/working-with-scouts
How to get real jobs done with PostHog Signals scouts — the scheduled agents that watch a project and write reports into the Signals inbox — and how to steer and customize the fleet over time. Use when a user wants to delegate a watching job ("have a scout keep an eye on X",
$ npx -y skills add posthog/posthog --skill working-with-scouts --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/working-with-scouts
Context preview
The summary Claude sees to decide when to auto-load this skill.
How to get real jobs done with PostHog Signals scouts — the scheduled agents that watch a project and write reports into the Signals inbox — and how to steer and customize the fleet over time. Use when a user wants to delegate a watching job ("have a scout keep an eye on X",
SKILL.md
working-with-scouts.SKILL.mdname: working-with-scouts
description: >
How to get real jobs done with PostHog Signals scouts — the scheduled agents that watch a
project and write reports into the Signals inbox — and how to steer and customize the fleet
over time. Use when a user wants to delegate a watching job ("have a scout keep an eye on X",
"tell me if Y spikes", "watch this for a week"), wants to know which scout covers a surface,
asks how to act on what scouts report, complains the fleet is noisy or quiet ("my scouts
aren't useful", "too many reports"), or wants the fleet to get smarter over time (feedback
loops, periodic calibration, promoting one-off steers into permanent policy). The operating
manual for the human–scout working relationship; routes to `authoring-scouts` for write
mechanics, `exploring-scouts` for run observability, and `inbox-exploration` for report
triage. Trigger on "work with my scouts", "get more out of scouts", "have a scout watch X",
"what do I do with this scout report", "calibrate/review my scout fleet".
metadata:
owner_team: signalsWorking with Signals scouts
A **scout** is a scheduled agent that wakes on its own interval, looks at one PostHog project, and either writes a finding into the Signals inbox as a **report** or closes out empty. Think of the fleet as a team of junior analysts you've hired to watch things for you: they work unattended, they hold a high evidence bar, and — critically — **they get better the more you work with them**. Every dismissal reason you write, every note you leave, every report you act on feeds back into what they do next.
This skill is the operating manual for that working relationship: how to delegate a watching job, how to act on what comes back, and how to steer the fleet so it converges on what your team actually cares about. Three sibling skills carry the mechanics — reach for them when a workflow below hands off:
| Skill | Covers | | ------------------- | --------------------------------------------------------------------------------------------------- | | `authoring-scouts` | Writing, editing, and tuning scouts: skill bodies, config, the notes write side, the test loop | | `exploring-scouts` | Read-only observability: the fleet roster, run history, scratchpad memory, health assessment | | `inbox-exploration` | The inbox itself: triaging, drilling into, acting on, and resolving / dismissing / snoozing reports |
> **Before delegating: is this actually a scout job?** > If the user wants the key numbers from an **existing dashboard or insight** posted to a channel on a fixed schedule ("have a scout post the top-line from this dashboard in #launch once a day"), a **dashboard (or insight) subscription with the AI summary enabled** is usually the better fit — scouts are for open-ended watching that decides what's worth surfacing, not scheduled delivery of a fixed, user-specified metric set. > Respect a user who's certain they want a scout; when it's ambiguous, suggest the subscription and confirm first ("A dashboard subscription is a better fit for a recurring message — want me to set that up?"), and route to `managing-subscriptions`.
First: is the fleet running?
Don't delegate to a fleet that isn't there. Two reads answer it: `posthog:scout-metadata-get` says whether the project is **enrolled** to run scouts at all, and `posthog:scout-config-list` is the roster — one row per scout with its schedule, `enabled`, `emit` posture, and `description`. Check enrollment first, whatever the roster shows — config rows outlive enrollment, so a drained project can carry a roster of enabled scouts that never run (stale `last_run_at` across the board is the tell). (Scout tools were recently renamed from `signals-scout-*` to `scout-*`; if a `scout-*` name comes back unknown, try the legacy `signals-scout-*` name.) One access rule covers everything here: scout rows live on the project's **canonical parent**, so every scout read and write — this roster read included, plus the notes and config steering below — returns 403 for a credential scoped only to a child environment; work from the parent project (or a credential that covers it).
