| Product analytics with posthog. Use when adding a meaningful user action or feature in `web/**`, touching PostHog capture code, or answering product-usage questions.
npx skills add https://github.com/langfuse/langfuse --skill 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.
When adding a meaningful user action to web/**, decide explicitly whether it
should emit an event — do not skip the question silently.
submit), an adoption signal the team would act on, a mode/view switch that
segments behavior.
changes, anything autocapture-grade. Capture the critical path, not
everything — event bloat is an anti-pattern.
key dimension) and include it in the plan or PR description. If deliberately
not instrumenting, say so in one sentence.
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 ($pageview, identify, register).
resource:action, snake_case action. Enforced by the typedregistry — the events object + EventName type in that file. **New events
MUST be added to the registry or they will not typecheck** (e.g.
saved_views:view_selected, table:filter_builder_open). Names are static
strings only — never interpolate (a page_view_${name} explodes into
un-analyzable definitions). Event names cannot be renamed after they exist —
version instead (…_v2).
lengths — never content. Property naming: objectAdjective (filterType,
valueCount), is/has prefix for booleans (isV4, hasFreeText),
Date/Timestamp suffix for times.
_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.
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.
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.
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".
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.
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.
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.**
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.
that answer them → the key dimension. A short table beats scattered
capture() calls. (This IS the PR description.)
events object (typed).capture() at the intent seams (Rule 2), with dedup (3), thedimension (4), full coverage (5), metadata-only (1).
note. Fix any pre-existing leaks you pass.
"unknown" (Rule 4).resource:action snake_case; do not drift tospaces or rename existing events.
posthog.capture in a component instead of the typed hook.— 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.
— 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.
the isV4 dimension, and three review fixes (unforwarded dimension,
coverage gap, stale-ref misfire) are the canonical case study.
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
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.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
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.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
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.
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.
Take langfuse/posthog-instrumentation from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.