Context Management for Openclaw

A technical skill designed to monitor, optimize, and preserve AI agent context windows to prevent performance degradation during complex tasks.

marcus-daemon
v1.0.0
Feb 20, 2026
0
1.9k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install context-management

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install context-management using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Context Management?

The Context Management skill is a specialized utility for developers using AI agents to navigate the technical limits of model context windows. It addresses the common problem of compaction death spirals—where cumulative summaries eventually consume the majority of available tokens—by enforcing disciplined sub-agent spawning and checkpointing procedures.

By implementing this skill within your Openclaw Skills library, you gain a framework for analyzing context consumption patterns. It distinguishes between fixed baselines, conversational history, and tool outputs, allowing the agent to proactively suggest configuration changes or session handoffs before work quality degrades. This is essential for maintaining productivity in tool-heavy environments like large-scale audits or complex debugging sessions.

Context Management Use Cases

  • Preventing context exhaustion during long-running development sessions.
  • Deciding when to spawn sub-agents for tool-heavy tasks like multi-file audits or test suites.
  • Preserving critical state and decision history during memory compaction or session restarts.
  • Identifying token-heavy operations to optimize Openclaw Skills performance.
  • Automating the restoration of an agent's working state from checkpoint files.

How Context Management Works

  1. The skill continuously monitors context usage via session status tools to establish a consumption baseline.
  2. It applies the 60/40 rule, identifying that tool outputs are usually the primary target for context savings.
  3. Based on predefined thresholds (50%, 70%, 85%), it triggers specific logic for spawning sub-agents or warning the user of impending context limits.
  4. Before any compaction or session reset, it generates a structured .context-checkpoint.md file in the workspace root to capture the active task, state, and next steps.
  5. Post-compaction, the agent automatically reads the checkpoint and daily logs to resume work with minimal context loss.

Context Management Setup

To integrate this skill into your workflow, ensure your environment supports the Openclaw Skills gateway commands.

# Check the current context window usage
session_status

# Retrieve current gateway configuration settings
gateway config.get

# Initialize the checkpoint utility script
chmod +x scripts/context-checkpoint.sh

You can also create an optional .context-policy.yml file in your workspace root to override default spawn thresholds and task classifications.

Context Management Data Schema & Taxonomy

The skill manages context through specific file structures and metadata logs:

File Format Description
.context-checkpoint.md Markdown A structured file containing active tasks, key decisions, modified files, and next steps.
.context-policy.yml YAML Configuration for spawn thresholds and task-specific sub-agent rules.
memory/{today}.md Markdown Daily log used for secondary state recovery during session handoffs.
operation-costs.md Markdown A reference file used to estimate the token cost of various tool calls.

Context Management Advanced Features

  • Automated session profiling to classify workflows as Tool-heavy, Conversational, Mixed, or Bursty.
  • Dynamic configuration patching for parameters like reserveTokensFloor and pruning TTL to extend session runway.
  • Proactive warning templates that provide estimated tool-call runways when context exceeds 65%.
  • Safe-restart procedures for the gateway, including automatic backups and rollback documentation.
  • Multi-layered state persistence that coordinates with OpenClaw memoryFlush events.

SKILL.md


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