[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-posthog-finding-sessions-to-watch":3,"mdc--1ie0z-key":45,"related-org-posthog-finding-sessions-to-watch":1731,"related-repo-posthog-finding-sessions-to-watch":1900},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":20,"repoUrl":21,"updatedAt":22,"license":23,"forks":24,"topics":25,"repo":40,"sourceUrl":43,"mdContent":44},"finding-sessions-to-watch","identify high-signal user session recordings","Guides a user from \"I want to watch recordings but don't know which ones\" to a short, high-signal list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants help finding interesting \u002F useful recordings, says they don't know where to start in session replay, or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks, errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focused RecordingsQuery via `query-session-recordings-list`, then deep-links the best few and hands off to `investigating-replay`. Do NOT use when the user already has a recording\u002Fsession ID (use investigating-replay) or wants the replay for a known error issue (use finding-replay-for-issue).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"posthog","PostHog","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fposthog.png",[12,14,17],{"name":9,"slug":8,"type":13},"tag",{"name":15,"slug":16,"type":13},"Analytics","analytics",{"name":18,"slug":19,"type":13},"UX Design","ux-design",35568,"https:\u002F\u002Fgithub.com\u002FPostHog\u002Fposthog","2026-06-05T07:43:38.568031",null,2977,[26,27,16,28,29,30,31,32,33,34,35,36,37,38,39],"ab-testing","ai-analytics","cdp","data-warehouse","experiments","feature-flags","javascript","product-analytics","python","react","session-replay","surveys","typescript","web-analytics",{"repoUrl":21,"stars":20,"forks":24,"topics":41,"description":42},[26,27,16,28,29,30,31,32,33,34,35,36,37,38,39],"🦔 PostHog is an all-in-one developer platform for building successful products. 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\u002Freplay\u002Fskills\u002Ffinding-sessions-to-watch","---\nname: finding-sessions-to-watch\ndescription: >\n  Guides a user from \"I want to watch recordings but don't know which ones\" to a short, high-signal\n  list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants\n  help finding interesting \u002F useful recordings, says they don't know where to start in session replay,\n  or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks,\n  errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focused\n  RecordingsQuery via `query-session-recordings-list`, then deep-links the best few and hands off to\n  `investigating-replay`. Do NOT use when the user already has a recording\u002Fsession ID (use\n  investigating-replay) or wants the replay for a known error issue (use finding-replay-for-issue).\n---\n\n# Finding sessions to watch\n\nMost people open session replay with a goal (\"why are signups dropping?\") but no idea which of\nthousands of recordings to watch. A raw, unfiltered list is the worst possible answer — it buries the\nuseful sessions in noise. Your job is to turn their intent into a **focused filter**, return a **handful\nof high-signal recordings**, and offer to dig into one.\n\nThe starting points below are the same ones the product surfaces as \"filter templates\" — they encode\nthe jobs people actually use replay for. Treat them as a menu, not a script.\n\n## The one rule\n\n**Never dump an unfiltered recording list.** Always either (a) apply a goal-based filter, or (b) sort by\na signal (activity, errors) so the first few rows are worth a click. If the user's goal is unclear, ask\none short question or offer the menu before querying.\n\n## Available tools\n\n| Tool                                        | Purpose                                                                  |\n| ------------------------------------------- | ------------------------------------------------------------------------ |\n| `posthog:query-session-recordings-list`     | Find\u002Ffilter recordings (the workhorse). Returns metadata + `id` per row. |\n| `posthog:read-data-schema`                  | Confirm real event names, URLs, and property values before filtering.    |\n| `posthog:execute-sql`                       | Collect `$session_id`s for sessions where a specific **event** happened. |\n| `posthog:cohorts-list`                      | Resolve a cohort name → id when scoping to a user segment.               |\n| `posthog:session-recording-playlist-create` | Save the resulting filter as a saved filter view (`type: 'filters'`).    |\n\nHand off to the **`investigating-replay`** skill once the user picks a recording to understand in depth.\n\n## Workflow\n\n### 1. Pin down the goal\n\nMap the request to one of the starting points below. If it's vague (\"show me something interesting\"),\noffer 3-4 options rather than guessing, or default to **most active sessions** (high signal, no setup).\n\n### 2. Discover before you filter\n\nEvent names and URLs vary per project — never assume `$pageview` paths, a `signup_completed` event, or\na person property exists. Confirm with `read-data-schema` (`event_properties`,\n`event_property_values`, `entity_property_values`) before putting a value in a filter. If the needed\nevent\u002Fproperty doesn't exist, say so and suggest the closest available signal.\n\n### 3. Run a minimal query\n\nCall `query-session-recordings-list` with **only** the filters that serve the goal. Recommended settings:\n\n- set `filter_test_accounts: true` (the tool defaults to `false`) to exclude internal users, unless the\n  user is debugging their own session.\n- `date_from` of `-7d` to `-30d` for goal-based searches; `-3d` for \"recent\".\n- A deliberate `order` — `activity_score` for \"interesting\", `console_error_count` for \"broken\",\n  `start_time` for \"recent\".\n- `limit: 10` — you want a shortlist, not a dump.\n\n### 4. Triage and present\n\nDon't relay raw rows. Pick the **3-5 most promising** and say why each is worth watching (long active\nduration, many errors, reached the key page, high activity score). Deep-link each as\n`{posthog_base_url}\u002Freplay\u002F{id}` — never `\u002Freplay\u002Fhome?sessionRecordingId={id}`. Note total matches so\nthe user knows how much is behind the shortlist.\n\n### 5. Offer the next step\n\n- \"Want me to walk through one?\" → `investigating-replay`.\n- \"Want to keep watching these?\" → save it as a saved filter view with\n  `session-recording-playlist-create` (`type: 'filters'` — a filter view, not a `'collection'`, which is\n  for manually curated recordings and can't carry filters).\n\n## Starting points → filters\n\nTwo filter shapes cover almost everything:\n\n- **Reached a page** → recording metric `visited_page` (`{ \"type\": \"recording\", \"key\": \"visited_page\",\n\"operator\": \"icontains\", \"value\": \"\u002Fpricing\" }`).\n- **Did a specific event** (signup, search, rageclick, used a feature) → there is no event-name filter on\n  the recordings query, so first collect session IDs with `execute-sql`, then pass them as `session_ids`\n  (see the two-step pattern below).\n\n| User goal                                             | Approach                                                                                                                                                                  |\n| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Signup \u002F onboarding \u002F pricing \u002F checkout friction** | `visited_page` `icontains` the relevant path (confirm the real path first). Order `start_time`, or `console_error_count` to surface broken ones.                          |\n| **A specific feature**                                | Two-step: `execute-sql` for `$session_id`s where the feature event fired, then `session_ids`. Pair with `visited_page` if the feature lives on one page.                  |\n| **Rageclicks \u002F frustration**                          | Two-step on the `$rageclick` event → `session_ids`.                                                                                                                       |\n| **Errors \u002F something broken**                         | `properties: [{ \"type\": \"recording\", \"key\": \"console_error_count\", \"operator\": \"gt\", \"value\": 0 }]`, order `console_error_count`.                                         |\n| **A\u002FB test \u002F feature flag**                           | `{ \"type\": \"flag\", \"key\": \"\u003Cflag-key>\", \"operator\": \"flag_evaluates_to\", \"value\": \"\u003Cvariant or true>\" }`.                                                                 |\n| **A specific person \u002F segment**                       | `person_uuid`, a `person` property filter (e.g. `email`), or a `cohort` filter (`cohorts-list` for the id).                                                               |\n| **Mobile \u002F responsive issues**                        | `{ \"type\": \"event\", \"key\": \"$device_type\", \"operator\": \"exact\", \"value\": [\"Mobile\"] }`, or `{ \"type\": \"event\", \"key\": \"$screen_width\", \"operator\": \"lt\", \"value\": 600 }`. |\n| **Most active users \u002F \"just show me good ones\"**      | No filter; `order: \"activity_score\"`. The reliable default when the user has no specific goal.                                                                            |\n| **Most active pages**                                 | `execute-sql` to rank `$pageview` by URL, then filter recordings by the hottest page's `visited_page`.                                                                    |\n\n### Two-step pattern: \"sessions where event X happened\"\n\nThe recordings query filters by event _properties_, not event _names_. To find sessions that contain a\nparticular event, collect the session IDs first:\n\n```sql\nposthog:execute-sql\nSELECT $session_id\nFROM events\nWHERE event = '$rageclick'          -- or your signup\u002Fsearch\u002Ffeature event (confirm via read-data-schema)\n    AND timestamp > now() - INTERVAL 7 DAY\n    AND $session_id != ''\nGROUP BY $session_id\nORDER BY max(timestamp) DESC         -- recent first: UUIDs aren't time-ordered, so the LIMIT must keep the freshest sessions\nLIMIT 100\n```\n\nThen fetch those recordings (some session IDs won't have a recording — that's expected). Pass the same\n`date_from` window as the SQL step — with only `session_ids`, the query falls back to its `-3d` default\nand would drop sessions whose event was older than that:\n\n```json\nposthog:query-session-recordings-list\n{ \"date_from\": \"-7d\", \"session_ids\": [\"\u003Cid1>\", \"\u003Cid2>\", \"...\"] }\n```\n\n## Worked example\n\nUser: \"Why are people bouncing on our pricing page? Show me some sessions.\"\n\n1. Goal = pricing-page friction → `visited_page` approach.\n2. `read-data-schema` (`event_property_values` for `$pathname`) to confirm the path is `\u002Fpricing`.\n3. Query:\n\n```json\nposthog:query-session-recordings-list\n{\n  \"date_from\": \"-14d\",\n  \"filter_test_accounts\": true,\n  \"order\": \"activity_score\",\n  \"limit\": 10,\n  \"properties\": [\n    { \"type\": \"recording\", \"key\": \"visited_page\", \"operator\": \"icontains\", \"value\": \"\u002Fpricing\" }\n  ]\n}\n```\n\n4. Present the 3-5 most active, each as `{base}\u002Freplay\u002F{id}`, noting which lingered or hit errors.\n5. Offer to investigate the most promising one (`investigating-replay`) or save it as a saved filter view (`type: 'filters'`).\n\n## Tips\n\n- Prefer one good filter over many — over-filtering returns nothing and reads as \"no data\".\n- If a query returns zero recordings, widen the date range or loosen the filter before concluding there's\n  nothing to watch; if it's still empty, recordings may not be captured for that flow (point the user to\n  `diagnosing-missing-recordings`).\n- `activity_score` is a solid default proxy for \"worth watching\" when there's no sharper signal — but it\n  rewards raw interaction volume, so prefer a goal-based filter (errors, a key page) when you have one.\n- Keep the shortlist short. The value is in choosing _for_ the user, not handing back the haystack.\n",{"data":46,"body":47},{"name":4,"description":6},{"type":48,"children":49},"root",[50,58,79,84,91,101,107,252,268,274,281,293,299,352,358,378,486,492,520,526,568,574,579,632,960,966,986,1080,1106,1249,1255,1260,1311,1643,1677,1683,1725],{"type":51,"tag":52,"props":53,"children":54},"element","h1",{"id":4},[55],{"type":56,"value":57},"text","Finding sessions to watch",{"type":51,"tag":59,"props":60,"children":61},"p",{},[62,64,70,72,77],{"type":56,"value":63},"Most people open session replay with a goal (\"why are signups dropping?