arsenal
免费Use when the user invokes Arsenal, needs help choosing an approach, or wants an end-to-end task handled with the installed Arsenal skills.
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Search the web for evidence using the available Exa tools. Prefer concise results and stop when the question is answered.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use the live Exa tool schemas, not remembered parameter names. Quick lookup: one focused search, then answer with citations. Documentation: find the official page and crawl the relevant section only. Code/debug: use code context, then broaden only when the first results do not answer the issue. News: preserve publication dates. Compare: search the actual alternatives. Research/similar: use supported search parameters; never invent an enum value.
Honor --domain/--exclude, --after/--before, -n, --fresh and requested output format when the tool supports them; explain unsupported filters. Prefer short relevant excerpts, not full pages. Crawl a full passage when needed to verify a key claim. Do not paste raw response metadata twice.
--deep permits targeted follow-ups for named remaining gaps, up to three passes including the initial search. Stop sooner when answered, saturated or no new useful evidence appears. No fixed quota of queries or sources. Run independent tool calls together without launching agents for simple lookups.
Cite each source that supports a claim; distinguish observed facts, inference and uncertainty. Keep dates honest. Write a report only with --save or an explicit request. --json returns structured results. --info uses the existing references/info-text.md.
Work solo. Ask before any subagent or reviewer, even in auto mode. Explain the independent scope and expected benefit first. No hidden advisor, nested delegation, model retuning, repeated successful checks, or progress spam. Use existing context before asking questions. Stop when the requested result is delivered. User stops and scope changes override pending steps.
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Use when the user invokes Arsenal, needs help choosing an approach, or wants an end-to-end task handled with the installed Arsenal skills.
中文简介正在准备中。当前显示原文说明。
Write a product brief and its task list when the user requests a product specification. Never implement it.
中文简介正在准备中。当前显示原文说明。
Create, update or resume a GitHub or Linear issue as durable resolution memory when requested.
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Start a session from what was left - trace saves, briefs, proposals, review reports, issues - and ask what to continue. Never resume or implement automatically.
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Design a concrete technical proposal with evidence and tradeoffs when a decision needs design. No implementation or automatic reviewer.
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Deep code review driven by a short interview. Read-only reader agents analyze the chosen scope per angle, the lead verifies every finding, and each point is routed to the skill that fixes it. Never edits the code.
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