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We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.","https:\u002F\u002Fgithub.com\u002FPostHog\u002Fposthog\u002Ftree\u002FHEAD\u002Fproducts\u002Ferror_tracking\u002Fskills\u002Ftriaging-error-issues","---\nname: triaging-error-issues\ndescription: >\n  Triage PostHog error tracking issues during a daily or on-call review.\n  Use when the user asks \"what's broken?\", \"what new errors do we have?\",\n  \"show me top errors today\", \"what should I look at this morning\",\n  or wants a prioritized list of active issues to work on. Surfaces new\n  and high-impact issues, ranks by users affected and recency, points at\n  linked replays, and proposes next actions (investigate, assign, suppress,\n  merge).\n---\n\n# Triaging error tracking issues\n\nWhen a user asks \"what's broken?\" or wants a daily error review, the goal is a short\nprioritized list of issues worth a human's attention — not a dump of every active\nissue. Most projects have hundreds of active issues; the few that matter are usually\nnew (first seen in the last 24-48h), spiking, or affecting many distinct users.\n\n## Available tools\n\n| Tool                                        | Purpose                                                                   |\n| ------------------------------------------- | ------------------------------------------------------------------------- |\n| `posthog:query-error-tracking-issues-list`  | List + rank issues with aggregate metrics (occurrences, users, sessions)  |\n| `posthog:query-error-tracking-issue`        | Compact details for a single issue (status, assignee, top frame, release) |\n| `posthog:query-error-tracking-issue-events` | Sampled `$exception` events with stack, URL, browser, and `$session_id`   |\n| `posthog:query-session-recordings-list`     | Find replays of users hitting an issue                                    |\n| `posthog:inbox-reports-list`                | Pre-curated actionable signals if the project uses Inbox                  |\n\n## Workflow\n\n### Step 1 — Pick a window and a signal\n\nRead the time window from the user's wording. Defaults if unspecified:\n\n- \"Today\" \u002F \"this morning\" \u002F \"right now\" → `dateRange: { date_from: \"-24h\" }`\n- \"This week\" \u002F \"since Monday\" → `-7d`\n- On-call shift handoff → `-24h`\n\nPick what \"matters\" means:\n\n- **New issues** — `orderBy: \"first_seen\"`, `orderDirection: \"DESC\"`, tight window.\n  Catches regressions introduced by recent deploys.\n- **High-impact** — `orderBy: \"users\"` ranks by distinct users affected. Better than\n  raw occurrences for severity (one bot loop produces many occurrences but one user).\n- **Trending** — `orderBy: \"occurrences\"` over a short window vs a longer baseline\n  to spot spikes.\n\n### Step 2 — Pull the candidate list\n\nStart narrow and widen if too few issues come back:\n\n```json\nposthog:query-error-tracking-issues-list\n{\n  \"status\": \"active\",\n  \"orderBy\": \"users\",\n  \"orderDirection\": \"DESC\",\n  \"dateRange\": { \"date_from\": \"-24h\" },\n  \"limit\": 20,\n  \"volumeResolution\": 24\n}\n```\n\nMatch `volumeResolution` to the window (24 buckets for `-24h`, 14 for `-14d`, etc.)\nso each row's sparkline has enough resolution to show a spike vs flat steady state.\nA single bucket only gives a total, not a shape.