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LLM integration patterns including API usage, streaming, function calling, RAG pipelines, and cost optimization
Passed 22 of 22 test cases with the skill, and 13 of 22 without it.
and 8 more in the full report
9 fixed13 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
In a model selection router function in TypeScript, what model string should be returned as the default fallback when the task type is unrecognized?
| Checked | Without skill | With skill |
|---|---|---|
| defaults to claude-sonnet-4-20250514 | Missed | Passed |
The instructions your model reads when the skill loads.
import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic();
async function generateResponse(
systemPrompt: string,
userMessage: string,
options?: { maxTokens?: number; temperature?: number }
): Promise<string> {
const response = await client.messages.create({
model: "claude-sonnet-4-20250514",
max_tokens: options?.maxTokens ?? 1024,
temperature: options?.temperature ?? 0,
system: systemPrompt,
messages: [{ role: "user", content: userMessage }],
});
const textBlock = response.content.find(block => block.type === "text");
return textBlock?.text ?? "";
}
async function streamResponse(
messages: Array<{ role: "user" | "assistant"; content: string }>,
onChunk: (text: string) => void
): Promise<string> {
const stream = client.messages.stream({
model: "claude-sonnet-4-20250514",
max_tokens: 4096,
messages,
});
test cases passed, vs 13 / 22 without
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