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.

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Dépôt: PostHog/ai-plugin
Dernière activité de la source: 25 septembre 2026 à 08:37
Langue détectée de SKILL.md: anglais
Étoiles: 100
Forks: 21

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Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

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Copiez ce prompt dans l’assistant IA que vous utilisez.

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/PostHog/ai-plugin/tree/main/skills/auditing-experiments-flags.

Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.

npx skills add https://github.com/PostHog/ai-plugin --skill auditing-experiments-flags

La commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.

Vous préférez une copie locale ? Téléchargez les fichiers actuellement disponibles dans SkillsMP.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

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6 fichiers

SKILL.md

Instructions source · Aperçu en lecture seule

name	auditing-experiments-flags
description	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.

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authoring-insight-alerts

Author insight alerts that notify when a trends, SQL, or funnel insight crosses a bound, changes sharply, or looks anomalous. Use when the user asks to alert on a metric or insight, get notified when a number drops or spikes, set up anomaly detection, or use the AI anomaly detector (the llm detector type). Covers choosing between threshold, relative change, statistical detector, and AI detector, previewing with alert-simulate before saving, the AI detector's credit cost and limits, the exact create payload, and delivery by email or Slack.

2026-11-08

inbox-exploration

Explore PostHog's Inbox and act on what it surfaces — the place where signal reports cluster into actionable issues and trends. Use when the user asks "what's in my inbox?", "what should I look at?", "which reports are actionable?", "what's PostHog flagged recently?", asks about a specific report by ID or title, wants to act on / fix / implement a report (turn it into a PR), wants to resolve, dismiss, or snooze a report, or wants to see which signal sources are configured. Also use before you investigate an error, bug, metric change, or support ticket in code, to find research the Inbox already did. Covers listing, filtering, drilling into, and acting on reports, plus pointers to the deeper `signals` skill when raw signals or semantic search are needed. For a personal, ranked top N of reports, use `prioritizing-my-inbox`, which starts from the stored personal ranking (`view=for_you`, `sort=personal`).

2026-11-08

prioritizing-my-inbox

Give the current user a personal, ranked shortlist of the PostHog Inbox reports they are most likely to care about right now. Reads their stored personal ranking first, with one `inbox-reports-list` call (`view=for_you`, `sort=personal`), and keeps its order and reasons. Uses `inbox-reports-for-me` for a fresh or focused list, and builds a ranking by hand from the activity summary and the ranking model's lifts only when no stored ranking applies or the user asks for custom weights. Use when the user says "let's look at my inbox", "what's in my inbox for me?", "my top 10 inbox reports", "what should I look at today?", or asks to re-rank, focus, or filter that list. For browsing, filtering, drilling into, or acting on a single report, use `inbox-exploration`.

2026-11-08

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auditing-experiments-flags

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