\n\nFor new-issues-only, run a parallel query with `orderBy: \"first_seen\"`:\n\n```json\n{\n  \"status\": \"active\",\n  \"orderBy\": \"first_seen\",\n  \"orderDirection\": \"DESC\",\n  \"dateRange\": { \"date_from\": \"-24h\" },\n  \"limit\": 10\n}\n```\n\nIf a project mixes browser and server SDKs, the top-by-users list is usually drowned\nby server-side errors (each invocation often gets a fresh `distinct_id`). Narrow with\nthe `library` filter — values match the SDK's `$lib`, not the npm package name, examples:\n\n- `web` — posthog-js (browser)\n- `posthog-node`, `posthog-python`, `posthog-ruby`, `posthog-go`, `posthog-php`, `posthog-java`, `posthog-elixir` — server SDKs\n- `posthog-edge` — Cloudflare Workers \u002F edge runtime\n- `posthog-ios`, `posthog-android`, `posthog-react-native`, `posthog-flutter` — mobile\n\n### Step 3 — Filter the noise\n\nThe list will include known noise. Before presenting, drop or call out:\n\n- Issues whose volume is flat over the window — they're not new, the user already\n  lives with them. Surface them only if they're in the top by users.\n- Bot-only issues — if all events come from headless browsers or crawler user agents,\n  flag for suppression (`suppressing-noisy-errors`) instead of triage.\n\nIf unsure whether an issue is new vs. recurring, compare `first_seen` to the start\nof the window:\n\n- `first_seen` inside the window → new, worth attention\n- `first_seen` weeks ago but spiking now → regression worth attention\n- `first_seen` weeks ago, flat volume → background noise\n\n### Step 4 — Add context for the top items\n\nFor the top 3-5 candidates, pull a sample exception so the summary includes a stack\nframe and URL, not just a title. Use `posthog:query-error-tracking-issue-events` rather than\nraw SQL — it returns normalized fields (`$exception_types`, `$exception_values`,\n`$current_url`, browser\u002FOS, `$session_id`) and defaults to `onlyAppFrames: true` to\nstrip vendor noise from the stack:\n\n```json\nposthog:query-error-tracking-issue-events\n{\n  \"issueId\": \"\u003Cissue_id>\",\n  \"limit\": 1,\n  \"include\": [\"exception\", \"stacktrace\", \"environment\", \"navigation\", \"correlation\"]\n}\n```\n\nIf the user wants to see what users were doing, hand off to `finding-replay-for-issue`\nto pick the best linked recording. Don't fetch replays for every triaged issue — only\nthe ones the user asks to dig into.\n\n### Step 5 — Present the triage list\n\nLead with a one-line headline (\"3 new issues in last 24h, 1 spike, 5 active\nhigh-impact\"). Then a short table sorted by your chosen signal:\n\n| Issue | First seen | Users | Sessions | Sample message                    | Suggested action           |\n| ----- | ---------- | ----- | -------- | --------------------------------- | -------------------------- |\n| ...   | 2h ago     | 142   | 198      | `TypeError ... at checkout.js:42` | Investigate                |\n| ...   | spike      | 67    | 89       | `Network request failed`          | Watch — likely transient   |\n| ...   | 3d ago     | 12    | 12       | `chrome-extension:\u002F\u002F timeout`     | Suppress (extension noise) |\n\nFor each, suggest one of: **investigate** (`investigating-error-issue`), **assign**\n(`error-tracking-issues-partial-update`), **suppress** (`suppressing-noisy-errors`),\n**merge** (`grouping-noisy-errors`), or **resolve** if it's already known fixed.\n\n## Tips\n\n- A single deploy often surfaces several related new issues. If multiple new issues\n  share a `properties.$lib_version` (or `properties.$exception_releases` when the\n  SDK is configured to populate it), present them grouped — a rollback decision\n  rests on the cluster, not any one issue.\n- \"Users\" is the right severity proxy for user-facing apps. For backend services\n  without a real distinct_id concept, fall back to `sessions` or `occurrences`.\n- Don't auto-assign or auto-resolve as part of triage. Present the list and let the\n  user decide. Bulk actions belong in dedicated skills.\n- If the project uses Inbox (`posthog:inbox-reports-list`), check it first — PostHog\n  may have already curated the most actionable issues so you avoid re-deriving them.