[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-posthog-managing-experiment-lifecycle":3,"mdc--ex5omm-key":38,"related-repo-posthog-managing-experiment-lifecycle":1586,"related-org-posthog-managing-experiment-lifecycle":1706},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":33,"sourceUrl":36,"mdContent":37},"managing-experiment-lifecycle","manage PostHog experiment lifecycles","Guides experiment state transitions: launching, pausing, resuming, freezing\u002Funfreezing exposure, ending, shipping variants, archiving, resetting, duplicating, and copying to another project. Covers preconditions, implications for variant assignment and analysis, and the decision framework for when to use each action.\nTRIGGER when: user asks to launch, pause, resume, end, ship, archive, reset, duplicate, or copy an experiment to another project, or to freeze\u002Funfreeze exposure (stop enrolling new users while metrics keep flowing, or reopen enrollment).\nDO NOT TRIGGER when: user is creating an experiment (use creating-experiments), configuring rollout (use configuring-experiment-rollout), or setting up metrics (use configuring-experiment-analytics).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"posthog","PostHog","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fposthog.png",[12,16,17,20],{"name":13,"slug":14,"type":15},"Operations","operations","tag",{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},"Product Management","product-management",{"name":21,"slug":22,"type":15},"A\u002FB Testing","a-b-testing",59,"https:\u002F\u002Fgithub.com\u002FPostHog\u002Fai-plugin","2026-07-24T05:36:55.200817",null,11,[29,30,31,32],"claude-code-plugin","codex-plugin","cursor-plugin","gemini-cli-extension",{"repoUrl":24,"stars":23,"forks":27,"topics":34,"description":35},[29,30,31,32],"Official PostHog plugin for Claude Code, Cursor, Gemini, Codex and other AI coding tools","https:\u002F\u002Fgithub.com\u002FPostHog\u002Fai-plugin\u002Ftree\u002FHEAD\u002Fskills\u002Fmanaging-experiment-lifecycle","---\nname: managing-experiment-lifecycle\ndescription: \"Guides experiment state transitions: launching, pausing, resuming, freezing\u002Funfreezing exposure, ending, shipping variants, archiving, resetting, duplicating, and copying to another project. Covers preconditions, implications for variant assignment and analysis, and the decision framework for when to use each action.\\nTRIGGER when: user asks to launch, pause, resume, end, ship, archive, reset, duplicate, or copy an experiment to another project, or to freeze\u002Funfreeze exposure (stop enrolling new users while metrics keep flowing, or reopen enrollment).\\nDO NOT TRIGGER when: user is creating an experiment (use creating-experiments), configuring rollout (use configuring-experiment-rollout), or setting up metrics (use configuring-experiment-analytics).\"\n---\n\n# Managing experiment lifecycle\n\nThis skill covers experiment state transitions — what each action does, when to use it, and how it affects variant assignment and analysis.\n\n## State diagram\n\n```text\ndraft ──launch──▶ running ──end──▶ stopped ──archive──▶ archived\n                  │ │   ▲              │\n                  │ pause resume  ship_variant\n                  │ │   │         (also ends if running)\n                  │ ▼   │\n                  │ paused (flag inactive, still \"running\" status)\n                  │\n                  ├─freeze_exposure──▶ exposure_frozen ──unfreeze_exposure──▶ running\n                  │                    (enrollment closed, metrics keep flowing)\n\nAny non-draft state ──reset──▶ draft\n```\n\n## Actions and their implications\n\nFor each action, the two key questions:\n\n1. **Who sees what variant?** (user perspective)\n2. **Who is in my analysis?** (statistical perspective)\n\n### Launch (`experiment-launch`)\n\nTransitions draft → running. Activates the feature flag and sets `start_date`.\n\n- **Preconditions**: must be in draft, flag needs 2-20 multivariate variants (no specific key required; the baseline defaults to \"control\" when present, else the first variant)\n- **Pre-launch checklist**: has at least one metric? Variants correct? Flag implemented in code?\n- **Variants**: users start being bucketed into variants based on the configured split\n- **Analysis**: data collection begins from `start_date`\n\nNo request body needed.\n\n### Pause (`experiment-pause`)\n\nDeactivates the feature flag. Users fall back to the default experience (typically control).\n\n- **Preconditions**: must be running and not already paused\n- **Variants**: flag is not returned by `\u002Fdecide` — no new exposure events recorded\n- **Analysis**: no new data while paused, but existing data is preserved. Experiment stays \"running\".\n\nNo request body. Use `experiment-resume` to reactivate.\n\n### Resume (`experiment-resume`)\n\nReactivates the feature flag after a pause. Users are re-bucketed deterministically into the same variants.\n\n- **Preconditions**: must be paused\n- **Variants**: same assignment as before pause — deterministic bucketing\n- **Analysis**: exposure tracking resumes\n\nNo request body.\n\n### Freeze exposure (`experiment-freeze-exposure`)\n\nStops enrolling **new** users while everything else keeps going: already-enrolled users keep their variant, metrics keep flowing, and `end_date` stays null.\nSnapshots the already-exposed users into a static cohort and narrows every release condition on the feature flag to that cohort.\nStatus becomes `exposure_frozen`.\n\nUse for long-horizon metrics (revenue, LTV, retention, renewals) when the sample is big enough and you want to stop adding users without stopping measurement.\nNeither end nor pause fits that job: end stops measurement at `end_date`, and pause deactivates the flag for everyone.\n\n- **Preconditions**: must be running (not draft, stopped, paused, or already frozen), flag linked and not deleted, at least one release condition\n- **Variants**: enrolled users keep their variant (deterministic bucketing); new users no longer match the flag\n- **Analysis**: exposures stop growing (a flat exposure curve is expected), but metric data keeps accumulating for enrolled users\n\n**Timing**: the exposure scan and cohort snapshot run synchronously inside the API call, and duration scales with the number of exposed persons — an experiment with tens of thousands of exposed users can take on the order of tens of seconds.