posthog/ai-plugin

formatting-insight-axes

Pick the right y-axis unit when creating or updating an insight via posthog:insight-create or posthog:insight-update — both TrendsQuery (trendsFilter.aggregationAxisFormat) and SQL insights (DataVisualizationNode, chartSettings.yAxis[].settings.formatting).

查看源码
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Formatting insight axes

PostHog renders insights with a built-in axis formatter. Use it instead of contorting the query or a literal prefix/postfix to fake units.

The two insight kinds configure it in different places:

  • TrendsQuerytrendsFilter.aggregationAxisFormat (this page, below)
  • SQL insights (DataVisualizationNode) — per-column

settings.formatting (see SQL insights)

The anti-pattern

If you are reaching for any of these, stop and pick a format below first:

  • formula: "A / 60" with aggregationAxisPostfix: " mins" — manual seconds -> minutes
  • formula: "A / 1000" with aggregationAxisPostfix: " s" — manual ms -> seconds
  • formula: "A * 100" with aggregationAxisPostfix: "%" — manual ratio -> percent
  • aggregationAxisPostfix: "ms" / "s" / "min" / "hr" on raw values

These freeze the unit at one scale. The built-in formatter picks a friendly unit per value (1.5s, 2m 12s, 1h 4m) and keeps the underlying series numerically correct for further math, breakdowns, and alerts.

Available formats

Set trendsFilter.aggregationAxisFormat on the TrendsQuery:

ValueUse when the series is...Renders as
numeric (default)a plain count1,234
durationseconds (any scale)45s, 2m 12s, 1h 4m
duration_msmilliseconds850ms, 1.5s, 1m 4s
percentagealready 0-10047.3%
percentage_scaleda ratio 0-147.3%
currencymoney in the project's base currency$1,234.56 (or local code)
shortlarge counts you want compacted1.2K, 3.4M

Companion fields on trendsFilter:

  • aggregationAxisPrefix — literal prefix (e.g. "$") when you need a symbol

pinned to a specific currency or unit, regardless of project settings

  • aggregationAxisPostfix — literal suffix; reserve for genuine units the

format can't express (e.g. " req", " events"), never for "mins" / "s" / "%" — the percentage formats already append the % sign, so a "%" postfix renders 50%%

  • decimalPlaces — cap decimals (1 or 2 is usually right for currency / ratios)

Currency — pick format or prefix carefully

aggregationAxisFormat: "currency" renders with the project's base currency (set in project settings, defaults to USD). Use it when the underlying values are in that same currency — e.g. revenue events that PostHog auto-converts to the project's base currency.

If the values are pinned to a specific currency regardless of project (e.g. $ai_total_cost_usd is always USD, even on a EUR-base project), use aggregationAxisPrefix: "$" + decimalPlaces: 2 so the symbol matches the data. Using format: "currency" here would render USD values with on a EUR project.

When the series is in seconds

If the series is in seconds (latency, session length, time-to-first-event, processing time, page load, etc.), silently default to aggregationAxisFormat: "duration". Do not stop to ask — the formatter is non-destructive (the underlying values stay in seconds either way, only the labels change), so picking it is always at least as good as raw seconds.

Only confirm with the user when they have explicitly named a fixed unit they want pinned ("show this in minutes", "graph the average in hours"):

"I can pin the y-axis to minutes by dividing the series by 60, or use PostHog's duration formatter which auto-picks seconds / minutes / hours per value — 90s renders as 1m 30s and 5400s as 1h 30m. Which would you prefer?"

In one-shot MCP contexts where no user is in the loop, just pick duration and move on.

