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.
instruction-optimizer
Use when instruction files (skills, prompts, CLAUDE.md) are too long or need token reduction while preserving capability
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
emotional-stakes
Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness
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.
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).
few-shot-prompting
Example-based prompting techniques for in-context learning
prompt-design
Core prompt design patterns and templates for effective LLM communication
ai-ml-technologies
Master AI, machine learning, LLMs, prompt engineering, and blockchain development. Use when building AI applications, working with LLMs, or developing smart contracts.
story-based-framing
This skill should be used when describing patterns or anti-patterns for detection by LLM agents across any domain (code analysis, business processes, security audits, UX design, data quality, medical diagnosis, etc.). Uses narrative storytelling structure ("The Promise" → "The Betrayal" → "The Consequences" → "The Source") to achieve 70% faster pattern identification compared to checklist or formal specification approaches. Triggers when creating pattern descriptions for any systematic analysis, detection tasks, or when delegating pattern-finding to sub-agents.
create-meta-prompts
Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).
meta-prompt-engineering
Use when prompts produce inconsistent or unreliable outputs, need explicit structure and constraints, require safety guardrails or quality checks, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.
prompt-optimizer
Optimize prompts for better AI performance. Use when user says "improve this prompt for better results", "optimize this prompt to reduce tokens", "apply prompt engineering best practices to this", "make this prompt more effective", "help me refine this system prompt", or "tune this prompt for the AI model I'm using".
prompt-authoring
Guidance for creating effective prompts, chains, and gates using CAGEERF methodology
prompt-engineer
Invoke IMMEDIATELY via python script when user requests prompt optimization. Do NOT analyze first - invoke this skill immediately.
ai-prompting
Effective communication strategies for AI-assisted development. Learn context-first prompting, phased interactions, iterative refinement, and validation techniques to get better results from Claude and other AI coding assistants.
openai-image-gen
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
