“Prompt engineering”

Rewrites a draft prompt intended for Claude into a stronger, more reliable one, applying Anthropic's own prompt engineering techniques (specificity…

Manage the Prompt Engineering Daily Digest pipeline.

Turn a rough prompt into a precise, self-contained prompt engineered for an AI agent to execute.

Use for AI and agent engineering work: system prompt design, tool call architecture, context engineering, memory and learning systems, multi-agent…

Create or edit agent-facing/LLM prompts using modern prompt-engineering practices.

Use when the user asks about AI coding jargon, wants to clarify a term like context engineering, harness engineering, prompt engineering, or agent harness, or…

Create or edit agent-facing/LLM prompts using modern prompt-engineering practices.

Expert-level AI Application Engineer with deep knowledge of RAG systems, LangChain, LlamaIndex, vector databases, prompt engineering, LLM API integration, and…

Reusable prompt templates, multi-step workflow chains, and quality gates for any MCP client.

Turns a rough prompt into one optimized prompt through a short interview, a critical review and a rewrite with the 1337:prompt-engineering skill, and outputs…

Expert prompt engineering pour Seedance 2.5 (ByteDance / Dreamina / Jimeng / Doubao), modèle vidéo 30 s en une passe, audio natif, 50 références max.

Creates high-clarity, unambiguous, and effective prompts for LLMs and autonomous agents using structured prompt engineering techniques.

Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs.

Overview of six AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit…

Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control.

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI…

Generate optimized, domain-agnostic prompts via a 5-circle validation pipeline fused with 18 optimization hacks.

Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration.

Route visual requests to image generation, restoration, Nothing design, memes, character stories, video production, prompt engineering, memory, or the exact…

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit…

Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.).

Use when learning about Claude models, capabilities, pricing, prompt engineering, extended thinking, effort levels, vision, PDF support, streaming, structured…

LLM app development with RAG, prompt engineering, vector databases, and AI agents

Make an engineering drawing of a part as a PDF - orthographic views with hidden lines and centre marks, real dimensions, hole callouts, notes and a title…