\") but no idea which of\nthousands of recordings to watch. A raw, unfiltered list is the worst possible answer — it buries the\nuseful sessions in noise. Your job is to turn their intent into a ",{"type":51,"tag":65,"props":66,"children":67},"strong",{},[68],{"type":56,"value":69},"focused filter",{"type":56,"value":71},", return a ",{"type":51,"tag":65,"props":73,"children":74},{},[75],{"type":56,"value":76},"handful\nof high-signal recordings",{"type":56,"value":78},", and offer to dig into one.",{"type":51,"tag":59,"props":80,"children":81},{},[82],{"type":56,"value":83},"The starting points below are the same ones the product surfaces as \"filter templates\" — they encode\nthe jobs people actually use replay for. Treat them as a menu, not a script.",{"type":51,"tag":85,"props":86,"children":88},"h2",{"id":87},"the-one-rule",[89],{"type":56,"value":90},"The one rule",{"type":51,"tag":59,"props":92,"children":93},{},[94,99],{"type":51,"tag":65,"props":95,"children":96},{},[97],{"type":56,"value":98},"Never dump an unfiltered recording list.",{"type":56,"value":100}," Always either (a) apply a goal-based filter, or (b) sort by\na signal (activity, errors) so the first few rows are worth a click. If the user's goal is unclear, ask\none short question or offer the menu before querying.",{"type":51,"tag":85,"props":102,"children":104},{"id":103},"available-tools",[105],{"type":56,"value":106},"Available tools",{"type":51,"tag":108,"props":109,"children":110},"table",{},[111,130],{"type":51,"tag":112,"props":113,"children":114},"thead",{},[115],{"type":51,"tag":116,"props":117,"children":118},"tr",{},[119,125],{"type":51,"tag":120,"props":121,"children":122},"th",{},[123],{"type":56,"value":124},"Tool",{"type":51,"tag":120,"props":126,"children":127},{},[128],{"type":56,"value":129},"Purpose",{"type":51,"tag":131,"props":132,"children":133},"tbody",{},[134,161,178,210,227],{"type":51,"tag":116,"props":135,"children":136},{},[137,148],{"type":51,"tag":138,"props":139,"children":140},"td",{},[141],{"type":51,"tag":142,"props":143,"children":145},"code",{"className":144},[],[146],{"type":56,"value":147},"posthog:query-session-recordings-list",{"type":51,"tag":138,"props":149,"children":150},{},[151,153,159],{"type":56,"value":152},"Find\u002Ffilter recordings (the workhorse). Returns metadata + ",{"type":51,"tag":142,"props":154,"children":156},{"className":155},[],[157],{"type":56,"value":158},"id",{"type":56,"value":160}," per row.",{"type":51,"tag":116,"props":162,"children":163},{},[164,173],{"type":51,"tag":138,"props":165,"children":166},{},[167],{"type":51,"tag":142,"props":168,"children":170},{"className":169},[],[171],{"type":56,"value":172},"posthog:read-data-schema",{"type":51,"tag":138,"props":174,"children":175},{},[176],{"type":56,"value":177},"Confirm real event names, URLs, and property values before filtering.",{"type":51,"tag":116,"props":179,"children":180},{},[181,190],{"type":51,"tag":138,"props":182,"children":183},{},[184],{"type":51,"tag":142,"props":185,"children":187},{"className":186},[],[188],{"type":56,"value":189},"posthog:execute-sql",{"type":51,"tag":138,"props":191,"children":192},{},[193,195,201,203,208],{"type":56,"value":194},"Collect ",{"type":51,"tag":142,"props":196,"children":198},{"className":197},[],[199],{"type":56,"value":200},"$session_id",{"type":56,"value":202},"s for sessions where a specific ",{"type":51,"tag":65,"props":204,"children":205},{},[206],{"type":56,"value":207},"event",{"type":56,"value":209}," happened.",{"type":51,"tag":116,"props":211,"children":212},{},[213,222],{"type":51,"tag":138,"props":214,"children":215},{},[216],{"type":51,"tag":142,"props":217,"children":219},{"className":218},[],[220],{"type":56,"value":221},"posthog:cohorts-list",{"type":51,"tag":138,"props":223,"children":224},{},[225],{"type":56,"value":226},"Resolve a cohort name → id when scoping to a user segment.",{"type":51,"tag":116,"props":228,"children":229},{},[230,239],{"type":51,"tag":138,"props":231,"children":232},{},[233],{"type":51,"tag":142,"props":234,"children":236},{"className":235},[],[237],{"type":56,"value":238},"posthog:session-recording-playlist-create",{"type":51,"tag":138,"props":240,"children":241},{},[242,244,250],{"type":56,"value":243},"Save the resulting filter as a saved filter view (",{"type":51,"tag":142,"props":245,"children":247},{"className":246},[],[248],{"type":56,"value":249},"type: 'filters'",{"type":56,"value":251},").",{"type":51,"tag":59,"props":253,"children":254},{},[255,257,266],{"type":56,"value":256},"Hand off to the ",{"type":51,"tag":65,"props":258,"children":259},{},[260],{"type":51,"tag":142,"props":261,"children":263},{"className":262},[],[264],{"type":56,"value":265},"investigating-replay",{"type":56,"value":267}," skill once the user picks a recording to understand in depth.",{"type":51,"tag":85,"props":269,"children":271},{"id":270},"workflow",[272],{"type":56,"value":273},"Workflow",{"type":51,"tag":275,"props":276,"children":278},"h3",{"id":277},"_1-pin-down-the-goal",[279],{"type":56,"value":280},"1. 