Claude Skills by nick-railsback

Answers questions about the Flask library ecosystem. Use when working with Flask request/response handling, routing, blueprints, extensions, or extension authoring.

When the user wants to free disk space by deleting the skill-engine local clone cache (~/.cache/skill-engine/), with a dry-run preview before destructive action.

When the user wants the engine to discover the essence of registered sources and emit reference files. Suitable for first runs against a fresh contextualizer and for recurring rediscovery against a maturing one. The engine hands you a task and validates your output via the four reference invariants and verify.sh.

When the user is in an empty directory and wants to scaffold a new contextualizer from the bundled templates. Accepts one or more URLs or local paths to source roots; the engine auto-detects identity, kind, and topology — the user never types engine taxonomy.

When the user wants to add a single new reference file to an existing contextualizer without running the full discover pipeline.

When the user wants to refresh an existing contextualizer — re-check upstream state for registered sources, detect drift, and re-emit reference files where the upstream has changed. The engine hands you a task and validates your output via the four reference invariants and verify.sh.

When the user wants the engine to audit its own configuration and recently emitted artifacts for invariant violations and drift.

When the user wants a one-page report on the contextualizer's current health, recently emitted references, and pending review work.

When the user invokes any engine workflow from a contextualizer directory and the appropriate sub-workflow needs to be selected based on the directory's setup state.