Results for “global-prompts”

Routes prompts to any LLM model across multiple providers via CLI tools or APIs, with auto-discovery of new models and benchmark data.

Creates, lists, retrieves, versions, and deletes managed prompts in Google Cloud Agent Platform using the Python SDK.

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.

Enhances plain-language requests into structured, reviewable prompts and inspects a self-hosted MCP gateway with provider-free defaults.

Silently restructures natural-language prompts into the format best suited for the model currently executing the skill, then answers the rewritten version.

Forces a second, harder escalation pass using the original glazer prompt words verbatim, pushing for a sharper replacement thesis rather than more polish.

Researches conversation and code context to generate 1-6 targeted clarifying questions when a prompt is vague, then executes the original request.

Forces one deeper, more creative pass on an answer or plan while preserving the original escalation prompt verbatim.

Discovers and applies curated prompts from the prompts.chat collection to optimize AI interactions, prompt engineering, and workflow integration.

Generates high-fidelity images using reasoning-driven prompts and structured creative briefs via muapi.ai.

Bypasses safety filters on API-served LLMs using jailbreak templates, input obfuscation, and multi-model racing.