posthog/ai-plugin

context-layer-health-check

Semantic review of context wiki quality after deterministic consolidation

Come usare

Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
Descrivi input e risultato desiderato; confronta l’output con le fonti.

npx skills add https://github.com/posthog/ai-plugin --skill context-layer-health-check

Prima di iniziare

L’installazione non include abbonamenti, quote API o accesso ai file.
Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.

Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

Context layer health check

Read recent wiki-miss: lines from git log --merges and use them as the priority signal. Review for contradictory active claims, unsupported conclusions, repeated low-value activity, stale priorities the report cannot detect, near-duplicate subjects, concepts without an owning page, and sources worth backfilling.

Fix what evidence supports. Leave unresolved conflicts as **Disagreement:** markers and record remaining work in the run summary. Finish with scripts/lint and scripts/lint --report.

Do not edit AGENTS.md, CLAUDE.md, generated indexes, scripts/, or Space paths. The server owns wiki structure and tooling.

Correlati per attività

dallo stesso repository

Altri Skills

Tutti gli Skills

posthog

Ufficiale

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

Installazioni / 1h: 1
GitHub Stars: 96
Aggiornato: 31 ott

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".

Installazioni / 1h: 1
GitHub Stars: 96
Aggiornato: 31 ott

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.

Installazioni / 1h: 1
GitHub Stars: 96
Aggiornato: 31 ott

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

Installazioni / 1h: 1
GitHub Stars: 96
Aggiornato: 31 ott

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Vedi dettagli →

context-layer-health-check

Come usare

Prima di iniziare

Context layer health check

Correlati per attività

context-layer-consolidation

maintain-codex-wiki

wiki-lint

llmem

Altri Skills

composing-grid-canvases

consuming-endpoints-from-client-code

designing-email-templates

exploring-llm-evaluations