\nSet expectations with the user, wait for the response, and don't treat a slow call as a failure or retry it.\n\n**Not applicable (400) for**:\n\n- **Group-aggregated experiments** — the flag targets groups, not persons, and a person cohort can't freeze group-based matching\n- **Experiments in a holdout** — holdout assignment is evaluated before release conditions, so new users would keep entering the holdout\n- **Flags with early access conditions** — also evaluated before release conditions, so freezing can't stop new enrollment\n- **Mostly-anonymous exposure** (e.g. experiments on logged-out surfaces) — anonymous \"personless\" users can never match a person cohort and would silently lose their variant, so freezes with more than a small unresolved share are rejected\n- **Very large exposed sets** — the exposure scan is bounded by a person cap and a timeout; over either bound the API returns a clean 400 rather than freezing\n\nWhen a freeze is rejected, explain which limitation applies rather than retrying — these are structural, not transient.\n\n**Interactions with other actions**: ship-variant and reset strip the freeze (both also delete the snapshot cohort); end does NOT touch the flag, so ending a frozen experiment leaves the flag narrowed to the snapshot cohort.\nSDKs using local evaluation can't resolve static cohorts, so a frozen flag evaluates via the `\u002Fdecide` endpoint (standard static-cohort behavior).\nExposures ingested in the final moments before freezing may miss the snapshot (ingestion lag).\n\nNo request body. Use `experiment-unfreeze-exposure` to reopen enrollment.\n\n### Unfreeze exposure (`experiment-unfreeze-exposure`)\n\nReopens enrollment on an exposure-frozen experiment.\nRemoves the snapshot-cohort condition and freeze markers from every release group, restoring the flag's original targeting, and deletes the snapshot cohort.\nStatus returns to `running`.\n\n- **Preconditions**: exposure must be frozen (and the experiment not ended)\n- **Variants**: enrolled users keep their variant; new users can enroll again under the original release conditions\n- **Analysis**: exposures resume growing\n\n**Can introduce bias**: reopening enrollment re-exposes the flag to a potentially new population.\nUsers who enrolled before the freeze and those who enroll after the unfreeze joined at different times, and possibly under different conditions — mixing the two cohorts in one analysis can bias the results.\nWarn the user before unfreezing, especially after a long freeze or if the audience or product changed in between. If they only wanted to sanity-check the frozen results, they may not need to unfreeze at all.\n\nNo request body.\n\n### End (`experiment-end`)\n\nSets `end_date` and transitions to stopped. The feature flag is **NOT modified**.\n\n- **Preconditions**: must be running (launched, not already stopped)\n- **Variants**: users continue seeing assigned variants (flag stays active)\n- **Analysis**: results frozen to data up to `end_date`\n\nOptional body: `conclusion` (\"won\", \"lost\", \"inconclusive\", \"stopped_early\", \"invalid\") and `conclusion_comment`.\n\nUse this when you want to freeze results without changing what users see.\nIf the experiment's exposure was frozen, ending does not strip the freeze — the flag stays narrowed to the snapshot cohort (unfreeze first, or ship a variant, if that's not desired).\n\n### Ship variant (`experiment-ship-variant`)\n\nRewrites the feature flag so the selected variant is served to 100% of users.\n\n- **Preconditions**: must be launched (running or stopped). Cannot ship from draft.\n- **Variants**: ALL users see the shipped variant. The flag is rewritten with a catch-all group.\n- **Analysis**: if still running, the experiment is also ended (end_date set)\n\n**Always confirm with the user before shipping** — this permanently rewrites the feature flag.\n\nRequired: `variant_key` (e.g. \"test\"). Optional: `conclusion`, `conclusion_comment`.\n\nReturns 409 if an approval policy requires review before the flag change.\n\n### Archive (`experiment-archive`)\n\nHides a stopped experiment from the default list view.\n\n- **Preconditions**: must be stopped (end_date set)\n- **Variants**: no change — flag is unaffected\n- **Analysis**: no change — results remain accessible\n\nNo request body. Can be restored by setting `archived=false` via `experiment-update`.\n\n### Reset (`experiment-reset`)\n\nReturns an experiment to draft state. Clears `start_date`, `end_date`, `conclusion`, and `archived`.\n\n- **Preconditions**: must not already be in draft\n- **Variants**: flag is left unchanged — users continue seeing assigned variants\n- **Analysis**: previously collected data still exists but won't be included in results unless `start_date` is adjusted after re-launch\n\nNo request body.\n\n### Duplicate (`experiment-duplicate`)\n\nCreates a copy as a new draft with fresh dates and no results.\n\n**Important**: always provide a unique `feature_flag_key` different from the original. If the same key is used, both experiments share a flag — changes to one affect both.\n\nOptional: custom `name` (defaults to \"Original Name (Copy)\").\n\n### Copy to project (`experiment-copy-to-project`)\n\nCopies an experiment into a **different project in the same organization** as a new draft. Use this instead of\n`experiment-duplicate` when the copy should land in another project; use duplicate when it stays in the same project.\n\n- **Preconditions**: source must not use legacy metrics; target project must be in the same organization and you must\n  have write access to it. Cannot copy across organizations or regions.\n- **What's copied**: name, description, type, parameters, filters, primary\u002Fsecondary metrics (fresh uuids), stats and\n  scheduling config, exposure criteria. **Not copied**: saved-metric references (project-scoped), holdout, exposure\n  cohort, dates, results, conclusion.\n- **Feature flag**: `target_team_id` is required; `feature_flag_key` is optional. The resolved key is then looked up\n  **in the target project**, and the lookup result — not whether you passed the key — decides what happens:\n  - **If `feature_flag_key` is omitted**: it defaults to the _source_ experiment's flag key. That key normally\n    doesn't exist in the target project, so a new flag with it is created there. (The default can still collide — see\n    the next point — so to be safe, pass an explicit key.)