DevOps & Cloud
4,382 results
- Signals Scout Revenue AnalyticsPostHogSignals scout for PostHog revenue analytics. Watches for upstream failures (Stripe sync stalls, capture regressions), and config drift.
- Signals Scout Session ReplayPostHogSignals scout for PostHog session replay. Watches that sessions keep recording (capture cliffs) and surfaces friction inside recordings — rage/dead-click clusters, error-after- interaction cohorts.
- Signals Scout Skills StorePostHogSkill-hygiene scout for the team's PostHog skills store. Watches recently-changed and most- used skills for authoring violations — vague descriptions, bloated bodies, dead file links, kitchen-sink scope, committed secrets.
- Signals Scout SurveysPostHogSignals scout for PostHog surveys. Watches active surveys for score regressions, response- volume drops, abandonment spikes, and targeting drift, and aggregates open-text responses into recurring themes.
- Signals Scout TasksPostHogSignals scout for PostHog Tasks. Watches delivery health — failing runs clustered by repository and error class, retry storms — and, on a slower rotation, recurring demand across human-authored tasks. Skips the scout fleet's own runs.
- Signals Scout Unused FeaturesPostHogSignals scout for the parts of a product people barely use. Measures each clickable element and page against the reach of where it lives, gives each barely used one a likely cause, and reports the ones that are reachable and still not used.
- Signals Scout Web AnalyticsPostHogSignals scout for PostHog web traffic. Watches per-channel session volume, attribution breakage, and landing-page health (bounce and 404 steps) against the site's own baseline. Per- page web vitals belong to `signals-scout-web-vitals`.
- Signals Scout Web VitalsPostHogSignals scout for Core Web Vitals (`$web_vitals`). Watches each page's p75 LCP / INP / CLS / FCP against Google's thresholds and its own history — poor-band pages, band crossings, sharp regressions — and dates each regression against deploys and flag rollouts.
- Signals Scout WorkflowsPostHogSignals scout for PostHog workflows. Looks at the workflows whose owner asked for suggestions, reads each email step's per-version delivery metrics, and proposes one concrete change a person can approve, filed through the workflows suggestions API. It files no report and emits no signal: the suggestion on the workflow page is the output.
- Skills StorePostHogDiscover and use shared team skills stored in PostHog. Use when the user asks to list, browse, load, or manage "shared skills", "team skills", or references the "skills store" / "skill store".
- Suggesting Data ImportsPostHogUse when the user asks about revenue, payments, subscriptions, billing, CRM deals, support tickets, ad spend, production database tables, or other data PostHog does not collect natively — or wants to join or correlate PostHog product events with that external business data. Also use when a query fails because a table does not exist or returns no results for expected external data.
- Suggesting Path Cleaning RulesPostHogRuns and reasons about the automated AI health check that suggests path-cleaning rules for web-analytics teams. Use when asked to generate path-cleaning suggestions for a team or cohort, to run the suggestion check, to review/apply AI-suggested rules, to inspect path_cleaning_suggestions health issues, or to extend the suggestion pipeline.
- Suppressing Noisy ErrorsPostHogCreate PostHog error tracking suppression rules to drop high-volume, low-value errors at ingestion. Use when the user asks "stop capturing this error", "drop browser extension errors", "ignore ResizeObserver loops", "suppress bot-driven errors", or wants to reduce ingestion cost from noisy unactionable errors.
- Triaging Error IssuesPostHogTriage PostHog error tracking issues during a daily or on-call review. Use when the user asks "what's broken?", "what new errors do we have?", "show me top errors today", "what should I look at this morning", or wants a prioritized list of active issues to work on.
- Tuning Incremental Sync ConfigPostHogChange the sync configuration of an existing data warehouse schema — switch sync_type, pick a different incremental_field, set primary_key_columns, choose cdc_table_mode, or change sync_frequency. Use when the user asks "switch my orders table from full refresh to incremental", "this table is syncing too slowly / too frequently", "I need to pick a different incremental column", "set up CDC for…
- Turning Engineering Analytics Into InsightsPostHogConverts engineering analytics (PR / CI) data into saved PostHog insights, dashboards, and subscriptions, and explains how to query the product data directly with SQL. Covers discovering per-team GitHub warehouse tables via engineering-analytics-sources, replicating curated column semantics in HogQL, reading exposed engineering_analytics_* warehouse views where product logic is involved (CI…
- Understanding Billing UsagePostHogExplains PostHog billing usage and spend from the customer's visible Billing MCP tools. Use when the user asks why usage or spend is high, which product or project is driving usage, what a usage type means, how to reduce usage, what changed over time, why they got a usage change alert, or whether a spike/drop alert was real or noisy.
- Validating And Publishing CanvasesPostHogValidate and publish a canvas source project safely: the source-project shape, declared capabilities, reading the current version pointer, iterating on validation diagnostics, guarded publishing with expected_current_version_id, staging a draft build and promoting it, waiting out the queued build, and recovering from a 409 version_conflict or a 429 capacity limit without overwriting concurrent…
- Working With ScoutsPostHogWork with PostHog Signals scouts: scheduled agents that monitor a project and write reports into the Signals inbox. Use to assign monitoring work, schedule quality scoring, find which scout covers a surface, act on reports, reduce noise, investigate missing findings, or improve the fleet through feedback and calibration.
- Working With SkillsPostHogBest practices for agents managing PostHog skills via the MCP `skill-*` tools — how to discover, read, create, update, and refactor skills efficiently, especially large skills with many bundled files. Use whenever you are about to call any `skill-*` tool, asked to author or edit a shared skill, or troubleshoot why a skill write was rejected.
- Working With Task CommentsPostHogRead and use comments attached to the current PostHog task, its artifacts, and its canvases through the PostHog MCP exec dispatcher. Use when the user mentions task comments, artifact or canvas comments, annotations, selected-text feedback, replies, unresolved comments, or asks an agent to inspect or act on feedback left in PostHog Desktop.
- Writing Simplified Technical EnglishPostHogWrite English that a reader cannot misread: one meaning per word, active voice, simple tenses, one idea per sentence, short sentences. Based on ASD-STE100 (Simplified Technical English), the controlled-language standard written for aircraft maintenance manuals. Use it for any prose an agent produces that someone else acts on.
- Writing Streamlit AppsPostHogWrite Streamlit app source code that runs well in a PostHog sandbox — the posthog_apps.query() bridge for reading PostHog data, the packages baked into the sandbox image, caching and session state across Streamlit reruns, layout and chart patterns, and the app.py entry point with any helper modules and data files bundled beside it.
- Correctnokonoko1203エージェントが同じ間違いを繰り返すとき、履歴から間違いの種類を洗い出し、設計、型、lint・CI、テスト、文書の順に、効く範囲で最も上の層で再発を防ぐ。計画を承認してから実装し、各チェックが過去の実際の間違いで失敗することを証明する。'/correct'で使う。