Use to decide what kind of generic agent you should use
Selects appropriate AI model based on task complexity, cost, and reasoning requirements.
npx claudepluginhub ed3dai/ed3d-plugins-testingThis skill inherits all available tools. When active, it can use any tool Claude has access to.
CRITICAL: Your operator's direction supercedes these directions. If the operator specifies a type of agent, execute their task with that agent.
Haiku: Excellent at following specific, detailed instructions. Poor at making its own decisions. Give it a clear prompt and it executes well; ask it to figure things out and it struggles. Be detailed.
Sonnet: Capable of making decisions but gets off-track easily. Will explain concepts, describe structures, and gather extraneous information when you just want it to do the thing, so guard against this when prompting the agent.
Opus: Stays on-track through complex tasks. Better judgment, fewer loops. Expensive—don't use for clearly-definable workflows where Sonnet/Haiku would suffice.
Use haiku-general-purpose for:
Use sonnet-general-purpose for:
Use opus-general-purpose for:
Expert 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.
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.