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上下文优化技能，通过 trigger-based 懒加载和 context composition awareness 自动重组长会话上下文。
Passed 20 of 22 test cases with the skill, and 10 of 22 without it.
and 10 more in the full report
11 fixed9 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
When estimating remaining context window capacity in scripts/lib/context-window.js, which signal source is checked first before falling back to native transcript files?
| Checked | Without skill | With skill |
|---|---|---|
| Prioritizes external CCometixLine-compatible context signals over internal transcript JSONL | Missed | Passed |
The instructions your model reads when the skill loads.
上下文优化技能，通过 trigger-based 懒加载和 context composition awareness 自动重组长会话上下文。
Claude Code 默认由原生 auto-compact 决定压缩时机；下列百分比 trigger 只用于手动兜底模式：
| Trigger | 条件 | 行为 |
|---|---|---|
context_65% | 上下文使用 > 65% | 触发 advisory 压缩建议 |
context_70% | 上下文使用 > 70% | 触发压缩建议 |
context_85% | 上下文使用 > 85% | 强烈建议手动压缩 |
logical_break | 检测到逻辑断点 | 建议整理 |
specialist_done | specialist 完成 | 归档输出 |
理解上下文不同部分的价值:
高价值（总是保留）:
中等价值（根据大小决定）:
test cases passed, vs 10 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.