mcpbeat

Posthog Instrumentation

langfuse/posthog-instrumentation

| Product analytics with posthog. Use when adding a meaningful user action or feature in `web/**`, touching PostHog capture code, or answering product-usage questions.

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Install

one command, takes just this skill from the repository
npx skills add https://github.com/langfuse/langfuse --skill posthog-instrumentation

What comes with it

14 230 bytes besides the instruction
references/posthog-best-practices.md
references/posthog-code-patterns.md

The instruction itself

7 sections, as written by the author

PostHog Instrumentation

One idea: every event exists to answer a question ("how do people

filter?", "v3 vs v4?"), and it captures shape/metadata — NEVER raw values.

If you cannot name the question an event answers, do not add it. If a property

could contain user content, that is a bug.

Propose instrumentation when adding a frontend action

When adding a meaningful user action to web/**, decide explicitly whether it

should emit an event — do not skip the question silently.

  • Meaningful: a new feature surface, a funnel step (open → configure →

submit), an adoption signal the team would act on, a mode/view switch that

segments behavior.

  • Not meaningful: styling, refactors, hover states, programmatic state

changes, anything autocapture-grade. Capture the critical path, not

everything — event bloat is an anti-pattern.

  • If meaningful: write a one-line tracking plan (question → event → props →

key dimension) and include it in the plan or PR description. If deliberately

not instrumenting, say so in one sentence.

The Langfuse pattern (match it exactly)

  • Hook: usePostHogClientCapture()capture(eventName, props?)

(usePostHogClientCapture.ts).

The component calls the hook's capture — it never imports or touches

posthog directly. The only client-side exceptions are app-shell

infrastructure in _app.tsx ($pageview, identify, register).

  • Names = resource:action, snake_case action. Enforced by the typed

registry — the events object + EventName type in that file. **New events

MUST be added to the registry or they will not typecheck** (e.g.

saved_views:view_selected, table:filter_builder_open). Names are static

strings only — never interpolate (a page_view_${name} explodes into

un-analyzable definitions). Event names cannot be renamed after they exist —

version instead (…_v2).

  • Props: camelCase, metadata-only. IDs of enums / counts / booleans /

lengths — never content. Property naming: objectAdjective (filterType,

valueCount), is/has prefix for booleans (isV4, hasFreeText),

Date/Timestamp suffix for times.

  • Global dimensions ride as a super property registered once in

_app.tsx (e.g. v4BetaEnabled via

posthog.register, removed on sign-out via posthog.unregister) so they

attach to every event. Also put a per-event copy on events where the value

at the moment of the action matters (Rule 4). For org/project-level

segmentation, PostHog group analytics is the documented mechanism — see

references/posthog-code-patterns.md §4.

  • Server-side events are separate. A few server paths capture via

ServerPosthog (e.g. cloud_signup_complete, playground analytics) with

event names distinct from any frontend event — keep it that way; reusing a

name across client and server double-counts.

The 6 rules (each earned the hard way on LFE-10781 / PR #14929)

  • PRIVACY is rule #1 — metadata only, never raw values. Safe: type,

column, operator, key (a field _name_, not a value), counts

(valueCount, conditionCount), lengths (queryLength = char count, NOT

the text), enums (trigger, reason), tableName, booleans. Never:

the raw filter value, search text, the AI prompt, userId/sessionId,

metadata content, tag names.

⚠ _Real leak:_ table:filter_builder_close sent { filter: filterState }

— the whole filter including values → PII in PostHog. Fixed to

{ filterCount } in #14929. Grep any event you touch for a raw value.

💡 _How PostHog itself keeps PII out_ (see

references/posthog-code-patterns.md §2):

not SDK denylists — the payload only accepts metadata. Encode

"counts/lengths/booleans/enums only" into parameter types (raw content

→ a type error) and shared sanitize*() helpers for complex objects.

Reserve a client-side before_send hook for _last-mile secrets_ (tokens in

URLs/share links) and for disabling capture on publicly-embedded views —

a backstop, not the primary defense.