\n  - **If the resolved key already exists as a flag in the target project**: the copy **shares** that existing flag\n    instead of creating one. Both experiments then point at the same flag, so lifecycle ops (ship, pause) on either\n    affect both. The existing flag must be multivariate with 2-20 variants, otherwise the call returns 400.\n  - **If the resolved key does not exist in the target project**: a new, independent flag is created with that key.\n    To guarantee independence, pass a `feature_flag_key` that doesn't already exist in the target.\n\n**Confirm the source experiment and target project by name before calling** — this writes into a project the user\nisn't looking at. The returned experiment (and its id) belongs to the target project.\n\n## Decision framework\n\n| Situation                                          | Action                   | Tool                           |\n| -------------------------------------------------- | ------------------------ | ------------------------------ |\n| Draft ready, flag implemented, metrics set         | Launch                   | `experiment-launch`            |\n| Clear winner, significant results                  | Ship the winning variant | `experiment-ship-variant`      |\n| No significant difference after sufficient time    | End as inconclusive      | `experiment-end`               |\n| Something wrong, need to stop exposure temporarily | Pause                    | `experiment-pause`             |\n| Resume after pause                                 | Resume                   | `experiment-resume`            |\n| Stop enrolling new users, keep measuring enrolled  | Freeze exposure          | `experiment-freeze-exposure`   |\n| Reopen enrollment after a freeze                   | Unfreeze exposure        | `experiment-unfreeze-exposure` |\n| Experiment ended, ready to clean up                | Archive                  | `experiment-archive`           |\n| Need to start over with same config                | Reset to draft           | `experiment-reset`             |\n| Want a similar experiment with a fresh start       | Duplicate                | `experiment-duplicate`         |\n| Want the same experiment in a different project    | Copy to another project  | `experiment-copy-to-project`   |\n\n## Resolving experiments\n\nAll lifecycle actions require an experiment ID. If you don't have one, load the\n`finding-experiments` skill to resolve the user's reference (name, description,\n\"latest\", etc.) to a concrete ID before proceeding.\n\n## Error handling\n\n| Error message                                                     | Meaning                              |\n| ----------------------------------------------------------------- | ------------------------------------ |\n| \"Experiment has already been launched.\"                           | Can't launch a non-draft experiment  |\n| \"Experiment has not been launched yet.\"                           | Can't end\u002Fpause\u002Fship a draft         |\n| \"Experiment has already ended.\"                                   | Can't end\u002Fpause a stopped experiment |\n| \"Experiment is already paused.\"                                   | Use resume instead                   |\n| \"Experiment is not paused.\"                                       | It's already active                  |\n| \"Experiment is already in draft state.\"                           | Nothing to reset                     |\n| \"Experiment is already archived.\"                                 | Already done                         |\n| \"Experiment exposure is already frozen.\"                          | Nothing to freeze                    |\n| \"Experiment exposure is not frozen.\"                              | Nothing to unfreeze                  |\n| \"Cannot freeze a paused experiment. Resume it first.\"             | Resume, then freeze                  |\n| \"Group-aggregated experiments cannot have their exposure frozen.\" | Structural limitation — don't retry  |\n\nWhen you get a 400, explain the situation to the user rather than retrying.\n",{"data":39,"body":40},{"name":4,"description":6},{"type":41,"children":42},"root",[43,51,57,64,77,83,88,114,129,142,191,196,209,214,252,265,277,282,312,317,330,357,369,399,409,419,472,477,494,506,518,530,560,570,574,587,605,640,660,665,678,683,713,723,749,754,767,772,802,822,835,866,903,907,920,925,943,956,969,988,1111,1121,1127,1391,1397,1410,1416,1581],{"type":44,"tag":45,"props":46,"children":47},"element","h1",{"id":4},[48],{"type":49,"value":50},"text","Managing experiment lifecycle",{"type":44,"tag":52,"props":53,"children":54},"p",{},[55],{"type":49,"value":56},"This skill covers experiment state transitions — what each action does, when to use it, and how it affects variant assignment and analysis.",{"type":44,"tag":58,"props":59,"children":61},"h2",{"id":60},"state-diagram",[62],{"type":49,"value":63},"State diagram",{"type":44,"tag":65,"props":66,"children":71},"pre",{"className":67,"code":69,"language":49,"meta":70},[68],"language-text","draft ──launch──▶ running ──end──▶ stopped ──archive──▶ archived\n                  │ │   ▲              │\n                  │ pause resume  ship_variant\n                  │ │   │         (also ends if running)\n                  │ ▼   │\n                  │ paused (flag inactive, still \"running\" status)\n                  │\n                  ├─freeze_exposure──▶ exposure_frozen ──unfreeze_exposure──▶ running\n                  │                    (enrollment closed, metrics keep flowing)\n\nAny non-draft state ──reset──▶ draft\n","",[72],{"type":44,"tag":73,"props":74,"children":75},"code",{"__ignoreMap":70},[76],{"type":49,"value":69},{"type":44,"tag":58,"props":78,"children":80},{"id":79},"actions-and-their-implications",[81],{"type":49,"value":82},"Actions and their implications",{"type":44,"tag":52,"props":84,"children":85},{},[86],{"type":49,"value":87},"For each action, the two key questions:",{"type":44,"tag":89,"props":90,"children":91},"ol",{},[92,104],{"type":44,"tag":93,"props":94,"children":95},"li",{},[96,102],{"type":44,"tag":97,"props":98,"children":99},"strong",{},[100],{"type":49,"value":101},"Who sees what variant?",{"type":49,"value":103}," (user perspective)",{"type":44,"tag":93,"props":105,"children":106},{},[107,112],{"type":44,"tag":97,"props":108,"children":109},{},[110],{"type":49,"value":111},"Who is in my analysis?",{"type":49,"value":113}," (statistical perspective)",{"type":44,"tag":115,"props":116,"children":118},"h3",{"id":117},"launch-experiment-launch",[119,121,127],{"type":49,"value":120},"Launch (",{"type":44,"tag":73,"props":122,"children":124},{"className":123},[],[125],{"type":49,"value":126},"experiment-launch",{"type":49,"value":128},")",{"type":44,"tag":52,"props":130,"children":131},{},[132,134,140],{"type":49,"value":133},"Transitions draft → running. Activates the feature flag and sets ",{"type":44,"tag":73,"props":135,"children":137},{"className":136},[],[138],{"type":49,"value":139},"start_date",{"type":49,"value":141},".",{"type":44,"tag":143,"props":144,"children":145},"ul",{},[146,156,166,176],{"type":44,"tag":93,"props":147,"children":148},{},[149,154],{"type":44,"tag":97,"props":150,"children":151},{},[152],{"type":49,"value":153},"Preconditions",{"type":49,"value":155},": must be in draft, flag needs 2-20 multivariate variants (no specific key required; the baseline defaults to \"control\" when present, else the first variant)",{"type":44,"tag":93,"props":157,"children":158},{},[159,164],{"type":44,"tag":97,"props":160,"children":161},{},[162],{"type":49,"value":163},"Pre-launch checklist",{"type":49,"value":165},": has at least one metric? Variants correct? 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Experiment stays \"running\".",{"type":44,"tag":52,"props":253,"children":254},{},[255,257,263],{"type":49,"value":256},"No request body. Use ",{"type":44,"tag":73,"props":258,"children":260},{"className":259},[],[261],{"type":49,"value":262},"experiment-resume",{"type":49,"value":264}," to reactivate.",{"type":44,"tag":115,"props":266,"children":268},{"id":267},"resume-experiment-resume",[269,271,276],{"type":49,"value":270},"Resume (",{"type":44,"tag":73,"props":272,"children":274},{"className":273},[],[275],{"type":49,"value":262},{"type":49,"value":128},{"type":44,"tag":52,"props":278,"children":279},{},[280],{"type":49,"value":281},"Reactivates the feature flag after a pause. 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The existing flag must be multivariate with 2-20 variants, otherwise the call returns 400.",{"type":44,"tag":93,"props":1095,"children":1096},{},[1097,1102,1104,1109],{"type":44,"tag":97,"props":1098,"children":1099},{},[1100],{"type":49,"value":1101},"If the resolved key does not exist in the target project",{"type":49,"value":1103},": a new, independent flag is created with that key.\nTo guarantee independence, pass a ",{"type":44,"tag":73,"props":1105,"children":1107},{"className":1106},[],[1108],{"type":49,"value":940},{"type":49,"value":1110}," that doesn't already exist in the target.",{"type":44,"tag":52,"props":1112,"children":1113},{},[1114,1119],{"type":44,"tag":97,"props":1115,"children":1116},{},[1117],{"type":49,"value":1118},"Confirm the source experiment and target project by name before calling",{"type":49,"value":1120}," — this writes into a project the user\nisn't looking at. The returned experiment (and its id) belongs to the target project.",{"type":44,"tag":58,"props":1122,"children":1124},{"id":1123},"decision-framework",[1125],{"type":49,"value":1126},"Decision framework",{"type":44,"tag":1128,"props":1129,"children":1130},"table",{},[1131,1155],{"type":44,"tag":1132,"props":1133,"children":1134},"thead",{},[1135],{"type":44,"tag":1136,"props":1137,"children":1138},"tr",{},[1139,1145,1150],{"type":44,"tag":1140,"props":1141,"children":1142},"th",{},[1143],{"type":49,"value":1144},"Situation",{"type":44,"tag":1140,"props":1146,"children":1147},{},[1148],{"type":49,"value":1149},"Action",{"type":44,"tag":1140,"props":1151,"children":1152},{},[1153],{"type":49,"value":1154},"Tool",{"type":44,"tag":1156,"props":1157,"children":1158},"tbody",{},[1159,1181,1202,1223,1244,1265,1286,1307,1328,1349,1370],{"type":44,"tag":1136,"props":1160,"children":1161},{},[1162,1168,1173],{"type":44,"tag":1163,"props":1164,"children":1165},"td",{},[1166],{"type":49,"value":1167},"Draft ready, flag implemented, metrics set",{"type":44,"tag":1163,"props":1169,"children":1170},{},[1171],{"type":49,"value":1172},"Launch",{"type":44,"tag":1163,"props":1174,"children":1175},{},[1176],{"type":44,"tag":73,"props":1177,"children":1179},{"className":1178},[],[1180],{"type":49,"value":126},{"type":44,"tag":1136,"props":1182,"children":1183},{},[1184,1189,1194],{"type":44,"tag":1163,"props":1185,"children":1186},{},[1187],{"type":49,"value":1188},"Clear winner, significant results",{"type":44,"tag":1163,"props":1190,"children":1191},{},[1192],{"type":49,"value":1193},"Ship the winning variant",{"type":44,"tag":1163,"props":1195,"children":1196},{},[1197],{"type":44,"tag":73,"props":1198,"children":1200},{"className":1199},[],[1201],{"type":49,"value":676},{"type":44,"tag":1136,"props":1203,"children":1204},{},[1205,1210,1215],{"type":44,"tag":1163,"props":1206,"children":1207},{},[1208],{"type":49,"value":1209},"No significant difference after sufficient time",{"type":44,"tag":1163,"props":1211,"children":1212},{},[1213],{"type":49,"value":1214},"End as inconclusive",{"type":44,"tag":1163,"props":1216,"children":1217},{},[1218],{"type":44,"tag":73,"props":1219,"children":1221},{"className":1220},[],[1222],{"type":49,"value":585},{"type":44,"tag":1136,"props":1224,"children":1225},{},[1226,1231,1236],{"type":44,"tag":1163,"props":1227,"children":1228},{},[1229],{"type":49,"value":1230},"Something wrong, need to stop exposure temporarily",{"type":44,"tag":1163,"props":1232,"children":1233},{},[1234],{"type":49,"value":1235},"Pause",{"type":44,"tag":1163,"props":1237,"children":1238},{},[1239],{"type":44,"tag":73,"props":1240,"children":1242},{"className":1241},[],[1243],{"type":49,"value":207},{"type":44,"tag":1136,"props":1245,"children":1246},{},[1247,1252,1257],{"type":44,"tag":1163,"props":1248,"children":1249},{},[1250],{"type":49,"value":1251},"Resume after pause",{"type":44,"tag":1163,"props":1253,"children":1254},{},[1255],{"type":49,"value":1256},"Resume",{"type":44,"tag":1163,"props":1258,"children":1259},{},[1260],{"type":44,"tag":73,"props":1261,"children":1263},{"className":1262},[],[1264],{"type":49,"value":262},{"type":44,"tag":1136,"props":1266,"children":1267},{},[1268,1273,1278],{"type":44,"tag":1163,"props":1269,"children":1270},{},[1271],{"type":49,"value":1272},"Stop enrolling new users, keep measuring enrolled",{"type":44,"tag":1163,"props":1274,"children":1275},{},[1276],{"type":49,"value":1277},"Freeze