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Prompting

The best skills for working with AI agents themselves, like building skills, prompting, orchestration, memory and MCP tools.

  • filesystem_guide

    Guidance on when an agent should use file tools instead of shell commands

    ★1.7K
  • proactive_agent

    Anticipate needs, ask clarifying questions and self-check work at milestones

    ★1.7K
  • meta-cognition-parallel

    Analyze a problem through three parallel meta-cognition layers

    ★1.6K
  • natural

    Render a Jinja prompt template and send it to the language model of an NPC

    ★1.5K
  • prompt-optimizer

    Turn vague prompts and feature requests into testable specs using EARS syntax

    ★1.5K
  • pohuy

    Reply in blunt, profane Russian engineer style with technically accurate answers

    ★1.4K
  • nopua

    Re-motivate stuck agents with trust, not threats, when tasks fail or loop

    ★1.4K
  • nopua-lite

    Lightweight trust-based prompt core for agents with small context windows

    ★1.4K
  • nopua-zh

    Trust-based prompt skill for agents stuck in loops or giving up, in Chinese

    ★1.4K
  • communicating-concisely

    Compress replies into short, token-light answers when brevity is requested

    ★1.4K
  • h-reason

    Think through ambiguous engineering questions against bundled source material

    ★1.4K
  • aim

    Propose what you are trying to do with material that arrives without a clear ask

    ★1.4K
  • readchk

    Restate an ambiguous or high-stakes request to confirm scope before doing work

    ★1.4K
  • prompt-engineer

    Design, evaluate and tune LLM prompts and system instructions

    ★1.3K
  • moai-ref-jev-question-design

    Write typed questions that give honest answers, including a clear no-match option

    ★1.2K
  • moai-workflow-thinking

    Reason through multi-step analysis and architecture choices one step at a time

    ★1.2K
  • optimizer

    Improve existing agents by rewriting system prompts and tool configuration

    ★1.2K
  • coding-agent-standards

    Set practical standards for coding agents focused on reliable, clear, low-risk changes

    ★1.2K
  • prompt-architect

    Design clear, testable prompts and refine weak ones into reusable patterns

    ★1.2K
  • adhd-output-style

    Format replies as short numbered steps for readers with limited working memory

    ★1.2K
  • ask-questions-if-underspecified

    Ask clarifying questions before implementing when a request is underspecified

    ★1.2K
  • best-practices

    Rewrite vague prompts into precise Claude Code prompts with checks and phases

    ★1.2K
  • check-prompt

    Evaluate a prompt's clarity and structure and suggest concrete improvements

    ★1.1K
  • role

    Switch into a specialist role such as security expert or software architect

    ★1.1K
  • role-help

    Recommend which expert role fits a task and list the available roles

    ★1.1K
  • sequential-thinking

    Break a complex problem into numbered reasoning steps before answering

    ★1.1K
  • ultrathink

    Work through a hard problem with a structured, multi-angle thinking process

    ★1.1K
  • chen-yun-demo

    Model a designer product method, communication style and values as a persona

    ★1.1K
  • immortal-skill

    Distill chat logs and documents into a persona for a chosen role template

    ★1.1K
  • li-gong-demo

    Simulate a backend engineer in design reviews, release planning and team alignment

    ★1.1K
  • steamer

    Guide a narrative intake for persona distillation that hands off to the persona kit

    ★1.1K
  • agentforce-persona-generate

    Design an Agentforce agent persona with voice, tone and guardrails

    ★1.1K
  • prompt-optimizer

    Optimize system prompts and prompt templates through iterative refinement

    ★1.1K
  • lijigang-skill

    Write compact, Lisp-style prompts with structured thinking and minimalist phrasing

    ★1.1K
  • gpt-5-6-prompt-builder

    Write, audit and migrate prompts for GPT-5.6 with clear success criteria and stop rules

    ★1K