- **Not enrolled** — point the user at the Signals scout settings / [PostHog Desktop](https://posthog.com/code) onboarding rather than inventing activity.
- **Enrolled, empty roster** — likely newly enrolled and awaiting the first coordinator tick (configs auto-register then); say so instead of re-sending the user through onboarding.
- **Enrolled, rows exist** — note each scout's `enabled`, `emit` (`false` = dry-run: it runs but writes nothing), and `status` / `pause_reason`.
A paused or dry-run scout explains most "scouts aren't doing anything" complaints before any deeper digging. Also check `emit_eligibility` on `posthog:scout-project-profile-get`: when `can_emit` is false (the org hasn't approved AI processing, or the `signals_scout` source is disabled), every scout write is silently dropped even on an enabled `emit: true` scout — surface its `remediation` line before promising coverage. (For read callers the profile is a cached snapshot built by scout runs, so a 404 means no fresh profile exists — not ineligibility; fall back to checking the `signals_scout` source config via `posthog:inbox-source-configs-list` and treat eligibility as unknown rather than blocking on the profile.)
The `description` on each row says what that scout watches — scan it to answer "which scout covers X?" without loading any skill bodies. (A row with an empty description is usually an orphan whose skill was since deleted — it can't run, so don't count it as coverage.) PostHog ships specialists for most product surfaces (error tracking, logs, web analytics, AI observability, experiments, feature flags, session replay, surveys, revenue, and more) plus a cross-product generalist, and tea
Read more
name: working-with-scouts
description: >
How to get real jobs done with PostHog Signals scouts — the scheduled agents that watch a
project and write reports into the Signals inbox — and how to steer and customize the fleet
over time. Use when a user wants to delegate a watching job ("have a scout keep an eye on X",
"tell me if Y spikes", "watch this for a week"), wants to know which scout covers a surface,
asks how to act on what scouts report, complains the fleet is noisy or quiet ("my scouts
aren't useful", "too many reports"), or wants the fleet to get smarter over time (feedback
loops, periodic calibration, promoting one-off steers into permanent policy). The operating
manual for the human–scout working relationship; routes to `authoring-scouts` for write
mechanics, `exploring-scouts` for run observability, and `inbox-exploration` for report
triage. Trigger on "work with my scouts", "get more out of scouts", "have a scout watch X",
"what do I do with this scout report", "calibrate/review my scout fleet".
metadata:
owner_team: signalsWorking with Signals scouts
A **scout** is a scheduled agent that wakes on its own interval, looks at one PostHog project, and either writes a finding into the Signals inbox as a **report** or closes out empty. Think of the fleet as a team of junior analysts you've hired to watch things for you: they work unattended, they hold a high evidence bar, and — critically — **they get better the more you work with them**. Every dismissal reason you write, every note you leave, every report you act on feeds back into what they do next.
This skill is the operating manual for that working relationship: how to delegate a watching job, how to act on what comes back, and how to steer the fleet so it converges on what your team actually cares about. Three sibling skills carry the mechanics — reach for them when a workflow below hands off:
| Skill | Covers | | ------------------- | --------------------------------------------------------------------------------------------------- | | `authoring-scouts` | Writing, editing, and tuning scouts: skill bodies, config, the notes write side, the test loop | | `exploring-scouts` | Read-only observability: the fleet roster, run history, scratchpad memory, health assessment | | `inbox-exploration` | The inbox itself: triaging, drilling into, acting on, and resolving / dismissing / snoozing reports |
> **Before delegating: is this actually a scout job?** > If the user wants the key numbers from an **existing dashboard or insight** posted to a channel on a fixed schedule ("have a scout post the top-line from this dashboard in #launch once a day"), a **dashboard (or insight) subscription with the AI summary enabled** is usually the better fit — scouts are for open-ended watching that decides what's worth surfacing, not scheduled delivery of a fixed, user-specified metric set. > Respect a user who's certain they want a scout; when it's ambiguous, suggest the subscription and confirm first ("A dashboard subscription is a better fit for a recurring message — want me to set that up?"), and route to `managing-subscriptions`.
