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Create or update CLAUDE.md files following best practices for optimal AI agent onboarding
Passed 15 of 19 test cases with the skill, and 12 of 19 without it.
and 2 more in the full report
5 fixed12 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.6-flash on 10/1/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Developers frequently hit an obscure cache bug when running integration tests unless `REDIS_FLUSH=true` is set. Where should this operational detail be placed in CLAUDE.md?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends placing non-obvious traps and environment quirks in a Known Issues section. | Missed | Passed |
The instructions your model reads when the skill loads.
$ARGUMENTS
在继续之前,你必须先考虑用户输入(如果不为空)。用户可能会指定:
create - 从零创建新的 CLAUDE.mdupdate - 改进已有的 CLAUDE.mdaudit - 分析并报告当前 CLAUDE.md 的质量src/api/CLAUDE.md 代表目录级说明)LLM 是无状态的:CLAUDE.md 是每次对话中唯一会自动包含的文件。它是让 AI agent 了解代码库的主要入门文档。
少即是多:前沿 LLM 大约能遵循 150-200 条指令。Claude Code 的系统提示词本身已经占了大约 50 条,因此 CLAUDE.md 必须聚焦且简洁。
只放通用信息:只包含每次会话都适用的内容。任务特定的说明应该放在单独文件里。
不要把 Claude 当成 lint 工具:风格指南会膨胀上下文并降低指令遵循效果。应改用确定性工具(如 prettier、eslint 等)。
绝不自动生成:CLAUDE.md 是 AI harness 中杠杆最高的位置。应该经过认真思考后手工编写。
首先分析当前项目状态:
检查是否存在已有的 CLAUDE.md 文件:
./CLAUDE.md 或 .claude/CLAUDE.md**/CLAUDE.md~/.claude/CLAUDE.md识别项目结构:
test cases passed, vs 12 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.