\n- Provide each row's `_posthogUrl` (returned on every issue row) so the user can jump\n  straight to the issue page if they want to drill down themselves. 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checkout.js:42",{"type":55,"tag":107,"props":1441,"children":1442},{},[1443],{"type":61,"value":1444},"Investigate",{"type":55,"tag":85,"props":1446,"children":1447},{},[1448,1452,1457,1462,1467,1476],{"type":55,"tag":107,"props":1449,"children":1450},{},[1451],{"type":61,"value":1415},{"type":55,"tag":107,"props":1453,"children":1454},{},[1455],{"type":61,"value":1456},"spike",{"type":55,"tag":107,"props":1458,"children":1459},{},[1460],{"type":61,"value":1461},"67",{"type":55,"tag":107,"props":1463,"children":1464},{},[1465],{"type":61,"value":1466},"89",{"type":55,"tag":107,"props":1468,"children":1469},{},[1470],{"type":55,"tag":111,"props":1471,"children":1473},{"className":1472},[],[1474],{"type":61,"value":1475},"Network request failed",{"type":55,"tag":107,"props":1477,"children":1478},{},[1479],{"type":61,"value":1480},"Watch — likely 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",{"type":55,"tag":272,"props":1522,"children":1523},{},[1524],{"type":61,"value":1525},"investigate",{"type":61,"value":1527}," (",{"type":55,"tag":111,"props":1529,"children":1531},{"className":1530},[],[1532],{"type":61,"value":1533},"investigating-error-issue",{"type":61,"value":1535},"), 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fixed.",{"type":55,"tag":70,"props":1585,"children":1587},{"id":1586},"tips",[1588],{"type":61,"value":1589},"Tips",{"type":55,"tag":223,"props":1591,"children":1592},{},[1593,1614,1635,1640,1652],{"type":55,"tag":227,"props":1594,"children":1595},{},[1596,1598,1604,1606,1612],{"type":61,"value":1597},"A single deploy often surfaces several related new issues. If multiple new issues\nshare a ",{"type":55,"tag":111,"props":1599,"children":1601},{"className":1600},[],[1602],{"type":61,"value":1603},"properties.$lib_version",{"type":61,"value":1605}," (or ",{"type":55,"tag":111,"props":1607,"children":1609},{"className":1608},[],[1610],{"type":61,"value":1611},"properties.$exception_releases",{"type":61,"value":1613}," when the\nSDK is configured to populate it), present them grouped — a rollback decision\nrests on the cluster, not any one issue.",{"type":55,"tag":227,"props":1615,"children":1616},{},[1617,1619,1625,1627,1633],{"type":61,"value":1618},"\"Users\" is the right severity proxy for user-facing apps. For backend services\nwithout a real distinct_id concept, fall back to ",{"type":55,"tag":111,"props":1620,"children":1622},{"className":1621},[],[1623],{"type":61,"value":1624},"sessions",{"type":61,"value":1626}," or ",{"type":55,"tag":111,"props":1628,"children":1630},{"className":1629},[],[1631],{"type":61,"value":1632},"occurrences",{"type":61,"value":1634},".",{"type":55,"tag":227,"props":1636,"children":1637},{},[1638],{"type":61,"value":1639},"Don't auto-assign or auto-resolve as part of triage. Present the list and let the\nuser decide. Bulk actions belong in dedicated skills.",{"type":55,"tag":227,"props":1641,"children":1642},{},[1643,1645,1650],{"type":61,"value":1644},"If the project uses Inbox (",{"type":55,"tag":111,"props":1646,"children":1648},{"className":1647},[],[1649],{"type":61,"value":198},{"type":61,"value":1651},"), check it first — PostHog\nmay have already curated the most actionable issues so you avoid re-deriving them.",{"type":55,"tag":227,"props":1653,"children":1654},{},[1655,1657,1663,1665,1671,1673,1679],{"type":61,"value":1656},"Provide each row's ",{"type":55,"tag":111,"props":1658,"children":1660},{"className":1659},[],[1661],{"type":61,"value":1662},"_posthogUrl",{"type":61,"value":1664}," (returned on every issue row) so the user can jump\nstraight to the issue page if they want to drill down themselves. If you