T06:06:28.033767",{"slug":1390,"name":1390,"fn":1391,"description":1392,"org":1393,"tags":1394,"stars":25,"repoUrl":26,"updatedAt":1403},"algolia-autocomplete","build Algolia autocomplete and query suggestions","Build and review Algolia Autocomplete and query suggestion experiences. Use when planning or implementing typeahead, query suggestions, recent searches, popular searches, federated autocomplete panels, product\u002Fcontent suggestions, detached mobile mode, plugins, keyboard navigation, insights events, or Autocomplete integration with InstantSearch. For net-new search or ecommerce builds, start with algolia-discovery-planning, which loads algolia-search-implementation so source strategy, data contract, and event taxonomy decisions are visible before autocomplete is marked ready. Do NOT use for full search results pages, browse pages, filters, pagination, or current refinements; use algolia-instantsearch-ui instead. Do NOT use for choosing between Algolia UI libraries; use algolia-ui-libraries. Do NOT use as the source of truth for current Autocomplete package APIs; use the official instantsearch skill and current docs alongside this customer-readiness skill.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1395,1396,1399,1400],{"name":9,"slug":8,"type":15},{"name":1397,"slug":1398,"type":15},"Frontend","frontend",{"name":17,"slug":18,"type":15},{"name":1401,"slug":1402,"type":15},"UI Components","ui-components","2026-08-01T06:06:29.968123",{"slug":76,"name":76,"fn":1405,"description":1406,"org":1407,"tags":1408,"stars":25,"repoUrl":26,"updatedAt":1416},"manage Algolia indices and accounts","Use this skill whenever a user wants to execute operations against Algolia indices or accounts — deleting records, copying\u002Fmigrating indices, backing up data, importing\u002Fexporting records, managing API keys, editing synonyms, configuring rules, changing settings like facets, clearing indices, or automating Algolia in CI\u002FCD pipelines. The key signal is that the user wants to *act on* their Algolia data or configuration (server-side \u002F backend \u002F admin operations), regardless of whether they mention \"CLI\" or \"command line.\" If someone names a specific Algolia index and wants to change, move, query, or manage it, use this skill. Do NOT use for frontend search UI work (InstantSearch, React components, autocomplete widgets), Algolia dashboard GUI questions, or evaluating Algolia vs. other providers.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1409,1412,1415],{"name":1410,"slug":1411,"type":15},"CLI","cli",{"name":1413,"slug":1414,"type":15},"Data Engineering","data-engineering",{"name":17,"slug":18,"type":15},"2026-07-12T08:27:35.085246",{"slug":1418,"name":1418,"fn":1419,"description":1420,"org":1421,"tags":1422,"stars":25,"repoUrl":26,"updatedAt":1429},"algolia-crawler","crawl websites into Algolia indices","Use this skill whenever a user wants to crawl one or more web pages or a whole site and turn them into an Algolia index using the Algolia CLI — especially for RAG, AI search, semantic search, or Agent Studio retrieval. Triggers: \"index my website\u002Fdocs with Algolia\", \"set up the Algolia Crawler\", \"crawl this page for RAG\", \"scrape my site into Algolia\", \"build a knowledge base for my AI agent from these URLs\", writing or debugging a crawler recordExtractor, or handling JavaScript-rendered pages that won't index. It guides ingestion end-to-end with `algolia crawler` commands: inspect the page, write a RAG-optimized recordExtractor, validate with `algolia crawler test` BEFORE indexing, apply index settings explicitly, then reindex. Do NOT use for building the chatbot\u002Fagent layer itself (use algobot-cli), raw record\u002Fsynonym\u002Fsettings ops on an existing index (use algolia-cli), frontend search UI (use instantsearch), or read-only search\u002Fanalytics (use algolia-mcp).