exposure",{"type":44,"tag":1163,"props":1279,"children":1280},{},[1281],{"type":44,"tag":73,"props":1282,"children":1284},{"className":1283},[],[1285],{"type":49,"value":328},{"type":44,"tag":1136,"props":1287,"children":1288},{},[1289,1294,1299],{"type":44,"tag":1163,"props":1290,"children":1291},{},[1292],{"type":49,"value":1293},"Reopen enrollment after a freeze",{"type":44,"tag":1163,"props":1295,"children":1296},{},[1297],{"type":49,"value":1298},"Unfreeze exposure",{"type":44,"tag":1163,"props":1300,"children":1301},{},[1302],{"type":44,"tag":73,"props":1303,"children":1305},{"className":1304},[],[1306],{"type":49,"value":503},{"type":44,"tag":1136,"props":1308,"children":1309},{},[1310,1315,1320],{"type":44,"tag":1163,"props":1311,"children":1312},{},[1313],{"type":49,"value":1314},"Experiment ended, ready to clean up",{"type":44,"tag":1163,"props":1316,"children":1317},{},[1318],{"type":49,"value":1319},"Archive",{"type":44,"tag":1163,"props":1321,"children":1322},{},[1323],{"type":44,"tag":73,"props":1324,"children":1326},{"className":1325},[],[1327],{"type":49,"value":765},{"type":44,"tag":1136,"props":1329,"children":1330},{},[1331,1336,1341],{"type":44,"tag":1163,"props":1332,"children":1333},{},[1334],{"type":49,"value":1335},"Need to start over with same config",{"type":44,"tag":1163,"props":1337,"children":1338},{},[1339],{"type":49,"value":1340},"Reset to draft",{"type":44,"tag":1163,"props":1342,"children":1343},{},[1344],{"type":44,"tag":73,"props":1345,"children":1347},{"className":1346},[],[1348],{"type":49,"value":833},{"type":44,"tag":1136,"props":1350,"children":1351},{},[1352,1357,1362],{"type":44,"tag":1163,"props":1353,"children":1354},{},[1355],{"type":49,"value":1356},"Want a similar experiment with a fresh start",{"type":44,"tag":1163,"props":1358,"children":1359},{},[1360],{"type":49,"value":1361},"Duplicate",{"type":44,"tag":1163,"props":1363,"children":1364},{},[1365],{"type":44,"tag":73,"props":1366,"children":1368},{"className":1367},[],[1369],{"type":49,"value":918},{"type":44,"tag":1136,"props":1371,"children":1372},{},[1373,1378,1383],{"type":44,"tag":1163,"props":1374,"children":1375},{},[1376],{"type":49,"value":1377},"Want the same experiment in a different project",{"type":44,"tag":1163,"props":1379,"children":1380},{},[1381],{"type":49,"value":1382},"Copy to another project",{"type":44,"tag":1163,"props":1384,"children":1385},{},[1386],{"type":44,"tag":73,"props":1387,"children":1389},{"className":1388},[],[1390],{"type":49,"value":967},{"type":44,"tag":58,"props":1392,"children":1394},{"id":1393},"resolving-experiments",[1395],{"type":49,"value":1396},"Resolving experiments",{"type":44,"tag":52,"props":1398,"children":1399},{},[1400,1402,1408],{"type":49,"value":1401},"All lifecycle actions require an experiment ID. If you don't have one, load the\n",{"type":44,"tag":73,"props":1403,"children":1405},{"className":1404},[],[1406],{"type":49,"value":1407},"finding-experiments",{"type":49,"value":1409}," skill to resolve the user's reference (name, description,\n\"latest\", etc.) to a concrete ID before proceeding.",{"type":44,"tag":58,"props":1411,"children":1413},{"id":1412},"error-handling",[1414],{"type":49,"value":1415},"Error handling",{"type":44,"tag":1128,"props":1417,"children":1418},{},[1419,1435],{"type":44,"tag":1132,"props":1420,"children":1421},{},[1422],{"type":44,"tag":1136,"props":1423,"children":1424},{},[1425,1430],{"type":44,"tag":1140,"props":1426,"children":1427},{},[1428],{"type":49,"value":1429},"Error message",{"type":44,"tag":1140,"props":1431,"children":1432},{},[1433],{"type":49,"value":1434},"Meaning",{"type":44,"tag":1156,"props":1436,"children":1437},{},[1438,1451,1464,1477,1490,1503,1516,1529,1542,1555,1568],{"type":44,"tag":1136,"props":1439,"children":1440},{},[1441,1446],{"type":44,"tag":1163,"props":1442,"children":1443},{},[1444],{"type":49,"value":1445},"\"Experiment has already been launched.\"",{"type":44,"tag":1163,"props":1447,"children":1448},{},[1449],{"type":49,"value":1450},"Can't launch a non-draft experiment",{"type":44,"tag":1136,"props":1452,"children":1453},{},[1454,1459],{"type":44,"tag":1163,"props":1455,"children":1456},{},[1457],{"type":49,"value":1458},"\"Experiment has not been launched yet.\"",{"type":44,"tag":1163,"props":1460,"children":1461},{},[1462],{"type":49,"value":1463},"Can't end\u002Fpause\u002Fship a draft",{"type":44,"tag":1136,"props":1465,"children":1466},{},[1467,1472],{"type":44,"tag":1163,"props":1468,"children":1469},{},[1470],{"type":49,"value":1471},"\"Experiment has already ended.\"",{"type":44,"tag":1163,"props":1473,"children":1474},{},[1475],{"type":49,"value":1476},"Can't end\u002Fpause a stopped experiment",{"type":44,"tag":1136,"props":1478,"children":1479},{},[1480,1485],{"type":44,"tag":1163,"props":1481,"children":1482},{},[1483],{"type":49,"value":1484},"\"Experiment is already paused.\"",{"type":44,"tag":1163,"props":1486,"children":1487},{},[1488],{"type":49,"value":1489},"Use resume instead",{"type":44,"tag":1136,"props":1491,"children":1492},{},[1493,1498],{"type":44,"tag":1163,"props":1494,"children":1495},{},[1496],{"type":49,"value":1497},"\"Experiment is not paused.\"",{"type":44,"tag":1163,"props":1499,"children":1500},{},[1501],{"type":49,"value":1502},"It's already active",{"type":44,"tag":1136,"props":1504,"children":1505},{},[1506,1511],{"type":44,"tag":1163,"props":1507,"children":1508},{},[1509],{"type":49,"value":1510},"\"Experiment is already in draft state.\"",{"type":44,"tag":1163,"props":1512,"children":1513},{},[1514],{"type":49,"value":1515},"Nothing to reset",{"type":44,"tag":1136,"props":1517,"children":1518},{},[1519,1524],{"type":44,"tag":1163,"props":1520,"children":1521},{},[1522],{"type":49,"value":1523},"\"Experiment is already archived.\"",{"type":44,"tag":1163,"props":1525,"children":1526},{},[1527],{"type":49,"value":1528},"Already done",{"type":44,"tag":1136,"props":1530,"children":1531},{},[1532,1537],{"type":44,"tag":1163,"props":1533,"children":1534},{},[1535],{"type":49,"value":1536},"\"Experiment exposure is already frozen.\"",{"type":44,"tag":1163,"props":1538,"children":1539},{},[1540],{"type":49,"value":1541},"Nothing to freeze",{"type":44,"tag":1136,"props":1543,"children":1544},{},[1545,1550],{"type":44,"tag":1163,"props":1546,"children":1547},{},[1548],{"type":49,"value":1549},"\"Experiment exposure is not frozen.\"",{"type":44,"tag":1163,"props":1551,"children":1552},{},[1553],{"type":49,"value":1554},"Nothing to unfreeze",{"type":44,"tag":1136,"props":1556,"children":1557},{},[1558,1563],{"type":44,"tag":1163,"props":1559,"children":1560},{},[1561],{"type":49,"value":1562},"\"Cannot freeze a paused experiment. Resume it first.