Works with the AI Agents you already use
Context Offload Hint
Catch oversized content before it hits the context window — get a FITS / TRIM / OFFLOAD verdict plus exact steps.
$5
Context Offload Hint
Example session with this skill installed
Here's a 40k-token log — should I offload it?
- Read your context and instructions
- Compiled the context offload hint
Verdict: OFFLOAD
Size estimate: ~40k tokens (160k chars) — over the ~8k default threshold
Class: log (repeated timestamps + stack traces)
Recommended strategy:
1. Grep the failure window instead of pasting the whole file:
grep -n -A40 "ERROR" app.log | tail -200
2. Summarize, then attach a pointer:
summarize the first 50 lines; reference app.log:1204-1250
3. Keep the raw log out-of-context; pass only the extract.
Follow-up: lean-context to compress the extract; token-guard to cap the budget.
Connects securely to your tools. The creator never sees your data.
About this skill
You're about to paste 40k tokens. Should you?
context-offload-hint inspects content on its way into a model or agent and tells you whether it fits — and if not, exactly how to make it fit. No uploads, no guessing: a size estimate, a content class, and a concrete plan.
It returns
- A verdict: FITS / TRIM / OFFLOAD
- A token estimate (
chars / 4) and content classification (log, JSON, diff, doc, code, mixed) - A strategy when it's too big: extract the slice, summarize + attach a
file:linepointer, store out-of-context, or chunk it - 2–3 copy-paste commands to produce the lean version
- A suggested follow-up (
lean-context,token-guard)
Why it matters: context wasted on a raw log is context stolen from the actual task — and money spent on tokens you didn't need.
Zero-permission, instruction-only. Works with Claude Code, Cursor, Codex CLI, OpenCode, Gemini CLI, WindSurf.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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