posthog/ai-plugin

context-layer-consolidation

Keep the context wiki coherent using the deterministic lint report queue

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/posthog/ai-plugin --skill context-layer-consolidation

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Context layer consolidation

Start with scripts/lint --report. Work the queue on the current dream branch.

Only edit sourced Markdown content under org/, areas/, decisions/, and existing Space pages. Never edit repository instructions, generated indexes, or scripts/; report structural failures in the run summary for the server to repair.

  • Remove unsupported synthesis.
  • Remove expired priorities unless historically significant; mark those status: historical.
  • Mark replaced decisions superseded and link their replacement.
  • Merge near-duplicates and leave a wikilink from the old subject.
  • Resolve disagreements only with evidence; leave the rest explicit.
  • Repair or intentionally retain ghost links, add sources, and split oversized pages.
  • Name every deletion in the commit message.

Keep this bounded and evidence-led. Run scripts/lint after editing.

Verwandte Aufgaben

aus demselben Repository

Weitere Skills

Alle Skills
posthog
Offiziell

composing-grid-canvases

Compose PostHog grid canvases — widget grids (including the user's home canvas) built from reusable component canvases. Use when a task asks to add, fill, move, resize, or remove a widget on a grid or home canvas, to compose a whole canvas of widgets from one ask, to build a reusable widget/component, or when a placement id or grid canvas id is the target. Covers the component store search → configure → fork → build ladder, the component placement contract (size, configSchema), the placement lif

Installationen / 1h
1
GitHub Stars
96
Aktualisiert
31. Okt.
posthog
Offiziell

consuming-endpoints-from-client-code

Wire a PostHog endpoint into a client app or SDK. Covers fetching the OpenAPI spec, generating a typed client with openapi-generator or @hey-api/openapi-ts, sending the right auth header, shaping the variables payload (HogQL codename vs insight breakdown property), handling rate-limit and materialised-endpoint error responses. Use when the user says "how do I call my endpoint", "generate a client for this", or "what auth header do I use".

Installationen / 1h
1
GitHub Stars
96
Aktualisiert
31. Okt.
posthog
Offiziell

designing-email-templates

Author, save, and edit email templates in the PostHog workflows library — compose email design JSON with Liquid personalization and create and round-trip-edit templates over MCP. Use when asked to design, build, update, or fix an email template for workflows, broadcasts, or campaigns.

Installationen / 1h
1
GitHub Stars
96
Aktualisiert
31. Okt.
posthog
Offiziell

exploring-llm-evaluations

Investigate AI observability evaluations — hog (deterministic code-based), llmjudge (LLM-prompt-based), and sentiment (user-message sentiment). Find existing evaluations, inspect their configuration, run them against specific generations, query individual results, and set up scheduled reports on an evaluation. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, inspe

Installationen / 1h
1
GitHub Stars
96
Aktualisiert
31. Okt.