baby-education
Makes agent explain concepts with extreme clarity for beginners learning new topics or projects. Uses analogies-first approach, visual mental models, and ELI5 style to transform complex technical explanations into accessible learning experiences. Trigger when user is new to a technology, starting a project, or explicitly requests simple explanations.
coolhunter
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creative-copywriting
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diverse-content-gen
Agent workflow for generating highly diverse creative content using Verbalized Sampling (VS) technique. Use when user requests multiple variations, brainstorming, creative ideas, or when standard prompting produces repetitive outputs. Increases diversity by 1.6-2.1× while maintaining quality. Works for: blog posts, social media captions, stories, campaign ideas, product descriptions, taglines, and open-ended creative tasks.
framework-critical-thinking
Architectural framework for building AI agents with critical thinking capabilities - structured reasoning selection (CoT/ToT/GoT), metacognitive monitoring, self-verification, and cognitive bias detection. Use when building or enhancing AI agents that require reliable, self-correcting, and transparent reasoning.
framework-initiative
Framework for agents to understand implicit user intent, think before acting, and consider action impact. Uses STAR framework (Stop-Think-Analyze-Respond) to prevent literal execution that doesn't match context. Use when agent receives ambiguous requests, abstract commands like "fix", "improve", "delete all", or actions with potential wide-scope impact. Trigger on code modification requests without explicit scope constraints.
humanize
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imagine
Prepare detailed, professional prompts for Google Imagen 3/4 image generation. Supports character, environment, and object prompts using natural language with technical photography specifications. Extensible support for multiple art styles via reference files.
prompt-engineering
Use when you need to design effective LLM prompts. Intelligently selects optimal prompting methods (Chain of Thought, Few-Shot, Zero-Shot, ReAct, Tree of Thoughts, Self-Consistency) and output formats (XML, JSON, YAML, Natural Language) based on task complexity, target LLM, accuracy requirements, and available context. Trigger on prompt design, prompt optimization, or when choosing between prompting techniques.
readme-expert
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red-teaming
Comprehensive red teaming methodology for both cybersecurity and AI/LLM systems. Use when conducting adversary emulation, vulnerability assessment, attack simulation, or security validation. Trigger on requests for penetration testing, threat modeling, security audits, MITRE ATT&CK operations, LLM safety testing, prompt injection attacks, or compliance validation (OWASP, NIST, TIBER, DORA, EU AI Act). Apply when users ask to "test like an attacker", "red team our system", "validate security posture", "assess LLM vulnerabilities", or "simulate cyber attacks". Includes planning frameworks, execution strategies, reporting templates, and progressive references to specialized attack techniques and tools.
screenwriter
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skillkit
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social-media-seo
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storyteller
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thread-pro
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tinkering
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