flowfile-debugging-playbook

flowfile-debugging-playbook is a System & environment troubleshooting skill for AI agents, published by Edwardvaneechoud in the Flowfile repository on GitHub. Skillspace rates flowfile-debugging-playbook D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Symptom-to-cause triage playbook for Flowfile (core/worker/kernel/frontend/AI) — covers "no such table" DB cascades (two distinct causes), import-time Alembic migration corruption, silent axios/FastAPI 307 redirects in Docker, browser "CORS error" that is really an unhandled 500, stale-vs-rerunning node caching, "flow no longer in memory" 404s, Docker kernel container failures, Tauri desktop sidecar leaks, and AI agent misbehavior via the prompt log. Use when a flow run fails unexpectedly, a pytest run shows failures you didn't cause, the UI silently no-ops, the browser console says "CORS error", a node's result looks stale or keeps re-running for no reason, a scheduled/desktop run's logs seem to have vanished, a kernel (Python Script) node won't connect, quitting the desktop app leaves processes running, or an AI agent loops/hallucinates/misreferences columns — anytime you need to find root cause before writing a fix.

Grade

D

Quality

62 / 100

Safety

Passed

GitHub stars

330

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