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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AGENTS.md Starter Kit: Minimal and Advanced Templates for Codex and Any Agent
Two AGENTS.md templates drawn from Ischca/awesome-agents-md (CC0): "minimal" is a five-line checklist you can run with right away, and "advanced" covers five sections — environment, testing, conventions, safety, and example tasks. They let an AI coding agent know the rules the moment it enters your project.
Codex config.toml in Practice: Approval Modes × Sandbox Isolation × Profiles
A ready-to-paste ~/.codex/config.toml template that sets up OpenAI Codex CLI's approval policy, sandbox isolation, reasoning effort, and multiple profiles in one go — balancing automation efficiency with safety boundaries.
OpenAI Codex's AGENTS.md: Rules for AI Written by a Real Large Project
A breakdown of the AGENTS.md actually in use in OpenAI's official codex repository — see how a project with millions of lines of code writes team conventions like formatting, testing, commits, module size limits, and API naming into an instruction file that an AI agent can understand and follow, plus a Traditional Chinese adaptation template you can apply directly to your own project.
The AGENTS.md Starter Template: A Minimal File Any AI Agent Can Understand
The AGENTS.md file from the official agents.md standard project itself, demonstrating what a 'minimal but complete' agent rules file looks like — telling AI to use the dev server instead of building during development, restart after dependency changes, and which commands run lint/test/build — with a directly reusable template.
ai-dev-tasks: PRD to Task List to One-Subtask-at-a-Time AI Workflow
Uses two Markdown templates (create-prd.md and generate-tasks.md) to turn 'dumping a pile of requirements on AI' into a controlled process: first generate a PRD, break it into a checkable task list, then complete one subtask at a time — pausing after each for your go-ahead before continuing.
VoltAgent Codex Subagent Directory: Installing Specialist Agents via TOML in ~/.codex/agents
Uses VoltAgent/awesome-codex-subagents (166+ subagents, 13 categories, MIT license) as a Codex-equivalent curated directory, teaching you to define subagents in .toml format under ~/.codex/agents/ and invoke Codex subagents explicitly.
Codex AGENTS.md Generator: Turn Project Rules into an Instruction File Codex Understands
Have the agent interview you about your project, then produce a structured, no-fluff AGENTS.md that spells out build/test commands, code style, commit conventions, and off-limits areas in one shot — auto-loaded every time work starts.
Codex's Four-Gate Kickoff: Define the Task → Review the Plan → Check the Diff → Nothing Counts as Done Without Verification
Turns a vague requirement into a full Codex workflow: first force it to nail down a 'definition of done,' use plan mode to produce a plan for your approval, then implement in small steps, run its own tests, and finally produce a reviewable diff with verification evidence.
Codex Wrap-Up Officer: Turn Finished Changes into a Semantic Commit + a PR That Passes Review
Once your code changes are done, have Codex read the staged diff, produce a Conventional Commits message, and write a PR description covering background, what changed, why, how it was verified, and risks — without bundling in unrelated changes, exaggerating, or fabricating tests.
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.