build the\nlink yourself, use the full ",{"type":55,"tag":111,"props":1666,"children":1668},{"className":1667},[],[1669],{"type":61,"value":1670},"\u002Fproject\u002F\u003Cproject_id>\u002Ferror_tracking\u002F\u003Cid>",{"type":61,"value":1672}," path, never\na bare ",{"type":55,"tag":111,"props":1674,"children":1676},{"className":1675},[],[1677],{"type":61,"value":1678},"\u002Ferror_tracking\u002F\u003Cid>",{"type":61,"value":1634},{"type":55,"tag":1681,"props":1682,"children":1683},"style",{},[1684],{"type":61,"value":1685},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":1687,"total":1785},[1688,1702,1714,1726,1739,1752,1768],{"slug":1689,"name":1689,"fn":1690,"description":1691,"org":1692,"tags":1693,"stars":23,"repoUrl":24,"updatedAt":1701},"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},[1694,1696,1699,1700],{"name":1695,"slug":31,"type":15},"Analytics",{"name":1697,"slug":1698,"type":15},"Cost Optimization","cost-optimization",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-07-28T05:34:11.117757",{"slug":1703,"name":1703,"fn":1704,"description":1705,"org":1706,"tags":1707,"stars":23,"repoUrl":24,"updatedAt":1713},"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},[1708,1709,1712],{"name":1695,"slug":31,"type":15},{"name":1710,"slug":1711,"type":15},"Audit","audit",{"name":9,"slug":8,"type":15},"2026-06-08T08:08:33.693989",{"slug":1715,"name":1715,"fn":1716,"description":1717,"org":1718,"tags":1719,"stars":23,"repoUrl":24,"updatedAt":1725},"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},[1720,1721,1723,1724],{"name":1710,"slug":1711,"type":15},{"name":1722,"slug":33,"type":15},"Data Warehouse",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-06-18T08:22:57.67984",{"slug":1727,"name":1727,"fn":1728,"description":1729,"org":1730,"tags":1731,"stars":23,"repoUrl":24,"updatedAt":1738},"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},[1732,1733,1734,1737],{"name":1710,"slug":1711,"type":15},{"name":1722,"slug":33,"type":15},{"name":1735,"slug":1736,"type":15},"Performance","performance",{"name":9,"slug":8,"type":15},"2026-06-18T08:25:10.936787",{"slug":1740,"name":1740,"fn":1741,"description":1742,"org":1743,"tags":1744,"stars":23,"repoUrl":24,"updatedAt":1751},"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},[1745,1748,1749,1750],{"name":1746,"slug":1747,"type":15},"Alerting","alerting",{"name":21,"slug":22,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-06-18T08:24:40.318583",{"slug":1753,"name":1753,"fn":1754,"description":1755,"org":1756,"tags":1757,"stars":23,"repoUrl":24,"updatedAt":1767},"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},[1758,1759,1762,1763,1766],{"name":1695,"slug":31,"type":15},{"name":1760,"slug":1761,"type":15},"Monitoring","monitoring",{"name":13,"slug":14,"type":15},{"name":1764,"slug":1765,"type":15},"Operations","operations",{"name":9,"slug":8,"type":15},"2026-07-18T05:10:54.430898",{"slug":1769,"name":1769,"fn":1770,"description":1771,"org":1772,"tags":1773,"stars":23,"repoUrl":24,"updatedAt":1784},"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},[1774,1777,1780,1781],{"name":1775,"slug":1776,"type":15},"Automation","automation",{"name":1778,"slug":1779,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},{"name":1782,"slug":1783,"type":15},"Workflow