delegate-locallisted

# Delegate Local Offload non-agentic text tasks to locally-installed models via the local inference backend. The headline value is privacy (content stays on-device) and context protection (the main-agent window is not consumed by paragraph-fills); token cost savings are real but typically pennies per session and a side effect, not the reason to reach. Local models are strong summarisers and weak reasoners — scope accordingly. **Core insight (from local-brain):** you do not need a framework. You need `context | ollama run model`. ## Operating mode Default to auto-delegate. When this skill is loaded into the conversation and the user's task matches the Fits list below, delegate immediately without asking permission. After every successful `delegate.sh` call, read the `delegate-meta:` line emitted to the tool's stderr — it carries `model`, `tier`, `backend`, `tokens_local`, and `duration_ms` as space-separated `key=value` pairs (plus `recipe="NAME"` when a `--recipe` flag was used). String-typed fields are double-quoted (`model="qwen3.6:35b-a3b-q8_0"`); integer fields are bare. On recipe calls the line may also carry `checks_failed=N` (a deterministic output check the model's text still violates — eyeball that aspect before using it) and `checks_autofixed=N` (a trailing padding clause the wrapper auto-stripped for you — quickly confirm nothing meaningful was lost). In your reply, surface the model and the local-token count so the user can both spot a bad answer and see what