analytics-events
Skill10 starsChanged 6 months agoMITView on GitHub
Use when adding product analytics (PostHog, GA4, Plausible), event tracking, funnels, or conversion measurement. Not for server logs only or A/B infra unless events are part of the task.
- Reads credentials
2 other projects use a version of this.
Adopted by
Most recently taken up by
- ControllableModel/SWE-Skills-Benchtheir own version, first seen Nov 8, 2026
- metabase/metabasetheir own version, first seen Oct 8, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- metabase/metabase★ 50ksame name
- ControllableModel/SWE-Skills-Bench★ 8same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Document events in a short table in code or README when adding new ones.
- Distinctive: line 25
Call after success (mutation resolved), not on click before confirm.
- Distinctive: line 41
No passwords, tokens, full credit card numbers, or health data in properties.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Analytics events
Naming convention
object_action in snake_case, stable over time:
signup_completedproject_createdcheckout_startedsubscription_upgraded
Document events in a short table in code or README when adding new ones.
Implementation
- Wrap provider in one module:
lib/analytics.tswithtrack(event, properties?). - Call after success (mutation resolved), not on click before confirm.
- Include
user_idonly if provider docs allow and privacy policy covers it — prefer anonymous until identified.
export function track(event: string, properties?: Record<string, unknown>) {
if (import.meta.env.DEV) return; // or mirror to console in dev
posthog?.capture(event, properties);
}Page views
- SPA: track on route change (
useEffectonlocation.pathname) or provider's React integration.
Privacy
- No passwords, tokens, full credit card numbers, or health data in properties.
- Cookie consent banner if required (EU/UK).
Key funnels (define with user)
Typical: visit → signup → activation → paid. Map 3–5 events minimum for new products.
StrictMode and double-firing
React 18+ in dev mounts twice. Guard one-shot events:
const fired = useRef(false);
useEffect(() => {
if (fired.current) return;
fired.current = true;
track("checkout_started", { plan });
}, []);Or fire from event handlers (clicks, mutations resolved) rather than mount effects whenever possible.
Avoid
- Duplicate events on StrictMode double mount without guard.
- Tracking every keystroke.
- Different event names per page for the same action.
- Sending PII (email, names) as event properties unless your privacy policy and provider support it.
Does it work?
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