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Confirm with ",{"type":51,"tag":142,"props":321,"children":323},{"className":322},[],[324],{"type":56,"value":325},"read-data-schema",{"type":56,"value":327}," (",{"type":51,"tag":142,"props":329,"children":331},{"className":330},[],[332],{"type":56,"value":333},"event_properties",{"type":56,"value":335},",\n",{"type":51,"tag":142,"props":337,"children":339},{"className":338},[],[340],{"type":56,"value":341},"event_property_values",{"type":56,"value":343},", ",{"type":51,"tag":142,"props":345,"children":347},{"className":346},[],[348],{"type":56,"value":349},"entity_property_values",{"type":56,"value":351},") before putting a value in a filter. If the needed\nevent\u002Fproperty doesn't exist, say so and suggest the closest available signal.",{"type":51,"tag":275,"props":353,"children":355},{"id":354},"_3-run-a-minimal-query",[356],{"type":56,"value":357},"3. 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The value is in choosing ",{"type":51,"tag":972,"props":1719,"children":1720},{},[1721],{"type":56,"value":1722},"for",{"type":56,"value":1724}," the user, not handing back the haystack.",{"type":51,"tag":1726,"props":1727,"children":1728},"style",{},[1729],{"type":56,"value":1730},"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":1732,"total":1899},[1733,1748,1760,1772,1785,1800,1816,1833,1847,1862,1872,1889],{"slug":1734,"name":1734,"fn":1735,"description":1736,"org":1737,"tags":1738,"stars":20,"repoUrl":21,"updatedAt":1747},"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},[1739,1740,1743,1746],{"name":15,"slug":16,"type":13},{"name":1741,"slug":1742,"type":13},"Cost Optimization","cost-optimization",{"name":1744,"slug":1745,"type":13},"Observability","observability",{"name":9,"slug":8,"type":13},"2026-07-28T05:34:11.117757",{"slug":1749,"name":1749,"fn":1750,"description":1751,"org":1752,"tags":1753,"stars":20,"repoUrl":21,"updatedAt":1759},"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},[1754,1755,1758],{"name":15,"slug":16,"type":13},{"name":1756,"slug":1757,"type":13},"Audit","audit",{"name":9,"slug":8,"type":13},"2026-06-08T08:08:33.693989",{"slug":1761,"name":1761,"fn":1762,"description":1763,"org":1764,"tags":1765,"stars":20,"repoUrl":21,"updatedAt":1771},"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},[1766,1767,1769,1770],{"name":1756,"slug":1757,"type":13},{"name":1768,"slug":29,"type":13},"Data Warehouse",{"name":1744,"slug":1745,"type":13},{"name":9,"slug":8,"type":13},"2026-06-18T08:22:57.67984",{"slug":1773,"name":1773,"fn":1774,"description":1775,"org":1776,"tags":1777,"stars":20,"repoUrl":21,"updatedAt":1784},"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},[1778,1779,1780,1783],{"name":1756,"slug":1757,"type":13},{"name":1768,"slug":29,"type":13},{"name":1781,"slug":1782,"type":13},"Performance","performance",{"name":9,"slug":8,"type":13},"2026-06-18T08:25:10.936787",{"slug":1786,"name":1786,"fn":1787,"description":1788,"org":1789,"tags":1790,"stars":20,"repoUrl":21,"updatedAt":1799},"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},[1791,1794,1797,1798],{"name":1792,"slug":1793,"type":13},"Alerting","alerting",{"name":1795,"slug":1796,"type":13},"Debugging","debugging",{"name":1744,"slug":1745,"type":13},{"name":9,"slug":8,"type":13},"2026-06-18T08:24:40.318583",{"slug":1801,"name":1801,"fn":1802,"description":1803,"org":1804,"tags":1805,"stars":20,"repoUrl":21,"updatedAt":1815},"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},[1806,1807,1810,1811,1814],{"name":15,"slug":16,"type":13},{"name":1808,"slug":1809,"type":13},"Monitoring","monitoring",{"name":1744,"slug":1745,"type":13},{"name":1812,"slug":1813,"type":13},"Operations","operations",{"name":9,"slug":8,"type":13},"2026-07-18T05:10:54.430898",{"slug":1817,"name":1817,"fn":1818,"description":1819,"org":1820,"tags":1821,"stars":20,"repoUrl":21,"updatedAt":1832},"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},[1822,1825,1828,1829],{"name":1823,"slug":1824,"type":13},"Automation","automation",{"name":1826,"slug":1827,"type":13},"MCP","mcp",{"name":9,"slug":8,"type":13},{"name":1830,"slug":1831,"type":13},"Workflow