Examples

Latency — duration in milliseconds

json
{
  "kind": "TrendsQuery",
  "series": [
    {
      "kind": "EventsNode",
      "event": "$pageview",
      "math": "p95",
      "math_property": "$performance_page_loaded"
    }
  ],
  "trendsFilter": {
    "aggregationAxisFormat": "duration_ms"
  }
}

Average session length — duration in seconds

json
{
  "kind": "TrendsQuery",
  "series": [
    {
      "kind": "EventsNode",
      "event": "$pageleave",
      "math": "avg",
      "math_property": "$session_duration"
    }
  ],
  "trendsFilter": {
    "aggregationAxisFormat": "duration"
  }
}

Revenue — currency in the project's base currency

json
{
  "trendsFilter": {
    "aggregationAxisFormat": "currency",
    "decimalPlaces": 2
  }
}

Fixed-currency value (e.g. LLM cost in USD) — pin the symbol

json
{
  "trendsFilter": {
    "aggregationAxisPrefix": "$",
    "decimalPlaces": 2
  }
}

Conversion rate — percentage from a 0-1 formula

json
{
  "kind": "TrendsQuery",
  "series": [
    {
      "kind": "EventsNode",
      "event": "checkout_completed",
      "math": "dau"
    },
    {
      "kind": "EventsNode",
      "event": "checkout_started",
      "math": "dau"
    }
  ],
  "trendsFilter": {
    "formula": "A / B",
    "aggregationAxisFormat": "percentage_scaled",
    "decimalPlaces": 1
  }
}

SQL insights (DataVisualizationNode)

SQL insights have no trendsFilter. Formatting is per column, on chartSettings.yAxis[].settings.formatting for a chart and top-level tableSettings.columns[].settings.formatting for a table.

json
{
  "kind": "DataVisualizationNode",
  "source": { "kind": "HogQLQuery", "query": "SELECT week, conversion_rate FROM ..." },
  "display": "ActionsLineGraph",
  "chartSettings": {
    "xAxis": { "column": "week" },
    "yAxis": [
      {
        "column": "conversion_rate",
        "settings": { "formatting": { "style": "percent", "decimalPlaces": 1 } }
      }
    ]
  }
}

style is none, number, short, or percent — no duration or currency. Express those with prefix / suffix, or in the SQL itself.

percent both appends the % sign and multiplies the value by 100 (like the trends percentage_scaled format; there is no unscaled variant). So feed it a 0-1 ratio and leave suffix unset — pick one shape, never a mix:

SQL returnsformattingRenders
a 0-1 ratio (a / b){"style": "percent", "decimalPlaces": 1}47.3%
0-100 (round(100.0 * a / b, 1)){"style": "number", "suffix": "%", "decimalPlaces": 1}47.3%

A mix renders broken: style: "percent" plus a "%" suffix gives 47.3%%, and percent on an already-scaled 0-100 column gives 4730%. Prefer the ratio form — it keeps the 100.0 * out of the query, so the stored column stays a plain ratio for anything else that reads it.

Updating an existing insight

If an insight you are already editing uses one of these anti-patterns — a trends formula/postfix pair, or a SQL column with both style: "percent" and a "%" suffix — fix it in the same posthog:insight-update call: drop the divide-by-N or 100.0 * and the literal %, and let the format own the unit. Values stay the same, only labels change. Do not scan unrelated insights — fix only the ones you are already touching.

来自同一仓库

更多 Skills

全部 Skills
posthog
官方

assessing-heatmaps

Assesses what a page's heatmap is telling you and recommends concrete changes. Pulls click / rageclick / 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/click data, or to 'analyze/assess/review 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).

安装量
1
GitHub Stars
80
最近更新
9月4日
posthog
官方

auditing-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.

安装量
1
GitHub Stars
80
最近更新
9月4日
posthog
官方

auditing-experiments-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.

安装量
1
GitHub Stars
80
最近更新
9月4日
posthog
官方

authoring-data-quality-checks

Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views: not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL. Use when asked to test a model, validate a view, check for nulls or duplicates, add data quality checks, find out why a number looks wrong, or judge whether a warehouse table is trustworthy before using it in an analysis. To describe what data means (metrics, certifications, joins), see setting-up-data-catalog instead. Trigger terms: data quality, data test, dbt test, not null check, uniqueness check, freshness check, referential integrity, row count check, validate model, is this table trustworthy.

安装量
1
GitHub Stars
80
最近更新
9月4日