context-budgetingManage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce token costs and latency for long-running tasks.
Install via ClawdBot CLI:
clawdbot install SarielWang93/context-budgetingThis skill provides a systematic framework for managing the finite context window (RAM) of an OpenClaw agent.
Before any compaction (manual or automatic), the agent MUST:
memory/hot/HOT_MEMORY.md with:scripts/gc_and_checkpoint.sh to trigger the physical cleanup.gc_and_checkpoint.shLocated at: skills/context-budgeting/scripts/gc_and_checkpoint.sh
Usage:
HOT_MEMORY.md to finalize the compaction process without restarting the session.Heartbeat (every 30m) acts as the Garbage Collector (GC):
/status. If Context > 80%, trigger the Checkpointing procedure.Generated Mar 1, 2026
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๐ฌ Integration Tip
Integrate this skill early in agent development to establish context management habits; use the automation script regularly to avoid manual errors during compaction.
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