posthog/ai-plugin

context-layer-health-check

Semantic review of context wiki quality after deterministic consolidation

Cómo usar

Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
Consulta las herramientas, credenciales y entornos necesarios en el documento original.
Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.

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

Antes de empezar

La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.

Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

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.

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del mismo repositorio

Más Skills

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posthog

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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

Instalaciones / 1h: 1
GitHub Stars: 96
Actualizado: 31 oct

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".

Instalaciones / 1h: 1
GitHub Stars: 96
Actualizado: 31 oct

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.

Instalaciones / 1h: 1
GitHub Stars: 96
Actualizado: 31 oct

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

Instalaciones / 1h: 1
GitHub Stars: 96
Actualizado: 31 oct

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Ver detalles →

context-layer-health-check

Cómo usar

Antes de empezar

Context layer health check

Relacionados por tarea

context-layer-consolidation

maintain-codex-wiki

wiki-lint

llmem

Más Skills

composing-grid-canvases

consuming-endpoints-from-client-code

designing-email-templates

exploring-llm-evaluations