context-budgeting

Name: context-budgeting
Availability: InStock
Author: wjlmrzd

Partition OpenClaw context and schedule pre-compression checkpoints with gc_and_checkpoint.sh.

Updated Aug 27, 2026

Search Tags:#checkpointing #memory-management #token-cost #context-window #openclaw #garbage-collection

Ready to run

npx skills add https://github.com/wjlmrzd/OpenClaw-Wren --skill context-budgeting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: context-budgeting
Source: https://github.com/wjlmrzd/OpenClaw-Wren/tree/main/skills/context-budgeting
Command: npx skills add https://github.com/wjlmrzd/OpenClaw-Wren --skill context-budgeting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps engineers manage OpenClaw's constrained context window by partitioning information, gating long-term memory, and reducing token costs.

Core Features & Use Cases

Information Partitioning: Objective/Goal, Short-term History, Decision Logs, Background/Knowledge.
Pre-compression Checkpointing: mandatory steps to create a memory checkpoint and run a cleanup script.
Integration with Heartbeat: automated GC triggers when context > 80%.

Quick Start

Run the checkpointing procedure to pre-compress memory before the context limit is exceeded.

Frequently Asked Questions about context-budgeting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I optimize OpenClaw context window usage to save tokens?▼

Optimize OpenClaw context window usage by partitioning information into objectives, short-term history, and decision logs, then scheduling pre-compression checkpoints to summarize older data and reduce token costs.

What is pre-compression checkpointing for memory management?▼

Pre-compression checkpointing is a memory management process that creates a memory checkpoint and runs a cleanup script to summarize older data before the context limit is exceeded.

How do I run a context checkpoint in OpenClaw before hitting the token limit?▼

Run a context checkpoint by explicitly updating the HOT_MEMORY.md file and executing the gc_and_checkpoint.sh script to pre-compress memory and preserve recent dialogue.

Can I automate garbage collection triggers when OpenClaw context exceeds 80%?▼

Yes, you can automate garbage collection triggers by integrating with a Heartbeat mechanism that automatically initiates cleanup when context usage exceeds 80%.

Does context partitioning work for long-running OpenClaw sessions?▼

Context partitioning works for long-running OpenClaw sessions and memory-constrained deployments by gating long-term memory and preserving recent dialogue while summarizing older data.

What are the limitations of manual context checkpointing in OpenClaw?▼

Manual context checkpointing requires explicit HOT_MEMORY.md updates and executing the gc_and_checkpoint.sh script, meaning missed updates can lead to unmanaged context overflow and lost data.