全部 Agent Skills
41,263 个结果
- Modeling Dimension TablesPostHogBuild reusable dimension / lookup tables for a star schema — country/region, timezone, currency, date, plan/product, and other descriptive attributes — on either PostHog data-warehouse views (HogQL) or an external dbt project.
- Modeling Product Usage MetricsPostHogBuild reusable product-usage and engagement models — retention, stickiness, and lifecycle — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model, define, or compute whether users come back (retention / churn), how frequently they engage (stickiness / power users / DAU-WAU-MAU ratio), or the composition of the active base (new / returning /…
- Modeling Revenue MetricsPostHogBuild reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an external dbt project.
- Modeling Warehouse FoundationsPostHogShared foundations for building reusable data models in PostHog, on either of two stacks: PostHog-native data-warehouse views / materialized views (HogQL, via the view-* MCP tools), or an external dbt project (sources.yml + staging/marts + schema tests) run against your own or PostHog's managed warehouse.
- One Prompt Videohuangbai-AI一句话生成一条完整的口播视频：写稿 → 生成口播数字人（即梦 CLI / Seedance 2.5，本人照片 + 本人声音）→ 做 B-roll（截图、本人素材、代码动画）→ HyperFrames 合成 → 分段渲染 → 抽帧检查 → 按平台出版本。用户说“帮我做一条口播视频”“一句话出片”“按我的风格做期教程视频”“把这期做成成片”时使用。
- PostHog/ai-pluginPostHog技能合集Official PostHog plugin for Claude Code, Cursor, Gemini, Codex and other AI coding tools
- Querying Canvas DataPostHogGet PostHog data into a canvas correctly: the host-injected `ph` SDK (loadInsight, query, capture, state, connectors, openExternal, navigate), the data hierarchy (saved insights first, typed query nodes second, inline HogQL last), verifiability (insight-backed metrics link their saved insight in PostHog; ad-hoc queries expose the exact query that ran), per-insight-type result shapes, progressive…
- Querying Posthog DataPostHogExplains how to query PostHog data, defaulting to typed runners for supported product analytics. Read it before you write HogQL/SQL. Also read it before you call execute-sql against PostHog. Use it to find or aggregate PostHog entities. These entities include insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, warehouse data, and persons.
- Resolving Ingestion WarningsPostHogDiagnoses and resolves PostHog ingestion warnings — problems recorded while ingesting events (dropped events, rejected person merges, oversized payloads, invalid data). Use when a user asks why events are missing, dropped, or undercounted, why identify/alias calls don't work or accounts stay duplicated, why person or group properties aren't updating or profiles look inflated, why recordings have…
- Review Hog AuthoringPostHogHow to author custom PostHog Review skills: the review perspectives, blind-spot checks, validation criteria, and resolution criteria that drive PostHog Review's automated PR reviews. Use when a user wants a new review perspective (a specialist lens on their PRs), a custom blind-spot sweep, their own validation bar for which findings get published, or their own bar for which review comments get…
- Review Hog Blind Spots GeneralPostHogChecks each chunk for issues the other reviewers missed. Uses their findings to avoid repeating them.
- Review Hog Perspective Contracts SecurityPostHogChecks security, input validation, and API compatibility. Reports security and contract issues only.
- Review Hog Perspective Logic CorrectnessPostHogChecks business logic, edge cases, data transformations, and queries. Reports correctness issues only.
- Review Hog Perspective Performance ReliabilityPostHogChecks resource use, error recovery, and scaling. Reports performance and reliability issues only.
- Review Hog Resolution CriteriaPostHogImplements safe, verifiable fixes from review comments. Explains declined requests and asks a human to handle risky changes.
- Review Hog Resolution Criteria GapsPostHogFixes should-fix and must-fix bugs and missing functionality. Leaves wording, documentation, and style suggestions to the author.
- Review Hog Resolution Criteria SmallPostHogFixes small bugs, typos, wording, and outdated documentation. Leaves changes that need a design decision to the author.
- Review Hog Validation CriteriaPostHogKeeps findings that affect correctness, security, data, API compatibility, or performance. Drops speculative issues and style suggestions before publishing.
- Scanning Experiments With Replay VisionPostHogProvisions a Replay Vision `experiment` scanner, which watches one experiment's exposed sessions, records each session's variant, samples the variants evenly, and stops when the experiment ends. Covers status guards, a prompt that stays comparable across variants, sizing credit spend against the experiment's own population, creating it disabled so its prompt can be previewed on real sessions…
- Setting Up A Custom Rest SourcePostHogConnect an arbitrary REST API to the PostHog data warehouse as a Custom source by authoring a JSON manifest, with no per-source code. Use when the user points at an API that has no built-in PostHog connector — "import data from this REST API", "sync my internal API", "connect this API from its docs", "build a custom data warehouse source" — and gives a docs URL or a natural-language description…
- Setting Up Data CatalogPostHogPopulates and maintains a project's data catalog (semantic layer): canonical metrics, trust marks (certifications) on warehouse tables/views, and reviewed table relationships. Use when asked to set up / seed / bootstrap the data catalog or semantic layer, to catalog a project's metrics, to certify or deprecate data sources, to propose or review table joins, or to work through the proposal review…
- Setting Up Warehouse PropertiesPostHogPopulate person or group properties from a data warehouse table or materialized view, so warehouse columns become properties usable in feature flags, cohorts, and insights. Use when the user wants to "sync my Postgres columns to person properties", "map a warehouse table to people", "replace our daily identify cron", "update person properties from the warehouse", or asks for reverse ETL into…
- SignalsPostHogHow to query the document_embeddings table for raw signal data using HogQL. Use when you need to perform semantic search over signals, fetch every signal that contributed to a specific report, or list signal types.
- Signals Scout Ai ObservabilityPostHogSignals scout for PostHog AI observability. Watches LLM traces for cost, latency, error, volume, and eval-performance regressions.