{"id":"clawhub-context-budgeting","name":"Context Budgeting","description":"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.","author":"clawhub","url":"https://clawhub.ai/skills/context-budgeting","source":"clawhub","tags":[],"category":"productivity","stars":0,"updated_at":"2026-02-15","auth_requirements":{"type":"none"},"quality":{"quality_tier":"medium","license":null,"archived":false,"has_skill_md":false,"has_description":true,"forks":0,"language":null,"freshness_days":48},"safety":{"safety_tier":"community","safety_label":"community","has_license":false,"not_archived":true,"recent_activity":true,"has_skill_md":false,"community_trust":0,"known_org":false}}