Automation","workflow-automation","2026-07-28T05:34:12.167015",61,{"items":1787,"total":1904},[1788,1795,1801,1808,1815,1822,1830,1837,1851,1866,1876,1894],{"slug":1689,"name":1689,"fn":1690,"description":1691,"org":1789,"tags":1790,"stars":23,"repoUrl":24,"updatedAt":1701},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1791,1792,1793,1794],{"name":1695,"slug":31,"type":15},{"name":1697,"slug":1698,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"slug":1703,"name":1703,"fn":1704,"description":1705,"org":1796,"tags":1797,"stars":23,"repoUrl":24,"updatedAt":1713},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1798,1799,1800],{"name":1695,"slug":31,"type":15},{"name":1710,"slug":1711,"type":15},{"name":9,"slug":8,"type":15},{"slug":1715,"name":1715,"fn":1716,"description":1717,"org":1802,"tags":1803,"stars":23,"repoUrl":24,"updatedAt":1725},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1804,1805,1806,1807],{"name":1710,"slug":1711,"type":15},{"name":1722,"slug":33,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"slug":1727,"name":1727,"fn":1728,"description":1729,"org":1809,"tags":1810,"stars":23,"repoUrl":24,"updatedAt":1738},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1811,1812,1813,1814],{"name":1710,"slug":1711,"type":15},{"name":1722,"slug":33,"type":15},{"name":1735,"slug":1736,"type":15},{"name":9,"slug":8,"type":15},{"slug":1740,"name":1740,"fn":1741,"description":1742,"org":1816,"tags":1817,"stars":23,"repoUrl":24,"updatedAt":1751},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1818,1819,1820,1821],{"name":1746,"slug":1747,"type":15},{"name":21,"slug":22,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"slug":1753,"name":1753,"fn":1754,"description":1755,"org":1823,"tags":1824,"stars":23,"repoUrl":24,"updatedAt":1767},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1825,1826,1827,1828,1829],{"name":1695,"slug":31,"type":15},{"name":1760,"slug":1761,"type":15},{"name":13,"slug":14,"type":15},{"name":1764,"slug":1765,"type":15},{"name":9,"slug":8,"type":15},{"slug":1769,"name":1769,"fn":1770,"description":1771,"org":1831,"tags":1832,"stars":23,"repoUrl":24,"updatedAt":1784},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1833,1834,1835,1836],{"name":1775,"slug":1776,"type":15},{"name":1778,"slug":1779,"type":15},{"name":9,"slug":8,"type":15},{"name":1782,"slug":1783,"type":15},{"slug":1838,"name":1838,"fn":1839,"description":1840,"org":1841,"tags":1842,"stars":23,"repoUrl":24,"updatedAt":1850},"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},[1843,1844,1845,1848,1849],{"name":1695,"slug":31,"type":15},{"name":21,"slug":22,"type":15},{"name":1846,"slug":1847,"type":15},"Frontend","frontend",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-05-07T05:56:19.828048",{"slug":1852,"name":1852,"fn":1853,"description":1854,"org":1855,"tags":1856,"stars":23,"repoUrl":24,"updatedAt":1865},"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},[1857,1860,1861,1862],{"name":1858,"slug":1859,"type":15},"API Development","api-development",{"name":1846,"slug":1847,"type":15},{"name":9,"slug":8,"type":15},{"name":1863,"slug":1864,"type":15},"SDK","sdk","2026-06-08T08:08:34.929454",{"slug":1867,"name":1867,"fn":1868,"description":1869,"org":1870,"tags":1871,"stars":23,"repoUrl":24,"updatedAt":1875},"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},[1872,1873,1874],{"name":1858,"slug":1859,"type":15},{"name":1764,"slug":1765,"type":15},{"name":9,"slug":8,"type":15},"2026-07-15T05:29:58.442727",{"slug":1877,"name":1877,"fn":1878,"description":1879,"org":1880,"tags":1881,"stars":23,"repoUrl":24,"updatedAt":1893},"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},[1882,1883,1886,1887,1890],{"name":1775,"slug":1776,"type":15},{"name":1884,"slug":1885,"type":15},"Email","email",{"name":9,"slug":8,"type":15},{"name":1888,"slug":1889,"type":15},"Reporting","reporting",{"name":1891,"slug":1892,"type":15},"Slack","slack","2026-06-09T07:32:27.935712",{"slug":1895,"name":1895,"fn":1896,"description":1897,"org":1898,"tags":1899,"stars":23,"repoUrl":24,"updatedAt":1903},"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},[1900,1901,1902],{"name":1695,"slug":31,"type":15},{"name":1858,"slug":1859,"type":15},{"name":9,"slug":8,"type":15},"2026-06-08T08:08:29.624498",231]