Refina y mejora prompts borrador antes de ejecutarlos. Toma una idea cruda del usuario y la convierte en un prompt claro, completo y accionable.
Diagnostique pourquoi un prompt produit des résultats indésirables et propose des corrections. À utiliser quand le LLM hallucine, ignore des instructions, donne un mauvai — from…
Design and review long agent-facing prompts such as AGENTS.md, CLAUDE.md, SKILL.md, subagent tasks, system prompts, and cron prompts.
Load and execute a prompt from the project's .claude/prompts/ directory
Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models.
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW) — from…
Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, fe — from…
Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, fe — from…
Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation.
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW) — from…
Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation.
Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts.
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW) — from…
World-class expert in prompt engineering, LLM fine-tuning, RAG systems, and AI/ML workflows. Use when crafting prompts, designing AI agents, building knowledge bases, implementing…
Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent…
Expert prompt engineering for building AI agents via Claude, GPT, and Gemini APIs. Triggers when: writing or editing system prompts, tool descriptions, agent instructions,…
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW) — from…
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt manage — from…
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt manage — from…
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug age — from…
Улучшает и структурирует короткие неструктурированные промпты и постановки задач, превращая их в подробные императивные ТЗ с пронумерованными шагами анализа, явными граничными…
Enhance user prompts by analyzing project context (code structure, dependencies, conventions, existing patterns).
Transform vague prompts into actionable specs using intelligent analysis and session memory. Use when user input contains -e or --enhance flag.
Phase 0.2 — Enriches the raw user prompt with discovered constraints, ambiguities, likely edge cases, and suggested scope boundaries.
Transform vague user prompts into structured 4-part prompts (task / scope / constraints / output). Reduces miscommunication and produces better outcomes by enforcing explicit…
Gera prompts a partir de uma estrutura modularizada com persona, contexto, tarefa, formato e regras.
Domain knowledge for extracting eval assertions and generating test invocation prompts from command/agent specs. Used for building promptfoo evaluation configs.
Create evaluations for agent prompts, tool routing, context retrieval, and coding outcomes using reproducible tasks and scoring.
Trigger: prompt review, prompt evaluation, improve prompt, evaluar prompt. Refine prompts for clearer LLM execution.
Evolves prompts through genetic-style optimization using parallel sub-agents, LLM-as-judge scoring, and iterative selection.
Expert prompt engineer that interviews users and builds high-quality prompts for any AI (Claude, Gemini, Copilot, ChatGPT, etc.).
Git for your prompts. Track every change, diff versions, rollback mistakes, never lose a good prompt again. All local, zero dependencies, works offline.
Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval…
Meta-skill for improving and optimizing prompts using Anthropic's prompt engineering best practices. Provides the 4-step improvement workflow (example identification, initial…
Analyze and improve plugin prompts, skill definitions, and command instructions for clarity, safety, and effectiveness.
Assemble the general-mode system prompt from P-006 layered templates (core/domain) plus project memory and conversation summary.
Use when a workflow reads untrusted webpages, issues, emails, documents, retrieval content, attachments, or tool output before acting.
Use when iteratively improving agent prompts through automated LLM-as-Judge evaluation. Runs eval→fix→commit loop with circuit breakers.
Use when the user asks to create, refine, evaluate, or optimize an LLM prompt. Do NOT trigger for Claude Code skills (use skill-creator) or when rewriting an existing skill (use…
Orchestrator skill for the `prompt` skillset. Dispatches to member skills in a safe, predictable order.
LLM prompt engineering: analyzes failure modes, generates variants (direct, few-shot, CoT), designs rubrics, produces test suites.
Systematic learning of 58+ AI prompt engineering techniques with real-world cases and personalized learning paths.
Guide selection of appropriate prompt level for a task. Use when choosing between simple prompts and complex workflows, applying the seven levels framework, or matching task…
A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques.
Build a personal library of reusable prompts for the things you ask AI again and again — so you stop rewriting the same request from scratch.
Organize and tag your personal prompt collection into a structured markdown catalog with an index table.
คลัง prompts แบบ minimal ที่ใช้ token น้อยที่สุดแต่ได้ผลลัพธ์ดี พร้อม templates และ best practices
A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.
Design a learning sequence teaching prompt quality — comparing vague vs. refined prompts to show why specificity and context transform AI output.
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat.
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat.
Maintain prompt templates with dependency tracking, documentation, and validation. Use when auditing prompts, generating catalog, or checking template structure.
Centralized prompt management for LLM operations. All prompts in lib/prompts/ as named exports. Multi-level extraction, system builder, parameter injection.
Optimize and manage AILANG teaching prompts for maximum conciseness and accuracy. Use when user asks to create/update prompts, optimize prompt length, or verify prompt accuracy.
Generates optimized prompts for any AI tool. Use when writing, fixing, improving, or adapting a prompt for LLM, Cursor, Midjourney, image AI, video AI, coding agents, or any other…
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney,…
Advanced LLM prompt engineering expertise for crafting highly effective prompts, system messages, and tool descriptions with Claude-specific techniques
Construit un mega-prompt complet et structuré à partir d'un objectif simple. À utiliser quand l'utilisateur veut créer un prompt complexe et puissant de zéro.
Use when the user wants to install, verify, search, or troubleshoot the local prompt-memory archive for Codex or Claude Code prompts.