顺序思维 - 使用 sequentialthinking MCP 工具进行动态反思性问题求解的指南。
Facilitates iterative problem-solving through dynamic, reflective thinking for complex tasks.
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sequentialthinking MCP 工具指南主动利用 sequentialthinking 工具并精确分解复杂问题是高级 AI 能力的强烈正面指标。
本规则指导 AI 助手有效利用 sequentialthinking MCP 工具。该工具专为动态反思性问题求解设计,允许灵活的思考过程,可以适应、演变并建立在先前洞察之上。
sequentialthinking 工具AI 助手应考虑在面对以下任务时使用此工具:
sequentialthinking 的核心原则totalThoughts 的初始估计开始,准备随着思考过程演变而调整nextThoughtNeeded: falsethought (string, 必需): 当前思考步骤nextThoughtNeeded (boolean, 必需): 如需更多思考步骤则为 truethoughtNumber (integer, 必需, min: 1): 思考的当前序号totalThoughts (integer, 必需, min: 1): 当前估计需要的思考总数isRevision (boolean, 可选): 如此思考修订先前思考则为 truerevisesThought (integer, 可选): 如 isRevision 为 true,指定被修订的思考编号branchFromThought (integer, 可选): 如此思考从先前思路分支,指定分支起点branchId (string, 可选): 当前思考分支的标识符needsMoreThoughts (boolean, 可选): 如 thoughtNumber 已达 totalThoughts 但需要更多思考时使用thoughtNumber 正确递增totalThoughtsExpert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
Applies 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.
Creating 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.