Explore AI Agent Skills & Claude Prompts

触发：当你需要在多个目标、利益方或相互制约的指标之间做动态平衡时调用；常见信号包括 trade-offs、目标冲突、系统性约束、优化一项会伤害另一项。 English: Trigger when several important goals must be advanced together and optimizing one dimension can damage another. Use this skill to map the key relationships, avoid one-sided decisions, and balance the system as a whole.

investigation-first

触发：当你准备下判断、做决策或提出建议，但事实、上下文或一手信息还不充分时优先调用；常见信号包括 unknowns、信息缺口、证据不足、领域陌生、需要先摸清现状。 English: Trigger before making claims or decisions when context is incomplete, evidence is weak, or the domain is unfamiliar. Use this skill to investigate first, gather firsthand facts, and let reality shape the conclusion.

spark-prairie-fire

触发：当你从零起步、资源极少、需要先找到最小可行切入口并建立稳定根据地时调用；常见信号包括 bootstrap、MVP、pilot、first foothold、小团队起步。 English: Trigger when starting from almost nothing and needing a viable foothold before scaling up. Use this skill to build a durable base, start small, and grow from a validated nucleus instead of scattering effort.

practice-cognition

触发：当你提出了方案、假设或判断，需要通过实践验证、试错迭代或复盘升级认知时调用；常见信号包括 experiment、prototype、validate、iterate、feedback loop。 English: Trigger when an idea, hypothesis, or plan must be tested in practice and improved through iteration. Use this skill to move from action to understanding and back to action in a spiral learning loop.

contradiction-analysis

触发：当问题复杂、存在多个冲突因素、优先级不清，或你不知道应该先解决什么时调用；常见信号包括 trade-off、瓶颈、根因不明、主次不清、多个问题互相牵制。 English: Trigger when a problem contains competing forces, unclear priorities, or no obvious entry point. Use this skill to identify contradictions, isolate the principal contradiction, classify its nature, and choose the right response.

workflows

触发：当你面临的任务明显需要多个思想武器协作时调用；常见信号包括：从零启动新项目、攻坚复杂疑难问题、对已有方案进行迭代优化。此 skill 提供标准化的跨 skill 工作流组合，解决"应该先用哪个 skill、怎么衔接"的问题。 English: Trigger when a task clearly requires multiple skills in sequence. Use this skill to select a standard workflow that chains skills together, defines data handoff between steps, and specifies termination conditions.

mass-line

触发：当你需要收集多方意见、把零散反馈整合成可执行方案，或把方案带回真实使用者/执行者验证时调用；常见信号包括 stakeholder input、user feedback、意见汇总、对齐与验证。 English: Trigger when input must be gathered from many people, synthesized into a clearer plan, and returned to the affected users or executors for validation. Use this skill for a collect-synthesize-validate loop.

protracted-strategy

触发：当目标长期、任务复杂、资源暂时处于劣势，或短期无法速胜但又不能放弃时调用；常见信号包括 long-term effort、phased plan、endurance、战略耐心、需要分阶段推进。 English: Trigger when the work is long-horizon, difficult, and unlikely to be won quickly. Use this skill to divide the effort into stages, keep strategic confidence, and accumulate small wins into overall victory.

arming-thought

触发：在每次新的顶层对话开始时自动调用，用于建立“实事求是”的总原则，并在明确适用时为后续任务选择下游 skill；如果你是被派遣执行单一具体任务的子 agent，则跳过此 skill。 English: Trigger at the start of each new top-level conversation to establish the core methodology and select downstream skills only when clearly useful. Skip this skill when you are a delegated sub-agent handling a narrow, concrete task.

concentrate-forces

触发：当多个任务同时争夺时间、注意力、算力或预算，必须确定主攻方向并停止分散用力时调用；常见信号包括优先级过多、资源紧张、推进分散、需要决定先做什么。 English: Trigger when limited resources are being split across too many tasks and one main target must be chosen. Use this skill to concentrate effort, sequence work decisively, and finish a meaningful breakthrough before expanding.

criticism-self-criticism

触发：当一项工作已经完成、进入阶段验收、收到批评反馈，或反复出现同类错误需要系统纠偏时调用；常见信号包括 review、audit、retrospective、quality check、纠错与复盘。 English: Trigger after delivery or at a review checkpoint when quality must be examined honestly and errors must be corrected without defensiveness. Use this skill for structured self-review, feedback processing, and continuous correction.

opensci-skill

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Help an agent familiarize itself with any scientific Python library or codebase so it can write a high-quality opensci skill for that library. Use when creating, auditing, or refactoring opensci skills for published packages, source-only repositories, namespace packages, or mixed-layout projects. Content is optimized for agent consumption. Trigger keywords: write skill, create skill, new skill, opensci skill, skill for library, audit skill, skill quality, scientific skill, library skill, familiarize library, api dictionary, symbol index, function lookup.