mcpbeat Sign in

Posthog Instrumentation Agent Skill

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

6k tokens
context cost
the whole folder, loaded on every use
3
files
instructions only
0
copies elsewhere
how many repositories repackaged it
32482
stars on the repo
on the repository, not the skill itself

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.

Other skills for the same job

different authors, same section of the catalogue
XLSX
by anthropics
vendor ×15

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

5k tokens scripts
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens

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.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.