PROMPTS
1346 original and curated AI prompts across image, video, music, and tutorials. Browse by tool, use case, and difficulty; each entry shows its available notes and examples.
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Claude Code TDD Loop: Red, Green, Refactor Done Right
Forces Claude Code through a strict red→green→refactor cycle: for every behavior, first write a test that fails (red) and actually run it to prove the failure, then write the minimal implementation that just makes it pass (green), and finally refactor under the safety of the passing tests. Cures the AI's old habit of jumping straight to the happy path, skipping edge cases, and faking test coverage.
Claude Code Bug-Fix Loop: Reproduce, Isolate, Fix, Verify
Corrects Claude Code's tendency to 'see an error and start randomly editing' into a disciplined 4-step debugging process: reliably reproduce the bug first, isolate the true root cause (not just the symptom) through minimization, write a regression test that fails, apply the smallest possible fix, then run the full test suite to prove it's fixed without breaking anything else.
Codex Rigorous Diff Reviewer: Correctness, Simplification, and Security in Three Tracks
Has Codex do a disciplined code review of your git diff across three tracks (correctness bugs / simplification-and-reuse / security), listing each finding with a confidence level and a pastable fix, and explicitly instructed to say so when nothing's wrong instead of manufacturing complaints.
Codex Bug-Fix Closed Loop: Reproduce First, Fix Second, With Rerunnable Verification
Forces Codex through a closed loop — write a failing test that reproduces the bug, find the root cause, make the minimal fix, watch that same test go from red to green, then run the full test suite to confirm no regressions — eliminating both 'fixed it without verifying' and 'changed a bunch of unrelated stuff along the way.'
Codex Characterization Tests for Legacy Code: Lock In Current Behavior, Target Edge Cases, Zero Behavior Changes
Has Codex write characterization tests for untested legacy code: it first reads and documents what the code 'actually does right now' (bugs included), systematically covers the happy path plus edge cases and error paths, and is strictly forbidden from modifying the code under test.
Migrating from Cursor to Claude Code / Codex: An Inventory-and-Kickoff Prompt
Has the agent automatically inventory your Cursor project (.cursorrules, .cursor/rules, .cursor/mcp.json), produce a step-by-step migration plan, and generate the corresponding CLAUDE.md or AGENTS.md, slash commands, and MCP config — so you're not stuck 'dumber than Cursor' on day one.
AI Agent Definition-of-Done Self-Check Spec
A Definition of Done template you can paste into any coding agent, turning 'what counts as done' into a checklist the agent must self-verify item by item: behavior meets acceptance criteria, tests/lint/typecheck/build all pass (or it states why they didn't run), risky changes come with a rollback plan, and a final 'verification story' is delivered. Puts an end to agents claiming 'done' while everything is actually broken.
Safe Multi-File Refactoring: Map Blast Radius, Then Batch and Verify
A large-refactor playbook for agents: first do a read-only survey of the 'blast radius' — which files, call sites, and tests are affected — then split the change into small batches, each preserving behavior, each run through its own tests, each its own atomic commit. Puts an end to 'change 40 files at once, then the build breaks and no one knows where to start fixing it.'
Regex Translator: Plain Language In, Regex Plus Line-by-Line Explanation Out
No need to memorize regex syntax — describe in plain language what you want to match, and the AI gives you the regex, an explanation of what each part does, and test cases.
Plain English to SQL: Describe What You Want, Get the Query
Converts plain-language requests like 'find customers who bought more than 3 times last month' into an executable SQL query plus an explanation — give it your table schema for even more accurate results.
The Feynman Technique: Explain Any Hard Concept So a 12-Year-Old Gets It
Use the Feynman Technique to have AI teach you: first explain it clearly in plain language with an analogy, then flag the point you're most likely to misunderstand, and finish with a self-check.
Decision Matrix: Get Unstuck Between Two or Three Options
Hand the AI the options you're torn between; it lists the key considerations, gives weighted scores, points out risks you might have missed, and gives a reasoned recommendation.
Cold Outreach Emails That Get Replies: A 4-Line Template That Doesn't Read Like a Sales Pitch
For emailing strangers: one line of relevant opening, one line naming their pain point, one line of concrete value, and one low-friction CTA — avoiding the 'our company was founded in...' dead-on-arrival opener.
Landing Page Copy: Using AIDA to Turn Scrollers into Buyers
Generate a full sales-page copy skeleton in one shot: an attention-grabbing headline, amplified pain points, stacked benefits, objection handling, and a strong CTA — ready to drop your product straight in.
Ad Headlines ×10: Generate 10 Different Hook Angles for One Product
Ad testing creative for Facebook / Google: generate 10 headlines from different angles (curiosity, numbers, pain points, contrast, urgency...) at once, ready for A/B testing.
YouTube Title + Thumbnail Text: Pushing CTR from 4% to Double Digits
Generates 5 title-plus-thumbnail-text combinations for a single video — the title creates curiosity, the thumbnail adds non-redundant information, and together they drive more clicks than either alone.
AEO Content: Write Passages ChatGPT / Perplexity Will Actually Cite
The new traffic battleground in 2026 is getting cited by AI. Write your topic in the format AI models love to pull from: direct answers, clear structure, and authority signals.
Sales Objection Handler: What to Say to 'Too Expensive / Let Me Think / No Time'
Gives you a response script for each of the most common customer objections — not a hard pitch, but 'acknowledge first, then reframe' — phrased naturally so it doesn't sound rehearsed.
Faceless Short-Video Script: Hook People in 30 Seconds, With a Twist
A complete faceless short-video script: a 3-second hook, value in the middle, a CTA at the end, with voiceover plus shot descriptions ready to pair with AI-generated video.
Long-Form to X / Threads Thread: Turn One Article into a Shareable Thread
Rewrites a long article / blog post / report into a 6-9 post thread for X or Threads: the first post as the hook, one point per post, and a CTA at the end.
AI Agent Task Spec: Turn Vague Requests into Executable Instructions
2026 has entered the agent era — this template turns 'I want X' into an executable spec for an agent: goal, steps, available tools, definition of done, and boundaries.
AI Code Review: Catch Bugs, Security Issues, and Readability Problems
Have AI review your code like a senior engineer: it flags concrete issues and fixes across four dimensions — correctness, security, performance, and readability — instead of vague praise.
Personal Brand Post Batch: Generate 5 Angles on One Topic in a Single Pass
Building a personal brand doesn't mean racking your brain for a new angle every day — give it one topic, and it produces 5 social posts from different angles (story / opinion / how-to / contrast / interactive) in one go.
Meeting Notes to Action Items: Paste a Transcript, Get Who/What/When
Turns a messy meeting transcript or notes into decisions, action items (owner + deadline), and open questions — done in 30 seconds after the meeting.