Context Budgeting

# Context Budgeting

Manage 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.

## Discovery Metadata
- Category: `productivity`
- Framework: `ClawHub`
- Tags: `context`, `budgeting`, `manage`, `optimize`, `openclaw`, `window`, `usage`, `via`, `partitioning`, `pre-compression`

## Agent Execution Policy

This listing is **discovery metadata only**. Canonical instructions are maintained by ClawHub.

### Before Executing Actions

1. **Fetch canonical instructions** from: https://clawhub.ai/skill/context-budgeting
2. **Parse the skill page** for setup, usage, and input/output requirements.
3. **Only proceed** after successfully loading and understanding the full instructions.

### If Fetch Fails

- Return `instruction_unavailable` with reason.
- Do **not** attempt to infer or improvise execution steps from this metadata alone.

## Source

- ClawHub listing: https://clawhub.ai/skill/context-budgeting