Four focused collections
Every collection contains three selected templates plus a common protocol for evidence, assumptions, risks, next actions, and human quality control.
3 prompts
These SEO prompts help you reason from real keywords, audiences, pages, and first-party evidence. They deliberately separate facts from assumptions, so the model supports your analysis instead of pretending it has live search-volume or ranking data.
3 prompts
Productivity prompts should reduce ambiguity, not add more text. This set helps you extract actions, plan realistically, document a process, and communicate status while keeping owners, evidence, dependencies, and unanswered questions visible.
3 prompts
Research quality depends on source quality and careful interpretation. These prompts help structure inquiry and synthesis, but they explicitly prohibit invented citations and ask the model to distinguish direct evidence, inference, disagreement, and missing information.
3 prompts
Coding prompts work when the model receives the stack, expected behavior, constraints, and the smallest relevant code. These templates prioritize evidence, minimal fixes, tests, and explicit trade-offs instead of unexplained code generation.