\"",{"type":44,"tag":1163,"props":1564,"children":1565},{},[1566],{"type":49,"value":1567},"Resume, then freeze",{"type":44,"tag":1136,"props":1569,"children":1570},{},[1571,1576],{"type":44,"tag":1163,"props":1572,"children":1573},{},[1574],{"type":49,"value":1575},"\"Group-aggregated experiments cannot have their exposure frozen.\"",{"type":44,"tag":1163,"props":1577,"children":1578},{},[1579],{"type":49,"value":1580},"Structural limitation — don't retry",{"type":44,"tag":52,"props":1582,"children":1583},{},[1584],{"type":49,"value":1585},"When you get a 400, explain the situation to the user rather than retrying.",{"items":1587,"total":1705},[1588,1605,1621,1638,1655,1669,1687],{"slug":1589,"name":1589,"fn":1590,"description":1591,"org":1592,"tags":1593,"stars":23,"repoUrl":24,"updatedAt":1604},"analyzing-experiment-session-replays","analyze session replays for PostHog experiments","Analyze session replay patterns across experiment variants to understand user behavior differences. Use when the user wants to see how users interact with different experiment variants, identify usability issues, compare behavior patterns between control and test groups, or get qualitative insights to complement quantitative experiment results.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1594,1597,1600,1601],{"name":1595,"slug":1596,"type":15},"Analytics","analytics",{"name":1598,"slug":1599,"type":15},"Design","design",{"name":9,"slug":8,"type":15},{"name":1602,"slug":1603,"type":15},"User Research","user-research","2026-04-06T18:44:38.291781",{"slug":1606,"name":1606,"fn":1607,"description":1608,"org":1609,"tags":1610,"stars":23,"repoUrl":24,"updatedAt":1620},"assessing-heatmaps","analyze page heatmaps and suggest improvements","Assesses what a page's heatmap is telling you and recommends concrete changes. Pulls click \u002F rageclick \u002F scroll-depth data for a URL, names the hot elements by cross-referencing autocapture events on the same page, and can create a saved heatmap the user opens in PostHog, then summarizes the behavior and proposes improvements.\nTRIGGER when: user asks what a heatmap shows, why people aren't clicking something, where users rage-click, how far they scroll, what to change on a page based on heatmap\u002Fclick data, or to 'analyze\u002Fassess\u002Freview the heatmap' for a URL.\nDO NOT TRIGGER when: the user only wants to create a saved heatmap screenshot with no analysis (use heatmaps-saved-create directly), or is asking about session replay in general (use investigating-replay).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1611,1612,1615,1616,1617],{"name":1595,"slug":1596,"type":15},{"name":1613,"slug":1614,"type":15},"Frontend","frontend",{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},{"name":1618,"slug":1619,"type":15},"UX Design","ux-design","2026-06-05T07:40:43.37798",{"slug":1622,"name":1622,"fn":1623,"description":1624,"org":1625,"tags":1626,"stars":23,"repoUrl":24,"updatedAt":1637},"auditing-experiments-flags","audit PostHog experiments and feature flags","Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check, or review experiments or feature flags, check flag hygiene, or verify experiment setup.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1627,1630,1633,1634],{"name":1628,"slug":1629,"type":15},"Audit","audit",{"name":1631,"slug":1632,"type":15},"Feature Flags","feature-flags",{"name":9,"slug":8,"type":15},{"name":1635,"slug":1636,"type":15},"QA","qa","2026-04-06T18:44:30.657553",{"slug":1639,"name":1639,"fn":1640,"description":1641,"org":1642,"tags":1643,"stars":23,"repoUrl":24,"updatedAt":1654},"authoring-scouts","author and edit PostHog Signals scouts","How to author, edit, and adapt PostHog Signals scouts — the scheduled agents that scan a project and write reports into the Signals inbox. Use when a user wants to customize a canonical scout for their own setup (narrow its scope, retune its thresholds, add disqualifiers), tweak a scout's schedule or dry-run posture, or write a brand-new scout from scratch for a specific use case (a custom event, a product surface no canonical scout covers), or steer a scout without editing it at all by leaving it a note. Covers the scout SKILL.md anatomy, the report contract, the dedupe + scratchpad-memory conventions, the scout-notes steering channel, the per-team skills-store path vs the canonical in-repo path, and the write-and-inspect test loop (with dry-run as an optional safety net). Trigger on \"write\u002Fedit\u002Fcustomize a signals scout\", \"new scout for X\", \"tune my scout schedule\", \"make a scout that watches \u003Cevent>\", \"leave a note for \u002F give feedback to a scout\", \"tell the scouts about X\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1644,1647,1650,1653],{"name":1645,"slug":1646,"type":15},"Agents","agents",{"name":1648,"slug":1649,"type":15},"Automation","automation",{"name":1651,"slug":1652,"type":15},"Observability","observability",{"name":9,"slug":8,"type":15},"2026-07-28T05:33:45.509154",{"slug":1656,"name":1656,"fn":1657,"description":1658,"org":1659,"tags":1660,"stars":23,"repoUrl":24,"updatedAt":1668},"building-a-dashboard","build and update PostHog dashboards","Build a new dashboard, or update an existing one, from a set of insights — the same job the in-app assistant does with its upsert-dashboard tool, but over MCP. Use when a user asks to create a dashboard, put several metrics\u002Fcharts together on one page, assemble a dashboard for a topic (product analytics, retention, revenue, activation, etc.), or add\u002Fremove\u002Freplace insights on a dashboard they already have. Covers deciding create vs update, reusing existing insights vs creating new ones, and using PostHog's vetted dashboard templates as reference for what a strong dashboard on a topic looks like.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1661,1662,1665],{"name":1595,"slug":1596,"type":15},{"name":1663,"slug":1664,"type":15},"Dashboards","dashboards",{"name":1666,"slug":1667,"type":15},"MCP","mcp","2026-07-21T06:07:38.060598",{"slug":1670,"name":1670,"fn":1671,"description":1672,"org":1673,"tags":1674,"stars":23,"repoUrl":24,"updatedAt":1686},"checking-deploy-timing","correlate PostHog deployments with GitHub commits","Determine when a PostHog code change reached a given environment by reading the hidden GIT deploy annotations in the project and correlating them with the merge commit on GitHub. Use when PostHog staff ask \"when was X deployed\", \"is my change live in the US\u002FEU yet\", \"has my PR shipped\", \"did the fix roll out to prod-us\", or otherwise want to know whether\u002Fwhen a commit, PR, or feature went out to a region. Do not answer deploy-timing questions from event\u002Fdata volume alone — that only shows when data changed, not when code shipped.