Signals Scout Ai Observability
作者 PostHog469d1773e9cb無授權條款88 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新
Signals scout for PostHog AI observability. Watches LLM traces for cost, latency, error, volume, and eval-performance regressions.
- 469d1773e9cb目前提交 469d177發布於 2026年10月8日
來源與署名
來源：PostHog/ai-plugin位於skills/signals-scout-ai-observability提交469d177
授權條款： 無授權條款
內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。
更多來自 PostHog/ai-plugin 的技能
Writing Simplified Technical English
PostHog
套用 ASD-STE100 簡化技術英語規則，讓代理撰寫的文字語意明確、方便執行。
Working With Task Comments
PostHog
透過 PostHog MCP exec 調度器讀取並解讀 PostHog 任務、成品和畫布上的留言。
Working With Skills
PostHog
指導代理使用 PostHog 的 skill-* MCP 工具來探索、讀取、建立、更新與重構技能。
Working With Scouts
PostHog
說明如何把監看工作委派給 PostHog Signals 偵察代理、處理其回報，並長期調校整個代理團隊的操作手冊。
Validating And Publishing Canvases
PostHog
Validate 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 work. Use whenever a canvas edit is ready to save, a draft build is wanted, a canvas publish or build returns diagnostics or a conflict, or a task needs to understand canvas version history.
Understanding Billing Usage
PostHog
Explains 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. Also use before product-specific analytics skills when the user names a billable PostHog product metric such as events, recordings, feature flag requests, exceptions, survey responses, synced rows, logs, AI events, AI credits, or Inbox credits. Starts from Billing usage/spend tools, then routes to customer-visible product MCP surfaces for deeper investigation.
更多DevOps & Cloud技能
M5 Onboard
anthropics
透過 USB 偵測 M5Stack ESP32 開發板，燒錄 UIFlow 2.0 韌體並安裝 MicroPython 應用程式套件。
Yeet
openai
使用 GitHub CLI 一次完成暫存、提交、推送並建立或更新 GitHub 拉取請求。
Runbook
anthropics
為重複性任務建立或更新逐步操作手冊，包含疑難排解、回復與升級流程。
Incident Response
anthropics
引導事故回應流程：嚴重程度分級、狀態更新、緩解追蹤，以及無責事後檢討。
Deploy Checklist
anthropics
產生部署前就緒檢查清單，涵蓋部署前、部署、部署後與回復觸發條件。
Spanner Basics
指導 Google Cloud Spanner 的執行個體與資料庫管理、結構定義設計、查詢與效能診斷。