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1423,1424,1425,1426],{"name":1369,"slug":1370,"type":15},{"name":1413,"slug":1414,"type":15},{"name":17,"slug":18,"type":15},{"name":1427,"slug":1428,"type":15},"Web Scraping","web-scraping","2026-07-12T08:27:40.981109",{"slug":1431,"name":1431,"fn":1432,"description":1433,"org":1434,"tags":1435,"stars":25,"repoUrl":26,"updatedAt":1441},"algolia-data-modeling","design Algolia data models and indices","Algolia data modeling and indexing guidance. Use before or alongside indexing records or building Algolia search UI for net-new search, browse, autocomplete, ecommerce, personalization, Dynamic Re-Ranking, recommendations, or analytics-aware implementations. Makes record shape, objectID, display fields, facets, ranking fields, and event attribution explicit decisions. Use for records, variants, SKUs, indices, replicas, searchable and faceting attributes, denormalization, merchandising fields, timestamps, inventory, event attribution, indexing pipelines, partial updates, secured data, multi-language or multi-region strategies, and migrations. Do NOT use for live imports, exports, record mutations, settings changes, or account actions; use algolia-cli or algolia-mcp. Do NOT use for frontend UI implementation; use algolia-instantsearch-ui, algolia-autocomplete, algolia-ui-libraries, or the official instantsearch skill.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1436,1437,1440],{"name":9,"slug":8,"type":15},{"name":1438,"slug":1439,"type":15},"Data Modeling","data-modeling",{"name":17,"slug":18,"type":15},"2026-08-01T06:06:01.500756",{"slug":1443,"name":1443,"fn":1444,"description":1445,"org":1446,"tags":1447,"stars":25,"repoUrl":26,"updatedAt":1457},"algolia-discovery-planning","plan and audit Algolia search implementations","START HERE for any non-trivial Algolia work — building, adding, migrating, redesigning, auditing, or configuring search, browse, autocomplete, indexing, relevance, recommendations, personalization, merchandising, events, or analytics. Invoke this FIRST even when the task already seems scoped or the user names one specific feature (e.g. \"add InstantSearch\", \"build a storefront search\"): its job is to map the request to the full Algolia implementation lifecycle and load every companion skill each in-scope phase needs (algolia-search-implementation, algolia-data-modeling, algolia-index-configuration, algolia-ui-libraries, algolia-instantsearch-ui, algolia-autocomplete, algolia-events-insights, algolia-neuralsearch, algolia-agent-studio, algolia-release-qa) rather than jumping straight into a single skill. This skill plans and orchestrates; the focused companion skills and the official Algolia skills execute. Do NOT use for live account inspection or write actions; use algolia-mcp or algolia-cli for those.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1448,1449,1450,1453,1456],{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":1451,"slug":1452,"type":15},"Configuration","configuration",{"name":1454,"slug":1455,"type":15},"Personalization","personalization",{"name":17,"slug":18,"type":15},"2026-08-01T06:06:03.021452",{"slug":1459,"name":1459,"fn":1460,"description":1461,"org":1462,"tags":1463,"stars":25,"repoUrl":26,"updatedAt":1468},"algolia-events-insights","instrument Algolia events for analytics","Algolia event instrumentation guidance for Insights, analytics, personalization, Dynamic Re-Ranking, Recommend, and merchandising feedback loops. Use for search, autocomplete, browse, ecommerce, personalization, recommendations, or analytics instrumentation. Makes event decisions explicit before an Algolia UI is considered ready. Use when implementing or auditing clickedObjectIDsAfterSearch, convertedObjectIDsAfterSearch, viewedObjectIDs, addedToCartObjectIDsAfterSearch, purchasedObjectIDsAfterSearch, userToken, queryID, eventName, eventSubtype, or frontend\u002Fbackend event pipelines. Do NOT use for live analytics retrieval, top-query inspection, or account-aware diagnostics; use algolia-mcp. Do NOT use for framework-specific InstantSearch or Autocomplete APIs; use the official instantsearch skill alongside this planning and validation skill.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1464,1465,1466,1467],{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":1454,"slug":1455,"type":15},{"name":17,"slug":18,"type":15},"2026-08-01T06:06:02.009712",{"slug":1470,"name":1470,"fn":1471,"description":1472,"org":1473,"tags":1474,"stars":25,"repoUrl":26,"updatedAt":1479},"algolia-index-configuration","configure Algolia index settings and relevance","Algolia index settings and relevance configuration guidance. Use when configuring searchableAttributes, attributesForFaceting, customRanking, ranking, replicas, virtual replicas, rules, synonyms, typo tolerance, distinct, filters, optional filters, merchandising, browse\u002Fcategory relevance, or A\u002FB-testable relevance changes. Do NOT use for live settings writes, backups, copies, or operational account tasks; use algolia-cli or algolia-mcp instead. Do NOT use for record-shape or variant strategy; use algolia-data-modeling instead.