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1675,1678,1681,1684,1685],{"name":1676,"slug":1677,"type":15},"Deployment","deployment",{"name":1679,"slug":1680,"type":15},"Git","git",{"name":1682,"slug":1683,"type":15},"GitHub","github",{"name":1651,"slug":1652,"type":15},{"name":9,"slug":8,"type":15},"2026-06-28T07:46:59.53536",{"slug":1688,"name":1688,"fn":1689,"description":1690,"org":1691,"tags":1692,"stars":23,"repoUrl":24,"updatedAt":1704},"choosing-trend-or-slope-view","visualize trends and growth over time","Clarify how to visualize change over a time range before building a trend. Use whenever the user asks how much something changed, grew, dropped, improved, or regressed between two points or periods — \"how much did X change from A to B\", \"before vs after\", \"start vs end\", \"week over week\", \"compare this month to last\", \"change over time\" — or mentions a \"slope chart\" \u002F \"slopegraph\". Two readings of \"change\" need different charts: the whole trend (a line, every interval) versus just the two endpoints (a slope, start vs end). Ask which they want, then render it. Not for choosing a saved insight ChartDisplayType in the insight editor.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1693,1694,1697,1700,1701],{"name":1595,"slug":1596,"type":15},{"name":1695,"slug":1696,"type":15},"Charts","charts",{"name":1698,"slug":1699,"type":15},"Data Visualization","data-visualization",{"name":9,"slug":8,"type":15},{"name":1702,"slug":1703,"type":15},"Reporting","reporting","2026-06-18T08:18:57.960157",56,{"items":1707,"total":1864},[1708,1723,1733,1746,1759,1774,1788,1801,1813,1828,1838,1854],{"slug":1709,"name":1709,"fn":1710,"description":1711,"org":1712,"tags":1713,"stars":1720,"repoUrl":1721,"updatedAt":1722},"analyzing-expensive-users","analyze expensive users in AI observability","Analyze the most expensive users in AI observability and explain why they cost so much. Use when the user asks about top spenders, expensive users, per-user LLM cost, user-level cost drivers, or patterns behind high AI observability spend.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1714,1715,1718,1719],{"name":1595,"slug":1596,"type":15},{"name":1716,"slug":1717,"type":15},"Cost Optimization","cost-optimization",{"name":1651,"slug":1652,"type":15},{"name":9,"slug":8,"type":15},35568,"https:\u002F\u002Fgithub.com\u002FPostHog\u002Fposthog","2026-07-28T05:34:11.117757",{"slug":1724,"name":1724,"fn":1725,"description":1726,"org":1727,"tags":1728,"stars":1720,"repoUrl":1721,"updatedAt":1732},"auditing-endpoints","audit PostHog project endpoints","Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions. Use when the user asks \"what endpoints can I clean up?\", \"are any of my endpoints broken?\", \"which materialised versions are still being called?\", or wants a one-shot cleanup pass over the Endpoints product. Produces a prioritised report grouped by issue type, with recommended actions but does not modify anything without explicit confirmation.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1729,1730,1731],{"name":1595,"slug":1596,"type":15},{"name":1628,"slug":1629,"type":15},{"name":9,"slug":8,"type":15},"2026-06-08T08:08:33.693989",{"slug":1734,"name":1734,"fn":1735,"description":1736,"org":1737,"tags":1738,"stars":1720,"repoUrl":1721,"updatedAt":1745},"auditing-warehouse-source-health","audit PostHog data warehouse source health","Audit the health of a PostHog project's data warehouse sources and syncs — find every broken or degraded source connection, sync schema, and webhook channel. Use when the user asks \"why are my imports failing?\", \"what's broken with my sources?\", \"why is my warehouse data stale?\", or wants a one-shot triage of source\u002Fsync health before deciding where to dig in. Produces a prioritized report grouped by severity, with recommended next steps. For materialized-view health use `auditing-warehouse-view-health`; for a single failing sync use `diagnosing-failed-warehouse-syncs`.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1739,1740,1743,1744],{"name":1628,"slug":1629,"type":15},{"name":1741,"slug":1742,"type":15},"Data Warehouse","data-warehouse",{"name":1651,"slug":1652,"type":15},{"name":9,"slug":8,"type":15},"2026-06-18T08:22:57.67984",{"slug":1747,"name":1747,"fn":1748,"description":1749,"org":1750,"tags":1751,"stars":1720,"repoUrl":1721,"updatedAt":1758},"auditing-warehouse-view-health","audit PostHog materialized view health","Audit the health of a PostHog project's materialized views (saved queries) — find every failed materialization and flag unused or stale materialized views that cost storage and compute. Use when the user asks \"which of my views are broken?\", \"why is this materialized view failing?\", \"are any of my views wasting compute?\", or wants a one-shot triage of view health. For source\u002Fsync health use `auditing-warehouse-source-health`.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1752,1753,1754,1757],{"name":1628,"slug":1629,"type":15},{"name":1741,"slug":1742,"type":15},{"name":1755,"slug":1756,"type":15},"Performance","performance",{"name":9,"slug":8,"type":15},"2026-06-18T08:25:10.936787",{"slug":1760,"name":1760,"fn":1761,"description":1762,"org":1763,"tags":1764,"stars":1720,"repoUrl":1721,"updatedAt":1773},"authoring-error-tracking-alerts","author PostHog error tracking alerts","Author error tracking alerts that fire when an issue is created, reopened, or starts spiking. Use when the user asks to set up error notifications, route exceptions to Slack\u002Fwebhook\u002FLinear, or evaluate which error events are worth alerting on. Covers trigger-event selection, integration choice, dedup against existing alerts, and shipping with the canonical message body shape.