菜单
Maximize parallel tool calls for faster execution. Use in agents that read many files, run many searches, or execute independent bash commands — anywhere serial tool use is bottlenecking throughput.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Make Claude default to implementing changes rather than just suggesting them. Use when the model keeps proposing edits instead of applying them, or when you want a bias toward action in an agentic coding context.
Raise recall in code review — get Claude to report every bug it finds, including low-confidence ones. Use for code review harnesses, security audits, or any workflow where missing a real bug is worse than a few false positives.
Stop Claude from leaving behind temporary scripts, scratch files, and iteration helpers after a task. Use when you want a clean workspace — no extra files beyond the requested deliverables.
Make Claude's responses shorter and more focused. Use when the model is over-explaining, adding non-essential context, or producing verbose answers for simple lookups.
Make Claude ask before taking destructive or hard-to-reverse actions (rm, force-push, dropping tables, posting publicly). Use in autonomous agents that touch shared systems or in any context where the blast radius of a wrong action is high.
Structured, hypothesis-driven research across large corpora. Use for complex research tasks, literature reviews, competitive analysis, or anywhere Claude needs to synthesize information from many sources with tracked confidence.
| name | vojta-parallel-tools |
| description | Maximize parallel tool calls for faster execution. Use in agents that read many files, run many searches, or execute independent bash commands — anywhere serial tool use is bottlenecking throughput. |
Claude's latest models already parallelize well, but this prompt pushes the success rate toward ~100%.
<use_parallel_tool_calls>
If you intend to call multiple tools and there are no dependencies between the tool calls, make all of the independent tool calls in parallel. Prioritize calling tools simultaneously whenever the actions can be done in parallel rather than sequentially. For example, when reading 3 files, run 3 tool calls in parallel to read all 3 files into context at the same time. Maximize use of parallel tool calls where possible to increase speed and efficiency. However, if some tool calls depend on previous calls to inform dependent values like the parameters, do NOT call these tools in parallel and instead call them sequentially. Never use placeholders or guess missing parameters in tool calls.
</use_parallel_tool_calls>
If parallel tool calling is causing instability (system overload, rate limits, ordering issues):
Execute operations sequentially with brief pauses between each step to ensure stability.