Agent Report Card (Pass/Fail Tests)
Builds simple pass/fail tests for an AI agent and scores a run. Why it matters: if you can't test it, you can't trust it.
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Prompt directory
A prompt library for work, code, research, photos, and more. Every prompt shows what you need to provide, what it produces, and which AI models it was tested with.
Need reusable instructions with versions and install commands? Browse Claude Code skills, Cursor skills, or the full agent skills registry—and see how an AI package manager differs from copy-paste.
Browse by model: Gemini prompts, Claude prompts, and Nano Banana photo prompts. Or start with a use case: LinkedIn headshot prompts or product photography prompts.
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9 prompts
Builds simple pass/fail tests for an AI agent and scores a run. Why it matters: if you can't test it, you can't trust it.
Four agents take turns: write the spec, build it, try to break it, then fix it. Why it matters: fewer half-done features.
Sets ChatGPT up as a qa lead persona who stays clear and careful. Why it matters: a small system beats a messy pile.
Makes A/B hook variants for the same video for a tech review channel. Does not invent views or quotes. Why it matters: clear words get more clicks than fluff.
Makes A/B hook variants for the same video for a fitness channel. Does not invent views or quotes. Why it matters: clear words get more clicks than fluff.
Build a regex with explanation and positive/negative test cases. Why it matters: clear steps stop silent bugs later.
Produce a step-by-step refactor plan with characterization tests first. Why it matters: clear steps stop silent bugs later.
Turns an issue report, logs, and code context into testable hypotheses and a minimal reproduction strategy. Why it matters: clear steps stop silent bugs later.
Converts API documentation into a coverage matrix and runnable tests for successful, invalid, and edge-case requests. Why it matters: clear steps stop silent bugs later.