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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wshobson's Flagship code-reviewer Subagent: A Senior Reviewer Inside Claude Code
Installs the flagship code-reviewer subagent from wshobson/agents (36k stars, MIT license) into Claude Code, giving you an Opus-powered senior reviewer specialized in security, performance, and maintainability that automatically takes over review after every commit.
VoltAgent Subagent Directory: Choosing and Installing Claude Code Subagents
Uses VoltAgent/awesome-claude-code-subagents (154+ subagents, 10 categories, MIT license) as a curated directory for picking the right subagent and installing it into Claude Code's .claude/agents/ using the standard YAML format.
SuperClaude Framework: /sc: Commands and Cognitive Personas for Claude Code
Distills the open-source SuperClaude framework's /sc: command system and cognitive-persona mechanism into a ready-to-use workflow prompt, upgrading Claude Code from "one question, one answer" into a structured development process covering everything from brainstorming to implementation, testing, documentation, and version control.
Agent-Rules Pack: Conventional Commits + 6-Persona PR Review + 5 Whys Root-Cause Analysis
Curates three core project-rules from steipete/agent-rules into a single rule pack usable directly as a slash command: semantic commits (12 types plus emoji, with automatic splitting into atomic commits), a 6-persona professional PR review, and 5 Whys root-cause analysis.
Writing Tech-Stack Rules into AGENTS.md / CLAUDE.md (Adapted from awesome-cursorrules)
Borrows the approach from the 40k-star awesome-cursorrules repo to codify 'how to write for a given tech stack' into a project rule file, so Cursor / Claude Code / Codex always produce code in your conventions instead of generic boilerplate.
Claude Code CLAUDE.md Generator: Set It Up Once, Not Every Session
Has Claude Code scan your repo and produce a tight, verifiable CLAUDE.md project memory file under 200 lines—covering build/test/lint commands, directory structure, conventions, and prohibitions—while routing anything that doesn't belong there into skills or path-scoped rules instead.
Claude Code Slash Command Designer: One-Click Custom /commands
Turns the checklist or multi-step process you re-paste every time into a custom slash command (.claude/commands/<name>.md, or the newer .claude/skills), with correct frontmatter, $ARGUMENTS parameters, live context pre-injected via `!cmd` (git diff, PR content), and permissions scoped down with allowed-tools.
Claude Code Skill Factory: Turn Repetitive Workflows Into SKILL.md
Has Claude Code interview you about a repetitive manual process, then produce a fully-structured Agent Skill (SKILL.md) covering name/description/trigger conditions/step-by-step instructions/acceptance criteria/supporting references, and verify it can be triggered automatically as well as invoked via a /slash command.
Claude Code + MCP: Connect External Tools to Your Dev Agent Safely
Has Claude Code help you connect an MCP server (a database, Notion, GitHub, your own API...), choosing the right transport and scope, using .mcp.json or claude mcp add, handling secrets and OAuth securely, and finally demonstrating how mcp__server__tool tools and @resource pull external data into your workflow.
Claude Code Plan-First: Force a Reviewable Plan Before Touching Any Code
Applies the spirit of Plan Mode so Claude Code hands over a structured plan (files affected, steps, risks, acceptance criteria) before touching any file—you review, correct, and approve it before execution begins. Prevents the AI from charging ahead and writing a pile of things you didn't want.
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.
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.