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AI & LLM Engineering · PostHog · For data scientists
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | How PostHog "canvas" dashboards work end-to-end — the two rendering tiers (json-render vs freeform React-in-iframe), the agent system prompts that steer each, and the RIGHT way to fetch PostHog data… | PostHog/ | 179 | — | ~2.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 2 | Product analytics with posthog. An agent skill from langfuse/langfuse. | langfuse/ | 36k | — | ~3.2k | Automated safety check: Pass | Unknown | today |
| 3 | Investigate LLM spend in PostHog — total cost over time, cost by model, provider, user, trace, or custom dimension, token and cache-hit economics, and cost regressions. | PostHog/ | 40k | — | ~2.9k | Automated safety check: Pass | Unknown | yesterday |
| 4 | Teaches how to write and run evals on the products/posthogai/evalharness/ harness — sandboxed agent suites that execute the real coding agent in a Docker or Modal sandbox against a seeded Hedgebox… | PostHog/ | 40k | — | ~4k | Automated safety check: Notes | Unknown | yesterday |
| 5 | Audits services/llm-gateway against PostHog/ai-gateway and updates services/llm-gateway/PARITY.md from current implementation evidence. | PostHog/ | 40k | — | ~1.2k | Automated safety check: Pass | Unknown | yesterday |
| 6 | Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified. | PostHog/ | 40k | — | ~6.7k | Automated safety check: Pass | Unknown | yesterday |
| 7 | Debug the signals pipeline locally end-to-end. An agent skill from PostHog/posthog. | PostHog/ | 40k | — | ~2.4k | Automated safety check: Notes | Unknown | yesterday |
| 8 | How to query the documentembeddings table for raw signal data using HogQL. | PostHog/ | 40k | — | ~4.3k | Automated safety check: Pass | Unknown | yesterday |
| 9 | Migrates an LLM caller from services/llm-gateway to PostHog/ai-gateway. | PostHog/ | 40k | — | ~1.3k | Automated safety check: Pass | Unknown | yesterday |
| 10 | Investigate AI observability evaluations — hog (deterministic code-based), llmjudge (LLM-prompt-based), and sentiment (user-message sentiment). | PostHog/ | 40k | — | ~5.7k | Automated safety check: Pass | Unknown | yesterday |
| 11 | Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. | PostHog/ | 40k | — | ~7.6k | Automated safety check: Pass | Unknown | yesterday |
| 12 | Write, edit, and adapt PostHog Signals scouts: scheduled agents that scan a project and report findings. | PostHog/ | 40k | — | ~11k | Automated safety check: Pass | Unknown | yesterday |
| 13 | Finds and ranks callers that could move from services/llm-gateway to PostHog/ai-gateway. | PostHog/ | 40k | — | ~1.7k | Automated safety check: Pass | Unknown | yesterday |
| 14 | 14.Pp Posthog Every PostHog resource in one CLI — with offline search, agent-native output, and cross-resource analytics no... | mvanhorn/ | 2.1k | — | ~3.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
