“prompt engineering”

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

Promptx

gautampachnanda101

Local-first encrypted memory and AI assistant handoff.

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…

Subagent "instructions-writer" from VRSEN/agency-swarm: Write optimized agent instructions using prompt engineering best practices

Design or improve Starlight agents from a value opportunity through architecture, agent contracts, prompt engineering, bounded proactivity and evaluation.

Forge vague natural-language requests into precise, engineering-grade prompts using the CRAFT framework (Context, Role, Action, Format, Tests).

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Design and build use cases, POCs and production systems with TypeSafe's Jev decision model (System One): choose a design mode and a use-case archetype, build…

Professional prompt engineering for Midjourney v6, Flux.1, SDXL, and DALL-E 3 for graphic designers.

Use OpenAI CLIP for zero-shot image-text inference, prompt engineering, feature extraction, and responsible evaluation.

AI product development patterns — LLM integration, structured output, RAG architecture, prompt engineering, streaming, cost optimization, and AI UX.

This skill should be used when the user asks about "text-to-image", "AI image generation", "prompt engineering", "Higgsfield", "Nano Banana Pro", "KLING"…

Expert logo prompt creator for ChatGPT Image 2.0.

Route AI agent engineering prompts to architecture, orchestration, evaluation, safety, debugging, context, prompt, MCP, persona, local AI, and Compound…

MCP server for AI-enhanced prompt engineering and request conversion.

AI prompt engineering game: challenges, leaderboards, community prompts.

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para…

Audits a given scope (skill, system prompt, tool set, CLAUDE.md, or project) against context engineering best practices and applies improvements.

USE WHEN: writing system prompts, structuring complex instructions, engineering context for Claude agents, optimizing attention efficiency in long prompts.

Collaboration layer for AI engineering teams: prompt management, agent observability and evals

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