  • Instrument the INTENT seam, not the low-level setter. Capture in the

per-action function the user triggered (updateFilter, updateOperator,

commit), NOT the shared state setter (setFilterState) — the setter also

fires on programmatic restores (saved views, URL nav, defaults) →

double-count / phantom events. Find the function that maps 1:1 to "the user

did X".

  • Fire once per action — dedup. Guard no-op triggers (a blur with no

change must NOT emit). When one emitting handler nests another (e.g. an

operator toggle that internally calls updateFilter), use a suppress-ref so

it emits once. Beware stale refs in external-sync effects that commit via

the raw setter and leave a baseline count stale → the next edit mis-fires.

  • **Carry the key segmentation DIMENSION on every event — and make sure it is

actually populated. For Langfuse the headline dimension is v3 vs v4

(fast mode)** — filtering (and much else) behaves very differently across

them. Put isV4 on every relevant event, derived from the surface **at the

moment of the action** (v4 events table / grammar search bar → true;

v3/legacy → false; shared components → from the table/view context).

⚠ _Real P1:_ a component-level isV4/tableName prop that defaults to

"unknown"/false is worthless if callers do not forward it — **forward

it from EVERY call site and verify the emitted event carries the real

value, not the default.** The super property is a global backstop, not the

only source.

  • Cover every sub-path of a surface. A "filter applied" event that only

fires for some facet kinds is a silent hole. ⚠ _Real gap:_ keyed-facet

handlers (metadata / scores) called the setter directly and emitted nothing

— on exactly the surfaces we most wanted data. **Enumerate a surface's

actions and confirm each emits.**

  • VERIFY LIVE — intercept the real capture calls; do not assume. Spy on

window.posthog.capture (or the network POST to the PostHog ingest

endpoint) with Playwright and assert: (a) the action fires the event

exactly once (no double-count, no blur-refire); (b) the **key dimension

is present and correct** (contrast a v4 surface vs a v3 surface → isV4

true vs false); (c) **PRIVACY — dump every payload and confirm NO raw value

/ search text / prompt / id appears.** A green typecheck ≠ correct

analytics; the dimension-populated and privacy checks catch the real bugs.

Workflow

  • Tracking plan first (tiny). Write the question(s) → the events + props

that answer them → the key dimension. A short table beats scattered

capture() calls. (This IS the PR description.)

  • Register the events in the events object (typed).
  • Wire capture() at the intent seams (Rule 2), with dedup (3), the

dimension (4), full coverage (5), metadata-only (1).

  • Verify live (6) — once + dimension + privacy.
  • PR with the taxonomy table + an explicit "metadata-only, no raw values"

note. Fix any pre-existing leaks you pass.

Anti-patterns

  • Raw values / PII in props (Rule 1).
  • Wrong-seam double-count (Rule 2).
  • A dimension that silently defaults to "unknown" (Rule 4).
  • Coverage gaps (Rule 5).
  • Event bloat / events that map to no question.
  • Inconsistent naming — stick to resource:action snake_case; do not drift to

spaces or rename existing events.

  • Raw posthog.capture in a component instead of the typed hook.
  • Trusting a typecheck as verification (Rule 6).

References

  • references/posthog-best-practices.md

— PostHog's official doctrine (naming, taxonomy, property scopes, PII,

tracking-plan governance), cited to their docs. Read when designing a new

taxonomy or debating naming/scope.

  • references/posthog-code-patterns.md

— how PostHog instruments its OWN frontend (central registry module,

sanitize-at-call-site PII firewall, super properties + groups, FE-vs-server

naming), cited to their product code. Read when hardening the pattern or

adding global dimensions.

  • Worked example: LFE-10781 / PR #14929 — a filter/search-bar taxonomy,

the isV4 dimension, and three review fixes (unforwarded dimension,

coverage gap, stale-ref misfire) are the canonical case study.

How to use it

Copy the folder

Take langfuse/posthog-instrumentation from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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