Apply when repeated fixes sharing an assumption fail. State the assumption and choose an observation that can challenge it before trying another fix that depends on it.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。
读取 https://funcoding.ai/skills/michael-denyer/pstack-claude/principle-attack-the-premise/install.md ，按里面的步骤帮我安装这个 Skill。
When two or more fixes sharing an assumption fail the same gate, write down what they assumed. Before another fix depends on it, choose an observation or experiment that can challenge it.
Match the experiment to the hypothesis. Two timeout increases may assume requests reach the intended destination. Check the actual destination before increasing the timeout again.
When the hypothesis concerns uneven allocation, ownership, or assignment, count resources or work per actor. Measure the distribution and trace the assignment per Fix Root Causes. Recommend redistribution, rotation, or reassignment only when evidence connects that assignment to the failure. An even distribution weakens the imbalance hypothesis; it does not rule out a shared defect. Every worker can leak at the same rate.
Keep a rerunnable experiment when useful, per Build the Lever. Do not turn this into a mandatory census for unrelated bugs.
This principle questions an assumption about the existing system. Redesign from First Principles rebuilds a design around a new requirement.
anthropics/skills180kApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
AI 与智能体
anthropics/skills180kA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
AI 与智能体
anthropics/skills180kanthropics/skills180kGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
AI 与智能体
anthropics/skills180kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
AI 与智能体
anthropics/skills180kStop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
AI 与智能体