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逐步优化上下文检索以解决子智能体（subagent）上下文问题的模式。
Passed 19 of 21 test cases with the skill, and 7 of 21 without it.
and 20 more in the full report
13 fixed7 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
In an iterative retrieval cycle, file helper-utils.ts was evaluated with a relevance score of 0.15. How should helper-utils.ts be handled in subsequent cycles?
| Checked | Without skill | With skill |
|---|---|---|
| Adds helper-utils.ts to the query excludes list. | Missed | Passed |
The instructions your model reads when the skill loads.
解決多 agent 工作流程中的「上下文問題」，其中子 agents 在開始工作之前不知道需要什麼上下文。
子 agents 以有限上下文產生。它們不知道：
標準方法失敗：
一個漸進精煉上下文的 4 階段循環：
┌─────────────────────────────────────────────┐
│ │
│ ┌──────────┐ ┌──────────┐ │
│ │ DISPATCH │─────▶│ EVALUATE │ │
│ └──────────┘ └──────────┘ │
│ ▲ │ │
│ │ ▼ │
│ ┌──────────┐ ┌──────────┐ │
│ │ LOOP │◀─────│ REFINE │ │
│ └──────────┘ └──────────┘ │
│ │
│ 最多 3 個循環，然後繼續 │
└─────────────────────────────────────────────┘
初始廣泛查詢以收集候選檔案：
test cases passed, vs 7 / 21 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.