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1765,1768,1771,1772],{"name":1766,"slug":1767,"type":15},"Alerting","alerting",{"name":1769,"slug":1770,"type":15},"Debugging","debugging",{"name":1651,"slug":1652,"type":15},{"name":9,"slug":8,"type":15},"2026-06-18T08:24:40.318583",{"slug":1775,"name":1775,"fn":1776,"description":1777,"org":1778,"tags":1779,"stars":1720,"repoUrl":1721,"updatedAt":1787},"authoring-log-alerts","author log alerts in PostHog","Author useful, low-noise log alerts on services in a PostHog project. Use when the user asks to set up alerts for their logs, suggest alerts they should add, or evaluate whether a service is worth monitoring. Covers service triage, baseline characterisation, threshold drafting, back-testing via simulate, and shipping with a notification destination.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1780,1781,1784,1785,1786],{"name":1595,"slug":1596,"type":15},{"name":1782,"slug":1783,"type":15},"Monitoring","monitoring",{"name":1651,"slug":1652,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-07-18T05:10:54.430898",{"slug":1789,"name":1789,"fn":1790,"description":1791,"org":1792,"tags":1793,"stars":1720,"repoUrl":1721,"updatedAt":1800},"building-workflows","build and edit PostHog workflows","Build, edit, test, enable, and monitor PostHog workflows over MCP. Author the action\u002Fedge graph so it runs and opens cleanly in the visual editor, then change drafts surgically with patch operations. Use when asked to build, set up, automate, change, fix, or debug a workflow, campaign, broadcast, drip sequence, or event-triggered automation in the workflows product.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1794,1795,1796,1797],{"name":1648,"slug":1649,"type":15},{"name":1666,"slug":1667,"type":15},{"name":9,"slug":8,"type":15},{"name":1798,"slug":1799,"type":15},"Workflow Automation","workflow-automation","2026-07-28T05:34:12.167015",{"slug":1802,"name":1802,"fn":1803,"description":1804,"org":1805,"tags":1806,"stars":1720,"repoUrl":1721,"updatedAt":1812},"check-posthog-loading","inspect PostHog SDK loading across URLs","Inspect how the PostHog JavaScript SDK is loaded across a list of URLs. Use to confirm consistent installation across pages, find pages missing the snippet, detect mismatched API keys or hosts between pages, and verify the load method (head snippet vs deferred vs array.js).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1807,1808,1809,1810,1811],{"name":1595,"slug":1596,"type":15},{"name":1769,"slug":1770,"type":15},{"name":1613,"slug":1614,"type":15},{"name":1651,"slug":1652,"type":15},{"name":9,"slug":8,"type":15},"2026-05-07T05:56:19.828048",{"slug":1814,"name":1814,"fn":1815,"description":1816,"org":1817,"tags":1818,"stars":1720,"repoUrl":1721,"updatedAt":1827},"consuming-endpoints-from-client-code","integrate PostHog endpoints into client applications","Wire a PostHog endpoint into a client app or SDK. Covers fetching the OpenAPI spec, generating a typed client with openapi-generator or @hey-api\u002Fopenapi-ts, sending the right auth header, shaping the variables payload (HogQL code_name vs insight breakdown property), handling rate-limit and materialised-endpoint error responses. Use when the user says \"how do I call my endpoint\", \"generate a client for this\", or \"what auth header do I use\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1819,1822,1823,1824],{"name":1820,"slug":1821,"type":15},"API Development","api-development",{"name":1613,"slug":1614,"type":15},{"name":9,"slug":8,"type":15},{"name":1825,"slug":1826,"type":15},"SDK","sdk","2026-06-08T08:08:34.929454",{"slug":1829,"name":1829,"fn":1830,"description":1831,"org":1832,"tags":1833,"stars":1720,"repoUrl":1721,"updatedAt":1837},"copying-endpoints-across-projects","copy PostHog endpoints across projects","Copy a PostHog endpoint (a saved HogQL\u002Finsight query exposed as an API route) to another project in the same organization, or duplicate it under a new name in the same project. Use when the user wants to duplicate an endpoint, promote an endpoint from staging to production, replicate an endpoint's query\u002Fvariables\u002Ffreshness config in another workspace, or clone an endpoint to iterate on it. Unlike feature flags and experiments, endpoints have NO native cross-project copy tool — this skill covers the read-then-recreate flow (endpoint-get then endpoint-create), the active-project switching it requires, name-collision checks, and the safe defaults (land unmaterialised in the target, verify with endpoint-run). Does not cover editing endpoint versions (see managing-endpoint-versions) or authoring a brand-new endpoint from scratch (see creating-an-endpoint).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1834,1835,1836],{"name":1820,"slug":1821,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-07-15T05:29:58.442727",{"slug":1839,"name":1839,"fn":1840,"description":1841,"org":1842,"tags":1843,"stars":1720,"repoUrl":1721,"updatedAt":1853},"creating-ai-subscription","schedule recurring AI-generated PostHog reports","Create a recurring AI-generated PostHog report — schedule a free-text prompt to run on a cron, with the LLM-synthesized markdown delivered to email or Slack on each tick. Use when the user wants a recurring AI summary of X on any cadence (daily, weekly, monthly, yearly) rather than a one-off report. (To attach an AI summary to an existing insight\u002Fdashboard subscription instead of a free-text prompt, see `managing-subscriptions` and its `summary_enabled` option.)\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1844,1845,1848,1849,1850],{"name":1648,"slug":1649,"type":15},{"name":1846,"slug":1847,"type":15},"Email","email",{"name":9,"slug":8,"type":15},{"name":1702,"slug":1703,"type":15},{"name":1851,"slug":1852,"type":15},"Slack","slack","2026-06-09T07:32:27.935712",{"slug":1855,"name":1855,"fn":1856,"description":1857,"org":1858,"tags":1859,"stars":1720,"repoUrl":1721,"updatedAt":1863},"creating-an-endpoint","create PostHog API endpoints","Create a PostHog endpoint with the right shape on the first try — covers query kind choice, name conventions, what to expose as variables (HogQL code_name vs insight breakdown), data_freshness_seconds, and whether to materialise on day one. Use when the user says \"create an endpoint\", \"expose this query as an API\", \"turn this insight into an endpoint\", or asks for help structuring a new endpoint. Steers away from common mistakes: materialising a query with cohort breakdowns or compare mode, inline-only variables on a materialised endpoint, unbounded date ranges, ambiguous names.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1860,1861,1862],{"name":1595,"slug":1596,"type":15},{"name":1820,"slug":1821,"type":15},{"name":9,"slug":8,"type":15},"2026-06-08T08:08:29.624498",231]