Build a narrowly scoped feature or integration using existing repository structures. Define observable acceptance criteria and non-goals, complete the working path across relevant layers, and stop when focused checks confirm the requested outcome.
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Build feature work with high overbuilding risk. Use for new behavior, product slices, or integrations where repository reuse, strict scope, and an explicit stop condition matter.
安装前可以查看交给 AI 代理的指令内容。
Native Core's architecture-first simplicity remains mandatory. Turn feature into complete narrow outcome fitting system.
Exercise path. Run focused proof. Stop when acceptance passes. Report only material omissions and trigger.
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Delegate code lookup, small edits, and diff reviews to three specialized subagents. Their compact, structured results help conserve the main agent's context, with guidance on when to delegate and when to keep work in the main conversation.
中文简介正在准备中。当前显示英语简介。
Make agent replies shorter and easier to scan by putting answers first and removing filler. Preserves technical details, exact commands, numbers, and essential conditions while keeping the user's chosen language.
中文简介正在准备中。当前显示英语简介。
Create short commit messages using Conventional Commits, a format that labels the type of change. Emphasize intent, keep the subject concise, and include explanatory text when breaking changes, security fixes, data migrations, or reversions require context.
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Compress memory files and task lists into shorter wording to reduce input tokens. Keeps code and document structure intact, saves a readable backup separately, and sends the text to the configured model provider.
中文简介正在准备中。当前显示英语简介。
Find LLM workflows in a codebase and label them by the job they perform, so Caveman Cloud can separate spending by workflow. Present a labeling proposal for approval, apply focused code changes, and check an affected execution path.
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Review Caveman Cloud spending, latency, errors, and potential improvements using current reports and traces, or individual execution records. Produce findings tied to time windows and trace IDs, while keeping measured costs, estimated opportunities, and verified savings separate.
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