What problem does it solve?
Long agent sessions fill the context window with verbose outputs, repeated file reads, and large payloads, degrading reasoning quality and stalling progress. This Skill provides a discipline for spending context tokens deliberately so sessions stay productive.
Core Features & Use Cases
- Payload Isolation: Routes verbose outputs, screenshots, and large documents to subagents so the main thread receives summaries instead of raw data.
- Selective Reading: Skips files irrelevant to the current task and keeps frequently used templates inline in the skill file rather than in separate files that cost repeated reads.
- Scoped Phases: Caps files per phase, sets turn budgets, and accounts for mechanism costs when planning fan-out work.
- Use Case: When an agent task requires scanning dozens of log files, delegate the bulk reading to subagents and keep only condensed findings in the main conversation.
Quick Start
Apply the context window guard principles to plan this task so large outputs go to subagents and only summaries stay in the main thread.