First: is the fleet running?
Don't delegate to a fleet that isn't there. Two reads answer it: `posthog:scout-metadata-get` says whether the project is **enrolled** to run scouts at all, and `posthog:scout-config-list` is the roster — one row per scout with its schedule, `enabled`, `emit` posture, and `description`. Check enrollment first, whatever the roster shows — config rows outlive enrollment, so a drained project can carry a roster of enabled scouts that never run (stale `last_run_at` across the board is the tell). (Scout tools were recently renamed from `signals-scout-*` to `scout-*`; if a `scout-*` name comes back unknown, try the legacy `signals-scout-*` name.) One access rule covers everything here: scout rows live on the project's **canonical parent**, so every scout read and write — this roster read included, plus the notes and config steering below — returns 403 for a credential scoped only to a child environment; work from the parent project (or a credential that covers it).
- **Not enrolled** — point the user at the Signals scout settings / [PostHog Desktop](https://posthog.com/code) onboarding rather than inventing activity.
- **Enrolled, empty roster** — likely newly enrolled and awaiting the first coordinator tick (configs auto-register then); say so instead of re-sending the user through onboarding.
- **Enrolled, rows exist** — note each scout's `enabled`, `emit` (`false` = dry-run: it runs but writes nothing), and `status` / `pause_reason`.
A paused or dry-run scout explains most "scouts aren't doing anything" complaints before any deeper digging. Also check `emit_eligibility` on `posthog:scout-project-profile-get`: when `can_emit` is false (the org hasn't approved AI processing, or the `signals_scout` source is disabled), every scout write is silently dropped even on an enabled `emit: true` scout — surface its `remediation` line before promising coverage. (For read callers the profile is a cached snapshot built by scout runs, so a 404 means no fresh profile exists — not ineligibility; fall back to checking the `signals_scout` source config via `posthog:inbox-source-configs-list` and treat eligibility as unknown rather than blocking on the profile.)
The `description` on each row says what that scout watches — scan it to answer "which scout covers X?" without loading any skill bodies. (A row with an empty description is usually an orphan whose skill was since deleted — it can't run, so don't count it as coverage.) PostHog ships specialists for most product surfaces (error tracking, logs, web analytics, AI observability, experiments, feature flags, session replay, surveys, revenue, and more) plus a cross-product generalist, and tea
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Repo: posthog/posthog
Other skills on posthog.
- /analyzing-expensive-users
Analyze the most expensive users in AI observability and explain why they cost so much. Use when the user asks about top spenders, expensive users, per-user LLM cost, user-level cost drivers, or patterns behind high AI observability spend.
Open skill - /creating-online-evaluations
Author continuously-running online evaluations in PostHog AI observability, grounded in real failure modes you've identified. Use when the user wants evaluations that automatically score new generations or whole traces going forward — "create an eval to catch X", "continuously
Open skill - /exploring-ai-failures
Find where an AI/LLM application is failing in production and surface the failure patterns, working from real traces. Use when someone wants to understand what's going wrong with an AI feature, find and categorize failure modes, triage errors, or investigate quality issues
Open skill - /exploring-llm-clusters
Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.
Open skill - /exploring-llm-costs
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. Use when the user asks "how much are we spending on LLMs?", "which model / user / feature is most expensive?",
Open skill - /exploring-llm-evaluations
Investigate AI observability evaluations — `hog` (deterministic code-based), `llm_judge` (LLM-prompt-based), and `sentiment` (user-message sentiment). Find existing evaluations, inspect their configuration, run them against specific generations, query individual results, and
Open skill