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1475,1476,1477,1478],{"name":9,"slug":8,"type":15},{"name":1451,"slug":1452,"type":15},{"name":1438,"slug":1439,"type":15},{"name":17,"slug":18,"type":15},"2026-08-01T06:06:34.19163",{"slug":1481,"name":1481,"fn":1482,"description":1483,"org":1484,"tags":1485,"stars":25,"repoUrl":26,"updatedAt":1501},"algolia-instantsearch-ui","build Algolia InstantSearch frontend experiences","Build and review Algolia InstantSearch experiences in JavaScript, React, Vue, Angular (via InstantSearch.js; Angular InstantSearch is deprecated), or compatible frontend stacks. Use when planning or reviewing search results pages, browse\u002Fcategory pages, routing, widgets, filters, facets, sort-by, pagination, infinite hits, current refinements, insights middleware, SSR, or UI-state synchronization. For net-new search UI builds, start with algolia-discovery-planning, which loads algolia-search-implementation so data contract and event taxonomy decisions are visible before UI is marked ready. Do NOT use for autocomplete\u002Ftypeahead experiences before the user commits to a results page; use algolia-autocomplete instead. Do NOT use for choosing between Algolia UI libraries; use algolia-ui-libraries. Do NOT use as the source of truth for current framework APIs or code-level implementation details; use the official instantsearch skill and current docs alongside this customer-readiness skill.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1486,1487,1490,1491,1494,1497,1498],{"name":9,"slug":8,"type":15},{"name":1488,"slug":1489,"type":15},"Angular","angular",{"name":1397,"slug":1398,"type":15},{"name":1492,"slug":1493,"type":15},"JavaScript","javascript",{"name":1495,"slug":1496,"type":15},"React","react",{"name":17,"slug":18,"type":15},{"name":1499,"slug":1500,"type":15},"Vue","vue","2026-08-01T06:06:33.66513",{"slug":4,"name":4,"fn":5,"description":6,"org":1503,"tags":1504,"stars":25,"repoUrl":26,"updatedAt":27},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1505,1506,1507,1508],{"name":20,"slug":21,"type":15},{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},19,{"items":1511,"total":1560},[1512,1519,1526,1533,1539,1546,1552],{"slug":1360,"name":1360,"fn":1361,"description":1362,"org":1513,"tags":1514,"stars":25,"repoUrl":26,"updatedAt":1375},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1515,1516,1517,1518],{"name":1366,"slug":1367,"type":15},{"name":1369,"slug":1370,"type":15},{"name":1372,"slug":1373,"type":15},{"name":17,"slug":18,"type":15},{"slug":1377,"name":1377,"fn":1378,"description":1379,"org":1520,"tags":1521,"stars":25,"repoUrl":26,"updatedAt":1388},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1522,1523,1524,1525],{"name":1366,"slug":1367,"type":15},{"name":1384,"slug":1385,"type":15},{"name":9,"slug":8,"type":15},{"name":17,"slug":18,"type":15},{"slug":1390,"name":1390,"fn":1391,"description":1392,"org":1527,"tags":1528,"stars":25,"repoUrl":26,"updatedAt":1403},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1529,1530,1531,1532],{"name":9,"slug":8,"type":15},{"name":1397,"slug":1398,"type":15},{"name":17,"slug":18,"type":15},{"name":1401,"slug":1402,"type":15},{"slug":76,"name":76,"fn":1405,"description":1406,"org":1534,"tags":1535,"stars":25,"repoUrl":26,"updatedAt":1416},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1536,1537,1538],{"name":1410,"slug":1411,"type":15},{"name":1413,"slug":1414,"type":15},{"name":17,"slug":18,"type":15},{"slug":1418,"name":1418,"fn":1419,"description":1420,"org":1540,"tags":1541,"stars":25,"repoUrl":26,"updatedAt":1429},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1542,1543,1544,1545],{"name":1369,"slug":1370,"type":15},{"name":1413,"slug":1414,"type":15},{"name":17,"slug":18,"type":15},{"name":1427,"slug":1428,"type":15},{"slug":1431,"name":1431,"fn":1432,"description":1433,"org":1547,"tags":1548,"stars":25,"repoUrl":26,"updatedAt":1441},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1549,1550,1551],{"name":9,"slug":8,"type":15},{"name":1438,"slug":1439,"type":15},{"name":17,"slug":18,"type":15},{"slug":1443,"name":1443,"fn":1444,"description":1445,"org":1553,"tags":1554,"stars":25,"repoUrl":26,"updatedAt":1457},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1555,1556,1557,1558,1559],{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":1451,"slug":1452,"type":15},{"name":1454,"slug":1455,"type":15},{"name":17,"slug":18,"type":15},18]