Automation","workflow-automation","2026-07-28T05:34:12.167015",{"slug":1834,"name":1834,"fn":1835,"description":1836,"org":1837,"tags":1838,"stars":20,"repoUrl":21,"updatedAt":1846},"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},[1839,1840,1841,1844,1845],{"name":15,"slug":16,"type":13},{"name":1795,"slug":1796,"type":13},{"name":1842,"slug":1843,"type":13},"Frontend","frontend",{"name":1744,"slug":1745,"type":13},{"name":9,"slug":8,"type":13},"2026-05-07T05:56:19.828048",{"slug":1848,"name":1848,"fn":1849,"description":1850,"org":1851,"tags":1852,"stars":20,"repoUrl":21,"updatedAt":1861},"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},[1853,1856,1857,1858],{"name":1854,"slug":1855,"type":13},"API Development","api-development",{"name":1842,"slug":1843,"type":13},{"name":9,"slug":8,"type":13},{"name":1859,"slug":1860,"type":13},"SDK","sdk","2026-06-08T08:08:34.929454",{"slug":1863,"name":1863,"fn":1864,"description":1865,"org":1866,"tags":1867,"stars":20,"repoUrl":21,"updatedAt":1871},"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},[1868,1869,1870],{"name":1854,"slug":1855,"type":13},{"name":1812,"slug":1813,"type":13},{"name":9,"slug":8,"type":13},"2026-07-15T05:29:58.442727",{"slug":1873,"name":1873,"fn":1874,"description":1875,"org":1876,"tags":1877,"stars":20,"repoUrl":21,"updatedAt":1888},"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},[1878,1879,1881,1882,1885],{"name":1823,"slug":1824,"type":13},{"name":1880,"slug":855,"type":13},"Email",{"name":9,"slug":8,"type":13},{"name":1883,"slug":1884,"type":13},"Reporting","reporting",{"name":1886,"slug":1887,"type":13},"Slack","slack","2026-06-09T07:32:27.935712",{"slug":1890,"name":1890,"fn":1891,"description":1892,"org":1893,"tags":1894,"stars":20,"repoUrl":21,"updatedAt":1898},"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},[1895,1896,1897],{"name":15,"slug":16,"type":13},{"name":1854,"slug":1855,"type":13},{"name":9,"slug":8,"type":13},"2026-06-08T08:08:29.624498",231,{"items":1901,"total":1951},[1902,1909,1915,1922,1929,1936,1944],{"slug":1734,"name":1734,"fn":1735,"description":1736,"org":1903,"tags":1904,"stars":20,"repoUrl":21,"updatedAt":1747},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1905,1906,1907,1908],{"name":15,"slug":16,"type":13},{"name":1741,"slug":1742,"type":13},{"name":1744,"slug":1745,"type":13},{"name":9,"slug":8,"type":13},{"slug":1749,"name":1749,"fn":1750,"description":1751,"org":1910,"tags":1911,"stars":20,"repoUrl":21,"updatedAt":1759},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1912,1913,1914],{"name":15,"slug":16,"type":13},{"name":1756,"slug":1757,"type":13},{"name":9,"slug":8,"type":13},{"slug":1761,"name":1761,"fn":1762,"description":1763,"org":1916,"tags":1917,"stars":20,"repoUrl":21,"updatedAt":1771},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1918,1919,1920,1921],{"name":1756,"slug":1757,"type":13},{"name":1768,"slug":29,"type":13},{"name":1744,"slug":1745,"type":13},{"name":9,"slug":8,"type":13},{"slug":1773,"name":1773,"fn":1774,"description":1775,"org":1923,"tags":1924,"stars":20,"repoUrl":21,"updatedAt":1784},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1925,1926,1927,1928],{"name":1756,"slug":1757,"type":13},{"name":1768,"slug":29,"type":13},{"name":1781,"slug":1782,"type":13},{"name":9,"slug":8,"type":13},{"slug":1786,"name":1786,"fn":1787,"description":1788,"org":1930,"tags":1931,"stars":20,"repoUrl":21,"updatedAt":1799},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1932,1933,1934,1935],{"name":1792,"slug":1793,"type":13},{"name":1795,"slug":1796,"type":13},{"name":1744,"slug":1745,"type":13},{"name":9,"slug":8,"type":13},{"slug":1801,"name":1801,"fn":1802,"description":1803,"org":1937,"tags":1938,"stars":20,"repoUrl":21,"updatedAt":1815},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1939,1940,1941,1942,1943],{"name":15,"slug":16,"type":13},{"name":1808,"slug":1809,"type":13},{"name":1744,"slug":1745,"type":13},{"name":1812,"slug":1813,"type":13},{"name":9,"slug":8,"type":13},{"slug":1817,"name":1817,"fn":1818,"description":1819,"org":1945,"tags":1946,"stars":20,"repoUrl":21,"updatedAt":1832},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1947,1948,1949,1950],{"name":1823,"slug":1824,"type":13},{"name":1826,"slug":1827,"type":13},{"name":9,"slug":8,"type":13},{"name":1830,"slug":1831,"type":13},61]