Agent Prompting & Delegation
Best practices for writing effective Task tool prompts that produce clear, structured outputs from sub-agents. Covers context engineering, instruction clarity, output format specification, and parallel delegation patterns. MUST BE USED PROACTIVELY when spawning sub-agents to ensure high-quality results.
effective-prompting
Master effective prompting techniques for Claude Code. Use when learning prompt patterns, improving task descriptions, optimizing Claude interactions, or troubleshooting why Claude misunderstood a request. Covers @ mentions, thinking keywords, task framing, and iterative refinement.
custom-slash-commands
Guide for creating custom Claude Code slash commands - shortcuts for frequently-used prompts and workflows. Use when creating reusable prompts, automating common tasks, or building team workflows. Covers frontmatter, arguments, bash execution, and namespacing.
emotional-stakes
Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness
instruction-engineering
Use when: (1) constructing prompts for subagents, (2) invoking the Task tool, or (3) writing/improving skill instructions or any LLM prompts for maximum effectiveness
instruction-optimizer
Use when instruction files (skills, prompts, CLAUDE.md) are too long or need token reduction while preserving capability
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
frontend-ui
Create aesthetically pleasing, visually distinctive frontend UIs using research-backed prompting strategies from Anthropic's frontend aesthetics cookbook
superwhisper-custom-mode
Guide for creating effective Custom Mode prompts and examples for Superwhisper, an AI dictation app. Use when users want to create, improve, or understand Superwhisper custom mode instructions for processing dictated speech with context-awareness, and when users want to generate examples.
prompt-enhancer
Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models, backward-compatible rewrites. Actions: improve, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, prompt optimization, token efficiency, LLM prompt, AI prompt, clarity, structure, system prompt, user prompt, few-shot, chain-of-thought, instruction tuning, prompt compression, token reduction, prompt rewrite, semantic preservation. Use when: improving unclear prompts, reducing token consumption, optimizing LLM outputs, restructuring verbose requests, creating system prompts, enhancing prompt clarity.
AILANG
Write AILANG code. ALWAYS run 'ailang prompt' first - it contains the current syntax rules and templates.
optimize-prompt-gepa
Optimizes prompts using full GEPA methodology (Genetic-Pareto Evolution). Use when user wants to improve a prompt's accuracy on test cases, mentions "optimize prompt", "improve prompt", or has examples of desired input/output pairs. Implements Pareto frontier selection, trace-based reflection, and crossover mutations.
prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
prompt-engineering
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
emerging-tech
Emerging technologies (prompt engineering, AI agents, red teaming) and leadership roles (product manager, engineering manager, DevRel).
llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
few-shot-prompting
Example-based prompting techniques for in-context learning
prompt-design
Core prompt design patterns and templates for effective LLM communication
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