"Phase 1 requires web search. You can install a free search skill via

npx skills add

or provide source URLs manually and I'll work from those."

INSTALL.md

• Simulate an agent, run an agent loop, or test agent behavior
• Generate prompts for a product, create GEO audit prompts, build a prompt bank, or test how AI responds to problems a product solves
• Create simulation prompts, build a prompt set for AI visibility testing, or create unbranded pain prompts for a SaaS or cloud product

workflows/agent-simulation.md

1. Ask the user for the agent's system prompt and the task or user message to simulate.
2. Step through the agent loop: reason → decide → act → observe → repeat.
3. Show each step clearly labeled. Stop when the agent reaches a terminal state or the user says to stop.
4. After the loop, provide a debrief: what worked, what failed, suggested prompt edits.

workflows/geo-simulation-prompts.md

1. Gather product information (URL, name, or description) and extract a vocabulary banned list from the product's own positioning language.
2. Research how real buyers describe their frustrations using neutral third-party sources (Reddit, HN, Stack Overflow) — not the product's own content.
3. Map 4-6 distinct buyer journeys before writing any prompts.
4. Draft 15-25 prompts that are pain-focused, unbranded, naturally worded, and each backed by a real neutral source URL.
5. Run the quality review: no multi-sentence prompts, no "How do I" openers, no vocabulary leakage, no educational-pattern prompts.
6. Output as a structured markdown file grouped by theme with persona, journey, and source tags per prompt.

• Always clarify ambiguous inputs before generating — one focused question beats several.
• Show your reasoning when making structural decisions.
• Prefer iteration over perfection on the first pass.
• Keep outputs concise unless the user asks for long-form content.